ai-search-audit
Enables blind visibility audits against Gemini (via Google API), asking buyer-style questions and returning verbatim answers and cited sources.
Enables blind visibility audits against ChatGPT, asking buyer-style questions without mentioning your brand and returning verbatim answers and cited sources.
Enables blind visibility audits against Perplexity, asking buyer-style questions and returning verbatim answers and cited sources.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ai-search-auditIs my site visible in AI search? What's cited instead of me?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ai-search-audit
Find out whether ChatGPT, Gemini and Perplexity recommend your site — and why they don't.
An open-source GEO / AEO auditor and MCP server. No account. No card. Your keys.
Your customers have stopped googling. They ask an assistant "best CRM for small law firms?" and buy whatever it names. If it doesn't name you, you don't exist — and no analytics tool will tell you, because there is no click to measure.
This audits it directly: it asks the questions your buyers ask, records the answers word for word, and shows you which sources the models cite instead of you.
Why another one
Most tools in this space ask the model "what do you think of Acme?" — which tells you nothing, because naming the brand in the prompt guarantees it shows up in the answer.
This asks blind. Your brand never appears in the question, so the answer you get back is the answer a real buyer gets. That is the whole difference between a number you can act on and a number that flatters you.
Three more things a prompt wrapper can't do:
Verbatim receipts. Every result carries the exact prompt and the model's raw answer, so you can paste it into ChatGPT yourself and reproduce it.
Honest coverage. If an engine fails or rate-limits, the report says so. It never quietly drops an engine and calls the remaining average your score. If a site can't be reached, it refuses to score it rather than inventing a number.
A real readiness audit. 11 checks against your actual site — not a prompt.
Related MCP server: ai-visibility-mcp
Quick start — no API keys needed
The readiness audit runs against any site with zero configuration and zero cost:
git clone https://github.com/bolidee/ai-search-audit && cd ai-search-audit
npm install && npm run build
node dist/cli.js readiness yourbrand.comNot on npm yet. The examples below are written as
npx ai-search-audit …for once it is published — until then, substitutenode dist/cli.js …from the cloned directory. Everything works today; only the install shortcut is pending.
AI-READINESS stripe.com 82/100
✓ Served over HTTPS
✓ AI crawlers allowed
✓ Structured data (schema.org)
✓ llms.txt published (bonus)
✓ Title + meta description
✓ Readable without JavaScript
✓ Canonical URL set
✓ Social preview tags (Open Graph)
✗ Single, clear H1
2 H1 tags — ambiguous which is the main topic
✗ Images have alt text
27 of 31 images missing alt text
✓ Sitemap referenced
✓ No broken internal links
→ 2 issues to fix(That's real output — stripe.com, unmodified.)
11 checks, all first-party fetches: HTTPS · AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended…) unblocked in robots.txt · schema.org markup · llms.txt · title + meta · readable without JavaScript · canonical · Open Graph · single-H1 structure · image alt-text coverage · sitemap referenced · broken internal links (sampled).
Exits non-zero when checks fail, so you can gate a deploy on it:
- run: npx ai-search-audit readiness ${{ env.SITE }}Machine-readable output for pipelines:
npx ai-search-audit readiness yourbrand.com --json > report.jsonThe visibility audit — bring your own keys
To measure what the engines actually say, add whichever keys you have. Any one is enough; more engines means more coverage.
export OPENAI_API_KEY=... # optional
export GOOGLE_API_KEY=... # optional
export PERPLEXITY_API_KEY=... # optional
npx ai-search-audit audit yourbrand.comIt reads your site, infers what you sell, generates the questions your buyers would actually ask, and asks all of them — blind — across every engine you configured.
VISIBILITY lymexa.com 0 of 8 answers · 0%
Lymexa — premium pickleball paddles and recovery gear brand, USA
"What are the best premium pickleball paddles for advanced players?"
Gemini ✗ not named JOOLA, CRBN, Selkirk, Six Zero
Perplexity ✗ not named JOOLA, Selkirk, CRBN, Gearbox
"Which high-performance pickleball paddle brands are manufactured in the USA?"
Gemini ✗ not named Engage, Paddletek, Selkirk, Thompson Pickleball
Perplexity ✗ not named Engage, Paddletek, Selkirk, GAMMA
RECOMMENDED INSTEAD
Selkirk 4× named
Therabody 4× named
Hyperice 4× named
CITATION GAP — cited on the questions you lost
reddit.com 7× Community discussion AI trusts for real opinions
youtube.com 6× Video content AI pulls into answers
pickleheads.com 4× Third-party source AI cites instead of you
! ChatGPT did not respond — this score covers the rest only.(Real output, trimmed for length. Note the last line: when an engine fails, the report says so instead of quietly averaging the rest and calling it your score.)
Runs on your own keys — a full audit is typically a few cents.
Use it from your agent
It ships as an MCP server, so Claude, ChatGPT or any MCP-capable agent can run it directly:
claude mcp add --transport stdio ai-search-audit -- npx ai-search-audit mcpThen just ask:
"Is my site visible in AI search? What's cited instead of me?"
tool | what it does | keys |
| 11-point AI-readiness audit | none |
| blind multi-engine visibility + verbatim answers | BYO |
| sources cited on the questions you lose | BYO |
| which engines this install can query | none |
There's also a SKILL.md so agents know how to interpret the
numbers — that readiness isn't visibility, that 0% is a normal starting point,
and that partial engine coverage must be reported as partial.
Use it as a library
import { checkReadiness } from 'ai-search-audit';
const report = await checkReadiness('example.com');
console.log(report.score, report.checks);Free vs hosted
Everything here is free forever, self-hosted, AGPL — full capability, no feature locks, no telemetry, no account.
A hosted version exists for the one thing self-hosting genuinely can't give you: scheduled re-runs, stored history, trend lines and alerts — the infrastructure to watch a number move over months without running anything yourself. That's the only difference. If you're happy running it, run it.
Contributing
Issues and PRs welcome. The checks are deliberately conservative: every one has to be something an assistant or its crawler actually depends on, and verifiable by hand. If a check can't be justified that way, it doesn't belong here.
License
AGPL-3.0. Use it, fork it, run it commercially, embed it in your own tooling. If you offer it to others as a hosted service, that service must be open too.
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