Product
Everything BatSignal measures for AI visibility
BatSignal checks crawler access, content readiness, and answer presence so you can see whether AI systems can find—and cite—your website.
Crawlability audit
Before an answer engine can recommend you, AI crawlers need a clear path to your pages. BatSignal audits robots rules, fetch behavior, discovery files, and content-readiness signals that affect whether your site can be understood.
- robots.txt allow / block analysis for major AI crawlers
- Live homepage fetch checks when reachable
- Discovery files: sitemap.xml, llms.txt, and llms-full.txt
- Content readiness: title, meta description, Open Graph, JSON-LD, headings
- Empty SPA-shell detection and Common Crawl presence checks
Answer presence
Each scan measures how often your brand appears for neutral buyer-intent questions in ChatGPT and across the open web—so you see mention and recommendation rates that reflect real discovery, not branded stuffing.
Score, evidence, and competitors
Results roll into a five-pillar AI visibility score with citation sources, mention and recommendation rates, competitor appearances, and score history across scans. See the full weighting on themethodology page.
Actionable reports and exports
Findings become a prioritized action plan with concrete fixes. Export the report as PDF, CSV, or JSON when you need to share evidence with teammates or clients.
FAQ
Which AI crawlers does BatSignal check?
BatSignal audits access signals for major AI crawlers used by leading answer engines and training corpora.
What is included in a Visibility Scan?
A Visibility Scan runs a crawlability audit and buyer-intent visibility checks, then produces a composite score, competitor insights, citation source map, personalized dossier, and copy-paste deliverables.