For Enterprise Brands
Know what AI models say about your brand — before your customers do
Millions of people now ask ChatGPT, Gemini and Perplexity about your products, your ethics and your competitors. Geonimo monitors every answer across models and markets, flags sentiment shifts and misinformation, and gives stakeholders reporting they can govern with.
Get your free auditA reputation channel nobody owns
Your comms team monitors press, social and search. Nobody monitors what five AI models tell millions of users about your brand every day — answers that mix outdated facts, competitor framing and occasional outright hallucination, with no alert reaching anyone until a customer or journalist screenshots one.
Misinformation at model scale
When an AI engine repeats a wrong price, a discontinued product line or a years-old controversy as current fact, it does so consistently, to every user who asks. Correcting it requires knowing which sources the model is citing — information your team currently has no way to see.
Brand sprawl across markets and models
You manage multiple brands across dozens of markets, and every AI platform answers differently in every language. Sampling answers manually is hopeless at that scale, and consolidated reporting for legal, comms and regional teams simply does not exist anywhere in your current martech stack.
AI answers are now part of brand equity
For two decades, brand teams managed what page one of Google said. In 2026, the equivalent surface is the answer an AI assistant gives when someone asks 'is this brand trustworthy?', 'which of these companies treats workers better?' or simply 'what should I buy?' — and unlike a results page, that answer carries a tone. AI sentiment about your brand varies by model, by market and by phrasing, it shifts when new sources enter the retrieval set, and it influences customers, candidates, analysts and regulators alike. Treating it as unmonitored is the 2026 version of not having a social listening program in 2012 — except the audience is larger and the answers sound authoritative.
Continuous monitoring, governance-grade reporting
Geonimo queries your brand, product and reputation prompts daily across ChatGPT, Perplexity, Claude, Gemini and Google AI, in every market and language you operate in. Sentiment analysis tracks how each model's tone evolves, and when an answer contains a wrong or damaging claim, citation tracking traces it to the exact sources the model relied on — turning 'the AI is wrong about us' into a concrete remediation list of pages to correct, update or counter.
Every brand in your portfolio gets its own workspace, while weekly reports and white-label exports give comms, legal and regional leadership a consistent view. The MCP server feeds the same data into your existing BI stack, so AI visibility sits next to the brand metrics you already govern.
How enterprise teams roll out Geonimo
Enterprise deployments run on the Scale plan: unlimited brands, users and prompts, a dedicated GEO success manager who runs the program with your team, weekly reporting, white-label reports for internal and agency distribution, and done-for-you content production for the fixes that need shipping. Rollouts typically start with a flagship brand in one market to establish the baseline and the alerting workflow, then expand brand by brand. More than 200 companies — including Adidas, Coinbase and Polar Analytics — already monitor their AI presence with Geonimo, and the 7-day trial is enough to see exactly what the models currently say about you.
What enterprise brands use most
Sentiment Analysis
Not just how often AI mentions you — how it talks about you.
Multi-Model Monitoring
One prompt, every engine — compared side by side.
GEO Reports
Your AI visibility, reported automatically — to your inbox and your clients.
AI Visibility Monitoring
Know exactly how visible your brand is in AI search, every single day.
Frequently asked questions
Can Geonimo actually correct misinformation in AI answers?
You cannot edit a model, but you can change what it retrieves. Geonimo identifies the specific cited sources behind a false or outdated claim, so your team can correct owned pages, update third-party listings or pitch counter-coverage. Because engines like Perplexity and ChatGPT retrieve live sources, fixed answers typically shift within weeks — and daily monitoring confirms when the correction lands.
How does multi-brand, multi-market monitoring work?
Each brand runs as a separate workspace with its own prompts, competitors, sentiment tracking and dashboards, and prompts are tracked per market and language. Scale removes all limits on brands, users and prompts, so a portfolio with twelve brands across thirty markets runs on one contract. Consolidated weekly reporting gives global teams the cross-brand view, while regional teams see only their scope.
What does the Scale plan include beyond the software?
A dedicated GEO success manager who owns your program — onboarding, quarterly planning and escalations — plus weekly reports, white-label reporting for stakeholders and agencies, done-for-you content production, and unlimited prompts, brands and users. It is priced custom based on portfolio size. Most enterprise teams treat it as adding a GEO function without a headcount request, with the platform as the system of record.
Start with a free AI visibility audit
See exactly how ChatGPT, Perplexity, Claude and Google AI talk about your brand today — first insights within 24 hours.
Get your free audit