AI PROMPT TESTER
Simulate exactly how AI search engines perceive your brand. Type your brand name and site URL to run live audits on how ChatGPT, Claude, and Gemini respond to brand inquiries.
Configure Audit
Live EmulatorConfigure targets to evaluate brand presence
inside LLM answer spaces.
WHY CONVERSATIONAL SEARCH PERCEPTION MATTERS
of users trust AI suggestions over traditional Google search cards (McKinsey, 2025).
increase in purchase intent when brands are positively referenced in chat responses.
SaaS brand citations in ChatGPT category lookups, representing low overall moat values.
FREQUENTLY ASKED
How does the AI Prompt Tester work?
The AI Prompt Tester sends your brand name and URL to our backend, which uses Google Vertex AI (Gemini 1.5 Flash) to simulate how three major AI engines — ChatGPT, Claude, and Gemini — would respond to a user asking about your brand. Each simulation uses a distinct persona prompt to replicate each engine's distinct communication style.
Why do ChatGPT, Claude, and Gemini say different things about my brand?
Each AI model was trained on different datasets with different cutoff dates and applies different weighting to sources. ChatGPT relies on OpenAI's training corpus, Claude uses Anthropic's dataset with emphasis on nuance and safety, while Gemini leverages Google's Search index. Brand perception varies across all three based on which sources each model has indexed.
What should I do if AI models describe my brand inaccurately?
If AI engines misrepresent your brand, the fix requires Generative Engine Optimization (GEO). Specifically: (1) publish highly structured, fact-dense content about your brand on authoritative domains; (2) ensure your organization schema markup is implemented on your website; (3) build citations from sources that LLMs heavily weight, such as Wikipedia, Crunchbase, G2, and major press outlets.
How does AI perceive my competitors?
AI engines build entity maps showing how closely competitors are linked to specific solution keywords. If your competitors are mentioned in review roundups, lists, and wiki nodes, the AI is highly likely to recommend them over your brand during category retrieval.
What is brand share-of-voice in AI search?
Brand share-of-voice (SOV) measures the percentage of generated recommendation text that cites your brand versus competitors. Unlike traditional ranking, AI search lists 1-3 authority options in natural text. Having a high SOV ensures you are the primary option recommended to users.