`, `

`, ``, `

`) to ensure AI crawlers accurately parse facts and entities. *** ## Managing Articles & Redirects * **Live URL Updates:** Editing an article title in ChatFeatured will keep the existing URL slug intact to preserve search rankings. You can manually edit the slug if needed. * **Unpublishing:** Archiving or deleting an article from your ChatFeatured dashboard immediately unpublishes it from your live blog. * **Canonical URLs:** If you republish content that originally appeared elsewhere, you can set a custom canonical URL in the article settings to prevent duplicate content penalties. *** ## Related Guides Learn how to build high-impact AEO content strategies and approve drafts. Configure your brand identity and buyer personas to guide article tone. Monitor how published articles improve your visibility across tracked prompts. Explore external CMS connectors including WordPress, Webflow, Ghost, and Shopify. # Shopify Integration Source: https://docs.chatfeatured.com/untitled-page-3 Connect your Shopify store via a private developer app to publish AEO-optimized articles directly to your Shopify blog. Connect ChatFeatured to your Shopify store to publish AI-optimized buying guides, comparisons, and educational articles directly to your Shopify blog (`/blogs/news` or any custom blog) with one click. **Publishing Only:** This integration publishes articles to your Shopify blog. AI crawler analytics aren't available on standard Shopify plans because Shopify manages the edge infrastructure and CDN logs directly. *** ## Connection Requirements To connect ChatFeatured, you will create a private app in your Shopify Developer Dashboard and provide: * **Shopify Store Domain:** Your store's `.myshopify.com` domain (e.g., `your-brand.myshopify.com`), **not** your public storefront domain (e.g., `yourbrand.com`). * **Client ID:** Found on your app's Settings page in the Dev Dashboard. * **Client Secret:** Found on your app's Settings page in the Dev Dashboard. The secret is encrypted and stored securely server-side. *** ## Step-by-Step Setup Guide Creating a private Shopify app for your store takes about 5 minutes, with no App Store listing or public review involved. 1. Go to [dev.shopify.com](https://dev.shopify.com) and sign in with the account that owns your store. 2. Open **Apps** in the sidebar navigation. 3. Select **Create app**, then click **Start from Dev Dashboard**. 4. Name the app anything you like (e.g., `ChatFeatured Publisher`). 5. Select **Create**. 1. In your new app dashboard, open the **Versions** tab. 2. Set the **App URL** to: ```http theme={null} https://chatfeatured.com ``` *(Shopify requires an App URL to save a version; ChatFeatured never calls it).* 3. Add the following access scopes: * `read_content` * `write_content` 4. **Uncheck "Embed app in Shopify admin"** if the checkbox is shown. 5. Select **Release** and confirm the new version. 1. After the version is released, go back to your app's **Home** tab in the Dev Dashboard (the app overview page). 2. In the **Installs** section, select **Install app**. 3. Choose your target store from the list, then select **Install**. The app and your Shopify store must belong to the same Shopify organization for the installation to succeed. 1. In the Dev Dashboard, open the **Settings** tab for your app. 2. Copy your **Client ID** and **Client secret**. 3. In your ChatFeatured dashboard, navigate to **Integrations** > **Shopify**. 4. Enter your store's `.myshopify.com` domain, paste the **Client ID** and **Client secret**, and select **Connect**. 5. Once connected, pick which Shopify blog ChatFeatured should publish articles to (e.g., *News* or *Blog*). *** ## Publishing Articles to Shopify Once your store is connected, you can publish articles in two ways: 1. Navigate to **Articles** in ChatFeatured. 2. Open any article in **Review** or **Approved** status. 3. Click **Publish to Shopify**. 4. Review the auto-generated title, handle, summary excerpt, and featured image. 5. Choose **Publish Now** or schedule it for a future date. Manage your publishing queue conversationally with the [AEO Agent](/ai-agents/overview): * *"Publish our approved article on 'Best Ergonomic Office Chairs for Remote Workers' to our Shopify blog."* * *"Schedule all approved buying guides to publish to our Shopify store every Wednesday at 10 AM."* *** ## How Shopify Articles are Formatted ChatFeatured formats all published content to match native Shopify blog requirements: | Field | Shopify Mapping | Description | | :----------------- | :--------------------- | :--------------------------------------------------------------------------------------------------------- | | **Title** | `Article.title` | High-converting, AEO-optimized H1 title. | | **Body Content** | `Article.body_html` | Clean HTML formatted with semantic headings (`
`, `
`), tables, bullet points, and citation anchors. | | **Featured Image** | `Article.image` | Automatically uploaded and attached as the post hero image. | | **Excerpt** | `Article.summary_html` | 1–2 sentence summary used on blog archive pages and feeds. | | **Author** | `Article.author` | The selected default store author or custom byline. | | **URL Handle** | `Article.handle` | Clean, slugified URL (e.g., `/blogs/news/best-ergonomic-chairs`). | *** ## Troubleshooting Make sure you enter your permanent store domain (e.g., `my-shop.myshopify.com`) rather than your primary public custom domain (e.g., `myshop.com`). You can find this in your Shopify Admin under **Settings** > **Domains**. Ensure that the account you used to log into `dev.shopify.com` has administrator or owner access to the target Shopify store, and that both belong to the same Shopify organization. Verify that your Shopify store has at least one active blog created. In your Shopify Admin, go to **Online Store** > **Blog posts** > **Manage blogs** and confirm a blog (such as *News*) exists. *** ## Related Guides Generate and approve high-intent commercial articles to publish to your store. Configure your brand taxonomy and buyer personas to align article topics. Track the commercial questions and product comparisons buyers ask AI engines. Explore other publishing connectors including WordPress, Webflow, and Ghost. # Setting up Agent Analytics Source: https://docs.chatfeatured.com/using-chatfeatured/agent-analytics Track AI bot activity and citations across your website Agent Analytics tracks how AI platforms discover and cite your content. Monitor when AI crawlers visit your site and see which pages get cited in AI answers. ## What Agent Analytics Tracks See when GPTBot, ClaudeBot, PerplexityBot, GoogleBot, and other AI crawlers access your pages. Track which of your pages AI models cite in their answers to user queries. Understand how often AI bots return to your site and which pages they prioritize. Discover which pages get the most AI attention and citations. ## Why Track AI Bot Activity? Traditional analytics tools like Google Analytics don't track AI agents—so you're missing a critical piece of the picture. Agent Analytics specifically monitors: * **When AI crawlers visit** your site * **What content they index** and how often they return * **Which pages get cited** in AI-generated responses This data helps you understand what content AI models find valuable and how to optimize for better visibility. ## Dashboard Overview The Agent Analytics dashboard shows key metrics at a glance: ### Citation Stats Track citations by AI platform: * **ChatGPT Citations** - Pages cited by ChatGPT/GPT models * **Claude Citations** - Pages cited by Anthropic's Claude * **Perplexity Citations** - Pages cited by Perplexity AI Each metric includes week-over-week change so you can track trends. ### Top Pages See which pages receive the most AI attention: * Page URL/path * Total bot visits * Number of unique crawlers visiting the page ### Top Crawlers Understand which AI bots visit most frequently: * Bot/agent type (GPTBot, ClaudeBot, PerplexityBot, etc.) * Total requests * Number of unique pages crawled ### Filtering Data Filter your analytics by: * **Date range** - Last 7 days, 30 days, 90 days, or custom * **Crawlers** - Filter to specific AI bots * **Pages** - Focus on specific URLs * **Domains** - If tracking multiple domains ## Setting Up Agent Analytics Agent Analytics requires a small integration to track bot activity on your site. Choose the option that fits your stack: ### WordPress The easiest option for WordPress