· 7 min read
How to check your brand's visibility in AI answers (step by step)
To check your brand's visibility in AI answers, you ask the major assistants — ChatGPT, Claude, Gemini, Perplexity — the questions your buyers actually ask, then record whether your brand is mentioned, in what position, with what sentiment, and which sources get cited. Done consistently, this gives you a visibility baseline you can act on.
This guide walks through the manual process first, because doing it once by hand teaches you what the metrics mean. Then we cover the honest limitations — AI answers are probabilistic and models update constantly — and when it makes sense to automate.
Step 1: Build a prompt set that mirrors real buyers
The biggest mistake is asking about yourself ("what is Acme?"). Buyers who already know your name are not the ones you are losing. Sample the prompts where a model chooses between brands:
- Category prompts — "best project management tool for construction teams", "top CRM for small agencies".
- Comparison prompts — "Acme vs Initech, which is better for a 20-person team?"
- Alternative prompts — "alternatives to [market leader]", "cheaper option than [incumbent]".
- Problem prompts — the pain your product solves, phrased with no product words at all: "how do I stop losing leads from missed calls?"
- Local/vertical prompts if they apply — "best commercial roofing company in Austin".
Fifteen to thirty prompts is enough for a first pass. Write them the way people talk to a chatbot — full questions, not keyword fragments.
Step 2: Run every prompt across the major models
Each engine has different knowledge and different retrieval, so check at least four surfaces: ChatGPT (with search enabled), Claude, Gemini, and Perplexity — plus Google's AI Overviews for your highest-value queries. Use fresh chats with no history, log out or use private sessions where possible, and avoid personal accounts with usage history that skews answers toward what you already clicked.
Because answers are sampled from a probability distribution, run each prompt three to five times per model. A brand that appears in four of five runs is genuinely visible; one that appears once in five is noise. This is also why screenshots of a single lucky answer prove nothing.
Step 3: Record the right fields
| Field | Why it matters |
|---|---|
| Mentioned (yes/no) | Your core visibility metric — the share of answers that name you at all |
| Position in answer | First recommendation converts differently than a footnote |
| Sentiment / framing | "Popular but pricey" and "the go-to choice" are different outcomes |
| Cited sources | The pages the engine reads are the pages GEO must influence |
| Competitors named | Their mention rate is your benchmark and their sources are your target list |
A spreadsheet with one row per prompt-model-run is fine. After a full pass you can compute your mention rate (answers naming you ÷ total answers) and citation rate (answers linking your domain ÷ total), per model and overall.
Why manual checks stop scaling
A 25-prompt set, across 4 models, at 4 runs each is 400 chats — per measurement cycle. Models also ship silent updates that reshuffle answers overnight, retrieval results shift with the news cycle, and if you sell in several languages or markets the matrix multiplies again. Most teams do one heroic manual audit, learn a lot, and never repeat it — which means no trend line, and the trend is the metric that matters.
The faster path: automate the baseline
This is exactly what visibility platforms are for. Peakmark's free check runs a scored audit of how the major AI models talk about your brand — mentions, position, competitors, and sources — and emails you the report in minutes, no account required. From there, continuous monitoring reruns your prompt set on a schedule, tracks the trend by model and market, and turns the gaps into a prioritized action plan.
Whichever route you take, do the first measurement this week. Every GEO decision downstream — content, Reddit, PR, technical fixes — is guesswork until you know where you stand. If you want the full context first, start with what GEO is and how it works.
Frequently asked questions
- How often should I check my AI visibility?
- Monthly at minimum; weekly if AI answers are a meaningful acquisition channel for you. Models and retrieval both shift fast enough that a quarterly cadence misses the changes you need to react to.
- Which AI model matters most?
- Weight them by your audience. ChatGPT has the largest consumer reach — it passed 900M weekly users in early 2026 — while Perplexity skews to research-heavy users and Google's AI Overviews intercept classic search queries. Check all of them; invest where your buyers are.
- My brand never appears. How bad is it?
- It is a starting point, not a verdict. New and niche brands often start near zero. The fix is systematic GEO work: extractable content, entity consistency, and third-party mentions in the sources models cite. Absence today is also your competitor's vulnerability tomorrow.
- Do I need to check in every language I sell in?
- Yes — answers differ significantly by language, because models retrieve from different sources per market. If you sell in Spanish and French markets, an English-only audit tells you little about what buyers there actually see.
See where your brand stands in AI answers
Run the free Peakmark check — a scored report on how ChatGPT, Claude, Gemini, and Perplexity talk about your brand, in minutes.
Run the free check