AI Brand Visibility Score
See how ChatGPT, Perplexity, Gemini, Claude and Grok rate your brand - 0-100 score, full breakdown. No domain needed.
What is an AI brand visibility score?
An AI brand visibility score measures how well AI engines recognise your brand by name - not by domain or URL. When buyers ask ChatGPT, Perplexity, Gemini, Claude or Grok for the best option in your category, engines draw on everything they know about your brand: training data, live web citations, review sites, and comparison pages. CitedSpy queries five engines live with the real prompts where you should appear, then returns a single 0-100 score and a three-lever breakdown. No domain required.
AI engines learn about brands through two distinct channels. The first is training data - the vast text corpus ingested before a model's knowledge cutoff. If your brand is discussed across credible sources, published reviews, comparison pages, Wikipedia, G2 or Capterra, the model develops an internal representation of who you are and what you do. The second channel is live retrieval: ChatGPT with web search, Perplexity, and search-augmented Gemini issue real-time queries before answering, pulling fresh mentions and citations. An AI brand visibility score measures how you perform across both channels - by brand name alone, without requiring a domain.
That distinction matters because brand-name recognition and domain authority are separate measures that frequently diverge. A brand with strong SEO and a high-authority domain can still score low here if few third-party sources discuss it by name. Conversely, a well-reviewed brand that is heavily mentioned across authoritative comparison content can score high even if its own website is thin. Traditional search measures how well Google can crawl and rank your pages. An AI brand visibility score measures how deeply your brand is embedded in the information landscape AI engines draw from when they answer buyer questions - a fundamentally different signal.
CitedSpy scores AI brand visibility across the same three levers that drive every GEO metric. Presence is the share of real buyer prompts where at least one engine names your brand - the biggest lever, since appearing at all is most of the battle. Rank quality captures where you land when you are named: first is worth far more than fifth, since AI answers typically lead with the strongest recommendation. Sentiment measures how positively engines describe you, scaled by presence. Together they produce one 0-100 score, with each lever shown so you know exactly which to fix.
Score your brand in four steps
Enter your brand name
Type your brand as buyers search for it. No domain needed - the score works on brand name recognition alone, which is exactly what AI engines use when they do not have a URL to retrieve or when they rely on training data rather than live web search.
We map your competitive set
CitedSpy uses your brand name to identify your category, find the roughly five competitors engines tend to recommend in your space, and select the real buyer prompts where you should appear in the top results - all automatically.
Five engines are scored live
ChatGPT, Perplexity, Gemini, Claude and Grok are each sent the real buyer prompts. We read every answer for who gets named, in what order, and with what sentiment - live, not from a cached snapshot.
Read your AI brand score
You receive a 0-100 score with the three levers behind it - brand presence, rank quality and sentiment - a per-engine spread, and the single fix that would lift your number most.
How to read your AI brand score
Start with the headline number. Below about 15, AI engines in your category rarely mention you by name - they hand buyers to competitors instead. Around 40-70 is partial recognition: engines know you and surface you sometimes, but rivals crowd you out on several prompts or engines. Above 70 is strong brand recognition - engines reliably place your brand near the top of category answers. But the number alone does not tell you why, which is what the per-lever breakdown reveals.
The per-engine spread is where the real intelligence sits. It is common to score well on Perplexity and ChatGPT with search (which lean on live web mentions) while scoring lower on an engine relying primarily on training data - or vice versa. A strong score on training-data-heavy engines signals your brand is embedded in the authoritative sources those models ingested during pretraining: comparison posts, directories, review sites, Wikipedia. A strong score on live-retrieval engines means fresh, high-authority content cites you today. Knowing which engines you win and which you lose narrows the fix - more citation-worthy content for live-retrieval gaps, or deeper third-party coverage for training-data gaps.
What to remember
- An AI brand visibility score measures how well AI engines recognise and recommend your brand by name - independently of your domain, URL, or search ranking.
- AI engines learn about brands from two sources: training data ingested before a knowledge cutoff, and live web retrieval at query time - so domain authority and brand name recognition are separate measures.
- Presence is the biggest lever: being named in AI answers at all matters far more than the order you appear in or the tone used to describe you.
- A low brand score does not mean bad SEO - it means few authoritative third-party sources discuss your brand by name in the content AI engines draw on.
- Brand name recognition is driven by comparison pages, review sites, directories and cited press - the same sources that make buyers trust you before they visit your site.
Our methodology
A brand score runs in two phases. First, CitedSpy identifies your competitive context from your brand name alone: live web search surfaces your category, the roughly five competitors engines tend to recommend in your space, and a set of natural buyer questions where your brand should rank near the top. No domain is fetched - the starting point is brand name recognition, which is exactly what the score measures.
Second, every prompt is sent to each available engine - ChatGPT, Perplexity, Gemini, Claude and Grok - using their live web-search tools where supported. We read each answer for whether your brand is named, in what order, and how positively. From that we compute three sub-scores - presence (weighted 60), rank quality (25) and sentiment (15, scaled by presence) - and combine them into a single 0-100 figure. Sentiment can never inflate the score for a brand engines do not mention.
The score rewards genuinely showing up and ranking high over a bare name-drop, and it only counts engines we actually reached - a slow engine is reported as not reached, so it cannot silently deflate your number. Results are cached for 24 hours so a repeat check is instant. This is the same measurement engine behind CitedSpy's paid tracking: the free tool scores you once, the product re-scores on a schedule and shows the trend.
AI Brand Visibility Score, answered
Related tools & reading
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