The GEO Metrics That Matter: A CMO’s Guide to AI Search KPIs
Four Numbers Every Marketing Leader Should Be Tracking in 2026
Boards are starting to ask a new question: “are we visible in AI search.” Most marketing teams answer it with Google Analytics and Search Console data, tools that were built to measure clicks on a results page and cannot see a channel that increasingly resolves without one. Measuring GEO performance requires a distinct, and deliberately small, set of KPIs, tracked outside the tools marketing already owns: mentions, citations, sentiment, and share of voice.
1. Mentions: The Raw Frequency Signal
The starting point is the simplest question: how often does an AI engine say a brand’s name at all, across a defined set of relevant prompts. A mention counts every time a brand appears in a generated answer, whether or not that answer links back to a source. This is the broadest of the four metrics, and it is the one to instrument first, because a brand invisible on mentions cannot be visible on anything downstream.
2. Citations: When the Engine Attributes the Source
A citation is a narrower, more valuable event than a mention: it is when an engine explicitly attributes a claim to a specific source, typically with a link or a named reference. Not every mention is a citation, and not every citation names the brand outright, the two numbers should be tracked side by side, not treated as interchangeable. Citations matter more commercially, because brands cited inside an AI Overview earn between 35% and 120% more organic clicks than brands that are mentioned but not cited on the same query, depending on the study (Seer Interactive, 2026). A brand with high mentions but low citations is being talked about without being credited, which is a content structure problem more than a reputation problem.
3. Sentiment: How You Are Described When Named
Being mentioned is not the same as being recommended. Generative engines describe brands with specific language: recommended, trusted, expensive, outdated, difficult to integrate. Sentiment tracking converts that descriptive language into a positive, neutral or negative signal, and it influences conversion more than raw frequency does (Mersel, 2026). A brand that is mentioned often but described unfavourably has a reputational problem to fix, not a visibility problem, and the fix for the two is never the same.
4. Share of Voice: Position Relative to Named Competitors
None of the first three metrics say anything about competitive standing on their own. Share of Voice measures a brand’s mention frequency against every named competitor within a defined topic cluster, effectively a “market share of answers” rather than a market share of clicks (Walker Sands, 2026; BrandRadar, 2026). A brand mentioned in 40% of relevant prompts is winning if competitors average 10%, and losing if they average 70%, regardless of how healthy the absolute number looks in isolation.
Final Consideration: Instrument Before You Optimise
None of these four metrics are visible in GA4 or Search Console. They require a fixed, representative prompt set, tested across the engines a brand’s buyers actually use, on a repeatable cadence, because AI answers drift with every model update. Without that instrumentation, “improving AI visibility” is an intention, not a managed program.
Indaru’s GEO Audit builds and tracks mentions, citations, sentiment and share of voice as one connected system, benchmarked against named competitors and reported in the same boardroom ready format used across our media governance work. If you want a baseline reading of where your brand stands on these four metrics, you can learn more about Indaru’s GEO Audit here.
