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aeo-prompt-research-free

Discover which AI prompts and topics matter for a brand's Answer Engine Optimization (AEO) using only free tools. Crawls a website, analyzes the brand's positioning, generates prioritized prompts people ask AI assistants, and audits existing content coverage — all without paid APIs. Use when a user wants to: find what questions people ask AI about their industry, discover AEO opportunities, research prompts for content creation, audit a site's AI visibility, or build an AEO content strategy. No API keys required — uses web_fetch, web_search (free tier), and LLM reasoning only.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/psyduckler/aeo-prompt-research-free
Or

AEO Prompt Research (Free)

Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite — Prompt Research → ContentAnalytics

Discover which prompts and topics matter for a brand's AI visibility — using zero paid APIs.

Requirements

  • web_fetch — crawl the target site
  • web_search — Brave Search free tier (optional but recommended)
  • LLM reasoning — the agent's own model does the heavy lifting

No API keys, no paid tools, no accounts needed.

Workflow

Input

The user provides:

  • Domain URL (required) — e.g. clearscope.io
  • Niche/category (optional) — e.g. "SEO software for content teams"
  • Competitors (optional) — e.g. "Surfer SEO, MarketMuse, Frase"

Step 1: Crawl the Site

Use web_fetch on key pages to understand the brand:

Pages to fetch (try each, skip 404s):
- / (homepage)
- /about or /about-us
- /pricing
- /products or /features or /services
- /blog (index only)

Alternatively, run scripts/crawl_site.sh <domain> for a batch crawl.

Extract from crawled content:

  • Core product/service offering
  • Target audience (industry, company size, persona)
  • Key differentiators / value props
  • Competitor mentions
  • Content themes from blog titles

Step 2: Discover the Topic Universe

Using the brand understanding, brainstorm topic categories. For methodology and category types, read references/aeo-methodology.md.

Core prompt categories to generate:

  1. Problem-aware — "How do I solve [problem]?"
  2. Solution-aware — "What tools exist for [category]?"
  3. Comparison — "[Brand] vs [competitor]"
  4. Best-of — "Best [category] for [use case]"
  5. How-to — "How to [task the product helps with]"
  6. Evaluation — "Is [brand] good for [need]?"
  7. Industry — "[Industry] trends / best practices"

Step 3: Generate Prompts

For each category, generate 5-15 specific prompts people would actually ask an AI assistant.

Guidelines:

  • Write naturally — how people talk to ChatGPT, not how they Google
  • Be specific — include context (company size, industry, use case)
  • Vary intent — research, comparison, how-to, buying decision
  • Avoid jargon-heavy or unrealistic prompts

Step 4: Prioritize

Score each prompt (1-5) on:

  • Relevance — How closely tied to the brand's core offering?
  • Volume potential — How many people likely ask this?
  • Winability — Can this brand realistically be the best answer?
  • Intent value — Does this indicate buying/conversion intent?

Formula: Priority = (Relevance × 2 + Volume + Winability + Intent) / 5

Sort into Tier 1 (≥3.5), Tier 2 (2.5-3.4), Tier 3 (<2.5).

Step 5: Audit Existing Coverage

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-prompt-research-free": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.

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