AI Visibility Preflight checks a small set of public-facing signals that can influence how a page is exposed to crawlers, language models, answer engines, and search systems.
That includes robots.txt access, sitemap discovery, llms.txt presence, canonical handling, noindex directives, Open Graph coverage, and basic JSON-LD availability.
Pages often lose visibility because the basics are incomplete or contradictory. Common issues include blocked crawl paths, missing or undiscoverable sitemaps, noindex directives, broken canonical signals, no llms.txt, weak metadata coverage, or no structured data at all.
Even when a page is technically public, missing visibility signals can make it harder for systems to understand the page clearly or treat it as a strong candidate for crawling, citation, or reuse.
Use the output as a preflight checklist. Fix the most obvious blockers first, then clean up canonical tags, metadata, structured data, and supporting discovery files before moving into deeper SEO or content work.
This tool is best used as an early warning pass before larger visibility reviews, AI mention tracking, or technical audits across the rest of the site.