Know Exactly How AI Engines See Your Brand
You can't manage what you don't measure, and right now almost nobody measures AI visibility. GEO Analytics turns 'what does ChatGPT say about us?' from a nervous one-off experiment into a tracked, trended metric: citations, share of voice and sentiment across every engine your buyers use.
Key Facts
- Focus
- ai search visibility analytics
- Category
- Visibility & Discovery
- Defined outputs
- 6 deliverables
- Regions served
- India · United States · United Kingdom · UAE · Singapore
- Last reviewed
- 2026-09-10
AI Visibility Is a Black Box, and Decisions Are Being Made In It
Buyers are forming shortlists inside AI conversations you never see. Your executives occasionally paste a prompt into ChatGPT, react to whatever it says that day, and redirect strategy off a sample size of one. Meanwhile the actual distribution of answers across engines, prompts, phrasings and time goes completely unmeasured.
One-prompt panic: a single bad ChatGPT answer in a board meeting triggers a fire drill, while systematic invisibility goes unnoticed for quarters.
No competitive read: you don't know your share of AI answers versus competitors, so you can't tell if you're winning or losing the new surface.
Unattributable effort: content and PR investments meant to influence AI answers ship with no instrument to detect whether they worked.
From Anecdote to Instrument
Prompt corpus construction
We build a representative corpus of the questions your buyers actually ask: category queries, comparison prompts, problem-framed questions, all validated against your sales conversations and search data rather than guessed.
Multi-engine measurement
The corpus runs against ChatGPT, Perplexity, Gemini and Google AI Overviews on a fixed cadence, capturing citations, brand mentions, ranking within answers, and the language used to describe you and every named competitor.
Share-of-voice and sentiment scoring
Raw answers become metrics: citation share against competitors, sentiment of your descriptions, narrative drift over time, dashboarded so a marketing leader can read the trend in thirty seconds.
Closed loop with GEO execution
Analytics without action is trivia. Each reporting cycle produces a ranked list of visibility gaps (prompts where you're absent or misdescribed) that feeds directly into the AEO/GEO content and corroboration roadmap.
What This Changes for Your Business
A metric leadership can own
AI share of voice becomes a KPI with a baseline, a trend and an owner, reportable to the board like organic traffic or NPS.
Early warning system
Narrative shifts and competitor gains show up in the data within weeks, while there's still time to respond.
Proof your GEO spend works
Every content and corroboration investment is checked against citation movement, so budget goes to what demonstrably moves answers.
Deliverables
- Buyer-validated prompt corpus for your category
- Scheduled multi-engine answer capture across ChatGPT, Perplexity, Gemini and AI Overviews
- Share-of-voice, citation and sentiment dashboard with competitor benchmarks
- Monthly visibility gap report ranked by revenue relevance
- Alerting on significant narrative or citation shifts
- Integration into your existing reporting stack
Is This You?
Strong fit
- Brands actively investing in content, PR or GEO who need to know if it's moving AI answers
- Competitive categories where AI-assisted evaluation is already shaping shortlists
- Marketing leaders who want AI visibility as a managed KPI rather than an occasional experiment
Not a fit yet
- Companies with no intention of acting on the findings, because measurement without execution is expensive trivia
- Categories with negligible AI research behavior, and we'll show you the baseline and tell you honestly
- Anyone expecting the dashboard itself to improve visibility, since that's the GEO practice, and the two work best together
Get Your AI Visibility Baseline
One call, one baseline: we'll run a starter corpus against the major engines and show you your real citation share, including the competitors currently winning answers you should own.
Book a 30-Min Strategy CallSend a Request
We'll be in touch!
Expect a call within 1 business day.
Common Questions
What is GEO Analytics?
GEO Analytics is Kirality Labs' system for measuring how AI engines such as ChatGPT, Perplexity and Google AI Overviews describe a brand: citations, share of voice and sentiment, tracked as a trended metric instead of guessed at from a single prompt.
How is this different from just asking ChatGPT ourselves?
A single prompt is a sample size of one from a non-deterministic system. We measure across a validated corpus of buyer questions, multiple engines, and repeated runs over time, which is the difference between an anecdote and a metric you can act on.
Which engines do you track?
ChatGPT, Perplexity, Gemini and Google AI Overviews by default, weighted by where your buyers actually research. The engine mix is configurable and we re-weight as usage patterns in your category shift.
Can this feed our existing BI stack?
Yes. Metrics export to wherever your team already looks: Looker, Metabase, spreadsheets, or a standalone dashboard we host. The goal is a number in your Monday reporting, not another tool nobody opens.
Do we need GEO Analytics if we're already doing AEO/GEO work?
That's exactly when you need it. Without measurement you're shipping GEO content on faith. Most clients run both: execution moves the answers, analytics proves it and points the next sprint.
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