home / skills / openclaw / skills / aeo-prompt-research-free
This skill uncovers free, high-potential AEO prompts by crawling a site, analyzing positioning, and prioritizing content opportunities for AI visibility.
npx playbooks add skill openclaw/skills --skill aeo-prompt-research-freeReview the files below or copy the command above to add this skill to your agents.
---
name: aeo-prompt-research-free
description: >
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.
---
# AEO Prompt Research (Free)
> **Source:** [github.com/psyduckler/aeo-skills](https://github.com/psyduckler/aeo-skills/tree/main/aeo-prompt-research-free)
> **Part of:** [AEO Skills Suite](https://github.com/psyduckler/aeo-skills) — Prompt Research → [Content](https://github.com/psyduckler/aeo-skills/tree/main/aeo-content-free) → [Analytics](https://github.com/psyduckler/aeo-skills/tree/main/aeo-analytics-free)
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
For Tier 1 prompts, use `web_search` with `site:domain.com [topic keywords]` to check if content already exists.
Rate coverage:
- **Strong** — Dedicated page directly answers the prompt
- **Partial** — Related content exists but doesn't fully address it
- **None** — No relevant content found
### Step 6: Deliver Results
Output a structured report with:
1. Brand summary (2-3 sentences)
2. Prioritized prompt list with scores and coverage status
3. Content gap analysis (high-priority prompts with no coverage)
4. Top 5 recommended content pieces to create first
Use the output format from `references/aeo-methodology.md`.
## Tips for Better Results
- If `web_search` is unavailable, the skill still works — just skip the coverage audit or have the user manually check
- For competitor analysis, crawl competitor sites too and compare topic coverage
- Re-run quarterly — AI prompt trends shift as models and user behavior evolve
- The agent's own knowledge of the industry is a valid research input — use it
This skill finds which AI prompts and topics matter for a brand's Answer Engine Optimization (AEO) using only free tools. It crawls a website, analyzes positioning, generates prioritized prompts people ask AI assistants, and audits existing content coverage — all without paid APIs or external keys.
The agent crawls key pages on the target domain to extract product offering, audience, value props, and blog themes. It then brainstorms topic categories, generates natural-language prompts for each category, scores and prioritizes those prompts, and (when available) runs site-limited searches to audit existing coverage. Final output is a ranked prompt list, coverage status, gap analysis, and content recommendations.
Do I need any API keys or paid services to run this?
No. It uses web_fetch, free web_search where available, and the agent's LLM reasoning; no paid APIs are required.
What if web_search isn’t available?
The skill still generates and prioritizes prompts from the site crawl and agent knowledge; coverage audits can be skipped or performed manually.