AI crawler access
Checks whether GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, and other major crawlers can read public pages without being blocked by robots.txt.
Visibility in AI Search
TerlihatAI checks crawler access, llms.txt, schema, and citation-ready content, then prepares files you can paste into Shopify, WooCommerce, Wix, or a custom ecommerce site.
The first audit focuses on technical and content signals that can be verified from public pages.
Checks whether GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, and other major crawlers can read public pages without being blocked by robots.txt.
Looks for a root-level llms.txt file that explains canonical pages, products, services, and the sources most worth citing.
Reviews Organization, WebSite, Product or Service, Offer, and FAQPage JSON-LD against the visible content on the page.
Evaluates whether headings, short answers, proof points, audience fit, shipping, pricing, and support details are written as extractable facts.
The goal is not another scorecard. The useful output is a set of fixes a store owner or developer can ship.
Allow and disallow rules that open key AI crawlers while keeping private pages, APIs, and customer reports out of public crawling.
A root-domain Markdown map that gives AI systems a clean route to product, service, FAQ, and proof pages.
Organization, WebSite, Product or Service, and FAQ schema templates with stable @id values and clear brand context.
Rewritten descriptions that turn promotional claims into specific facts: who it is for, what it does, proof, and buying details.
The baseline score comes from pages, robots.txt, sitemap, llms.txt, schema, and text that can actually be fetched.
Each finding is mapped to a deployable fix instead of ending at a visibility graph or issue list.
After fixes are installed, the same site can be scanned again to confirm crawler access, schema, and content changed.
TerlihatAI is a GEO audit tool that checks whether a site is easy for AI systems to read, trust, and cite, then prepares fix files such as robots.txt, llms.txt, schema, and citation-ready copy.
No. The first step is to strengthen the core signals on existing public pages and public machine-readable files, not to generate mass articles.
Yes. The fixes are delivered as files or code snippets that can be pasted into common store platforms or handed to a developer.
Monitoring tells you what is wrong. TerlihatAI starts with an audit, then returns deployable artifacts that can be installed and checked again.