Famewise · AI visibility for food & beverage brands
Does AI recommend your food & beverage brand?
Shoppers now ask ChatGPT, Claude, and Gemini what to eat and drink — the best pizza chain, the healthiest yogurt, which energy drink, where to get coffee. Famewise asks those AI assistants the questions your consumers ask — with and without web search — then measures whether your brand shows up, where it ranks, how it's framed, and which sources get cited. Every day, across 35 food & beverage categories — from pizza chains to protein bars.
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Today's most-visible food & beverage brands in AI answers
Live from the latest Famewise run — every food & beverage brand named in AI answers across every category we track, tracked or organic, ranked by how visible each one is in the category it shows up in most.
Visibility counts answers, while share of mentions counts brand mentions. That is why a brand can be named in a large share of its own category's AI answers and still hold only a small slice of all the mentions on this board.
- Visibility
- How often this brand comes up. The share of the AI answers in its strongest category that name the brand at least once.
- Share of mentions
- How much of the conversation this brand owns across every category we track. Every brand named in every answer counts as one mention, and this is the brand's slice of that total. Because AI answers usually name several brands at once, these percentages add up to well under 100%.
- Bar
- Relative scale only. The top brand always fills the width.
Read the full report — The State of AI Brand Visibility in Food & Beverage →
How Famewise works
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Generate consumer questions
For every tracked category — from pizza chains to yogurt to energy drinks — Famewise generates the questions real food and beverage shoppers ask AI: the "best", "top", and "which" questions where recommendations (and brands) surface. Questions are brand-blind, so the models are never led.
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Ask the latest models
Each question runs against current OpenAI GPT, Anthropic Claude, and Google Gemini models — twice: once with web search, once without — so you see both what the model believes and what the live web adds.
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Extract the signal
An extraction model reads every answer and records whether your brand appeared, the position of its first mention, the sentiment toward it, every competitor named alongside it, and each source the answer cited.
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Snapshot, daily
Every run is a point-in-time snapshot. Dashboards always show the latest run — visibility, share of voice, sentiment, sources — with deltas against the previous run, so movement is impossible to miss.
Seven views, one question: do AI assistants recommend you?
Overview
Every KPI for the latest run on one screen: visibility rate, top brand, biggest mover, average sentiment, and web-search lift — each with run-over-run deltas.
Share of voice
Your share of all brand mentions for the questions that matter — and exactly which competitors take the rest.
Sentiment
Not just whether AI mentions you — how. The positive / neutral / negative / mixed mix, plus an average score from −1 to +1.
Sources
The domains AI cites when it answers in your category — your earned-media hit list for generative engine optimization.
Answers
Every raw answer, searchable: the exact question, the full model response, extracted mentions, and citations.
Models
GPT vs Claude vs Gemini, side by side: which models already know your brand, and which leave you out.
Web search
The same question with search on and off — how much live retrieval lifts (or hurts) your visibility.
Explore AI visibility by food & beverage category & brand
AI visibility by category
- AI visibility for Baking Ingredients
- AI visibility for Beer
- AI visibility for Candy & Gummies
- AI visibility for Casual Dining Chains
- AI visibility for Cereal & Granola
- AI visibility for Cheese
- AI visibility for Chips
- AI visibility for Chocolate
- AI visibility for Coffee Chains
- AI visibility for Condiments & Sauces
- AI visibility for Cooking Oils
- AI visibility for Crackers
Frequently asked questions
What is AI share of voice?
AI share of voice is the percentage of brand mentions your brand captures in AI assistant answers across a set of category questions. If AI assistants name food and beverage brands 200 times across a question set and 30 of those mentions are your brand, your AI share of voice is 15%. Famewise computes it from real answers generated by ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google) — not from web rankings.
Why does AI brand visibility matter for food and beverage brands?
Shoppers increasingly ask ChatGPT, Claude, and Gemini what to buy, cook, and drink — “best Greek yogurt”, “best pizza chain near me”, “healthiest energy drink”, “top oat milk brands” — and act on the brands those assistants name. For a food or beverage brand, AI visibility is the new shelf placement: if an assistant doesn't name you when it answers your category, you're invisible at the moment of decision. Famewise measures exactly that — how often, and how favorably, AI assistants name your brand versus competitors.
How does Famewise measure brand visibility in ChatGPT, Claude, and Gemini?
Famewise generates category-level consumer questions for each tracked category — 35 food & beverage categories, from burger, pizza, and coffee chains to protein bars, sparkling water, yogurt, energy drinks, and hard seltzer — asks them to current OpenAI, Anthropic, and Google models, each question with web search on and off, then an extraction model records every brand named in every answer: the position of its first mention, the sentiment toward it, and each cited source. Every scheduled run is stored as a point-in-time snapshot, so visibility is comparable run over run.
Why do AI answers differ with web search on vs off?
Without web search, a model answers from its training data — what it remembers about your category, which can be months old. With web search, it retrieves live pages and often reshuffles its recommendations around what it just read, citing sources. Famewise asks every question both ways and reports the web-search lift: the visibility difference between the two modes. A big positive lift means your current web presence is doing the work; a negative one means live retrieval surfaces competitors instead.
Which AI models does Famewise track?
Famewise tracks current production models from OpenAI (GPT), Anthropic (Claude), and Google (Gemini), each queried with and without web search. The model list refreshes as providers ship new models, and every stored answer records the exact model version that produced it.
What is Generative Engine Optimization (GEO), and how does Famewise help?
Generative Engine Optimization (GEO) is the practice of improving how often — and how favorably — a brand appears in AI-generated answers; it is the AI-era counterpart of SEO. Famewise is GEO's measurement layer: which questions surface you, where you rank, how you are framed, and, through the Sources view, which domains the models actually cite — the places where coverage changes AI answers.
How often is the data updated?
Famewise runs on a schedule — typically daily. Each run re-asks the full matrix of category × question × model × search mode and stores a snapshot; dashboards always show the latest run, with deltas against the previous one.
Can I see competitors I don't track?
Yes. Famewise extracts every brand named in every answer, so leaderboards and share-of-voice views include organically surfaced competitors — not just the brands you registered.
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