Answer engine optimization · inside Growth

Ask an assistant who does what you do. See whose name comes back.

Answer engine optimization is the work of being named when a buyer asks ChatGPT, Claude, Gemini or Google's AI Overviews a question they would once have typed into a search box. We treat it as a measurement problem rather than a copywriting one, because the only honest way to know whether it worked is to ask the question again and count.

The number most AEO pitches leave out

AI referral traffic is currently around 1.08% of all website traffic, and roughly 87.4% of that comes from ChatGPT alone. Those are Conductor's 2026 benchmark figures, and they are smaller than the industry's marketing suggests.

So why act now? Because the referral number is the wrong one to watch. AI Overviews appear on about a quarter of US Google searches, and an answer given in the results page does not send a click at all. The question is not how much traffic assistants send you today. It is how many buying questions get answered about your category without your name in the answer.

We would rather lead with the real figure than a flattering one. If an agency opens with a four-digit growth percentage and no source, ask for the source.

What we actually do

1. Build the question set

Not keywords. The questions a buyer in your category would genuinely type into an assistant before spending money — comparison questions, shortlist questions, "who should I use for" questions, objection questions. Written with you, because you know what your buyers ask on the phone.

2. Establish a baseline by sampling

Every question, asked repeatedly, across several assistants. We record whether you were named, who was named instead, in what position, and — the useful part — which sources the model drew on. Repeated runs, because one answer is one roll of the dice. The baseline is reported with its variation intact.

3. Fix what the answers are built from

Assistants assemble answers out of sources. So the work is on the sources: consistent entity information everywhere the brand appears, structured data a machine can parse, pages that state plainly what the business does and for whom, and presence on the third-party sites — directories, review platforms, comparison articles, trade press — that these systems actually read. This is where most of the effort goes, and it is the part that compounds.

4. Re-run and report honestly

The same questions, the same way, a month later. Appearance rate then against appearance rate now. When a number has not moved, the report says so, and says what we think is holding it.

Four things we will tell you that most won't

An llms.txt file is housekeeping, not a lever. No major assistant has published that it reads one as a ranking input. We publish ours because it is cheap and it makes our positioning unambiguous. Anyone selling llms.txt as the centre of an AEO programme is selling the easiest hour of the work.

The measurement tools have commoditised. Dashboards that track AI mentions now start around $29 a month. If an agency's entire offer is a dashboard with their logo on it, you can buy that yourself. What is worth paying for is the remediation — the sources, the entities, the published evidence — not the monitoring.

You cannot buy your way into a model's weights. What is reachable is the retrieval layer and the public record the model reads. Anyone implying otherwise does not understand how the systems work.

Results are reported with the variation. An appearance rate of 40% across ten runs is a real finding. One screenshot of a good answer is not.

Why Brewingleads

We publish our own audits with the findings intact. When we ran one on our own Google Ads account, it showed the account was counting WhatsApp taps as leads, which made the reported cost per lead ₹200 when the real figure was ₹1,537. It also found 48% of spend going to search terms that had never converted, and 82% of budget going to cities with no office. All four findings and the remediation log are public.

That is the standard we hold AEO reporting to. A measurement practice that only publishes its wins is a marketing practice.

AEO also sits inside Growth rather than standing alone, because the same technical groundwork serves conventional search, and because being named in an answer is worth very little if the page the buyer lands on does not qualify them.

Frequently asked questions

What is answer engine optimization?

Getting a brand named when someone asks an AI assistant a buying question rather than typing it into a search box. Also called generative engine optimization, or GEO. The groundwork overlaps heavily with SEO; the verification does not, because an assistant's answer is not a ranking you can look up.

What is the difference between AEO and SEO?

Most of the technical groundwork is shared, so an AEO engagement that ignores SEO is selling half a job. What differs is the target and the measurement. SEO optimises a page towards a ranking position. AEO optimises the body of evidence an assistant draws on, which puts third-party sources, directories, comparison content and structured entity data ahead of on-page keyword placement — and the result is an appearance rate, not a rank.

Can you prove a brand became more visible in AI answers?

Only by sampling. Ask the same question twice and you can get two different lists, so the honest unit is an appearance rate across repeated runs, reported with its variation and compared to the same questions a month later.

How long does it take?

Entity and structured-data corrections can register within weeks. Movement in what assistants say is slower and less predictable, because models retrain on their own schedule and retrieval layers update independently. Expect a baseline, then a second run a month later, with the comparison reported either way.

Do you work with businesses outside Pune?

Yes. AEO is one of the few things that is genuinely location-independent, and we run it for clients across India and internationally. See our global capability page.

AEO sits inside the Growth pillar. See also Growth and measurement, Brand strategy and Content and film, or the full services page.

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