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aeo-analytics-free

Track AI visibility — measure whether a brand is mentioned and cited by AI assistants (Gemini, ChatGPT, Perplexity) for target prompts. Runs scans, tracks mention/citation rates over time, detects trends, and identifies opportunities. Uses Gemini API free tier (with grounding) as primary method, web search as fallback. Use when a user wants to: check if AI models mention their brand, track AI citation changes over time, measure AEO content effectiveness, monitor competitor AI visibility, or audit their brand's presence in AI-generated answers. Pairs with aeo-prompt-research-free (identifies prompts) and aeo-content-free (creates/refreshes content). This skill closes the loop by measuring results.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/psyduckler/aeo-analytics-free
Or

AEO Analytics (Free)

Source: github.com/psyduckler/aeo-skills Part of: AEO Skills SuitePrompt ResearchContent → Analytics

Track whether AI assistants mention and cite your brand — and how that changes over time.

Requirements

  • Primary: Gemini API key (free from aistudio.google.com) — enables grounding with source data
  • Fallback: web_search only — weaker signal but zero API keys needed
  • web_fetch — optional, for deeper analysis of cited pages

Input

  • Domain (required) — the brand's website (e.g., tabiji.ai)
  • Brand names (required) — names to search for in responses (e.g., ["tabiji", "tabiji.ai"])
  • Prompts (required for first scan) — list of target prompts to track. Can come from aeo-prompt-research-free output.
  • Data file path (optional) — where to store scan history. Default: aeo-analytics/<domain>.json

Commands

The skill supports three commands:

scan — Run a new visibility scan

Execute all tracked prompts against the AI model and record results.

report — Generate a visibility report

Analyze accumulated scan data and produce a formatted report.

add-prompts / remove-prompts — Manage tracked prompts

Add or remove prompts from the tracking list.


Scan Workflow

Step 1: Load or Initialize Data

Check if a data file exists for this domain. If yes, load it. If no, create a new one. See references/data-schema.md for the full JSON schema.

Step 2: Run Prompts

For each tracked prompt:

Method A — Gemini API with grounding (preferred): See references/gemini-grounding.md for API details.

  1. Send prompt to Gemini API with googleSearch tool enabled

  2. From the response, extract:

    • Response text — the AI's answer
    • Grounding chunks — the web sources cited (URLs + titles)
    • Web search queries — what the AI searched for
  3. Analyze the response:

    • Mentioned? — Search response text for brand names (case-insensitive, word-boundary match)
    • Mention excerpt — Extract the sentence(s) containing the brand name
    • Cited? — Check if brand's domain appears in any grounding chunk URI
    • Cited URLs — List the specific brand URLs cited
    • Sentiment — Classify the mention context as positive/neutral/negative
    • Competitors — Extract other brand names and domains from response + citations

Method B — Web search fallback (if no Gemini API key):

  1. web_search the exact prompt text
  2. Check if brand's domain appears in search results
  3. Record as "web-proxy" method (less direct than grounding)

Step 3: Save Results

Append the scan results to the data file. Never overwrite previous scans — history is the whole point.

Metadata

Stars1171
Views0
Updated2026-02-19
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-psyduckler-aeo-analytics-free": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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