AI Visibility Tracking — measure how AI engines see your brand.

AI visibility tracking is the practice of measuring how often, how prominently and across which engines AI assistants name your brand when they answer the questions your buyers ask. It is the Search Console of GEO — the measurement layer that makes generative-engine optimization improvable instead of a guess. A tracker runs a defined query bank against ChatGPT, Gemini, Perplexity, Claude and Google AI Overview on a fixed cadence and records the results week after week.

You can — but it doesn't scale and isn't comparable. A serious tracker runs dozens to hundreds of buyer queries across five or six engines every week, applies semantic detection for aliases and variants, and writes the result to a permanent timeline. Manual checks are point-in-time, lossy and impossible to defend in front of a client or board. The whole point of tracking is to convert a one-time gut check into a trend you can act on.

Cover the engines that capture nearly all AI search demand: ChatGPT, Google Gemini, Google AI Overview, Perplexity and Anthropic Claude. Citovo also tracks Gemini Pro as a separate engine, giving you six surfaces. Tracking all of them produces a defensible measure of AI share of voice rather than a single-engine snapshot that can swing on one model update.

Weekly is the standard cadence. AI engines re-index and re-train frequently enough that daily measurement is noisy, and monthly is too slow to catch shifts caused by content launches, link wins or model updates. A weekly run is also the unit a client expects in a status update — a single line on the dashboard moving up.

Semantic detection is the ability to recognize a brand mention even when the engine uses an alias, a misspelling, a parent-company name or a paraphrase. A tracker that only matches the exact brand string misses real citations and produces a misleadingly low citation rate. Semantic detection — using the LLM itself to judge whether a brand was named — is now considered table stakes for serious tracking.

Share of voice is your brand's citation rate divided by the sum of citation rates for a defined competitor set, expressed as a percentage, per query and per engine. If three competitors each get cited 30% of the time and you get cited 10%, your share of voice is 10 / (10+30+30+30) = 10%. The metric tells you whether the category is moving toward you or away, independent of absolute citation rate.

No. Analytics tools like Google Analytics measure traffic and behavior on your own site after a user arrives. AI visibility tracking measures whether the AI engine recommends you in the first place — upstream of any visit. The two are complementary: AI visibility tracking sits next to Search Console as a top-of-funnel measurement, while analytics covers what happens on-site.

Profound and Otterly are citation trackers — they tell you whether engines mention your brand. They don't run any execution. Citovo tracks across six engines with semantic detection too, and in the same dashboard runs the SEO and GEO work that actually improves citation rate — technical audit, AI content pipeline, programmatic SEO, backlink outreach. The measurement and the execution loop in one place.

Tracker-only tools typically run from a few hundred to a few thousand dollars per month, scaling with query volume and number of brands. Citovo is in pre-launch and prices engagements based on scope — number of brands, query volume and how much execution you want us to run alongside the tracking. Contact +91 84272 69387 or tarunsahnan98@gmail.com for a demo.

Yes — and you should. Because a tracker records who the AIs recommend for each query, naming a competitor set produces a side-by-side share of voice view per engine. Competitor coverage is often more valuable than your own number: it shows exactly which queries competitors win that you don't, which sources cite them and not you, and where the highest-leverage GEO work lives.