
AI SEO
Marketingby coreyhaines31
3/3 audits passMIT
When the user wants to optimize content for AI search engines, get cited by LLMs, or appear in AI-generated answers.
AI SEO, from Corey Haines' marketingskills collection (publisher coreyhaines31, MIT licence), teaches the agent how to make content discoverable, extractable and citable by AI answer engines such as Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini and Copilot. It separates Google's official position (no special markup needed, write for people) from how other engines behave, explains query fan-out, and runs an AI visibility audit: test key queries, analyze who gets cited, check content extractability and confirm AI crawlers such as GPTBot, PerplexityBot and ClaudeBot are not blocked. Its optimization strategy rests on three pillars, structure, authority and presence, with answer-block patterns, comparison tables and FAQ blocks, plus reference files on platform ranking factors, llms.txt and agent readiness.
It is for marketers who want their brand cited in AI-generated answers, or who notice competitors appearing where they do not. It does not replace a traditional technical audit (it points to seo-audit) or implement structured data itself. Some of its statistics are quoted from third-party research, so treat them as that research's figures rather than guarantees.
Inside BusinessMCP the AI business analyst can pair this playbook with the workspace's AI Visibility tracking and Search Console data, so recommendations start from which engines currently cite you.
What you can do with it
- Audit whether your brand appears in AI answers for key queries
- Check robots.txt for blocked AI crawlers
- Restructure a page into extractable answer blocks
- Compare why competitors get cited by Perplexity and you do not
Run it on your business data
Imported into BusinessMCP, AI SEO becomes a playbook your AI business analyst applies to your traffic, Search Console queries and conversions.
Use AI SEO in BusinessMCPInstall it in a coding agent
One command adds AI SEO to your project.
npx skills add https://github.com/coreyhaines31/marketingskills --skill ai-seoHow we vetted it
- Source
- coreyhaines31/marketingskills at 5b2c000
- Licence
- MIT
- Security audits (skills.sh)
- Gen Agent Trust Hub: Pass · Socket: Pass · Snyk: Pass
- Bundled scripts
- None, instructions only
Checked 2026-09-25 against its skills.sh listing. How we vet skills
Related skills
All skillsSEO Audit
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO…
Content Strategy
When the user wants to plan a content strategy, decide what content to create, or figure out what topics to cover.
Programmatic SEO
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] +…
Frequently asked questions
Does AI SEO recommend special markup for Google AI Overviews?
No. It quotes Google's guidance that no special markup or files are required and that content should be written for people, and reserves extractable structure and llms.txt for engines like ChatGPT, Claude and Perplexity.
Which AI crawlers does the skill check for?
Its bot access check lists GPTBot and ChatGPT-User, PerplexityBot, ClaudeBot and anthropic-ai, Google-Extended and Bingbot.
How do I install AI SEO?
Run `npx skills add coreyhaines31/marketingskills --skill ai-seo`, or import it from the BusinessMCP dashboard as a playbook for the AI business analyst.