Find out if ChatGPT, Perplexity, and Claude know who you are — and whether they'd recommend you.
Querying AI systems about your brand...
Simulating ChatGPT, Perplexity & Claude responses
When someone asks ChatGPT “what’s a good [your industry] company?” — does your brand come up? If not, you’re invisible to a fast-growing segment of buyers who never open a search results page.
AI assistants now handle billions of queries per week. Unlike Google, they don’t show a list of links — they name specific brands. The companies that get named are building compounding visibility and trust. The ones that don’t are losing ground to competitors, often without knowing it.
This tool simulates how AI systems actually respond to queries about your brand today. It scores your AI presence across four dimensions and tells you exactly what to fix.
Does AI know who you are? This measures whether AI systems have enough information about your brand to describe it accurately when asked directly. Low-recognition brands are typically under-represented in online discussions, third-party directories, press coverage, and structured data — the sources AI systems learn from.
Are you mentioned when AI recommends options in your category? This is the most commercially important signal — it’s what determines whether potential customers hear about you during AI-assisted research. Brands that appear here have strong topical authority and citation patterns within their industry.
How does AI describe you when it does know you? Quality measures the richness, accuracy, and sentiment of AI-generated descriptions. A brand with low reputation quality is either described vaguely (“a company that offers services”) or with missing key details — which fails to differentiate you from alternatives.
When asked directly, does AI recommend your brand with confidence? This combines recognition, reputation, and category presence into the most direct measure of AI-driven commercial influence. Top-scoring brands are recommended without caveats; lower-scoring brands come with uncertainty or not at all.
Getting AI systems to recognize and recommend your brand is a content and authority problem, not a technical one. The brands that AI consistently recommends share common traits: they’re referenced across many authoritative third-party sources, they have clear and consistent descriptions of what they do, and they’re active in the conversations their industry has online.
The most effective improvements combine structured data (telling AI exactly who you are), content depth (giving AI enough material to describe you accurately), and citation building (getting mentioned in the places AI systems trust). If you need expert help, our AEO agency Los Angeles has the team and the tools to get this right.
75–100 (Strong Presence): AI systems recognize and recommend your brand with confidence. Focus on maintaining authority and expanding into new topic areas.
50–74 (Growing Presence): AI knows who you are but inconsistently recommends you. Target category presence and reputation quality for the biggest gains.
25–49 (Weak Presence): Limited AI visibility. Brand recognition is the priority — focus on getting your brand mentioned in authoritative sources AI systems trust.
0–24 (Not Visible): AI systems have little or no information about your brand. Start with the foundations: directory listings, press mentions, structured data, and Wikipedia-style clarity about what you do and who you serve.
We use GPT-5.2 to simulate responses, which reflects the same knowledge base that many AI assistants draw from. The scores are a reliable proxy for your actual AI visibility — brands that score low here are typically invisible in real AI-assistant responses too. That said, different AI systems have different training data, so treat the score as a directional benchmark rather than a definitive measurement.
Start with the high-priority recommendations in your results. For most low-scoring brands, the highest-leverage actions are: getting mentioned in authoritative industry publications, creating a detailed Wikipedia or Wikidata entry, expanding your Google Business Profile, and adding structured data (schema.org) to your website that clearly describes who you are and what you do.
AI systems update their knowledge over time as new content is published and indexed. We recommend re-running this check every 4–8 weeks after making improvements so you can track progress. Significant changes — like major press coverage, new case studies, or a Wikipedia article — can shift your score meaningfully within a few months.
Yes — just enter their brand name and industry. Understanding how AI perceives your competitors can reveal gaps in your own strategy and help you identify the content and citation approaches that are working in your space.
Yes. Our team specializes in AI search optimization and brand visibility for businesses that want expert help rather than DIY fixes. Contact us to discuss your results.