GEO Analytics & Tracking

Everything that tells you how AI engines see you. We track your share of voice and citation frequency across each LLM, monitor branded, competitor and high-intent prompts by funnel stage, log which AI bots are crawling your site, follow sentiment and mention trends across the sources models trust, and connect AI-referred visits to trials, demos and pipeline. We combine multiple GEO tools with our own reporting so coverage is broad and the picture is complete — not one tool’s partial view. The goal is simple: a clear, continuous read on where you stand and what’s changing.

SEO analytics measures rankings, clicks and sessions from blue links. GEO analytics measures whether AI engines understand, cite and recommend you inside the answer itself — across ChatGPT, Claude, Perplexity and Google AI Overviews. Clicks alone don’t capture it, since most AI sessions end without a visit, so we track share of voice, citations, prompt coverage, sentiment and bot activity instead. The two connect — your SEO foundation still shapes whether AI can find you — but measuring AI visibility takes a different stack, and that’s what we set up.

We track whether your product shows up when a developer asks a coding agent “what should I use for X.” A big part of that is measuring your visibility in Brave Search — Claude’s web search (including Claude Code) is powered by Brave, so where you rank there directly shapes what Claude surfaces. We monitor those prompts across coding-agent workflows, track how often your docs, GitHub, package registries and Stack Overflow presence get pulled in, and watch how your visibility moves as you improve. Getting surfaced inside Claude Code, Cursor and Copilot is a high-intent channel most agencies don’t even measure. AUQ does — and we make it a tracked, reportable number rather than a guess.

Yes — we handle all of it. We set up the tagging, events and attribution so your analytics captures AI-referred sessions cleanly, configure GA4 and any other platforms you use, and log which LLM bots are crawling your site. You don’t need to wire anything up or buy a pile of tools — we build the full measurement layer and maintain it. Most teams can’t measure GEO simply because nobody set the tracking up correctly; we remove that blocker entirely so the data you see is accurate from day one.

We deliberately use several, because no single tool sees everything. For prompt tracking and AI visibility we use platforms like promptwatch alongside others, for search and citation data we use Semrush and Ahrefs, and we layer our own in-house reporting on top to tie it all together. Each engine pulls from different sources and roughly 89% of AI citations differ by platform, so a one-tool view leaves blind spots. By combining multiple tools into a single dashboard, you get broad, reliable coverage across every major LLM — and one place to read it, instead of five logins that don’t agree with each other.

We set it all up and keep it running. Most agencies hand you a tool login and leave you to make sense of it — we do the tagging, configure the tracking, wire up multiple tools, build the dashboards and maintain them as engines change. A dashboard only creates value once it’s measuring the right things accurately, so we own the whole chain from setup through reporting to the insights you act on each month.

One clear view of every signal that matters: your share of voice and citation frequency across each LLM, prompt coverage broken down by funnel stage, sentiment and mention trends, which AI bots are crawling your site and how often, and — crucially — AI-referred traffic connected to trials, demos and pipeline. We combine multiple tools with our own reporting so it’s all in one place and updated continuously, rather than scattered across platforms that each tell half the story. The result is a dashboard your team actually opens, because it answers “is this working and where is pipeline coming from” at a glance.

It’s built for technical B2B companies and product-led growth teams. We focus on dev tools, fintech and martech — categories where buyers are technical and the research happens inside AI. 51% of B2B software buyers now begin in an LLM (up from 29% a year earlier) and 94% use AI somewhere in the buying process, often on high-intent “X vs Y” and “best tool for…” queries. PLG teams especially need to connect that AI visibility to signups and pipeline, so the measurement is built for how your buyers actually research and convert.

We track it differently than SEO, because clicks alone don’t capture it. We monitor your share of voice and citation frequency across each engine, watch competitor movement, track which AI bots are crawling your site, and connect AI-referred visits to trials, demos and pipeline. You get a clear picture of what shifted and why — not vanity traffic charts. AUQ combines tools like promptwatch, Semrush and Ahrefs with our own in-house reporting so the numbers are complete.

Quickly. The analytics tagging and bot-visit logging can be live within days, and prompt tracking usually follows within the first week or two once we’ve mapped your prompts and competitors. Trend data — share of voice, sentiment, competitor movement — naturally builds over the following weeks as the engines are re-sampled, so the dashboard gets richer the longer it runs. You’ll have a working measurement system almost immediately, then a deepening picture as the baseline fills in.