AI Search Readiness Audit
Collecting live technical signals...
LIVE TECHNICAL SIGNAL AUDIT

AI Brand Visibility Checker

Measure your website's AI search readiness using live technical SEO signals, then get an AI-assisted GEO improvement roadmap.

This tool does not claim access to private model training data or internal AI indexes. Scores are readiness estimates based on observable website signals and live Google PageSpeed/Lighthouse audit data.

--%Gemini Visibility
Live Gemini Prompt Test

Gemini Brand Visibility

Your brand visibility will be measured across neutral industry discovery prompts.

--Brand Mention Rate
--Domain Reference Rate
--First Mention Rate
--Other Brands Detected
--/100Readiness
Website Readiness Audit

AI Search Readiness

Entity & Brand Clarity

Analyzed

    Structured Data Readiness

    Technical Signal

      Content Extractability

      AI Answer Readiness

        Citation Readiness

        GEO Signal

          30-Day AI Visibility Roadmap

          Prioritized

          What Is AI Brand Visibility?

          AI brand visibility describes how clearly a brand can be understood, extracted, attributed and surfaced by AI-assisted search experiences. It is influenced by many of the same foundations that support strong SEO: crawlability, entity consistency, structured data, useful content, technical quality and trustworthy source signals.

          What Is Generative Engine Optimization?

          Generative Engine Optimization, commonly called GEO, complements traditional SEO. The goal is to make important brand and subject information easier for search systems and AI-assisted discovery experiences to interpret. GEO does not replace technical SEO, content quality or authority building.

          How This AI Visibility Checker Works

          The checker runs a sample of neutral, non-branded industry discovery prompts through the Gemini API and measures whether the submitted brand is mentioned, whether its domain is referenced, and whether it appears as the first brand named. A separate Lighthouse/PageSpeed audit estimates website readiness signals. Results are sample-based estimates and may vary between model versions and repeated runs.

          Signals Used in the Readiness Score

          • SEO audit score and indexability-related Lighthouse checks.
          • Title, meta description, crawlability and link-text signals available in the live audit.
          • Accessibility and best-practice scores as supporting content usability signals.
          • Submitted brand-name consistency against the audited domain context.
          • AI-assisted interpretation of the measured technical evidence.

          AI Visibility vs Traditional SEO

          Traditional SEO focuses on crawlability, relevance, authority and search performance. AI search readiness adds another layer: entity clarity, answer extractability, citation-friendly factual passages and machine-readable context. A website should build on strong SEO foundations before treating GEO as a separate growth channel.

          KNOWLEDGE BASE

          Frequently Asked Questions

          Everything you need to know about AI search readiness, GEO signals, and improving brand visibility.

          Can this tool check whether ChatGPT was trained on my website?

          No. Public website tools cannot reliably inspect private model training datasets. This checker evaluates observable readiness signals instead.

          What should I improve first for AI search visibility?

          Start with crawlability, clear brand and entity naming, valid structured data, answer-first content, source attribution, and technically healthy pages.

          Is GEO replacing traditional SEO?

          No. GEO is best treated as an extension of strong SEO and content architecture rather than a replacement for traditional search optimization.

          Does a high AI visibility score guarantee AI citations?

          No. The score is a technical readiness estimate, not a ranking or citation guarantee in ChatGPT, Gemini, Perplexity, or other AI experiences.

          What signals are used in the AI readiness score?

          The score uses observable technical signals including Lighthouse SEO checks, metadata, descriptive links, content structure, and supporting usability evidence. It does not measure private AI indexes.

          How often should I run an AI visibility audit?

          Run the audit after major technical, schema, or content changes and periodically for important landing pages to identify changes in observable readiness signals.