Should you optimize differently for AI than for Google, or is that a false choice?
Last updated: September 14, 2026
Why this is the foundational question
Every GEO decision downstream depends on it. If AI and Google are the same job, you keep doing SEO and AI visibility comes free. If they are different jobs, half your playbook is aimed at the wrong target and you are spending on ranking factors that no longer move the thing you now care about. People want a clean yes or no. The data does not give one, and the vendors selling you a "GEO platform" and the ones selling you "just write great content" are each pushing the half of the truth that sells their product.
The two camps, named
This one is genuinely contested, and the split decides your budget.
School A: GEO is its own discipline
The GEO-tool camp, the vendors selling "answer engine optimization" dashboards, argues AI selection runs on different signals than Google ranking, off-site mentions, brand presence, being described near your topic, so you need a separate practice and separate measurement. The falling overlap is their evidence.
School B: great content wins both
Much of the classic-SEO camp argues there is no magic GEO trick: the same fundamentals, genuinely useful content, real authority, being worth citing, win in both places, and "GEO" is mostly SEO rebranded to sell a new dashboard. Google's own guidance says roughly the same, that there is nothing special to do for AI features beyond good SEO.
How we got to the call
Both camps are pointing at real data. The resolution is that they are describing different verticals and different engines, and neither noticed.
How we got here
Ahrefs, the divergence (2025 to 2026): the share of AI Overview citations coming from Google's top 10 fell from about 76% in July 2025 to 37.9% across 863,000 SERPs and 4 million citations. And across 15,000 long-tail queries, only about 8% of URLs cited by ChatGPT, Gemini and Copilot rank in Google's top 10. That is School A's case: the link between ranking and citation is weakening fast, sharply so off Google's own surface.
BrightEdge, the exception (May 2024 to Sep 2025): measuring whether AI Overview citations rank organically anywhere, healthcare sits at 75.3%, education 72.6%, insurance 68.6%, and e-commerce at 22.9%. That is School B's case, but only in trust-sensitive verticals: where being wrong is dangerous, the engines lean hard on pages that already rank.
Ahrefs, what actually predicts citation (75,000 brands, Dec 2025): the strongest signals are off-site brand mentions (0.664 correlation on ChatGPT), not domain rating (0.266). This is the new lever neither classic camp centers.
Put together: the overlap collapse (School A) and the trust-vertical exception (School B) are the same phenomenon at two ends of a spectrum. AI leans on ranking exactly where being wrong is costly and lets go of it everywhere else, and that everywhere-else is filling up with off-site-mention signals instead. So the answer is not "separate" or "same." It is a slider set by your vertical. The caveat, stated once: these are three vendor studies at URL and brand level over different windows, so read the direction as solid and the exact percentages as approximate.
Our call
School A is more right than School B, but School B's core instinct survives inside it. GEO is a real, increasingly separate discipline, the falling overlap is not a rounding error, it is a trend, and treating AI visibility as a free byproduct of SEO is now a mistake in most verticals. That is where School B is quietly out of date: "just write great content and you'll rank and get cited" was true in 2023 and is decaying in front of us.
But School B is not wrong to say the fundamentals matter, because the thing AI rewards, being described near your topic across many independent sites, is downstream of being genuinely worth describing. You cannot mention-build your way to citations for a product nobody wants to talk about. So the fundamentals still gate you; they just no longer finish the job. And the one place School B holds almost fully is the trust verticals: in healthcare, finance, law, keep ranking, because 75% of what AI cites there is still ranked content.
Practically: don't torch your SEO, especially in a regulated vertical or if you depend on Google's AI Overviews. But stop expecting ranking to carry you into ChatGPT and Perplexity, because the data says it mostly won't, and move your new effort to the off-site mentions that actually predict citation. Not a false choice. A slider, and for most businesses it has already moved.
Related entries
- Explains Why is my brand invisible to AI even though I rank on Google?
- Prerequisite What is co-occurrence, and why do mentions beat backlinks for AI?
- Related How do I get mentioned on the third-party sites AI reads, without a backlink?
- Compare with How consistent are AI recommendations, really?
- Prerequisite Retrieval vs training: which one decides whether AI mentions you?
Changelog
September 14, 2026: First published. Contested entry resolved by cross-reading Ahrefs' overlap-collapse data against BrightEdge's per-vertical rank overlap, then against Ahrefs' brand-signal correlations, to place the answer on a vertical-dependent slider rather than one side.
Sources (primary): Ahrefs, "38% of AI Overview Citations Pull From The Top 10", 863,000 SERPs and 4M citations, 2026; Ahrefs, "Only 12% of AI Cited URLs Rank in Google's Top 10", 15,000 queries, July 2025; BrightEdge, "Rank Overlap After 16 Months of AI Overviews", May 2024 to September 2025, 9 industries; Ahrefs, "Top Brand Visibility Factors in ChatGPT, AI Mode, and AI Overviews", 75,000 brands, December 12, 2025. All vendor studies; incentives noted above. AI behavior evolves, so this entry is dated and revisited.