GEO vs SEO vs AEO: which should an ecommerce brand optimise for?

What do SEO, AEO and GEO actually mean?

Three acronyms, one buyer, three different moments of visibility. SEO gets you onto the results page. AEO gets you quoted when an engine answers a question directly. GEO covers citation earning across every generative surface, from ChatGPT to Google's AI Overviews, and is the term the research literature settled on.

The GEO term has an academic pedigree (a 2023 Princeton-led paper coined it and measured a visibility lift of up to 40% from content-side changes). Its full definition, origin and mechanics are in the generative engine optimization guide, which is the pillar this piece hangs off. If you take one framing from that guide: GEO is the strategy word, AEO is the playbook word.

How much do SEO, AEO and GEO overlap?

More than the vendor pitches admit. All three depend on crawlable, server-rendered pages. All three reward structured data, because a schema block is legible to Googlebot and to a language model alike. All three punish thin content and fabricated evidence. A brand that ships honest Product and Review JSON-LD, real verified reviews, and plainly written answers has done most of the work for all three acronyms in one pass.

The divergences sit at the edges. Backlink acquisition still matters for classic rankings and matters far less for citations: in our 1,200-prompt study, domain authority was nearly uncorrelated with Perplexity citations while verified-review depth predicted citations on every engine. Prompt-panel tracking, llms.txt and product feeds are GEO-only work with no SEO equivalent. And Google AI Overviews are the literal overlap point: ranking gets you into the candidate set, but only a quotable passage gets you into the box, a distinction the AI Overviews guide unpacks properly.

One number worth holding onto from that study: Perplexity cited a specific brand in 52% of shopping prompts while Copilot managed 18%. The channels are real, they are different sizes, and they reward different inputs. That asymmetry is why "just do SEO and the rest follows" stopped being true.

Which should you prioritise? A decision framework

Sequencing depends on where your next customer actually comes from, not on which acronym is loudest on LinkedIn this quarter. Four situations cover most ecommerce brands we talk to.

How should you split the budget?

No public benchmark exists for this split yet, so treat the numbers below as our opinionated default rather than an industry figure. They come from watching which line items actually moved citation rate and organic revenue across the brands we audit, and they assume one team runs all of it.

The shared bucket is deliberately the biggest in every row, because it is the only spend that pays out three times. The GEO bucket buys the work with no SEO equivalent: the llms.txt, the product feed agents can read, the weekly prompt panel, and the PDP rewrites that put the answer in the first hundred words. The four levers behind that bucket, in priority order, are laid out in the AEO 2026 playbook.

Rebalance quarterly, and rebalance on data. If the citation log shows you winning prompts in one engine and invisible in another, the next quarter's GEO hours go to the gap. If organic revenue starts eroding under answer boxes, shift weight from rank-chasing to quotability on the pages that still rank.

What work counts for all three at once?

The double-counting list is the practical heart of this piece. Fund these before anything acronym-specific, because every one of them improves rankings, answer inclusion and citations simultaneously.

• Product, Offer, Review and FAQPage JSON-LD on every money page. The single highest-leverage shared input.
• Verified reviews, server-rendered. The first five reviews visible in the HTML, with authors and dates, not loaded behind JavaScript.
• Rights-cleared UGC tagged to products. Third-party evidence that engines and shoppers both trust.
• Answer-shaped copy. A plain first paragraph that says what the product is and who it is for, phrased the way buyers ask.
• Fast, crawlable pages. GPTBot and Googlebot fetch the same HTML; a page neither can read wins nothing anywhere.

A useful discipline: audit one PDP against the 42-signal scorecard before arguing about budget at all. The median page we see scores 18 of 42. When the shared layer is that unfinished, the SEO-versus-GEO debate is premature by definition.

Where do teams burn the budget?

• Hiring a separate GEO agency before the schema is done. You pay strategy rates for work your existing team should ship in two sprints.
• Optimising for one engine. The engines disagree with each other; a ChatGPT-only programme is invisible to half the audience.
• Treating GEO as a content stream. Ten AI-flavoured blog posts a week move nothing. Citation rate responds to structural work on pages you already have.
• Measuring nothing. Without a prompt panel, the quarterly rebalance runs on vibes and the loudest voice in the meeting wins.
• Faking the evidence. Synthetic reviews and inflated AggregateRating counts earn demotion everywhere at once. The one mistake all three acronyms punish identically.