AI Knowledge Checker
Discover what AI models actually know about your brand from their training data—without web search filling the gaps. Modern LLMs often use Google to supplement answers, hiding knowledge gaps. This tool tests pure AI memory.
What This Tool Actually Tests
Modern AI assistants like ChatGPT, Perplexity, and Claude often use RAG (Retrieval-Augmented Generation)—they search the web in real-time to supplement their answers. This means when you ask ChatGPT about your brand, it might Google your website and give you a perfect answer.
But that doesn't mean the AI actually knows your brand. It just means it can search for you.
This tool is different. We query AI models without web search enabled, testing what they truly learned during training. This reveals the gaps that web search typically hides.
AI searches Google, hides knowledge gaps
Tests pure AI memory, reveals true knowledge
Why Training Data Knowledge Matters
Even though AI can search the web, the knowledge baked into training data is fundamentally different—and often more impactful.
Offline & Privacy Modes
Many users disable web search for privacy. Enterprise users often run AI locally without internet. These users only get what the model "knows."
AI Agents & Automation
Autonomous AI agents making decisions often don't pause to search. They act on training knowledge. If they don't know your brand, you're invisible.
Framing & Context
Training data shapes how AI frames your brand. Even with web search, the model's baseline understanding influences how it interprets and presents new information.
Stability & Persistence
Training data knowledge is stable across millions of conversations. Web search results vary. Your brand's trained representation has lasting impact.
How AI Models Learn About Brands
Understanding how AI systems acquire brand knowledge helps you optimize your presence effectively.
Training Data Collection
AI companies crawl billions of web pages, including news articles, Wikipedia, forums, documentation sites, and social media. Your brand appears in this data based on your online footprint.
Model Training
The model learns patterns and associations. Brands mentioned frequently in authoritative contexts get stronger representations. Lesser-known brands may be learned weakly or not at all.
Knowledge Cutoff
Training has a cutoff date. Events, products, or changes after this date aren't in the model's knowledge unless supplemented by web search.
RAG Augmentation (Optional)
Some AI products add web search to fill knowledge gaps. But this is optional and varies by product/setting. Base knowledge remains the foundation.
Understanding Your Results
KnownBest
The AI confidently knows your brand from training data. It can describe what you do, your website, and possibly competitors. This is the ideal state.
VagueImprove
The AI has partial or uncertain knowledge. It may confuse your brand with others, give incomplete descriptions, or express low confidence. More authoritative content could help.
UnknownAction Needed
The AI doesn't know your brand at all. Without web search, it can't help users learn about you. This means you're invisible to offline AI users and autonomous agents.
How to Improve Your AI Presence
Do's
- • Create/update Wikipedia article with citations
- • Publish on authoritative sites (Crunchbase, LinkedIn, industry publications)
- • Maintain consistent brand info across all platforms
- • Issue press releases for major announcements
- • Use Schema.org structured data on your website
- • Get mentioned in news and industry articles
Don'ts
- • Don't rely only on your own website—AI needs third-party sources
- • Don't use inconsistent branding across platforms
- • Don't expect instant results—training data updates take time
- • Don't ignore authoritative directories in your industry
- • Don't forget about international sources if you're global
- • Don't assume web search fixes everything
Frequently Asked Questions
Why does ChatGPT know my brand when I ask it directly, but this tool says it's unknown?
ChatGPT (and similar tools) often use web search to supplement their knowledge. When you ask directly, it may search the web and pull information from your website. Our tool tests without web search to show what the AI actually learned during training.
How often do AI models update their training data?
Major updates happen every few months to a year. OpenAI, Anthropic, and Google periodically release new model versions with fresher training data. However, the exact cutoff dates and update schedules aren't always disclosed.
Can I ask AI companies to add my brand to their training data?
Not directly. AI companies don't accept submissions for training data. The best approach is to increase your brand's presence on authoritative websites that are likely to be included in future training datasets.
What's the difference between this and asking AI directly?
When you ask AI assistants directly, they may use web search, have different system prompts, or access tools that augment their responses. Our tool queries the base models in a controlled way to isolate pure training data knowledge.
Monitor Your AI Visibility Over Time
This free tool gives you a snapshot. VecDoor continuously monitors how your brand appears across ChatGPT, Claude, Gemini, Perplexity, and AI search engines—with alerts when things change.
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