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psyducklerpsyduckler/aeo-skills/aeo-pack-ai-tools/SKILL.md

aeo-pack-ai-tools

Skill13 starsChanged 6 months agoMITView on GitHub

Curated prompt pack for AI tool brands tracking their visibility in AI answer engines. 17 prompts covering AI-task discovery, alternatives to incumbents (ChatGPT, Claude, etc.), free-vs-paid framing, accuracy claims, privacy positioning, and vertical use cases. Variables (task, competitor, use_case, domain) fill per workspace. Use when a user is tracking visibility for an AI product, building an AEO baseline for AI-tool category, or asks for prompt ideas for an AI startup.

The file

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    If your tool is a Gemini-based product, expect Gemini to be measurably more generous about citing pages that mention Gemini directly.

    line 57

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Files
SKILL.md

AEO Pack: AI Tools

Source: github.com/psyduckler/aeo-skills Part of: AEO Skills Suite (v2 prompt packs) Schema: prompt-pack-v1

17 ready-to-track prompts for AI-tool visibility. The AI-tool space has its own retrieval patterns — buyers compare against incumbents (ChatGPT, Claude, Gemini), worry about hallucination, and care about pricing/privacy more than typical B2B SaaS.

Template variables

VariableRequiredExample
taskyescontent writing, code generation, image editing, customer support, legal research
competitornoChatGPT, Claude, Midjourney, GitHub Copilot
use_casenolong-form blog posts, unit test generation, legal contract review
domainnolegal, medical, finance, education

How to use this pack

npx skills add psyduckler/aeo-skills --skill aeo-pack-ai-tools

Then fill in variables and merge into your aeo.config.json. Example for a content-writing AI tool competing with ChatGPT:

TemplateFilled
Best AI tools for {{task}}Best AI tools for content writing
{{competitor}} alternatives for {{task}}ChatGPT alternatives for content writing
Most accurate AI {{task}} toolMost accurate AI content writing tool
AI {{task}} tools that don't hallucinateAI content writing tools that don't hallucinate

Why these prompts

AI-tool AEO has unique retrieval characteristics:

  • Incumbent comparison is dominant. Almost every category-discovery prompt eventually narrows to "X vs ChatGPT" or "X vs Claude". Tracking these directly is essential.
  • Hallucination concerns are a category-defining trust signal. Pages addressing accuracy/reliability get higher citation rates for "most accurate" prompts.
  • Pricing transparency matters because AI tools vary widely (free, freemium, pay-per-use, subscription). The "free vs paid" comparison is a high-traffic prompt.
  • Vertical positioning ("AI for legal", "AI for medical") gets surfaced when domain-specific accuracy/compliance constraints matter.
  • Open-source / privacy alternatives are a distinct retrieval cluster — buyers who care about self-hosting or data sovereignty.

Notes

  • If your tool is a Gemini-based product, expect Gemini to be measurably more generous about citing pages that mention Gemini directly. Don't game this — but be aware of the recurring retrieval set bias.
  • The "doesn't hallucinate" prompts are noisy — citation rates fluctuate as Gemini's framing of hallucination changes. Sample at N=50 here for tighter signal.
  • Pair with aeo-schema using Product or SoftwareApplication JSON-LD to make your pricing/features machine-readable.
  • Suggested first-baseline scope: 10 prompts × 20 samples = ~$0.06 estimated cost.

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