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?
Crawler-backed checks, not marketing copy: audits now emit AI Search issues into dashboard reports, fix plans, REST API responses, and MCP tools.
Crawl the site and check the AI-search discoverability layer.
Separate Google SEO health from LLM Search readiness.
Generate robots.txt, llms.txt, schema, metadata, and page-copy fixes.
Re-crawl after changes before investing in prompt tracking.
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.
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_missingPrompt trackers show where you are mentioned. SEOBolt shows whether your site gives answer engines enough crawlable context to mention you.
Before paying hundreds per month for AI visibility tracking, fix the crawler, schema, llms.txt, and citation blockers you control.
Every failing check can flow into an API or MCP fix plan so an agent can patch the repo and re-run the 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