LLM SEO Audit Checklist: 9 Checks for ChatGPT Search and AI Answers
LLM SEO is no longer just "add an llms.txt file." If ChatGPT Search, Claude, Perplexity, and other answer engines cannot crawl, understand, and cite your product, you can lose discovery even when classic SEO looks fine.
This checklist focuses on practical checks a crawler can verify.
1. Check OpenAI crawler access
Your robots.txt should not accidentally block the crawlers used for ChatGPT Search and OpenAI retrieval workflows.
Check these user agents:
- •OAI-SearchBot
- •ChatGPT-User
- •GPTBot
Important public paths should usually be crawlable:
- •/
- •/llms.txt
- •/pricing
- •/features
- •/docs or /api
- •comparison and alternative pages
Use SEOBolt's [ChatGPT Search SEO checker](/chatgpt-search-seo) or the [robots.txt tester](/tools/robots-txt-tester) to test those paths directly.
2. Check other AI discovery crawlers
OpenAI is not the only answer-engine surface. Also check whether your public product pages are available to:
- •ClaudeBot
- •Claude-Web
- •PerplexityBot
- •CCBot
You do not need to allow every crawler on the internet. You do need to make a deliberate decision instead of inheriting a broad block from an old robots.txt file.
3. Publish a useful llms.txt
A thin llms.txt file is better than nothing, but it is not enough for serious product discovery.
At minimum, include:
- •Product name and one-line summary
- •Canonical homepage, pricing, docs, and feature URLs
- •Core features with short descriptions
- •Pricing tiers or a pricing-page link
- •API, SDK, or MCP details
- •Use cases and target audiences
- •Comparison and alternative pages
Use the [free llms.txt generator](/tools/llms-txt-generator) to draft the file, then run the [LLM SEO audit](/llm-seo-audit) to check whether it is deep enough.
4. Add entity schema
Answer engines need to know what the entity is. Add JSON-LD on key commercial pages:
- •Organization schema on the homepage
- •SoftwareApplication or Product schema for the product
- •Offer schema on pricing pages
- •sameAs links for official profiles, documentation, and GitHub
The goal is not "schema for schema's sake." The goal is to make the product, owner, price, category, and official links unambiguous.
5. Make metadata answer-ready
Classic SEO metadata still matters, but AI summaries also need crisp page descriptions.
Check every important page for:
- •title tag
- •meta description
- •og:title
- •og:description
- •canonical URL
The description should answer what the page is, who it is for, and what outcome it helps with.
6. Add crawlable pricing and feature context
Many SaaS sites hide crucial context behind tabs, images, modals, or logged-in flows. AI crawlers need plain crawlable HTML.
Make sure your pricing and feature pages include:
- •Plan names
- •Prices or a clear pricing link
- •Feature bullets
- •Target users
- •Limits and usage tiers
- •API or integration details
7. Add use-case pages
LLM answers often match intent such as "best SEO audit tool for agencies" or "SEO tool for AI agents." A generic homepage is rarely enough.
Create use-case sections or pages for your real buyers:
- •Agencies
- •Startup founders
- •Developers
- •Freelance SEOs
- •AI agents and automation workflows
8. Add comparison pages
Revenue-focused SEO tools win high-intent searches with comparison pages. If someone asks an AI assistant for alternatives, your site needs crawlable context that says where you fit.
Create pages such as:
- •/vs/ahrefs
- •/vs/semrush
- •/vs/moz
- •/ahrefs-alternative
Be honest. If you do not have a proprietary backlink index, say that. Then explain where you are stronger: recurring audits, fix plans, MCP, API, reports, and price.
9. Re-crawl after fixes
The best LLM SEO audit is a loop:
- Crawl the site
- Find SEO and AI Search issues
- Generate a fix plan
- Apply changes
- Re-crawl and verify the score moved
That is the workflow SEOBolt is built for. Run the [free SEO + LLM Search audit](/free-audit) to check your homepage, or connect an AI agent with [MCP SEO automation](/mcp-seo) to run the full fix loop.
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