sites: 1. Install the ChatFeatured WordPress plugin 2. Enter your API key from the Settings tab 3. Start seeing data within minutes See the [WordPress Integration](/integrations/wordpress) guide for detailed setup instructions. ### Cloudflare For high-traffic sites or non-WordPress platforms: 1. Add the ChatFeatured Cloudflare Worker 2. Configure your API key 3. Zero latency impact with edge-level tracking See the [Cloudflare Integration](/integrations/cloudflare) guide for setup details. Hosting on Webflow? Because Webflow runs on Cloudflare, you'll need an extra Orange-to-Orange (O2O) step. See [Agent Analytics with Webflow](/integrations/webflow-agent-analytics). ### API Integration For custom platforms (Next.js, Rails, Django, etc.): 1. Go to **Agent Analytics > Settings** in your dashboard 2. Create an API key 3. Send bot activity data to our API endpoint ## Best Practices ### Monitor Regularly Check your Agent Analytics weekly to: * Identify which content AI bots prioritize * Spot changes in crawl patterns * Track citation trends over time ### Optimize High-Traffic Pages Pages that receive frequent bot visits are likely to be cited in AI responses. For these pages: * Keep content fresh and up-to-date * Ensure clear, accurate information * Structure content for easy parsing ### Track New Content After publishing new content, monitor for: * Bot visits in the following days * Citations appearing in your prompt results * Changes in crawl frequency for the new page ### Correlate with Visibility Connect Agent Analytics data with your [prompt analytics](/using-chatfeatured/analytics): * Pages frequently crawled by AI bots often appear in AI responses * High citation counts typically correlate with better visibility * Use this data to prioritize content optimization efforts # Answer Engine Analytics Source: https://docs.chatfeatured.com/using-chatfeatured/analytics Understand your AI visibility trends and performance The Data Analytics dashboard provides insights into your brand's AI visibility over time. Use it to track trends, identify opportunities, and measure the impact of your optimization efforts. ## Overview Dashboard The Analytics overview shows your key metrics at a glance: ### Key Metrics The percentage of prompts where your brand was mentioned. Track this over time to measure overall visibility. The overall tone of how AI models discuss your brand—positive, neutral, or negative. How your mention rate compares to tracked competitors across the same prompts. Your visibility broken down by individual AI answer engine. ## Time-Based Analysis ### Selecting Date Ranges Use the date picker to analyze specific time periods: * **Last 7 days**: Recent performance snapshot * **Last 14 days:** Two-week trends * **Last 30 days**: Monthly trends * **Custom range**: Specific period analysis ### Trend Charts The trend chart shows your mention rate over time. Look for: * **Upward trends**: Your visibility is improving * **Downward trends**: Visibility may be declining * **Spikes or drops**: Correlate with external events or optimizations ## Performance by AI Engine Different AI engines may mention your brand at different rates. The engine breakdown shows: | Engine | Your Mention Rate | Competitor Avg | | ---------- | ----------------- | -------------- | | ChatGPT | 45% | 32% | | Claude | 52% | 38% | | Perplexity | 61% | 45% | | ... | ... | ... | Use this to identify: * **Strong engines**: Where you have good visibility * **Weak engines**: Opportunities for improvement * **Competitive gaps**: Where competitors outperform you ## Geographic Analysis If you're tracking prompts across multiple countries, the geographic view shows: * Mention rates by country * Regional variations in competitor performance * Market-specific opportunities AI responses often vary significantly by region. A brand might have strong visibility in the US but lower visibility in European markets. ## Prompt-Level Analytics Drill down into individual prompt performance: 1. Click on any prompt in the list 2. View the response history for that prompt 3. See which runs included your brand mention 4. Track how responses have changed over time ### Identifying Patterns Look for patterns in your prompt analytics: * **Consistently mentioned**: These prompts represent your strengths * **Never mentioned**: High-priority opportunities for improvement * **Inconsistent**: Your visibility is unstable for these topics ## Competitor Analytics The competitor section compares your visibility against tracked competitors: ### Head-to-Head Comparison See direct comparisons showing: * Which brand is mentioned more often * Sentiment differences between brands * Trends over time ### Competitive Gaps Identify prompts where: * Competitors are mentioned but you aren't * You have an opportunity to gain visibility * You're already winning against competitors ## Source Analysis When AI engines cite sources, ChatFeatured tracks them: * **Your sources**: How often your website or content is cited * **Competitor sources**: Which competitor content is being referenced * **Third-party sources**: Publications, reviews, or other references This helps you understand what content AI models consider authoritative. ## Using Analytics Effectively ### Weekly Reviews Set a recurring time to review your analytics: 1. Check overall mention rate trend 2. Review any significant changes 3. Identify new opportunities 4. Note any concerning patterns ### Monthly Deep Dives Once a month, do a more thorough analysis: 1. Compare month-over-month performance 2. Analyze individual prompt performance 3. Review competitor positioning 4. Update your prompt strategy based on insights ### Correlating with Actions Track how your optimizations affect visibility: 1. Note when you make changes (new content, website updates) 2. Watch for visibility changes in subsequent days/weeks 3. Correlate improvements with specific actions You can also set up custom [automations](/using-chatfeatured/automations) for these actions! ## Interpreting Results ### What Good Looks Like * Mention rate trending upward or stable * Positive sentiment when your brand is mentioned * Visibility across multiple AI engines * Consistent performance over time ### Warning Signs * Declining mention rate * Competitors gaining visibility faster * Inconsistent mentions (appearing/disappearing) * Strong in one engine but weak in others ### Taking Action When analytics reveal issues: 1. Review specific prompts with low performance 2. Analyze what competitors are doing differently 3. Use the [AEO Agent](/getting-started/how-to-aeo-agent) for recommendations 4. Implement changes and monitor results # Articles & Content Strategy Source: https://docs.chatfeatured.com/using-chatfeatured/articles Turn AI search visibility gaps into citation-worthy articles. Discover content opportunities, generate AEO-optimized drafts, and manage the publishing lifecycle. The **Articles** module is ChatFeatured's content engine. It transforms citation gaps and zero-visibility search prompts into comprehensive, citation-worthy content designed to get your brand recommended across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Every article is grounded in your [Brand Book](/using-chatfeatured/brand-book), backed by verified Google search volume data, and structured with the exact entity markers and citation formatting AI answer engines trust. *** ## Why AEO Content is Different Traditional SEO articles focus on ranking keywords in a 10-blue-links search engine. **Answer Engine Optimization (AEO)** content is engineered for conversational synthesis: Concise executive summaries and clear heading answers that AI models can extract directly for conversational snippets. Fair, authoritative comparison tables and feature matrices that answer engines cite for vendor evaluation queries. Authoritative definitions, structured schema (`Article`, `FAQPage`), and industry citations that establish domain expertise. Articles are explicitly associated with tracked search prompts where your brand currently lacks visibility. *** ## The Article Lifecycle Articles in ChatFeatured progress through an automated pipeline with full editorial control at every stage:
\[ Pending Idea ] ──► \[ Draft / Generating ] ──► \[ Review ] ──► \[ Approved ] ──►
