Google: SEO tools have no access to its internal GEO metrics

Google's position is blunt: every third-party tool claiming to measure AI Overview performance is working from a guess. Search Engine Journal reports that Google has told CMOs directly that no external vendor has access to its internal GEO metrics, and that the company considers generative engine optimisation to be a continuation of SEO, not a separate discipline requiring a separate stack.

That second point is the more consequential one for how brands allocate budget. Google is, in effect, lobbying against the emerging category of standalone GEO tools. The argument is tidy: if GEO is SEO, you do not need new software; you need to do existing SEO better. Whether that is good strategic advice or a defence of the incumbent search relationship probably depends on how much revenue Google fears losing to AI-native platforms.

What "flying blind" actually means in practice

The claim that third-party tools lack access to internal metrics is not merely a turf dispute. It has a direct measurement implication. Impression counts, citation frequency, AI Overview trigger rates, and the degree to which a given page is drawn into a generative answer are all calculated inside Google's infrastructure. What external tools can observe is limited to what surfaces in the Search Console API, proxy signals from rank-tracking crawls, and inferences from traffic patterns. None of that is the same as knowing whether a URL was cited, summarised, or quietly used as a retrieval signal in an AI Overview.

For a CMO at, say, a global industrial group or a multilateral institution, the practical consequence is this: any dashboard currently claiming to track GEO performance against Google is measuring a shadow of the actual variable. Teams making content investment decisions on the basis of third-party GEO scores are optimising against a metric that Google itself cannot supply externally.

That is not a small methodological caveat. It is the difference between steering with a compass and steering by the feel of the road.

The consolidation argument Google is making

Google's CMO messaging appears to be doing two things simultaneously. First, it reasserts authority over the AI search conversation at a moment when Perplexity, ChatGPT Search, and Microsoft Copilot are competing for the same senior marketing audience. Second, it simplifies the purchase decision: stay in the Google ecosystem, keep doing technical SEO and quality content, and trust that the algorithm handles the generative layer.

The first part of that argument is commercially motivated and should be read as such. The second part is more defensible on its merits. There is reasonable evidence that AI Overviews draw heavily from pages that already rank well organically. A page that earns a top-three position through conventional SEO signals is more likely to be cited in a generative answer than one that does not rank at all. If that relationship holds, the incremental value of a dedicated GEO optimisation layer may be smaller than the market currently prices it.

But "smaller than priced" is not the same as zero. The pages that rank well do not always get cited; the choice of which source to surface in a generated answer involves editorial judgements that keyword optimisation does not fully determine. Factors including entity authority, structured data clarity, and the degree to which a page answers a specific inferential question all plausibly influence citation selection in ways that are not fully captured by position alone.

Who this message reaches, and who it should

Google is directing this argument at CMOs rather than SEO practitioners, which is a revealing choice of audience. CMOs control budget. The implicit message is: do not approve a new line item for a GEO-specific tool; trust Google's measurement and trust the existing channel.

For senior marketers at financial services firms or UN system organisations, the advice warrants scepticism on one specific point. Google's assurance that Search Console will surface "relevant data" for AI Overviews may be accurate for traffic volume, but traffic is a lagging and incomplete proxy for citation influence. A page that is quietly used as a retrieval source for dozens of AI-generated answers, but whose users never click through, will show no Search Console signal at all. That is a visibility gap that matters enormously for institutions whose authority depends on being correctly represented in AI-generated summaries, not just ranked in a list.

The honest implication is not that GEO tools are reliable and Google is wrong. It is that neither source gives a full picture. Google has the real data and is not sharing it. Third-party tools are inferring from proxies. CMOs who treat either as a solved measurement problem are working from incomplete information, which is a different kind of problem than flying blind, but not a better one.