Platform
AI Visibility
Track where your brand appears in AI answers across engines, prompts, competitors, and buyer questions.
See it inside Findable
A live look at the Visibility module — score, engine breakdown, mentions and citations side by side.
What it is
AI Visibility measures how often your brand is mentioned, cited, or recommended by large language models when people ask questions about your category. Instead of ranking on a page of blue links, your brand now needs to surface inside the answer itself — across ChatGPT, Claude, Gemini, and Perplexity. Visibility quantifies that presence.
Why it matters for AI search
Buyers increasingly start their research inside AI assistants. If the model doesn't mention you when someone asks for the best provider, you're invisible at the moment of decision. Visibility tells you whether AI engines know who you are, what you do, and when to recommend you — and how that compares to the brands answering those questions today.
The shift
"AI does not rank pages. It recommends brands."
How Findable helps
Findable runs your brand and category through real prompts on multiple AI engines, captures every answer, and detects mentions, citations, and recommendations. We aggregate the results into a visibility score, track it over time, and break it down by engine, prompt, funnel stage, and competitor — so you can see exactly where you appear, where you don't, and what's moving.
From AI answers to decisions
Visibility is a loop, not a one-time check.
- 1Run promptsReal category prompts executed across every covered engine.
- 2Capture answersEvery answer, mention and citation is stored verbatim.
- 3Measure visibilityMentions, citations and recommendations roll up into one score.
- 4Track movementSee what moved, where, and why — across engines and prompts.
Key capabilities
Visibility changes by engine
Each AI engine sees the world differently. Findable surfaces per-engine deltas so you can see when one model starts recommending you while another stops — and act on it before it becomes a trend.
Visibility changes over time
A single score is a snapshot. Findable plots visibility across runs so you can connect movement to launches, content, and authority work — and prove what actually moved the needle.
What this allows teams to do
- •Guess which engines mention you
- •Assume your category prompts surface you
- •React to anecdotes
- •Talk about AI search
- •Measure mentions per engine
- •Run real category prompts every week
- •Track visibility deltas across runs
- •Show AI search results to the board
What teams find
Anonymous examples from real Findable workspaces.
One SaaS brand discovered that two engines recommended it for half the buying-stage prompts — but a third never mentioned it at all.
One D2C brand grew visibility from 38 to 61 in six weeks by closing the source gaps surfaced by Findable.
One B2B team identified 47 high-intent prompts where competitors were recommended instead of them.
What you can see inside Findable
- Visibility score across engines
- Mentions and citation counts
- Per-prompt coverage and rankings
- Visibility by AI engine
- Competitor visibility comparison
- Visibility trends over time
- Reasons visibility differs across models
Methodology
The AI Visibility Score combines three weighted components measured across a representative prompt set for your category: Presence (60%) — whether your brand appears at all, Coverage (25%) — the share of prompts where you show up, and Sentiment (15%) — how positively you're framed. Findable re-runs the prompt set on a configured cadence so trends reflect real shifts in AI behavior, not single-run noise.
Findable analyzes visibility patterns across multiple AI systems, prompt categories, industries, competitors, and citation sources to identify how brands are discovered, recommended, and referenced in AI-generated answers.
Examples of AI visibility analysis
Illustrative scenarios that show how AI assistants surface different sources for the same question across industries. These are examples, not actual customer data.
- •ChatGPT may recommend Mayo Clinic.
- •Gemini may cite NIH.
- •Claude may rely on peer-reviewed sources.
- •Perplexity may aggregate publisher references.
- •ChatGPT may cite review publishers.
- •Gemini may use retailer and publisher sources.
- •Perplexity may surface editorial recommendations.
- •AI engines may recommend schools based on citations, mentions, and authority signals.
How AI engines evaluate visibility
Modern AI assistants do not rank pages the way classic search engines do. They evaluate brands and entities using a combination of signals drawn from their training data, retrieval index, and live web sources:
- Mention frequencyHow often a brand appears in AI-generated answers when users ask questions related to its category. A higher mention frequency means the brand is part of the conversation.
- Citation frequencyHow often AI systems explicitly reference sources — such as websites, articles, or databases — that are associated with a brand. Citations signal that the AI considers the brand's content worth referencing.
- Recommendation shareHow frequently a brand is explicitly recommended compared to competitors when buyers ask for the best option in a category. It reflects whether the AI presents the brand as a top choice.
- Source authorityHow authoritative the sources discussing a brand are. When high-authority domains mention or cite a brand, AI systems are more likely to treat that brand as trustworthy and relevant.
- Entity confidenceHow strongly AI systems associate a brand with a specific category, product, or topic. High entity confidence means the AI understands what the brand does and does not confuse it with generic terms or unrelated entities.
- Competitive overlapHow frequently brands appear together in AI recommendations. It reveals which alternatives the AI considers comparable and which decision spaces the brand is competing in.
Findable measures each of these signals across supported AI engines so teams can see what is driving — or limiting — their visibility.
Related concepts
Foundational terms used throughout AI visibility analysis.
Underlying research
Measured across millions of AI answer signals.
Primary AI research
Findable generates prompts and analyzes AI responses directly to measure how brands are mentioned, cited, and recommended across AI systems. This allows visibility to be measured from original AI answers rather than relying exclusively on aggregated datasets.
Related platform areas
- Market CoverageSee which buyer questions, topics, and decision spaces your brand owns, misses, or loses to competitors.
- SourcesUnderstand which third-party and owned sources shape AI answers about your brand and competitors.
- CompetitorsSee which brands AI recommends instead of you and why they win visibility across prompts, engines, and sources.
Learn more
Deeper guides on the concepts behind AI visibility.
AI visibility challenges vary across industries. The examples below illustrate how different organizations use AI visibility data to understand how they are recommended and cited by AI systems.
Teams using AI visibility monitoring
Anonymized examples of how teams in different industries use AI visibility analysis.
- Executive educationExecutive education teams use AI visibility monitoring to understand how schools are recommended across AI assistants.
- HealthcareHealthcare teams use AI visibility monitoring to see which clinics and providers are surfaced for patient questions.
- RetailRetail teams use AI visibility monitoring to track which retailers AI assistants recommend for category searches.
- Consumer brandsConsumer brand teams use AI visibility monitoring to see which products are cited by AI assistants for buyer questions.
- SaaSSaaS teams use AI visibility monitoring to understand which platforms AI assistants recommend for evaluation queries.
Compare AI visibility platforms
Side-by-side comparisons with other AI visibility and SEO tools.
Related industry research
External references on AI search and generative answer engines.
External links open in a new tab.
Related guides
Frequently asked questions
See your AI visibility in minutes
Run a free scan to see where AI engines mention you today.
Start free