AI visibility starts with crawlable proof

Find the blockers before you track AI mentions

AI visibility platforms track prompts, mentions, sentiment, and share of voice. SEOBolt handles the technical layer first: can AI crawlers reach your product, understand your entity, find pricing, and cite the pages that matter?

Run AI visibility 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
Overall, Google SEO, and LLM Search scores
OAI-SearchBot, ChatGPT-User, GPTBot access
ClaudeBot, Claude-Web, PerplexityBot, and CCBot rules
llms.txt depth, canonical links, pricing, API/MCP, use cases, and comparisons
Product, SoftwareApplication, Organization, sameAs, and Offer schema
Crawlable pricing, feature, documentation, and comparison pages

The revenue loop SEOBolt sells

1

Audit

Crawl the site and check the AI-search discoverability layer.

2

Expose gaps

Separate Google SEO health from LLM Search readiness.

3

Fix

Generate robots.txt, llms.txt, schema, metadata, and page-copy fixes.

4

Verify

Re-crawl after changes before investing in prompt tracking.

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.

Overall, Google SEO, and LLM Search scores
OAI-SearchBot, ChatGPT-User, GPTBot access
ClaudeBot, Claude-Web, PerplexityBot, and CCBot rules
llms.txt depth, canonical links, pricing, API/MCP, use cases, and comparisons
Product, SoftwareApplication, Organization, sameAs, and Offer schema
Crawlable pricing, feature, documentation, and comparison pages
Answer-ready meta descriptions and Open Graph summaries
MCP fix plan your coding agent can apply
AI visibility blockers SEOBolt catches
chatgpt_search_blocked
missing_llms_txt
llms_txt_too_thin
ai_entity_schema_missing
ai_answer_metadata_thin
ai_citation_context_missing
ai_offer_schema_missing

Why this is different from a report

Complements AI trackers

Prompt trackers show where you are mentioned. SEOBolt shows whether your site gives answer engines enough crawlable context to mention you.

Lower-cost first step

Before paying hundreds per month for AI visibility tracking, fix the crawler, schema, llms.txt, and citation blockers you control.

Built for remediation

Every failing check can flow into an API or MCP fix plan so an agent can patch the repo and re-run the audit.

Frequently Asked Questions

What does an AI visibility audit check?

An AI visibility audit checks whether your website provides crawlable context, robots.txt access, Schema.org entity metadata, and answer-ready content for AI search engines like ChatGPT Search, Claude, and Perplexity. An llms.txt file can add context, but it is optional.

How does AI visibility differ from traditional SEO?

Traditional SEO focuses on Google keyword rankings, backlinks, and click-through rates. AI visibility (GEO) focuses on whether LLMs can crawl, understand, and cite your canonical features, pricing, documentation, and product comparisons in synthesized answers.

How does SEOBolt help improve AI search visibility?

SEOBolt audits your technical AI readiness, generates a prioritized fix list for missing schemas, llms.txt context, and bot permissions, and provides an MCP server so AI coding agents can patch issues directly in your repository.

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