\[ Scheduled / Published ] | Status | Description | | :--------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **Pending** | Proposed article concepts waiting for your approval. Includes title, description, strategic reasoning ("Why"), priority, target keywords, and mapped prompts. | | **Draft (Generating)** | The article has been approved and queued. ChatFeatured conducts live web research, analyzes competitor citations, and drafts the full content (2–5 minutes). | | **Review** | Generation is complete. The article is ready for your team to read, edit headings or copy, and refine metadata. | | **Awaiting Approval** | *(Optional)* Content is locked while awaiting final sign-off from an editor, legal reviewer, or stakeholder. | | **Approved** | The article is signed off and ready for 1-click or scheduled publishing to your connected CMS. | | **Scheduled** | Set to automatically publish to your CMS on a designated date and time. | | **Published** | Successfully published live to your CMS (Shopify, WordPress, Webflow, Ghost, or ChatFeatured Hosted Blog). | | **Archived** | Shelved or retired articles. Archiving releases reserved generation credits and dismisses open tasks. | *** ## Ways to Create Articles When you click **Create Article** on the Articles page, you can choose from four distinct creation modes depending on your workflow: **Let your agent analyze your AI search performance and suggest high-impact articles.**
The agent audits your prompt gaps, competitor citations, and search demand to recommend high-priority articles that directly move your visibility metrics. **Pick tags or prompts and get article suggestions targeted at them.**
Target specific underperforming search queries, product line tags, or regional clusters to build topical authority where you need it most. **Describe your idea and your agent will shape it into an article suggestion.**
Provide a rough concept, title, or scenario. The agent researches cited competitor sources and structures it into an AEO-optimized outline and strategy. **Name your article and start writing in a blank draft.**
Bring your own content or write manually using ChatFeatured's rich markdown editor while associating tracked search prompts and keywords. ## Article Content Types When articles are suggested, ChatFeatured assigns the format best suited to capture citations for the target query intent: * **Product Comparison (`product-comparison`):** Head-to-head evaluation of your brand vs. one or more competitors with structured feature matrices. * **Best-of Roundups (`best-of`):** Category roundups evaluating top market tools (e.g., *"Best AEO Tools in 2026"*). * **Comprehensive Guides (`guide`):** In-depth educational blueprints and technical workflows. * **Problem / Solution (`article` / `blog-post`):** Direct answers to troubleshooting or operational queries. * **FAQ Guides (`faq`):** Clustered question-and-answer articles optimized for FAQPage schema extraction. *** ## Step-by-Step Workflow Use **Suggest articles**, pick specific prompts/tags, enter a custom idea, or start from scratch. Suggested articles appear under the **Pending** filter with their strategic explanation ("Why"), priority score (High, Medium, Low), and mapped search prompts. Select the articles you want to produce and click **Approve Articles**. During generation (2–5 minutes), ChatFeatured: * Analyzes top-cited external URLs from AI responses for the mapped prompts. * Incorporates your [Brand Book](/using-chatfeatured/brand-book) metadata and [Knowledge Base](/using-chatfeatured/knowledge-base) collateral. * Formats direct answer paragraphs, semantic heading structures (`H2`, `H3`), and comparison tables. * Generates SEO meta titles, descriptions, excerpts, and featured images. Open the generated article in **Review** status to inspect the markdown preview. You can: * Edit body text, headings, and lists directly in the rich markdown editor. * Add or remove associated keywords and tracked prompts. * Regenerate or upload a custom featured image. * Adjust URL slugs, excerpts, and author bylines. Click **Publish** to send the article directly to your connected destination: * [Shopify](/integrations/shopify) * [WordPress](/integrations/wordpress) * [Webflow](/integrations/webflow) * [Ghost](/integrations/ghost) * [ChatFeatured Hosted Blog](/integrations/chatfeatured-blog) *** ## Associated Keywords & Prompts Every article in ChatFeatured maintains active relationships with your analytics: * **Associated Prompts:** The exact search prompts this article was engineered to influence. Once published, monitor these prompts in the [Prompts](/using-chatfeatured/prompts) tab to verify increases in brand visibility and citations over subsequent days. * **Associated Keywords:** High-intent search terms with estimated monthly search volumes and competition indexes pulled from Google Ads. **Track Impact After Publishing:** After an article is published and indexed, check its mapped prompts in the [Analytics](/using-chatfeatured/analytics) dashboard to see how quickly AI answer engines adopt your new URL as a citation source. *** ## Automated Article Generation via Playbooks Rather than approving articles manually each week, you can automate your content pipeline using [Automations (`agent-tasks`)](/using-chatfeatured/automations). Pre-built playbooks allow the AEO Agent to autonomously: 1. Scan for new 0% visibility prompt gaps every week. 2. Draft and approve high-priority articles matching your monthly quota. 3. Queue articles for generation and notify team members when drafts are ready for review. *** ## Related Guides Track the search queries driving your content suggestions. Configure company descriptions and buyer personas to align article tone. Publish approved articles directly to your Shopify store blog. Publish to ChatFeatured's native, zero-config AEO blog. # Agent Automations Source: https://docs.chatfeatured.com/using-chatfeatured/automations Configure autonomous background workflows for daily content research, weekly visibility reporting, and competitor citation monitoring. **Automations** enable your Unified AEO Agent to work autonomously in the background on recurring schedules. Instead of manually running analytics queries, auditing competitor movements, or researching content gaps every week, you can configure autonomous workflows that execute on a scheduled cadence and deliver actionable results directly to your team. Set custom recurring schedules (daily, weekly, or specific days) for continuous optimization. Receive structured performance summaries, newly discovered gaps, and execution logs in your inbox. *** ## How Automations Work Automations run completely in the cloud without requiring an open browser tab or manual intervention. At the scheduled time, the ChatFeatured Automations worker instantiates a dedicated agent session scoped to your brand workspace. The agent checks its **3-Tiered Persistent Memory** and historical execution logs. It verifies what topics were previously generated, what tasks are currently open, and which editorial rules apply to prevent duplicate work. The agent executes the required workflow across platform modes: * Queries the latest AI model runs (ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, Google AI). * Identifies net-new citation sources and visibility drops. * Pulls search demand from Google Ads API. * Drafts articles, audits site health, or flags PR outreach targets. Results are logged to the **Automations Run History**, surfaced to your **Opportunities Panel** or **Tasks Board**, and compiled into an executive email report sent to configured team members. *** ## Pre-Built Automation Playbooks ChatFeatured provides five core automation templates designed for Answer Engine Optimization: **Cadence:** Weekly (e.g., Mondays at 8:00 AM)
