Optimizes content to get cited by AI assistants (ChatGPT, Perplexity, Google AI Overviews) and rank in classic SERPs — entity-rich intros, question-shaped H2s, 40-60 word extractable answers, schema.org JSON-LD, llms.txt, internal links, and E-E-A-T signals. Runs in audit or rewrite mode. Use when the user says "optimize this for SEO", "why doesn't ChatGPT cite us", "make this page rank", or "audit our content for AI search".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AI SEO — Search Whisperer
> "Rank in AI search"
## When to use
- A page must rank in Google and get quoted by AI answers — "make this pillar page rank"
- Diagnosing invisibility — "why doesn't Perplexity ever cite our docs?"
- Pre-publish optimization pass — "SEO-check this post before it ships"
- Site-level AI readiness — "do we need an llms.txt? Set it up"
- Not for net-new persuasion copy — that's `copywriting`
## Workflow
1. **Pick the mode.** Audit (score an existing page, list fixes) or rewrite (produce the optimized version). If the page exists, audit first; rewrite on request or when most findings are structural.
2. **Entity pass.** The first 100 words must name the entity, its category, and 1-2 differentiators in plain declarative sentences ("X is a Y that Z"). AI systems quote pages that define themselves.
3. **Map real queries to H2s.** Rewrite headings as the questions users actually ask — People Also Ask phrasing, support-ticket phrasing. One question, one H2.
4. **Write extractable answers.** Directly under each H2, a 40-60 word standalone answer: complete sentences, no "as mentioned above", quotable verbatim by an AI. Depth and nuance follow after it.
…
The line at the top of this page pins the label git:20260711.13c718d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
B 16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
fail: No script tag (matched: <script)
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (3782 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
GitHub
alebgl77/claude-inc · 21 stars · license MIT · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dc4avn4anut7ejrt
GET https://markdownregistry.com/api/v1/resolve?ref=alebgl77/claude-inc/ai-seo
GET https://markdownregistry.com/api/v1/blob/9087e3451006f6198b8b93f09b5b63bde6e5da5c697b8803ebd7868f0faf188b
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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