Know Exactly What AI Says About You.
Every ezgeo.ai engagement runs on our own AI-visibility tracker. It's the difference between a rebranded SEO shop and an agency built natively for generative search.
How does ezgeo.ai track AI visibility?
The ezgeo.ai platform continuously prompts every major AI engine with the buyer questions in your category, queries each one repeatedly because LLMs are stochastic, then extracts how often you're cited, how you're described, and which sources the model trusts, benchmarked against competitors and tied back to pipeline so you can prove the work moves revenue.
Roughly 1 in 4 search-style queries now happen inside AI tools, and only about 38% of AI citations come from page-one Google. Rank tracking can't see any of that. The platform measures the surface that's actually deciding your shortlist, what generative engines say, who they name, and where they source it.
Share of Voice
How often each engine cites you versus competitors, for the prompts your buyers actually ask, scored per engine and rolled up to one number.
Citation Tracking
Every mention, with the source URL and the exact prompt that surfaced it. Watch citations accrue, and see which third-party sources the model is leaning on.
Sentiment
Not just whether you're named, how you're described. Catch and correct unflattering or out-of-date framing before it costs you a shortlist spot.
Source Profile
The pages and domains AI quotes when it talks about your category, G2, Reddit, docs, industry roundups, so you know exactly where citations are earned or lost.
Competitor Benchmarks
Track up to ten competitors side-by-side and see who's winning each prompt cluster, with a you-vs-median-vs-leader score on every engine.
Pipeline Attribution
Connect AI-referred sessions to your CRM so visibility maps to revenue, not vanity counts. Citations are the leading indicator; pipeline is the proof.
What the Platform Measures
Six metrics, each tied to a buyer question you can answer with a number instead of a hunch. Together they turn “are we visible in AI?” from a guess into a scoreboard.
| Metric | The question it answers |
|---|---|
| Citation frequency | How often does AI name us at all when buyers ask about our category? |
| Share of voice | Of all the brands AI mentions for these prompts, what slice is us versus rivals? |
| Sentiment | When we are named, are we described accurately and favourably, or dismissed? |
| Source profile | Which pages and domains is the model citing to talk about us and our space? |
| Competitor benchmark | Where do we sit against the median and the category leader, engine by engine? |
| Pipeline | Do AI-referred visits turn into sessions, signups, and revenue we can attribute? |
For the full methodology behind these metrics, including how we score share of voice and read sentiment at scale, see our deep guide on measuring AI visibility.
How the Tracking Works
A reproducible measurement loop, not a one-off screenshot. Each step is designed to survive the two things that break naive AI tracking: noisy, stochastic answers and citations that live off page one.
Define the Prompt Set
We map the questions your buyers ask AI across every intent stage, problem-aware ('how do I fix X'), solution-aware ('best tools for X'), and brand-aware ('is ezgeo.ai any good'). That prompt set is the measurement surface; get it wrong and every number downstream is noise.
Query Every Engine, k Times
LLMs are stochastic, ask the same question twice and you can get two different answers. So we query each of the six engines repeatedly and aggregate, turning a noisy single response into a stable, reproducible visibility score you can trust week over week.
Extract Brands & Sources
We parse each response for brand mentions, the sentiment around them, and the source URLs the engine cites. Only about 38% of AI citations come from page-one Google, so we capture where the model actually pulled its answer from, not where it ranks.
Benchmark & Report
Every prompt cluster gets a comparative score: you 38 · median 61 · leader 88. You see exactly which prompts you lose, who beats you, and which source we need to win, then we re-run on a schedule so the trend line, not a single snapshot, drives the work.
The same loop drives the rest of the program: see how it fits the five-layer GEO methodology, and the work it feeds in our services.
The Platform, Run for You
The platform tells you what's true. Our team does the work to change it. Our AI-Visibility Tracking service is managed monitoring on this exact tracker, we define your prompt set, run the experiments, and turn the scoreboard into a citation-engineering plan. You don't action a dashboard; we run the whole program and report the lift.
- ▸Audit clients get a full snapshot of the gaps to act on right away.
- ▸Retainer clients get continuous monitoring, alerts, and competitor-benchmarked reporting.
- ▸Authoritative quotes and stats lift citations ~28% / ~41%, we measure that lift, page by page.
- ▸Citations from sources AI already trusts carry markedly more distribution than an owned page when you're cited across several independent sources.
Platform Questions, Answered
Which AI engines does the platform track?
All six engines your B2B buyers use to shortlist tools: ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, Copilot. We score each one separately, because a brand can dominate Perplexity and be invisible in ChatGPT, the gaps only show up when you measure them engine by engine.
How often does it update?
Continuously. We re-run your prompt set on a recurring schedule and re-query each engine multiple times per run, because LLM answers drift as models are retrained and your content is re-crawled. Freshness matters: recently updated, frequently re-crawled sources are favoured when recently published or updated, and cited accordingly, so we treat AI visibility as a trend line, not a one-time audit.
Can I see how I compare to competitors?
Yes, that's the core of it. You track up to ten competitors side-by-side and get a you-vs-median-vs-leader score on every prompt cluster and engine (e.g. you 38 · median 61 · leader 88). It tells you not just that you're losing a prompt, but exactly who's winning it and which source they own.
Is the platform standalone, or part of the service?
It powers our done-for-you AI-Visibility Tracking service. The platform tells you what's true; our team does the work to change it, engineering citations, fixing source profiles, and re-running the measurement to prove the lift. Audit clients get a full snapshot of where they stand; program clients get continuous monitoring with alerts built in.
How is this different from rank tracking?
Rank trackers tell you where a page sits in a list of blue links. This measures whether AI names, quotes, and recommends you in a synthesized answer, a different surface entirely. With roughly 1 in 4 search-style queries now happening inside AI tools, and only about 38% of AI citations coming from page-one Google, ranking #1 in Google no longer guarantees you're in the conversation.
Who is the platform for?
B2B SaaS teams whose buyers research inside AI tools, founders, heads of growth, and demand-gen leaders who need to prove that GEO work moves pipeline, not just impressions. If a prospect asks ChatGPT 'what's the best tool for X' and a competitor gets named instead of you, this is how you see it, size it, and close it.