**Objective:** Provide stakeholders with a comprehensive executive brief on visibility trends, share-of-voice shifts, and model-level movements. * **What the Agent Does:** 1. Calculates Week-over-Week (WoW) visibility, sentiment, and share-of-voice deltas across all 7 tracked AI engines. 2. Highlights top-gaining and top-losing prompts and citation sources. 3. Identifies competitor movement and shifts in engine preference (ChatGPT, Claude, Gemini, Perplexity, etc.). 4. Delivers an executive email digest with key performance callouts and chart links. **Cadence:** Weekly (e.g., Wednesdays at 9:00 AM)
**Objective:** Track competitor visibility gains, newly cited third-party publications, and market share changes. * **What the Agent Does:** 1. Benchmarks your visibility and share of voice against all tracked competitor groups. 2. Detects new third-party domains, editorial URLs, and forum discussions where competitors are being cited. 3. Identifies emerging prompt topics where competitors are winning AI recommendations. 4. Surfaces actionable PR outreach, Earned Media, and UGC engagement opportunities to your Opportunities panel. **Cadence:** Weekly (e.g., Fridays at 10:00 AM)
**Objective:** Continuously monitor technical site health, crawler accessibility, structured schema, and AI bot log telemetry. * **What the Agent Does:** 1. Audits core site pages for technical AEO factors, content structure, schema markup, and `llms.txt` validity. 2. Inspects edge crawler log telemetry (Cloudflare, Vercel, AWS) to detect bot crawl anomalies, 4xx/5xx errors, or blocked user agents (GPTBot, ClaudeBot, PerplexityBot). 3. Automatically creates prioritized remediation tasks on your Task board with concrete code and metadata fixes. **Cadence:** Monthly (e.g., 1st of the month at 9:00 AM)
**Objective:** Deliver a holistic retrospective on published content performance, indexation, and citation ROI over the preceding 30 days. * **What the Agent Does:** 1. Analyzes all articles published or updated over the past 30 days across connected CMS platforms. 2. Measures post-publishing visibility and citation changes for associated prompt clusters. 3. Synthesizes search demand trends (Google Ads API) and identifies which content formats drove the highest AI citation impact. 4. Sends a comprehensive monthly performance digest to executive stakeholders. **Cadence:** Monthly (e.g., 1st or 15th of the month)
**Objective:** Automatically identify high-value search volume gaps, research, draft, and queue a batch of AEO-optimized articles. * **What the Agent Does:** 1. Scans tracked prompts where your brand visibility is 0% or lagging, but search volume and competitor citations are high. 2. Pulls target keyword phrases and monthly search volumes via Google Ads API. 3. Autonomously conducts web research and writes complete, GEO-optimized articles tailored to LLM citation structures. 4. Queues drafts in your Content pipeline (`Draft` / `Review` status) respecting your monthly plan allowances. *** ## Creating & Managing Automations You can set up automations either visually via the dashboard UI or conversationally through the AI Agent. ### Option A: Via the Automations Dashboard 1. Navigate to **Automations** (`/agent-tasks`) in the main navigation. 2. Click **+ New Automation**. 3. Choose a template playbook or select **Custom Automation**. 4. Configure the parameters: * **Task Name:** A descriptive title (e.g., *"Daily AEO Article Discovery"*). * **Schedule:** Choose frequency (Daily, Weekly, Monthly) and execution time/time zone. * **Scope & Instructions:** Provide custom instructions or prompt focus areas. * **Notification Recipients:** Select which team members receive run summaries via email. 5. Click **Create Automation**. ### Option B: Conversationally via the AI Agent You can create or modify automations directly in chat by switching to `tasks` mode: *"Set up an automation to analyze our competitor citations every Friday at 4 PM and email the report to [team@company.com](mailto:team@company.com)."* *"What scheduled automations are currently active for this brand workspace?"* *"Run the 'Weekly AI Visibility Report' automation right now so I can see current numbers."* *"Pause the daily content drafting automation until next Monday."* ## Inspecting Run Logs Every automated run produces an auditable execution trace. To inspect what an automation did: 1. Go to **Automations** (`/agent-tasks`). 2. Click on any automation to open its **Run History**. 3. Select an execution timestamp to view: * **Runtime Summary:** Duration, tokens consumed, and status (`Success`, `Completed with Warnings`, `Failed`). * **Agent Reasoning Trace:** The step-by-step logic the agent used to query analytics, evaluate competitors, and formulate actions. * **Output Artifacts:** Direct links to drafted articles, surfaced opportunities, or generated tasks. *** ## Frequently Asked Questions **Tasks (`/tasks`)** are one-time execution items (like a to-do list item: *"Write article on AEO tools"*). **Automations (`/agent-tasks`)** are the recurring scheduled jobs that autonomously run in the background (like *"Run content discovery every morning at 6 AM"*). ChatFeatured includes built-in exponential backoff and retry logic. If a data source (e.g., an external AI model) is temporarily unreachable, the automation will re-attempt execution up to 3 times before logging an error notification. Yes. Automations automatically inherit the **Brand Book**, **Personas**, and **Agent Writing Guidelines** configured in your Brand settings and persistent memory. Open the specific automation in `/agent-tasks`, click **Edit Settings**, and update the **Email Recipients** list. # Tracking Competitors Source: https://docs.chatfeatured.com/using-chatfeatured/competitors Track and compare your visibility against competitors Tracking competitors in ChatFeatured helps you understand your relative position in AI visibility and identify opportunities to outperform them. ## Why Track Competitors? When AI answer engines respond to user queries, they often mention multiple brands. By tracking competitors, you can: * See who else appears when your brand is mentioned * Identify prompts where competitors appear but you don't * Monitor competitive positioning over time * Benchmark your visibility against the market ## Adding Competitors ### Manual Addition 1. Navigate to **Competitors** in the sidebar 2. Click **Add Competitor** 3. Enter the competitor's details: * **Name**: The primary brand name * **Website**: Their main domain * **Aliases**: Alternative names or spellings 4. Click **Save** ### Suggested Competitors ChatFeatured can suggest competitors based on your brand and industry: 1. Review the suggested competitors 2. Approve any you want to track Suggestions are based on: * Brands that frequently appear alongside yours in AI responses * Companies in your category * Names mentioned in your prompt results Start by tracking 3-5 direct competitors. You can always add more as you discover them in your results. ## Managing Competitors ### Editing Competitors Click on any competitor to edit their details: * Update the name if branding changes * Add aliases to catch variations * Update website URL ### Removing Competitors To stop tracking a competitor: 1. Select the competitor 2. Click **Delete** Removing a competitor doesn't delete historical data where they were mentioned. Past results remain unchanged. ## Competitor Aliases Aliases help catch all variations of a competitor's name: * **Abbreviations**: "IBM" for "International Business Machines" * **Product names**: "Office 365" for "Microsoft" * **Common misspellings**: "Atlassian" and "Atlasian" * **Alternative formats**: "HubSpot" and "Hub Spot" Add aliases when creating or editing a competitor to ensure comprehensive tracking. ## Viewing Competitor Data ### In Prompt Results When viewing individual prompt results, you'll see: * Which competitors were mentioned in each response * Their position relative to your brand * The context of their mention ### In Analytics The analytics dashboard shows competitive metrics: * **Mention Rate Comparison**: Your rate vs. competitor rates * **Head-to-Head**: Direct comparison on shared prompts * **Visibility Trends**: How competitor visibility is changing ### Competitive Gap Analysis Identify opportunities by finding: * **Prompts where competitors appear but you don't** * **Topics where competitors dominate** * **AI engines where competitors have stronger presence** ## Competitive Strategies ### Closing Visibility Gaps When competitors appear and you don't: 1. Analyze what content or signals drive their mentions 2. Review their website and content strategy 3. Use the [AEO Agent](/ai-agents/aeo-agent) for improvement recommendations 4. Create or optimize content for those topics ### Defending Strong Positions When you're ahead of competitors: 1. Continue reinforcing your authority on those topics 2. Monitor for competitors gaining ground 3. Maintain fresh, authoritative content ### Tracking New Entrants As you discover new competitors in your results: 1. Add them to your tracking list 2. Review their historical appearance in your prompts 3. Monitor their trajectory ## Best Practices ### Choose Competitors Strategically Focus on competitors that: * Directly compete for