LLM SEO audit checklist

Audit your site for LLM visibility

Check whether AI assistants can crawl, understand, summarize, and cite your product. SEOBolt audits llms.txt, bot rules, entity schema, metadata, pricing context, and comparison pages as first-class crawler issues.

Audit LLM visibility 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
llms.txt exists at the domain root
llms.txt includes product summary, links, features, pricing, API/MCP, use cases, and comparisons
AI crawlers can reach homepage and llms.txt
Homepage has answer-ready title and descriptions
Entity schema connects product, organization, official links, and offers
Pricing and feature pages are crawlable

The revenue loop SEOBolt sells

1

Discover

Fetch robots.txt, llms.txt, sitemap, and the homepage.

2

Score

Check AI crawler access, entity clarity, and answer-ready context.

3

Fix

Generate exact changes for llms.txt, schema, metadata, and copy gaps.

4

Recheck

Run the audit again after your agent applies the changes.

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.

llms.txt exists at the domain root
llms.txt includes product summary, links, features, pricing, API/MCP, use cases, and comparisons
AI crawlers can reach homepage and llms.txt
Homepage has answer-ready title and descriptions
Entity schema connects product, organization, official links, and offers
Pricing and feature pages are crawlable
Comparison pages exist for high-intent AI answers
No noindex or robots block on important pages
llms.txt sections SEOBolt checks
# Product
> One-line summary of what you do

## Core Features
- Feature with canonical URL

## Pricing
- Free, Starter, Pro, Business

## API and MCP
- Install, endpoints, tools

## Use Cases
- Agencies, founders, developers

## Comparisons
- Alternatives and vs pages

Why this is different from a report

AI-readable context

A thin llms.txt is not enough; the file needs product, pricing, docs, use-case, and comparison context.

Crawler access matters

If AI crawlers cannot reach your public pages, answer engines have less reliable context to cite.

Fixes are concrete

SEOBolt turns missing context into snippets and checklist items that a coding agent can apply.

Frequently Asked Questions

What does an LLM SEO audit check?

An LLM SEO audit checks /llms.txt existence and depth, AI crawler permissions in robots.txt, Schema.org entity metadata, open graph summaries, crawlable pricing/features, and answer engine citation readiness across ChatGPT Search, Claude, and Perplexity.

Why is a complete /llms.txt file important for AI search?

A well-structured /llms.txt file gives AI answer engines concise canonical links to core features, pricing tiers, API/MCP docs, use cases, and product comparisons so AI assistants can accurately cite and recommend your platform.

How does SEOBolt fix LLM SEO gaps?

SEOBolt generates structured fix plans with copy snippets, robots.txt directives, and Schema.org metadata. AI coding agents can consume these fix plans via SEOBolt's MCP server to patch repository code directly.

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