What do ChatGPT, Claude, Gemini, and Perplexity say about your brand?
Track AI perception across all major platforms. Know exactly what each AI says when someone asks about your brand—and how it changes over time.
LLM Perception Monitoring is VectorGap's core capability for understanding how AI systems represent your brand to millions of users. Every day, people ask ChatGPT, Claude, Gemini, and Perplexity questions like "What's the best project management tool?" or "Tell me about [your brand]." The answers these AI systems provide directly influence purchasing decisions, brand perception, and competitive positioning. VectorGap systematically queries each AI using prompts that mirror real user questions, then analyzes responses across six dimensions: Accuracy (is the AI stating facts?), Sentiment (is the tone positive?), Coverage (are key features mentioned?), Credibility (are sources cited?), Visibility (where do you appear?), and Recommendation (does AI actively endorse you?). With scheduled audits and market-specific monitoring, you get continuous visibility into your AI perception without manual effort.
How does LLM Perception Monitoring work?
We query AI systems
VectorGap asks each major LLM about your brand using standard prompts that mirror how real users ask questions.
We analyze responses
Each response is scored on accuracy, sentiment, visibility, coverage, credibility, and recommendation potential.
You get the full picture
See exactly what each AI says, how scores compare across providers, and how your perception changes over time.
What are the 6 metrics in the perception framework?
We don't just ask if AI mentions you. We measure how well.
Is the AI stating facts? We compare claims against your knowledge base to catch hallucinations and outdated info.
Is the AI positive, neutral, or negative about your brand? Does the tone match your brand voice?
Does the AI mention your key features, differentiators, and use cases? Or just surface-level info?
Does the AI cite sources? Use authoritative language? Back claims with evidence?
Where do you appear in the response? First mention? Buried at the end? Not mentioned at all?
Does the AI actually recommend your product? With a link? Or just mention you in passing?
What capabilities does perception monitoring include?
Multi-provider audits
Query ChatGPT, Claude, Gemini, and Perplexity in a single audit. See how perception differs across AI platforms.
Scheduled monitoring
Set up daily, weekly, or monthly audits. Track perception changes over time without manual effort.
Custom query templates
Use our standard prompts or create your own. Test specific use cases, comparison queries, or industry-specific questions.
Historical tracking
See how your perception score evolved. Correlate changes with your content updates or competitor moves.
What will you learn from a perception audit?
Which AI platforms know about your brand - and which don't
What specific claims each AI makes about your product
Which competitors get mentioned alongside you
Whether AI recommends you or just mentions you
Specific inaccuracies you need to address
How does AI perception vary by market?
How AI perceives your brand in France differs from Germany, the US, or Japan. We're the first to let you track this.
Global Perception
Your baseline. How AI systems perceive your brand globally, without any regional context. This is always included.
Market Perception
Country-specific audits. How AI systems perceive your brand when asked in the context of a specific market.
Why does market-specific monitoring matter?
Different markets, different perceptions
AI systems may recommend competitors more in certain regions due to local training data, language patterns, or market presence. A strong brand in the US might be unknown to AI systems answering questions about the German market.
Localized queries reveal hidden gaps
When users ask "best CRM software in France" vs "best CRM software", AI responses differ significantly. Local competitors, regional features, and market-specific concerns affect AI recommendations.
Optimize for expansion markets
Before entering a new market, understand how AI already perceives your brand there. Identify perception gaps and address them with targeted GEO content before launch.
Currently supported markets
More markets being added quarterly
Frequently Asked Questions about LLM Perception Monitoring
LLM Perception Monitoring tracks what AI systems like ChatGPT, Claude, Gemini, and Perplexity say about your brand. VectorGap queries each AI using standard prompts that mirror real user questions, then analyzes responses across 6 metrics: Accuracy (fact-checking against your knowledge base), Sentiment (positive/neutral/negative tone), Coverage (mention of key features), Credibility (source citations), Visibility (position in response), and Recommendation (actual endorsement vs passive mention). Results are scored, compared across providers, and tracked over time.
AI systems give different answers because they were trained on different datasets at different times, use different architectures, and have different knowledge cutoff dates. ChatGPT might know about your latest product launch while Claude's training data predates it. Gemini may have access to more recent web content through Google Search integration. Perplexity cites real-time sources. These differences mean your brand perception varies significantly across platforms, making multi-provider monitoring essential.
Market-specific perception monitoring analyzes how AI perceives your brand in different geographic markets. When users ask "best CRM in France" vs "best CRM," AI responses differ significantly—local competitors, regional features, and market-specific concerns affect recommendations. VectorGap runs localized queries in 12+ markets (France, Germany, UK, Spain, Italy, Netherlands, USA, Canada, Brazil, Mexico, Japan, Australia) to reveal perception gaps that global monitoring misses.
For most brands, weekly audits provide a good balance between visibility and cost. However, the optimal frequency depends on your situation: daily monitoring makes sense during product launches, PR crises, or competitive campaigns; weekly works for active GEO optimization tracking; monthly suits brands with stable AI perception. VectorGap supports scheduled audits (daily, weekly, monthly) that run automatically, eliminating manual effort while ensuring continuous monitoring.
Low perception score? Know exactly WHY.
Perception monitoring tells you what AI says. Our 5-dimension diagnostic tells you why. Technical issues? Entity gaps? Missing source presence? Get actionable fixes, not just scores.
Ready to find out what AI says about your brand?
Free plan includes 3 audits per month. Paid plans include market-specific monitoring.
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