the same customers * Appear frequently in AI responses * Represent your target market position ### Review Regularly Monthly competitor review: 1. Check if tracked competitors are still relevant 2. Look for new competitors appearing in results 3. Adjust your list based on market changes ### Use Competitive Insights Turn competitor data into action: * If a competitor consistently ranks higher, study their content strategy * If you're winning, understand what's driving that success * Share competitive intelligence with your marketing team ## # Knowledge Base Source: https://docs.chatfeatured.com/using-chatfeatured/knowledge-base Give AI agents context about your brand for better content generation The Knowledge Base stores information about your company, products, and brand that AI agents use when generating content. The more context you provide, the more accurate and on-brand the generated content becomes. ## Primary Use Case: Content Generation The biggest benefit of the Knowledge Base is improving content generation. When the Content Agent or Writing Agent creates articles, it pulls from your Knowledge Base to: * **Write in your brand voice** - Match your tone, terminology, and messaging * **Include accurate details** - Reference correct product features, pricing, and capabilities * **Address your audience** - Tailor content to your specific customer profiles * **Highlight differentiators** - Emphasize what makes you unique ### Associating Knowledge with Articles You can link specific Knowledge Base entries to individual articles: 1. When creating or editing an article, select **Knowledge Base** items to include 2. The selected items provide focused context for that specific article 3. The agent uses this context when generating or refining content (you can @ specific documents or folders you have uploaded when generating content with the agent) This is especially useful for product-specific content where you want the agent to reference particular features or positioning. ### Using Knowledge in Chat When chatting with agents during article editing: * Reference Knowledge Base content in your prompts * Ask the agent to incorporate specific information * The agent can pull relevant context to answer your questions ## What to Include Focus on information that helps agents generate better content: ### Company Overview * **Company description** - What you do and who you serve * **Mission and values** - Your brand's purpose and positioning ### Products and Services * **Product descriptions** - What each product does * **Key features** - Differentiating capabilities * **Use cases** - How customers use your offerings * **Pricing overview** - Tiers and positioning (value, premium, etc.) ### Target Audience * **Customer profiles** - Who buys your products * **Industries served** - Verticals you focus on * **Pain points** - Problems you solve ### Competitive Positioning * **Key differentiators** - What makes you unique * **Competitive advantages** - Where you excel vs alternatives * **Win/loss insights** - Why customers choose you ### Brand Voice * **Tone of voice** - How you communicate (professional, casual, technical) * **Key messages** - Core talking points to emphasize * **Terminology** - Preferred terms and phrases to use ## Adding Content ### Text Entries 1. Go to **Knowledge Base** in the sidebar 2. Click **Add Entry** 3. Choose a category 4. Enter your content 5. Click **Save** ### Import from URL Pull content from existing pages: 1. Click **Import from URL** 2. Enter a URL (about page, product page, documentation) 3. Content is extracted and added 4. Review and edit as needed ### File Upload Upload existing documents: 1. Click **Upload File** 2. Select a document (PDF, DOCX, TXT) 3. Content is extracted and categorized Start by importing your About page and main product pages. This gives agents solid foundational context quickly. ## How Agents Use Knowledge ### Content Agent Uses your Knowledge Base to: * Generate article outlines based on your products * Write content in your brand voice * Include accurate product details and positioning ### AEO Agent Uses your Knowledge Base to: * Tailor optimization recommendations to your specific situation * Suggest content topics aligned with your offerings * Provide relevant competitive context ### Example **Without Knowledge Base:** > "Create an article about CRM features." **With Knowledge Base:** > "Create an article about CRM features for growing sales teams, emphasizing our quick onboarding process and affordable pricing that resonates with mid-market companies." ## Keeping Knowledge Current Update your Knowledge Base when: * Products or features change * Pricing or positioning updates * New competitive intelligence emerges * Brand messaging evolves Outdated information can lead to inaccurate content. Review your Knowledge Base periodically and remove old product info or positioning that no longer applies. ## Best Practices 1. **Start with fundamentals** - Company description, main products, target audience 2. **Add brand voice guidelines** - Help agents match your communication style 3. **Include differentiators** - What makes you unique should come through in content 4. **Link relevant items to articles** - Use specific context for specific content 5. **Update regularly** - Keep information accurate as your business evolves # Prompts Source: https://docs.chatfeatured.com/using-chatfeatured/prompts Manage, organize, and execute tracked search prompts across 7 AI answer engines to measure brand visibility, competitor citations, and sentiment. Prompts are the **foundational measurement units** of ChatFeatured. They represent the exact conversational questions, product comparisons, and discovery queries real users submit to AI answer engines. By executing prompts on a scheduled cadence across multiple AI platforms, ChatFeatured monitors: * **Brand Visibility (%):** Whether your brand is recommended or cited in the answer. * **Competitor Mentions:** Which competing brands appear alongside or in place of yours. * **Citation Sources:** What external URLs and domains the AI relied upon to build its answer. * **Brand Sentiment:** How favorably your brand is portrayed (on a 1–100 scale). *** ## Adding Prompts You can populate prompts through four methods: Ask the [AEO Agent](getting-started/how-to-aeo-agent) to research and add prompts conversationally: * *"Let's work on my prompt strategy. Review the prompts you're currently tracking for my brand, do a keyword research to figure out the questions my customers actually ask AI assistants, and suggest a comprehensive prompt tracking strategy by tag — so I get the clearest picture of my AI search visibility."* * *"Analyze our competitor Trysight and suggest 10 commercial-intent comparison prompts we're missing."* * *"Find 5 high-intent buyer queries for our new enterprise compliance feature and add them to our tracking list."* ChatFeatured generates prompt recommendations automatically using your [Brand Book](/using-chatfeatured/brand-book) categories, competitor offerings, and customer search intent: 1. Navigate to **Prompts** in the sidebar. 2. Click **Suggested Prompts** at the top of the table. 3. Review the discovered prompt suggestions grouped by product category. 4. Select the prompts you want to track and click **Add Selected**. Add specific brand or high-intent queries manually: 1. Go to **Prompts** and click **Add Prompt**. 2. Enter the full natural language query (e.g., *"What are the top enterprise AEO platforms in 2026?"*). 3. Select your target **Country** for geographic localization. 4. Attach optional **Tags** for reporting and categorization. 5. Click **Save**. Add large query clusters at once: 1. Click **Bulk Add** in the prompts interface. 2. Paste your list of queries (one prompt per line). 3. Select the default country and tags to apply across the batch. 4. Click **Import Prompts**. ## Writing Effective Prompts for AEO Prompts should accurately reflect how prospective buyers interact with conversational search assistants: Avoid keyword stuffing or traditional Boolean SEO operators. Write full questions and scenarios. * **Effective:** *"What is the best automated customer support software for Shopify stores?"* * **Avoid:** *"best customer support software shopify list"* Buyers frequently ask AI engines to evaluate market alternatives. * **Effective:** *"Compare Slack vs Teams for mid-market engineering teams."