Generative Brand Tracker
Measure and improve how AI recommends your brand.
Discovery has moved from ten blue links to one AI answer. The Generative Brand Tracker measures how ChatGPT, Gemini and the other leading AI assistants talk about your brand and your competitors — per country, line of business and topic — reveals the sources that shape those answers, and turns it all into a prioritised plan for generative engine optimisation (GEO).
- Visibility, rank and sentiment in AI answers
- Per country, business line and segment
- Real demand crossed with your position
AI answers are the new shelf. Measure your share of it.
When people ask an AI assistant which bank, insurer or running shoe to choose, the answer names a handful of brands. The brands cited get the demand; the brands missing don't — and most teams have no idea where they stand, or why.
Ten blue links.
Visibility came from SEO and paid placement. Customers compared the options themselves, and every step of the journey was visible.
One answer. No second chance.
The assistant condenses the web into a single recommendation. The shelf shrinks to a sentence, and your brand is in it or it isn't.
Which health insurance should I choose as a senior?For seniors, I would recommend your brand: clear hearing-aid cover and strong reviews. Competitor A is comparable but less transparent on reimbursements.
Know where you appear — and where you don't
How often you appear in AI answers and how high you rank, combined into one awareness score for you and each competitor.
Understand how AI describes you
Sentiment and themes across the dimensions your category is judged on: offer, price, quality, service, reputation.
See what shapes the answers
The websites, media, forums and reviews AI assistants draw on when they talk about your brand, and how that evolves.
From measurement to action.
- 01
Define the matrix
Choose your brands and competitors, the dimensions that matter, lines of business and their weights, countries, languages and AI assistants.
- 02
Run the measurement
The tracker asks the leading AI assistants the questions your customers ask, at scale, and records rankings, sentiment and cited sources.
- 03
Read the dashboards
Global and country dashboards show your awareness score, the podium, performance by dimension, sentiment and sources — against each competitor.
- 04
Trace the sources
Find the websites, media, forums and reviews the assistants rely on, and check how AI crawlers read your own site: this explains why AI says what it says.
- 05
Act where it counts
Demand Radar shows where demand is high and your position weak. Generate action plans, audits and content — landing pages, FAQs, schema markup — from the platform.
Everything you need for generative engine optimisation.
Two awareness scores
LLM Awareness combines how often you appear with how high you rank; LLM Positive Awareness weights it by the share of positive mentions.
Multi-market governance
Compare countries, languages, business lines and segments in one framework, with the same metrics for every team.
Source analysis
Benchmark the websites and content that feed AI answers in your category, and find the sources worth earning.
Demand Radar
Real search demand, grouped into themes and rewritten as the questions people actually ask an AI — then crossed with your position: attack, defend, maintain or watch.
Technical and query audits
Check whether AI crawlers can access your site, test how specific questions are answered, and get page-level optimisation recommendations.
Reports and action plans
Executive and brand summaries, sentiment themes, rankings and full Excel exports, plus structured action plans generated from your dashboard data.
What goes in, what comes out.
What goes in
What comes out
Where teams use the Brand Tracker.
AI visibility tracking
Regular measurement of how the leading AI systems rank and describe your brand vs competitors, per country and business line.
Competitive benchmark
See which competitors AI assistants favour on each dimension and in each market — and which sources give them the edge.
Category demand mapping
Demand Radar shows what people actually ask AIs about your category, in their own words, per market.
GEO action plan & content
Prioritised actions from demand-vs-position gaps; landing pages, FAQs and schema generated and reviewed in one place.
Reputation in AI answers
Track sentiment and the sources shaping it; catch a narrative drifting in AI answers before it drifts in the press.
Consideration-to-conversion gap
Compare where AIs recommend you in general answers vs where shopping agents actually pick you.
AI visibility is the new category share.
The brands AI assistants recommend compound demand, the way brands once did through media and search. The Generative Brand Tracker turns AI perception into a measurable asset your teams can manage, market by market, and defend in the boardroom.
Part of one connected platform.
The Brand Tracker shares the platform's sign-in, governance and budgets — and its findings flow into the other applications.
From dashboard to deliverable
AdaptivAgent is built into the Brand Tracker: turn findings into briefs, content and monthly brand reviews.
Explore AdaptivAgent Agentic Commerce LabFrom recommended to chosen
Test how AI shopping agents choose in your category, and whether they pick you when it is time to buy.
Explore the Agentic Commerce Lab GroupChatTest messages before you publish
Sharpen the claims and proof points of your new content with synthetic consumer and expert panels.
Explore GroupChat- Hosted in the EU
- GDPR by default
- Single sign-on & role-based access
- Every AI call in a spend ledger
Questions, answered.
What is the Generative Brand Tracker?
It is AdaptivAI's brand intelligence application. It measures how leading AI assistants such as ChatGPT and Gemini mention, rank and describe your brand and your competitors, which sources shape those answers, and what to do to improve your position.
What is generative engine optimisation (GEO)?
GEO is the practice of improving how a brand appears in the answers of generative AI assistants — the counterpart of SEO for AI. The Brand Tracker provides the measurement, the diagnosis and the action plan.
How is AI visibility measured?
LLM Awareness combines how often your brand appears in answers with its average rank. LLM Positive Awareness multiplies that score by the share of positive mentions, so visibility and perception are read together.
Which AI assistants are tracked?
The leading AI assistants, including ChatGPT and Gemini. The set of models evolves with the market.
How often is the measurement updated?
As often as you need: the frequency is set on request. We recommend a monthly measurement, to follow how AI answers evolve and see the effect of your actions.
What is Demand Radar?
Demand Radar turns real search demand into the questions people ask AI assistants, groups them into themes and crosses them with your position. High demand and a weak position: act first.
Why don't the tracked questions mention my brand?
Because the goal is to measure spontaneous recommendations: the answers show which brands an AI chooses on its own when someone asks about your category.
See what AI really says about your brand.
A 30-minute live session, tailored to your industry, your brands and your team. We show the intelligence domains most relevant to you with real scenarios from your category. No commitment required.
We learn about your team, workflows and strategic challenges to tailor the session.
A walkthrough of the market, brand, commerce, data and orchestration intelligences that matter to you — on your use cases.
If there is a fit, a scoped pilot with clear success metrics — evaluate before committing.
Prefer email? Write to contact@adaptivai.net.