AEO and GEO describe the same motion: become the source an AI engine quotes when someone asks a question. The industry can’t even agree which acronym to use, and Google’s own documentation calls all of it “still SEO.”
“Answer Engine Optimization” leans toward answer boxes and Google’s AI Overviews. “Generative Engine Optimization” leans toward citations inside generative chat like ChatGPT and Perplexity. Useful shorthand. But the work underneath, earning trust, structuring content, getting mentioned and cited, does not change when you swap the letters.
When researchers measured what lifts a page inside AI answers, every winning move was a “be the trustworthy source” move, not an acronym-specific trick. So don’t buy a “GEO package” and an “AEO package.” Buy the work. Here’s what it is, and what it’s worth.
The industry can’t even decide what to call this.
When Aleyda Solis surveyed more than 200 senior SEOs on what to call AI-search optimization, no label won a majority. The most common answer was just “AI search optimization” at 36%, followed by plain “SEO” at 27%. The two acronyms in this matchup landed near the bottom: GEO at 18%, AEO at just 4%.
That isn’t a rounding error. It’s the tell. When practitioners can’t agree whether to call something AEO or GEO, it’s because they’re describing the same work from slightly different angles.
Terms like GEO, AEO, or LLMO have largely been invented by the industry itself for marketing purposes.
Clara Soteras, in the SEOFOMO State of AI Search Optimization Survey
What 200+ senior SEOs call AI-search work
Everything that wins in AI is a “be the trusted source” move.
The peer-reviewed paper that coined the term GEO (Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi) tested optimization tactics across 10,000 queries. Adding quotations, statistics, and citations lifted a page’s visibility inside AI answers by up to 40%.
Look at the levers: quote your sources, cite statistics, write fluently, sound authoritative. None of that is AEO-specific or GEO-specific. It’s what credible content has always done. The acronym is marketing. The work is editorial.
What lifts a page’s visibility inside AI answers
GEO-bench (Aggarwal et al., KDD 2024).
Source: GEO: Generative Engine Optimization (KDD 2024)Citing your sources can lift an underdog 115%, and dent the leader.
In the same study, adding source citations to a page sitting around position 5 lifted its visibility in AI answers by 115%. The identical change on the rank-1 page cost it 30%.
That’s the opposite of how Google’s blue links work, where the big get bigger. In AI answers, being the genuinely useful, well-cited source is the lever, not raw domain size. Good news if you’re not the incumbent.
What citing sources did, by where the page started
People search “GEO” 3x more than “AEO.” It’s the same job.
Search demand for both terms exploded from essentially zero in 2023, rising in near-lockstep, the signature of one motion rebranded twice. Today “generative engine optimization” pulls roughly 12,000 US searches a month versus about 3,700 for “answer engine optimization.”
GEO is winning the branding war about three to one. That tells you which word to put in your headlines. It tells you nothing about doing different work.
The two acronyms, by search demand
Being the cited answer is what matters now.
Here’s why any of this matters. When Google shows an AI summary, people click a traditional result just 8% of the time, versus 15% without one. They click a link inside the summary only 1% of the time. And across all Google searches in early 2026, 68% ended with no click at all.
If the answer is being assembled in front of your customer and almost nobody clicks through, the only winning move is to be inside that answer, cited and credited. Call it AEO. Call it GEO. Just make sure it’s you in the box.
When an AI summary appears, 1% of people click a link inside it. The point is being the answer, not ranking beneath it.
Share of Google searches that end without a click
The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems. From Google Search’s perspective, optimizing for generative AI search is still SEO.
Google Search Central (official documentation)
Despite different naming conventions, both approaches pursue the same goal: getting your content in front of users as a trusted answer when they ask a question.
Clara Soteras, SEOFOMO State of AI Search Optimization Survey
AEO, GEO, or just… the work? Take 30 seconds.
A few taps. You’ll get a straight answer on where to aim first, even though the underlying work is the same either way.
Where do your buyers research?
We run one AI-search program, not an alphabet soup of packages.
Whether a prospect says AEO, GEO, AIO, or LLMO, the work is the same: make you the credible, cited, structured source an engine wants to quote. We build that once, across Google’s AI Overviews and the standalone chatbots, on top of the SEO foundation all of it depends on.
Frequently asked
Is there any real difference between AEO and GEO?
Do I need separate AEO and GEO services?
Which term should I use?
Is this just SEO with a new name?
Does AEO or GEO replace SEO?
Every figure on this page comes from a primary platform, an independent study, or a named industry expert. No competing-agency stats, no made-up numbers.
- SEOFOMO: State of AI Search Optimization Survey (Aleyda Solis)
- Search Engine Land: AI search optimization naming survey
- Google Search Central: optimizing for generative AI features
- Search Engine Journal: Google calls AEO and GEO “still SEO”
- GEO: Generative Engine Optimization (Aggarwal et al., KDD 2024)
- Pew Research Center: clicks when an AI summary appears
- SparkToro: 2026 zero-click search study
- Ahrefs Keywords Explorer: GEO vs AEO search demand