* * **Effective:** *"What are the top open-source alternatives to Datadog?"* Incorporate real constraints like company size, industry vertical, and compliance requirements. * **Effective:** *"Which SOC2-compliant CRM is best for a 50-person fintech startup?"* * **Avoid:** *"Best CRM software"* * **Awareness / Informational:** *"How do modern marketing teams track AI search visibility?"* * **Consideration / Commercial:** *"What are the top Answer Engine Optimization tools in 2026?"* * **Decision / Transactional:** *"ChatFeatured vs Peec AI: feature breakdown and pricing comparison."* *** ## Prompt Execution & Cadence All active prompts run automatically once per day across all AI models included in your plan, building longitudinal visibility, sentiment, and citation trends over time. *** ## Understanding Run Results Clicking on any prompt in [Data Analytics](/using-chatfeatured/analytics) opens its detailed Run Results view: | Field | Description | | :------------------------ | :----------------------------------------------------------------------------------------------- | | **Response** | The exact, raw markdown answer generated by the AI answer engine. | | **Brand Mentioned** | Boolean indicator (`Yes` / `No`) showing whether your brand was identified in the response text. | | **Competitors Mentioned** | List of tracked competitors identified in the response. | | **Cited Sources & URLs** | The exact web links, articles, and domains cited as reference footnotes by the AI model. | | **Sentiment Score** | Algorithmic sentiment rating scored from 1 (negative) to 100 (highly positive/authoritative). | | **Brand Found in Source** | Flag indicating whether your brand was actually named inside the cited third-party source URL. | **Turn Gaps into Content:** If a prompt shows high competitor visibility and zero mentions for your brand, go to the **Articles** tab and click **"Add Article"** create an article based on that prompt to target the queries and sources AI engines cite. *** ## Managing Prompt Status & Lifecycle You can control prompt execution states from the prompts table: * **Active:** The prompt runs daily across all 7 AI answer engines and updates your analytics widgets. * **Inactive (Paused):** Daily execution is stopped. **All historical visibility data, sentiment scores, and past citations are preserved.** Use this to pause seasonal queries or control run quotas without losing history. * **Delete:** Permanently removes the prompt and **purges all historical run logs, sentiment trends, and citation data**. **Avoid Accidental Deletion:** Deleting a prompt cannot be undone and removes historical data from your overall visibility charts. Always set a prompt to **Inactive** if you may need historical data later. *** ## Organizing with Tags Tags allow you to segment and filter your prompt library across reports, dashboards, and automated workflows. ### Common Tagging Strategies * `discovery` — *"What are the best tools for X?"* * `comparison` — *"Tool A vs Tool B"* * `alternatives` — *"Alternatives to Tool C"* * `troubleshooting` — *"How to fix issue Y"* * `enterprise` — Enterprise-tier capabilities and security queries. * `self-serve` — Starter plan and SMB queries. * `integrations` — Prompts related to specific third-party connectors (e.g., Shopify, WordPress, Cloudflare). * `top-funnel` — Educational and broad category questions. * `mid-funnel` — Feature comparison and evaluation criteria. * `bottom-funnel` — Vendor selection, pricing, and migration queries. `us-market` — US-specific buyer queries and compliance rules. `uk-europe` — UK and EU localized questions (e.g., GDPR, VAT, localized pricing). `apac` — Asia-Pacific regional prompts and regional competitor comparisons. `latam` — Spanish/Portuguese language and Latin American market queries. You can even hone in on specific sub-regions like `east-usa`, states like `new-jersey`, or get as granular as individual cities and specific neighborhoods (e.g., `hoboken` or `williamsburg`) for hyper-localized AI search tracking. **Analytics Filtering:** In the [Analytics Dashboard](/using-chatfeatured/analytics), you can filter your entire visibility report by specific tags to evaluate which product line or search intent category has the highest AI citation share. *** ## Geographic Targeting AI models tailor their recommendations based on geographic IP location. ChatFeatured supports multi-region execution: 1. When adding or editing a prompt, select one or more target countries (e.g., `United States`, `United Kingdom`, `Germany`, `Canada`). 2. ChatFeatured runs localized queries through regional nodes. 3. In [Analytics](/using-chatfeatured/analytics), use the **Country** filter to compare how your AI visibility fluctuates across global markets. *** ## Related Guides Analyze brand visibility, sentiment trends, and cited source URLs across prompt runs. Configure your company categories and personas to improve automated prompt suggestions. Generate articles designed to capture visibility on underperforming prompt clusters. Use conversational commands to discover prompt gaps and manage your prompt inventory. # Site Audit & AEO Health Source: https://docs.chatfeatured.com/using-chatfeatured/site-audit Learn how ChatFeatured analyzes your website's readiness for AI search engines like ChatGPT, Claude, and Perplexity, and how to fix issues in one click. The **Site Audit** checks how easily AI answer engines (like ChatGPT, Claude, Perplexity, and Google AI Overviews) can read, understand, and recommend your website. While traditional SEO audits check if Googlebot can index your pages, an **Answer Engine Optimization (AEO) Audit** makes sure AI bots can extract clear facts, verify your company details, and cite you as a trusted source. *** ## Why AEO Auditing Matters for Your Brand When a potential customer asks an AI model *"What is the best software for \[your industry]?"*, the AI scans the web for authoritative, well-structured pages. If your website has technical roadblocks, missing information, or confusing formatting, AI models will cite your competitors instead. Make sure your website isn't accidentally blocking bots from ChatGPT (`GPTBot`), Claude (`ClaudeBot`), or Perplexity (`PerplexityBot`). Format your headlines and definitions so AI models can easily quote your answers in conversational search. Provide structured code that explicitly tells AI models who you are, what you sell, and your exact pricing. Ensure secure HTTPS connections and digital safety headers that establish domain credibility. *** ## How the Audit Works: 2 Simple Steps ChatFeatured breaks site audits into two simple phases: 1. **Domain Mapping (Discovery):** ChatFeatured scans your website to find all your active pages and sitemaps. 2. **Page Auditing (Scoring):** Each page is audited and scored from **0 to 100%** across three core pillars: **AEO**, **Content**, and **Technical**. **Auditing Subdomains:** Audits are scoped to your exact domain. If your blog or help center runs on a separate subdomain (such as `blog.yourbrand.com` or `help.yourbrand.com`), simply add it as a separate domain in ChatFeatured to audit it. *** ## Understanding Page Statuses When viewing your pages in the Site Audit tab, each URL shows one of these statuses: | Status | What it Means in Plain English | What You Should Do | | :--------------------- | :--------------------------------------------------------------------------- | :-------------------------------------------------------------------- | | **Completed** | The page was successfully audited and scored. | Click into the page to review open recommendations. | | **Not Audited** | The page was discovered on your site, but has not been analyzed yet. | Click **Audit** on the page (or run a bulk audit) to generate scores. | | **Auditing / Pending** | The page is currently being analyzed by our engine. | Takes about 5 to 15 seconds to complete. | | **Failed** | The crawler could not reach the page (e.g. a broken link or server timeout). | Check if the URL works in your browser, then click retry. | **"Not Audited" is not an error!** It simply means that page is waiting for you to run an audit on it. Only **Failed** indicates that our system couldn't load the URL. *** ## The 3 Audit Pillars Every audited page receives an overall **AEO Health Score** (0–100%) and individual scores across three categories: **How easily AI models can quote and cite this page.