AEO & GEO Services
in Pune

Answer engine optimisation is the work of getting a business quoted when someone asks a question instead of running a search; generative engine optimisation is the same job aimed specifically at systems that write an answer rather than list links. In practice the two overlap almost entirely, and the four surfaces that matter today are ChatGPT, Google Gemini, Perplexity and Google’s AI Overviews.

The commercial difference from search is worth being precise about. SEO earns a click: someone sees a listing and chooses it. Answer-engine work earns a mention inside somebody else’s answer, where there may be no click at all and the brand is named alongside two or three others. That changes what counts as proof, which is why the measurement section below exists.

By running a fixed set of buyer questions across the answer engines on a schedule, and recording whether the brand appears, in what context, and alongside whom. The prompt set is agreed at the start, typically 20 to 40 questions a real customer would ask, and the same set is re-run each month so the comparison means something.

Each run records three things: whether the brand was named, what it was named as (the maker of a product, an option among several, or the source of a fact), and which competitors appeared beside it. A brand cited once in twenty answers has a different problem from one cited in twelve but always in third place.

It is worth knowing what the platforms themselves say about all this. According to Google’s Search Central guidance on performing well in its AI experiences, the route in is to meet the ordinary technical requirements for Google Search: the same requirements cover the AI formats. There is no AI-specific submission, setting or standard to comply with, and any agency selling one is selling something that does not exist.

Two limits belong in the same breath as the numbers, because they decide how those numbers should be read. Answers vary between runs and between users, so what is being tracked is a trend across a fixed prompt set, not a ranking. And a single screenshot proves nothing: the same question asked twice can return different brands. That is also why this page shows no citation screenshots of its own: it would be evidence of nothing, and easy to fake.

This measurement runs from the first month, before any changes are made, so there is a baseline to argue with later. Our process sets out the stages around it.

₹20,000 a month, with a ₹20,000 one-time setup, as published on our pricing page. None of the pages ranking for this service publishes a figure at all, which makes comparing quotes unusually hard for a buyer.

The setup covers the front-loaded work: the entity and schema pass across the site, the answer-format rewrite of the pages that carry commercial questions, and the baseline measurement run that everything afterwards is compared against. Without that baseline, later results are assertions.

On timing, answer engines re-crawl and retrain on schedules nobody outside them controls, so movement is measured in months rather than weeks and cannot be promised for a given date. The engagement runs month to month, billed monthly in advance, and either side may end it on 30 days’ written notice, as published in our terms.