AI Brand Audit
AI models form opinions about your brand based on their training data. An AI brand audit reveals exactly what ChatGPT, Claude, and Perplexity believe about your company — the good, the outdated, and the dangerously inaccurate.
Your brand's AI reputation matters more than ever. When customers ask ChatGPT "What's the best CRM for startups?" or Claude "Compare project management tools," the AI draws on its perception of your brand — shaped by training data, web crawls, and structured knowledge. An AI brand audit from LLMRanky tests this perception across all three major AI models, revealing how you're described, where you're mentioned, and what's factually wrong.
What AI says about you matters more than what Google shows
Traditional SEO audits check your search rankings. An AI brand audit goes deeper: it tests what AI actually believes about your company. Does it know your product lineup? Does it cite you for the right expertise? Does it confuse you with a competitor?
LLMRanky generates targeted questions about your industry and brand, sends them to ChatGPT, Claude, and Perplexity, then analyzes every response for accuracy, sentiment, competitor mentions, and factual errors.
The result is a detailed perception report: how each AI model perceives your brand positioning, where your messaging lands correctly, and where AI has built a distorted view that actively hurts your business.
Guessing vs Knowing Your AI Reputation
You can hope AI says the right things about your brand — or you can verify it.
Blind trust in AI accuracy
You assume AI models describe your brand correctly. But training data is months old, competitor mentions dilute your positioning, and factual inaccuracies go uncorrected. You lose deals you never knew about because AI recommended a competitor instead.
Without ongoing audits, you never know if AI perception is improving or degrading after your optimizations. You publish content into a vacuum and hope for the best.
Verified perception, targeted fixes
You see exactly what each AI says about you, identify factual errors, track sentiment trends, and get a prioritized action plan. Fix the highest-impact inaccuracies first. Monitor improvement with each rescan.
Rescan after each optimization to measure the direct impact on AI perception. Watch your accuracy score improve, sentiment shift from neutral to positive, and competitor citations decrease as your own content earns AI trust.
Per-model perception reveals blind spots
ChatGPT might know your brand well but describe you with outdated product info. Claude might be accurate but never recommend you proactively. Perplexity might cite your competitors more prominently.
The AI brand audit shows you these model-specific blind spots so you can address them. Different models respond to different optimization strategies.
Structured data improvements boost Claude. Fresh web content improves ChatGPT. Press coverage and citations lift Perplexity. Your audit tells you which lever to pull for each model.
How the AI Brand Audit Works
A systematic evaluation of your brand's AI presence across ChatGPT, Claude, and Perplexity — from data collection to actionable recommendations.
1. Website analysis & question generation
We crawl your site, identify your brand profile, products, and competitive landscape. Then we generate 30–100 targeted questions that test how AI perceives your brand.
2. Multi-model testing
Every question is sent to ChatGPT, Claude, and Perplexity in both web search and native modes. Each response is captured and analyzed.
3. Perception scoring
Responses are evaluated for accuracy, sentiment, brand mention position, competitor presence, and factual consistency across models.
4. Action plan generation
You receive a prioritized roadmap: which inaccuracies to fix first, which models to target, and which GEO optimizations will have the biggest impact on your AI reputation.
Audit Your Brand's AI Reputation
Find out what ChatGPT, Claude, and Perplexity really think about your brand. Free scan, results in 2 minutes.
Start Brand Audit →