** * **Direct Answers:** Does the page provide clear, quick answers directly below major headings? * **Outline & Heading Structure:** Are `H1`, `H2`, and `H3` headings arranged logically? * **AI Schema (JSON-LD):** Is there structured machine-readable code for FAQs, Articles, and Products? * **Citations & Author Credibility:** Does the page show author bylines and references to reputable sources? * **AI Crawler Permissions:** Are AI bots permitted to extract summary snippets? **The clarity, metadata, and substance of your writing.** * **Page Title:** Does the page have a clear, descriptive headline tag? * **Meta Description:** Is there a compelling summary for search result snippets? * **Social Sharing Tags (Open Graph):** Are title, description, and preview images configured for social links? * **Canonical URL:** Is the official URL specified to prevent duplicate content confusion? * **Content Depth:** Does the page have enough detailed information (avoiding thin pages under 300 words)? **The security, reliability, and speed of your website.** * **HTTPS Security:** Do unencrypted `http://` links automatically forward to secure `https://`? * **Security Headers:** Are digital security instructions active to protect visitors? * **Mixed Content:** Are all images and scripts loading securely over HTTPS? * **Broken Links:** Are all internal links working without 404 "Page Not Found" errors? *** ## Technical Audit Checks Explained in Simple Terms Here is a straightforward guide to the technical checks surfaced in your audit, why they matter, and how they work: * **What it is:** A simple text file on your website (`yourbrand.com/robots.txt`) that acts like a sign on your front door telling web crawlers which rooms they are allowed to enter. * **Why it matters:** If your `robots.txt` accidentally blocks AI crawlers like `GPTBot` (ChatGPT), `ClaudeBot` (Claude), or `PerplexityBot`, these engines cannot read your website. If they cannot read your website, they cannot recommend your brand. * **The Fix:** Ensure your `robots.txt` explicitly allows major AI bots to crawl your public pages. * **What it is:** A hidden setting on an individual webpage that tells crawlers whether they can index that specific page. * **Why it matters:** If a page accidentally has a `noindex` or `nosnippet` tag, AI models are forbidden from showing summaries or quotes from that page. * **The Fix:** Set public pages to `index, follow, max-snippet:-1` so AI models can quote helpful excerpts. * **What it is:** A clean, lightweight text file (`yourbrand.com/llms.txt`) designed specifically for Large Language Models. * **Why it matters:** Normal websites are full of menus, popups, and visual code. An `/llms.txt` file gives AI models a clean table of contents with direct markdown links to your most important company info, pricing, and guides. * **The Fix:** Generate an `/llms.txt` file with direct links to your top product and documentation pages. * **What it is:** A snippet of background code that translates your page into structured data that AI models understand instantly. * **Why it matters:** Instead of guessing who wrote an article or what a product costs, AI models read your `FAQPage`, `Article`, or `Product` schema to extract exact answers with 100% confidence. * **The Fix:** Add standard JSON-LD schema blocks to your articles, FAQs, and product pages. * **What they are:** Invisible security rules your server sends to browsers and crawlers to prove the site is safe and authentic. * **Why it matters:** AI models favor reputable, secure websites. Having basic security headers (like HSTS and clickjacking protection) proves your domain is well-maintained and trustworthy. * **The Fix:** Enable standard security headers in your hosting provider or CDN (such as Cloudflare). * **What it is:** Ensuring all visitors and crawlers use secure `https://` connections, and that no images or scripts load over insecure `http://`. * **Why it matters:** Insecure assets trigger warnings and can cause AI parsers to fail when loading your content. * **The Fix:** Enable "Always Use HTTPS" in your domain settings and ensure all image links start with `https://`. * **What it is:** Links on your website that lead to pages that no longer exist (404 errors). * **Why it matters:** When an AI crawler follows a link to verify a claim and hits a dead end, it reduces trust in your content. * **The Fix:** Update or remove the broken link, or redirect it to an active page. *** ## How to Fix Issues in 1 Click ("Fix with AI") You don't need to be a developer or SEO expert to resolve audit issues. ChatFeatured's conversational AI agent can write the exact fixes for you: Click on any page in your Site Audit list that shows open warnings or errors. The AI Agent reviews the page's current content and automatically generates the exact solution: * **Ready-to-use JSON-LD schema code** for your header. * **Rewritten direct-answer paragraphs** that answer customer questions clearly. * **Optimized meta titles and descriptions** incorporating high-intent keywords. Copy the generated text or code into your website builder (Shopify, WordPress, Webflow, Ghost, etc.) and click **Re-audit Page** to see your score jump to 100%. *** ## Managing Fixes with Tasks & Automations Turn any audit issue into a trackable task with one click. Assign it to a team member or let the AI agent resolve it later. Set up the **Weekly Site Audit Review** automation. ChatFeatured will automatically re-crawl your site every week, check for new issues, and email your team a health report. *** ## Related Guides See live logs of ChatGPT, Claude, and Perplexity bots crawling your site. Track, organize, and complete your website optimization tasks. Connect Google Search Console to monitor traditional search indexing. Configure company descriptions so AI models describe your brand accurately. # Organizing with Tags Source: https://docs.chatfeatured.com/using-chatfeatured/tags Categorize prompts for better filtering and analysis Tags let you organize prompts into categories, making it easy to filter your prompt library and analyze AI visibility performance by grouping. ## Why Use Tags? As your prompt library grows, tags help you: * **Filter prompts** - Quickly find and manage specific groups * **Analyze by category** - View mention rates and trends for tagged prompts * **Compare performance** - See which categories have strong or weak visibility * **Report on segments** - Generate insights for specific topics or intents ## Creating Tags 1. Navigate to **Tags** in the sidebar 2. Click **Add Tag** 3. Enter a name and optionally choose a color 4. Click **Save** ## Tagging Strategies Choose a tagging approach that matches how you want to analyze your visibility: ### By Search Intent Categorize prompts by the type of question being asked: | Tag | Use For | | ---------------- | ----------------------------------- | | Discovery | "Best X", "Top Y for Z" | | Comparison | "X vs Y", "Difference between" | | Problem/Solution | "How to fix X", "Why does X happen" | | Alternatives | "Alternatives to X", "Instead of X" | | Buying Decision | "Affordable X", "Where to buy X" | | Feature Specific | "X with Y feature", "X that does Y" | ### By Product or Service Group prompts by what they relate to: * Product - CRM * Product - Analytics * Product - API ### By Funnel Stage Organize by where customers are in their journey: * Awareness * Consideration * Decision ### By Topic Group by subject matter: * Pricing * Features * Reviews * How-to ## Applying Tags to Prompts **When creating prompts:** Select tags from the dropdown in the prompt creation dialog. **Bulk tagging:** Select multiple prompts, click **Bulk Actions**, choose **Add Tags**, and select tags to apply. **Editing existing prompts:** Click on a prompt, modify the tags field, and save. ## Using Tags for Analysis ### Filter by Tag In the Prompts view or Analytics, use the tag filter to show only prompts with specific tags. This lets you see performance metrics for just that category. ### Compare Tag Performance See how different prompt categories perform: | Tag | Mention Rate | | ------------ | ------------ | | Discovery | 52% | | Comparison | 68% | | Alternatives | 41% | This helps you identify which types of queries you're winning and where to focus optimization efforts. ## Best Practices Begin with 5-10 tags based on one or two dimensions (e.g., intent + product). Add more as needed. Pick a format and stick with it. For example: "Intent - Discovery" or just "Discovery". Remove unused tags