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    Why doesn't ChatGPT recommend my site?

    If assistants name your competitors and not you, the cause is usually mechanical rather than mysterious. Here are the reasons we see most often, and how to check which apply to your site.

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    This runs the complete LLMao scan — the same engine, methodology and scoring used everywhere on the site. You get the full report; we simply open it on the part you came here for.

    The usual reasons a site never gets mentioned

    • AI crawlers are blocked or partially blocked in robots.txt, so the content was never fetched.
    • The main content only appears after JavaScript runs, so the fetched HTML is nearly empty.
    • The page never states plainly what the company does, for whom, and where — so a model cannot match it to a question.
    • No structured data confirming the organisation, product, or author identity.
    • Content is written as brand narrative rather than as answers to the questions people actually ask.
    • Few third-party sources describe the business, so models have little corroboration to draw on.

    Why competitors get named instead

    Assistants assemble answers from the material they can retrieve and verify. A competitor with a clear description, consistent naming, comparison pages, and pages that answer the exact question tends to be an easier source to quote — not necessarily a better product.

    That gap is measurable. The LLMao scan reports the same categories for your site and for the competitors it detects, so you can see which specific signals they have and you do not.

    What to fix first

    • Confirm crawler access and that your HTML contains your content without JavaScript.
    • Add a plain-language description of the business near the top of key pages.
    • Publish Organization and Product structured data that matches the visible content.
    • Create pages that answer the questions prospects ask, in question-shaped headings.
    • Keep naming, category words and claims consistent across your site and profiles.

    What LLMao checks for chatgpt readiness

    These are real tests from the LLMao methodology — the same ones that run in every scan, covering Technical Accessibility, Entity Definition, Content Structure, Authority & Trust Signals.

    AI Crawler Access

    Technical Accessibility

    robots.txt allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended

    JavaScript Dependency

    Technical Accessibility

    Content accessible without excessive JavaScript rendering

    Meta Description

    Technical Accessibility

    Present, descriptive, and within character limits

    Social & OG Metadata

    Technical Accessibility

    Open Graph and Twitter Card metadata present

    About Page with Organization Schema

    Entity Definition

    Dedicated about page with proper Organization structured data

    Author Identification

    Entity Definition

    Author bios with Person schema and consistent naming

    Entity Naming Consistency

    Entity Definition

    Brand and entity names used consistently throughout content

    Key Term Definitions

    Entity Definition

    Important concepts and terms defined clearly on first use

    Heading Hierarchy

    Content Structure

    Proper H1 → H2 → H3 hierarchy without skipped levels

    Semantic HTML Elements

    Content Structure

    Use of article, section, nav, aside, main, header, footer

    Content Organization

    Content Structure

    Clear sections, table of contents, or visual organization

    Paragraph Structure

    Content Structure

    Logical flow with appropriate paragraph lengths (not walls of text)

    Author Credentials

    Authority & Trust Signals

    Author bylines with expertise indicators (titles, affiliations, experience)

    Contact Information

    Authority & Trust Signals

    Physical address, email, phone number visible and verifiable

    Trust Pages

    Authority & Trust Signals

    Privacy policy, terms of service, editorial standards present

    Social Proof

    Authority & Trust Signals

    Reviews, testimonials, or endorsements with proper schema

    Publication Information

    Authority & Trust Signals

    Clear publication dates, update history, editorial process

    The same scan also examines readability, schema.org markup, citation & source quality, content freshness — you always get the complete report. See the full methodology.

    Frequently asked questions

    Keep reading

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    Crawler access, content structure, structured data, entity clarity, metadata, trust signals and more — 8 categories, 35+ tests, one report you can save and rescan.

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