AI Knowledge Graph Checker for Your Brand Facts

Check in seconds what ChatGPT, Claude, and Gemini actually know about your brand, and spot the gaps, mix-ups, and outdated facts they keep repeating.

Try:

5 credits per run. 20 free credits when you sign up, no credit card required.

example.com

Example
58of 100

AI assistants can read you, rarely cite you

  • AI crawlers allowedYes
  • llms.txtNot found
  • Cited for brand questions0 of 5
  • Structured dataPresent

Example result with sample data. Yours uses live data for your inputs.

How it works

From your input to a prioritised list of fixes in under a minute.

  1. Step 1

    Enter your details

    Your website, business or the item you want checked. Nothing to install.

  2. Step 2

    We run live checks

    Brainito fetches live data and tests it against the rules that matter.

  3. Step 3

    Fix what matters first

    Clear results with what to fix, in order of impact, and where to go next.

What you get

What the result tells you, and why it is worth the minute it takes.

  • See What Models Believe

    Get a clear readout of the facts AI models currently state about your brand, products, and positioning.

  • Catch Outdated Facts

    Spot old pricing, retired products, and stale descriptions that models still repeat to your buyers.

  • Fix Gaps With Direction

    Each gap comes with guidance on the content and signals that help models learn the correct facts.

The guide

What the ai knowledge graph checker does, how to use it, and what to do with the result.

An AI knowledge graph checker tests how well machines recognize your brand as a distinct entity. Search engines and AI models build knowledge graphs that link entities such as people, products, and organizations to verified facts. This checker inspects the structured data and signals that feed those graphs, showing whether models can confidently identify who you are, what you do, and how you relate to other entities.

What the AI knowledge graph checker checks

The AI knowledge graph checker examines the signals that tell machines who your brand is. It looks at structured data markup such as Organization and Product schema, consistency of your name and details across the web, and the entity links that connect you to related topics and people. It also considers whether authoritative sources describe you in ways a model can parse. The goal is to see if your brand reads as a clearly defined entity with reliable facts attached, or as ambiguous text a model may misread or ignore. In short, it checks the machine-readable foundation that decides whether AI systems truly know your brand.

How to read and fix entity signals

Read the results as a map of where your entity signals are strong and where they are thin. If structured data is missing or malformed, add or correct schema so key facts are explicit and machine-readable. Where your name, description, or details are inconsistent across profiles and directories, align them so models see one coherent identity. If important facts or relationships are absent, publish and reinforce them on pages models can reach, and seek mentions from sources that already carry entity authority. Fix ambiguity first, since a model that cannot identify you confidently will not cite you. Recheck after changes to confirm the signals now resolve cleanly.

Why entity recognition matters for rankings

Entity understanding underpins both modern search and AI answers. Search engines increasingly rank and display results based on entities and their relationships, not just keywords, so a well-formed knowledge graph presence can earn rich results and greater trust. For AI assistants, clear entity recognition is often a prerequisite for being named, since a model must confidently know who you are before it recommends you. Strong structured data and consistent facts also reduce the risk of models stating something wrong about your brand. Investing in entity clarity therefore pays off twice: better visibility in traditional search and a stronger chance of surfacing in AI-generated responses.

Frequently asked questions

Something else? Email support@brainito.com

What does the AI knowledge graph checker actually test?

It asks leading AI models factual questions about your brand, then compares their answers against your website. The report flags missing facts, outdated details, and confusions with other companies, so you know exactly what needs correcting.

Can I change what AI models know about my brand?

You can influence it. Models learn from public content, so clear about pages, consistent descriptions, structured data, and authoritative coverage all help. The checker shows which facts need reinforcing so your effort goes where it matters.

Is the AI knowledge graph checker free in 2026?

It is free to try. Every new Brainito account comes with 20 free credits, and each run costs 5 credits. Run the check without entering payment details and get the full gap report, a sensible first step before investing in any broader AI visibility strategy.

Where to go from here

The ai knowledge graph checker answers one question. These are the next ones worth asking.

  1. Step 1AI SEOGet quoted by ChatGPT, Perplexity and GeminiOpen
  2. Step 2AI Visibility MonitoringTrack AI mentions every weekOpen
  3. Step 3Free Marketing AuditSee every issue on the site across 77 factorsOpen

This tool checks one thing. An audit checks 77.

Want it fixed and tracked? See the Marketing Manager

Guides on this topic

Find out what AI models really know about your brand

One account unlocks the ai knowledge graph checker plus 320+ marketing tools, weekly audits and your action plan.

  • 20 free credits when you sign up
  • 5 credits per run
  • No credit card required