and consolidate similar ones. Too many tags become hard to manage. Tags are shared across your organization, so all team members see the same tags and can filter by them. # Tasks & Opportunity Management Source: https://docs.chatfeatured.com/using-chatfeatured/tasks Turn AI search visibility gaps, competitor citations, and technical audit issues into actionable execution workflows. ChatFeatured's **Tasks** system bridges the gap between AI visibility insights and practical execution. Instead of wading through raw analytics, the platform continuously analyzes your citation share, competitor mentions, crawler logs, and technical health to generate prioritized, actionable tasks. Review ephemeral opportunities before committing them to your official task board. Instruct your Unified AI Agent to create, assign, complete, or dismiss tasks in plain English. Structured playbooks for Content, Earned Media (PR), UGC, Sentiment, and Site Audits. Convert content gap tasks directly into research-backed, published articles with one click. *** ## The Two-Stage Opportunity Pipeline ChatFeatured separates **insight discovery** from **task execution** to prevent workspace clutter: As ChatFeatured tracks your prompts and crawls your site, it identifies high-impact opportunities. The AI Agent surfaces these cards directly into the **Opportunities Panel** during chat sessions or scheduled automations. **Surfacing is not adding:** Surfaced opportunities are ephemeral review cards. They do not clutter your task board or consume pipeline capacity until you approve them. Once you or your team review an opportunity, commit it to the **Tasks Page** by clicking **Add to Tasks** or telling the agent: *"Add that opportunity to my task list."* Execute the task using ChatFeatured's integrated toolset (e.g., drafting an article, outreach to cited journalists, implementing schema). Once executed, ChatFeatured monitors subsequent AI prompt runs to measure visibility lift. *** ## Opportunity & Task Categories Every task in ChatFeatured belongs to one of five strategic Answer Engine Optimization (AEO) categories: **Objective:** Resolve technical and structural barriers preventing AI crawlers from indexing and understanding your content. * **Data Source:** Technical Site Audit crawler + Edge Crawler Log Analytics (Cloudflare/Vercel). * **Example Task:** *"Add missing JSON-LD Organization schema and configure llms.txt index file."* * **Integrated Action:** Direct code snippet generation and automated re-audit verification. **Objective:** Capture search queries where competitors are cited but your brand has low or zero visibility. * **Data Source:** Tracked Prompt Runs + Google Ads Search Volume + Competitor Citation Gaps. * **Example Task:** *"Create Comprehensive Buyer's Guide for Enterprise AEO Platforms."* * **Integrated Action:** Click **Generate Article** to move the task directly into the content drafting workflow. **Objective:** Secure brand mentions and links in authoritative third-party publications that AI search engines use as citation sources. * **Data Source:** Citation Frequency across ChatGPT, Claude, Gemini, and Perplexity. * **Example Task:** *"Pitch ChatFeatured CEO for inclusion in TechCrunch's generative search round-up."* * **Integrated Action:** Export source URLs and journalist/outlet attribution data for PR outreach campaigns. **Objective:** Establish brand presence in user-generated discussions frequently cited by conversational AI models. * **Data Source:** Cites from Reddit (`r/marketing`, `r/seo`), Quora, Stack Overflow, and niche forums. * **Example Task:** *"Contribute expert answer to top-cited Reddit thread on AI bot blocking."* * **Integrated Action:** Direct deep-link to the exact thread cited in AI model responses. **Objective:** Address negative sentiment signals or missing presence on third-party review platforms. * **Data Source:** Model sentiment scoring (1–100) and review source citations (G2, Trustpilot, BBB, Capterra). * **Example Task:** *"Acquire 5 verified G2 reviews focusing on ease of integration to address low Gemini sentiment."* * **Integrated Action:** Benchmark sentiment score changes over 30-day rolling windows. *** ## Task Settings & Routing To streamline your team's workflow, you can configure automated assignment rules and email alert routing directly in **Task Settings**. Choose which team member is automatically assigned to newly created tasks generated by the AI agent, automations, or site audits. Select which team members receive an immediate email notification whenever a new task is created in the project. **Project-Scoped Settings:** Task assignment and email alert preferences apply **to this project only**. If you manage multiple brands or client workspaces within ChatFeatured, each project maintains its own independent routing rules. ### How to Configure Task Settings 1. Navigate to **Tasks** in the primary navigation. 2. Click the **Task** **Settings (⚙️)** icon in the top right corner of the Tasks board. 3. Under **Default Assignee**, select a team member from your project members list. 4. Under **Email Alerts**, toggle on the team members who should receive notifications when new tasks are added. 5. Click **Save Settings**. *** ## Managing Tasks via the AI Agent You can manage your entire task backlog without clicking through menus by switching to `tasks` mode or prompting the Unified Agent directly. *"I like the earned media recommendation for Forbes. Add it to my tasks with high priority."* *"What high-priority content tasks are currently in progress for this sprint?"* *"Mark the task 'Publish llms.txt guide' as completed and check if our citations moved."* *"Dismiss all low-priority UGC tasks related to Quora."* The agent retains memory of your team's task actions. It will never re-surface an opportunity you previously dismissed or completed unless new competitive data warrants a re-evaluation. *** ## Tasks vs. Automations (`agent-tasks`) It is important to understand the distinction between one-off **Tasks** and recurring **Automations**: | Feature | Tasks (`/tasks`) | Automations (`/agent-tasks`) | | :------------ | :----------------------------------------------------------------------------- | :-------------------------------------------------------------------------------- | | **Purpose** | Discrete, actionable work items requiring completion or tracking. | Recurring, autonomous background agent workflows. | | **Trigger** | Created manually or approved from surfaced opportunities. | Scheduled on a cron cadence (daily, weekly, monthly). | | **Examples** | *"Publish comparison article"*, *"Fix broken redirect on /pricing"*. | *"Daily AEO Content Generation"*, *"Weekly Competitor Audit Report"*. | | **Lifecycle** | `Pending` $\rightarrow$ `In Progress` $\rightarrow$ `Completed` / `Dismissed`. | Active schedule $\rightarrow$ Executes background job $\rightarrow$ Sends digest. | *** ## Task Lifecycle & Statuses * **Surfaced:** Ephemeral card in the Opportunities Panel. Requires user confirmation to persist. * **To Do (Pending):** Formally added to the workspace backlog. Prioritized as `High`, `Medium`, or `Low`. * **In Progress:** Currently being drafted, executed, or developed. * **Completed:** Implementation finished. The platform tracks post-completion visibility and citation impact. * **Dismissed:** Archived out of view. Preserved in history to prevent the agent from re-suggesting it. *** ## Frequently Asked Questions No. Surfacing displays an insight in the Opportunities panel for review. It only becomes a formal task with assignees, due dates, and priorities when explicitly approved. Yes, for supported workflows. For example, approving a **Content Opportunity** can automatically trigger background research, drafting, and queueing in the Content pipeline. Technical audit fixes can generate ready-to-deploy code snippets. Open **Tasks** $\rightarrow$ **Settings (⚙️)** and update the **Email Alerts** recipient list. Remember that this configuration is project-specific and will not affect other workspace projects. When a recurring Automation (configured under **Automations / agent-tasks**) discovers actionable items, it surfaces them in your daily/weekly digest email and logs them to the Opportunities panel for review. Completed tasks remain in your task history for attribution. ChatFeatured's analytics engine correlates completion dates with historical visibility and citation trendlines so you can measure ROI.