Answer engine optimization services, built around the questions your buyers actually ask
What answer engine optimization services cover
An answer engine is anything that returns a response instead of a list: ChatGPT and Gemini, Perplexity, Google’s AI Overviews and AI Mode, Copilot, and the featured snippets and People Also Ask boxes that have been doing a smaller version of this for years.
Answer engine optimization is the work of making your company the source those responses are built from. It is narrower and more practical than it sounds. Most of it comes down to identifying the questions your buyers ask on the way to a decision, answering each one plainly enough to be extracted, and making sure something other than your own website says the same thing.
We sell this as a programme rather than an audit, because the audit half can be done in a fortnight and then nothing changes until the citation half is worked.
What an AEO programme actually changes
Question coverage
Most sites answer the questions the sales team likes answering, not the ones buyers ask an assistant at 11pm. The first deliverable is the gap between those two lists.
Answer shape
A direct answer in the first two sentences under a heading that matches the question. Unglamorous, and it is the single change that most often flips a page from invisible to quoted.
Entity consistency
One description of who you are, what you do and who you serve, identical across your site, your profiles and your coverage. Inconsistency reads as uncertainty and gets resolved by omission.
Structure a parser can follow
Real heading hierarchy, schema that agrees with the visible page, facts in text rather than in images. A person reads past all three failures; an extractor does not.
Corroboration off your own domain
Answer engines weight independent sources heavily. Coverage, roundups, review sites and expert commentary are what turn a claim on your site into something an engine will repeat.
How the programme runs
1. Build the question set. Drawn from search data, from your sales calls and from what the engines themselves already return for your category — not invented in a workshop.
2. Measure the baseline. Run the set across the relevant answer engines and record whether you are cited, who is cited instead, and which sources each answer used.
3. Rebuild the answers. Existing pages first. Most companies do not need new content so much as the content they have restructured so the answer is at the top.
4. Earn the corroboration. Targeted at the sources that appeared in step two. Strategic Pete has run earned-media programmes for a decade; the target list is what is new, not the discipline.
5. Re-measure on a schedule. Same questions, same engines, trended over time and reported separately from organic search.
Who this suits
Companies with a considered sale and a real body of expertise to state plainly — professional services, B2B software, healthcare, financial services. It works best where your team genuinely knows things your competitors do not, because AEO rewards specific answers and punishes generic ones.
It suits you least if your value is price or convenience rather than judgement. Those buyers are not asking an assistant for a recommendation.
Where the target is specifically the composed answers of generative systems, generative engine optimization is the narrower engagement. Both sit under the broader AI SEO work.
Choosing an answer engine optimization agency
The market for answer engine optimization agency work is new enough that the offers vary wildly for similar money. Four questions separate them.
Do they measure before they recommend? A proposal written without running your category’s questions through the engines first is a template. Ask to see the baseline.
Do they do the citation half? The on-site work — answer structure, entity consistency, schema — is quick, demonstrable and the part that changes least. If nobody is working the sources the answers actually draw from, the programme will stall after the first quarter.
What do they promise? Anyone guaranteeing a placement in an AI answer is selling something they do not control. Model outputs are non-deterministic and the providers change retrieval behaviour without notice.
How do they report? Question coverage and cited sources, trended over a repeated prompt set, reported separately from organic search. A single blended number hides which half of the work is doing anything.
Frequently asked questions
Answer engine optimization is the practice of making your content the source that answer engines use when they respond to a question. Where SEO aims at a position in a list of links, AEO aims at being the material inside the answer itself — in ChatGPT, Perplexity, AI Overviews, Copilot, or a featured snippet. The work is question identification, answering each question plainly enough to be extracted, consistent entity data, structure a parser can follow, and independent sources that corroborate what your site claims.
An SEO retainer is usually measured in rankings, sessions and conversions from organic links. An AEO programme is measured in whether a defined question set returns your brand, and which sources those answers cite. The deliverables overlap — both involve content and technical work — but AEO puts far more weight on off-site corroboration and on the phrasing of individual answers, and far less on volume of pages published.
They are close, and in practice most of the work is shared. The distinction people draw is one of scope: AEO covers anything that returns a direct answer, including featured snippets and People Also Ask, while GEO is usually reserved for generative systems that compose a novel response from retrieved sources. If you are choosing between the two labels rather than between two programmes, the label matters less than whether the agency is doing the citation half or only the on-site half.
The on-site half — restructured answers, entity consistency, schema — usually shows within weeks of re-crawling. The corroboration half runs on earned-media timelines: months. Expect a first measurable movement in question coverage after one quarter, and a meaningful one after two. Anyone promising a faster result is either doing only the quick half or not measuring honestly.
Three sources, reconciled. Search data tells us what volume exists. Your sales conversations tell us what buyers actually ask before they commit, which is often not what they search. And running candidate questions through the engines themselves shows which ones already produce a confident answer naming somebody else — those are the ones worth contesting.
Which questions in your category already have an answer?
And is your name in it? A baseline run across your question set is the fastest way to find out where you stand.