AI search is now part of SEO

AI SEO audits your agent can fix

SEOBolt checks the classic SEO basics plus the new AI-search surface inside the crawler: OpenAI crawler access, llms.txt, structured data, entity clarity, and MCP fix plans your coding agent can apply.

Run a free AI SEO audit Connect MCP

Crawler-backed checks, not marketing copy: audits now emit AI Search issues into dashboard reports, fix plans, REST API responses, and MCP tools.

AI SEO audit result
OAI-SearchBot, ChatGPT-User, and GPTBot access
ClaudeBot, PerplexityBot, CCBot crawl rules
llms.txt depth, links, use cases, pricing, and API/MCP context
SoftwareApplication, Product, Organization, and Offer schema
Meta description and Open Graph summary for answer engines
Canonical, sitemap, robots.txt, and indexability checks

The revenue loop SEOBolt sells

1

Audit

Crawl the site and check both search-engine and AI-search readiness.

2

Prioritize

Group issues by severity, affected URLs, and fix impact.

3

Apply

Send the fix plan to Claude, Cursor, or Codex over MCP.

4

Verify

Re-crawl and confirm crawler access, metadata, and score improved.

What the crawler checks

Traditional SEO still matters, but AI search adds new failure modes: blocked AI crawlers, missing entity context, thin llms.txt files, and pages that answer engines cannot cite. SEOBolt reports those as first-class audit issues with fix templates.

OAI-SearchBot, ChatGPT-User, and GPTBot access
ClaudeBot, PerplexityBot, CCBot crawl rules
llms.txt depth, links, use cases, pricing, and API/MCP context
SoftwareApplication, Product, Organization, and Offer schema
Meta description and Open Graph summary for answer engines
Canonical, sitemap, robots.txt, and indexability checks
Crawlable feature, pricing, comparison, and use-case copy
Apply-ready fix plan with code snippets
MCP fix loop
seo_start_crawl({ projectId })
seo_fix_plan({ projectId })
# Agent applies fixes to the repo
seo_start_crawl({ projectId })
seo_audit({ projectId })

Why this is different from a report

Not just a score

Every issue links back to the exact page and ships with fix guidance your agent can use.

Built for AI workflows

The MCP server exposes audit, issues, fix-plan, and re-crawl tools to coding agents.

Closed-loop verification

After fixes land, SEOBolt crawls again so you can prove the score and AI-search readiness improved.

Frequently Asked Questions

What is an AI SEO audit?

An AI SEO audit evaluates how effectively AI search engines (like ChatGPT Search, Perplexity, and Claude) can crawl, parse, understand, and cite your site's content, entity structure, pricing, and features.

How does SEOBolt help AI coding agents fix SEO issues?

SEOBolt provides an MCP server and REST API that output structured fix plans with code snippets. Coding agents like Claude, Cursor, or Codex can read these fix plans, patch your repo files, and run re-crawls to verify score improvements.

Is AI SEO different from traditional technical SEO?

AI SEO builds on traditional technical SEO (crawlability, indexability, metadata) by adding AI crawler verification (OAI-SearchBot, ClaudeBot, PerplexityBot), /llms.txt audit, and structured Schema.org entity metadata to maximize AI answer engine citations.

Start with the free audit

Check your homepage for AI search access, llms.txt quality, crawler rules, structured data, Open Graph, canonical tags, and the first fixes to apply.

Run the audit