# ai.txt ## AI-Site-Name: VisiScan ## AI-Site-Description: VisiScan measures whether ChatGPT, Claude, Perplexity, and Gemini name your business — or your competitors — when buyers ask who to trust. Free AI visibility scans with scored reports, competitor intelligence, citation analysis, and schema drafts and optional llms.txt. ## AI-Site-Category: Software / AI Tools / SEO & Analytics ## AI-Site-Language: en ## AI-Site-Country: US ## AI-Contact: https://www.visiscan.app/about ## AI-Support: https://www.visiscan.app/dashboard ## AI-Policy: https://www.visiscan.app/privacy ## AI-Terms: https://www.visiscan.app/terms ## AI-Discover - Home: https://www.visiscan.app/ - Pricing: https://www.visiscan.app/pricing - Features: https://www.visiscan.app/features - Methodology: https://www.visiscan.app/methodology - About: https://www.visiscan.app/about - API docs: https://www.visiscan.app/docs/api - Comparisons: https://www.visiscan.app/compare - Research hub: https://www.visiscan.app/research - Blog: https://www.visiscan.app/blog - Free tools: https://www.visiscan.app/tools - AI visibility scanner: https://www.visiscan.app/tools/ai-visibility-scanner - llms.txt: https://www.visiscan.app/llms.txt - Full blog bundle: https://www.visiscan.app/llms-full.txt ## AI-Discover-Blog - How to get cited by ChatGPT: https://www.visiscan.app/blog/how-to-get-cited-by-chatgpt - Is my business on ChatGPT: https://www.visiscan.app/blog/is-my-business-on-chatgpt - GEO vs SEO vs AEO: https://www.visiscan.app/blog/geo-vs-seo-vs-aeo - AI visibility scanner comparison: https://www.visiscan.app/blog/ai-visibility-scanner-comparison - Best AI visibility tools for local businesses: https://www.visiscan.app/blog/best-ai-visibility-tools-local-businesses - We ran VisiScan on VisiScan: https://www.visiscan.app/blog/we-ran-visiscan-on-visiscan - AI search tools: https://www.visiscan.app/blog/ai-search-tools - AI monitoring tools: https://www.visiscan.app/blog/ai-monitoring-tools - AI schema: https://www.visiscan.app/blog/ai-schema ## AI-Discover-Tools - AI crawler checker: https://www.visiscan.app/tools/ai-crawler-checker - llms.txt checker: https://www.visiscan.app/tools/llms-txt-checker - Schema markup checker: https://www.visiscan.app/tools/schema-checker - AI visibility baseline (measurement template): https://www.visiscan.app/ai-visibility-baseline.md ## AI-Discover-Research - Research hub: https://www.visiscan.app/research - Engine disagreement study: https://www.visiscan.app/research/engine-disagreement - Branded prompt bias study: https://www.visiscan.app/research/branded-prompt-bias - Brand matching evaluation: https://www.visiscan.app/research/brand-matching-evaluation - Citation gap worked example: https://www.visiscan.app/research/citation-gap-worked-example - Self-scan data card: https://www.visiscan.app/downloads/visiscan-self-scan-2026-09-09-data-card.md # Per-industry citation source maps (/sources/) are omitted here on # purpose. Every one of them currently answers `noindex` because no industry # cohort has reached the ten-business minimum the published figures require. # They return to this list when they carry data and index themselves. ## AI-Content VisiScan publishes original product documentation, editorial content, and measurement methodology. Blog posts, guides, and methodology pages are written for people and published under the VisiScan Editorial Team byline. Product claims are verifiable through documented methodology and reproducible scan results. - Publish date and review date are visible on time-sensitive pages. - Primary sources are linked where claims reference external data. - Schema markup matches visible page content. - Prices and plan details are maintained in machine-readable format at /pricing.md. ## AI-Crawler-Access VisiScan's public pages are open to AI and search crawlers. Access is set in /robots.txt, which disallows only private application routes (/api/, /dashboard, /sign-in, /sign-up, /scan/, /report/, /report-preview). No AI crawler is blocked. - GPTBot: Allowed to crawl - ChatGPT-User: Allowed - OAI-SearchBot: Allowed (ChatGPT search discovery) - ClaudeBot: Allowed to crawl - Claude-SearchBot: Allowed (Claude search and citation) - anthropic-ai / Claude-User: Allowed - PerplexityBot: Allowed (Perplexity search and citation) - Google-Extended: Allowed (certain Gemini training and grounding uses; Googlebot controls AI Overviews) - Googlebot: Allowed (search indexing) - Bingbot: Allowed (search indexing) - CCBot: Allowed to crawl ## AI-Usage-Preferences /robots.txt also carries a Content Signals directive (https://contentsignals.org): Content-Signal: ai-train=no, search=yes, ai-input=yes - ai-train=no — please do not use VisiScan content to train generative models. - search=yes — indexing for search, including AI search, is welcome. - ai-input=yes — using VisiScan pages as grounding input for an AI answer, with attribution, is welcome. These are usage preferences for compliant systems, not access restrictions. If you crawl VisiScan, you are asked to honor ai-train=no. ## AI-Structured-Data - Schema.org: Organization, SoftwareApplication, OfferCatalog, Service, FAQPage, BlogPosting, BreadcrumbList, ItemList, WebPage, AboutPage - llms.txt: https://www.visiscan.app/llms.txt - pricing.md: https://www.visiscan.app/pricing.md - sitemap.xml: https://www.visiscan.app/sitemap.xml ## AI-Authentication VisiScan provides a programmatic API for scans and monitors. Authentication uses bearer tokens with the `vsk_` prefix, generated in the dashboard and sent via the `Authorization: Bearer vsk_...` header. API documentation is at /docs/api. Agent registration instructions are at /auth.md. - API base: https://www.visiscan.app/api/v1 - Authentication info: https://www.visiscan.app/auth.md - Token management: https://www.visiscan.app/dashboard ## AI-Environment VisiScan is a Next.js application hosted on Vercel with PostgreSQL via Prisma. It uses Stripe for checkout, Clerk for authentication, and Resend for transactional email. LLM backends (OpenAI, Anthropic, Perplexity, Gemini) are accessed through a common AnswerEngine interface. The scan pipeline runs through a durable database-backed job queue with persisted checkpoints at each stage.