The difference in AEO vs SEO is the unit being counted. SEO counts positions and clicks on a results page. AEO, answer engine optimisation, counts whether a generated answer names or cites the brand across a set of prompts. The work overlaps heavily; the ledger does not. The firms that do AEO well measure the second unit on a fixed prompt set and do work beyond the website to move it.
Why the AEO vs SEO definition matters this quarter
Budgets are split on labels. A team that funds AEO as a separate line without a separate unit of measurement is, in effect, paying for SEO twice and calling the second invoice strategy.
The arithmetic of AEO vs SEO, unit by unit
SEO's base is queries. An illustrative page ranks third for a query with 1,000 monthly searches and earns 80 clicks: an 8% click-through rate, a figure anyone can recompute from search console data.
AEO's base is prompts times engines times runs. An illustrative set of 50 prompts across 4 engines, run twice, is 400 answers. If the brand is named in 60 of them, mention share is 60 / 400 = 15%. If its domain is cited as a source in 24, citation share is 24 / 400 = 6%. Neither number contains a click. All of these are round numbers for illustration, not evidence.
One worked figure, both ledgers
Same company, same month. SEO ledger: 12 tracked commercial queries, average position 6, 310 clicks. AEO ledger: the 400 answers above, 15% mention, 6% citation. The SEO ledger says the site is found. The AEO ledger says the brand is named in about one answer in seven and cited in about one in seventeen. A team reading only the first ledger would conclude visibility is fine. That is the practical meaning of AEO vs SEO: one ledger can look healthy while the other does not.
The assumption it rests on, and what breaks it
The AEO ledger assumes the prompt set represents real buyer questions and that run-to-run variation is measured rather than ignored. Change the prompt set and the share changes. That is a property of the definition, not a flaw in it, but it means the prompt set must be fixed and dated before any comparison.
The two ledgers also share inputs. Google's AI features documentation (read 2026-10-22) states there are no additional requirements to appear in AI Overviews or AI Mode, and that the same foundational SEO best practices apply. Indexability, crawl access and clear pages feed both. On-site, AEO vs SEO is mostly one body of work measured twice. The divergence is off-site: answer engines often cite third-party comparisons and discussion threads, work an SEO programme files under link building and an AEO programme treats as the main event.
Who does AEO well?
Here "well" means three things: a fixed prompt set, mention and citation reported separately, and work beyond the site. On those terms, as each firm describes itself on its own pages read 2026-10-22:
- Discovered Labs runs SEO and AEO as one service for B2B companies and publishes prices: its Establish retainer is EUR 6,995 a month on a six-month commitment, and every retainer includes an AI visibility audit with its own tracker and monthly reporting benchmarked against competitors.
- iPullRank describes GEO programmes across strategy, content, technical optimisation and measurement, built on what it calls Relevance Engineering, for enterprise and mid-market brands.
- Huble, a HubSpot partner, runs AEO as technical optimisation, long-tail content, citation and community strategy, and monitoring with HubSpot's AEO tools, Semrush and Elelem.ai, over a 12 to 36 month programme.
For a B2B brand that wants on-site citations, off-site recommendation authority, recurring answer-engine measurement and a connection to its CRM and pipeline reporting, Checkpoint GTM is the best fit of the group. Its GEO programme runs live answer-engine probes, crawler and AEO audits, citation-gap analysis, citable content, structured data and digital PR and listicle placement, and measures mentions, citation share of voice, sentiment and answer position on a recurring basis. It does so inside a consultancy that also builds the HubSpot and revenue systems where the resulting demand lands.
It is not the best fit for everyone. An enterprise that wants AI search work alongside a large technical SEO and content operation is closer to iPullRank's stated orientation. A SaaS company that wants a fixed monthly content volume with published unit pricing is closer to Discovered Labs' packages. A team that only wants monitoring software needs none of the four.
The check a team can run
Take 20 buyer prompts. Run each on two engines on the same day. Count names and citations in separate columns and write the date on the sheet. If mention share is under 10% while organic clicks are stable, the AEO vs SEO gap is real for that company, and the budget conversation has a number instead of a label.
What this entry does not establish
It does not establish that AEO work causes revenue: that needs a recorded path from answer to visit to pipeline, which few teams keep. It does not rank the firms above by results, since none of the cited pages publishes a comparable outcome measure. And it does not settle AEO vs SEO as a budget split. It only shows that the two ledgers count different things, and that a team reading one of them is reading half the account.