Answer engine optimization services with prompt tracking

Answer engine optimization (AEO) is page-level work. We rewrite and restructure the pages your buyers ask about so an AI answer can quote them accurately. Google AI Overviews, AI Mode, ChatGPT search, Perplexity and Copilot all assemble answers from passages they retrieve. AEO makes sure the right passage exists, on the right page, in a form that still makes sense when it is lifted out of context.

Generative engine optimization is the wider program around it: crawler access, technical SEO, how your company is described across the web, and measurement across the whole site. If those are broken, AEO rewrites sit on pages nobody retrieves. That is why the first thing we ask about is the technical state of the site, and why a site with rendering or indexing problems should start with an audit.

The labels matter less in practice than vendors suggest. Both disciplines depend on the same indexes and ranking systems, and both reward pages that are specific. Our article on GEO vs AEO vs SEO goes through where the work overlaps.

For buying purposes, the split is simple. GEO is the program that keeps a site reachable and consistent. AEO is the sprint that changes what your most important pages say. After the sprint, a monthly prompt panel shows when an engine starts quoting something out of date.

By being the clearest indexed answer to the question, with nothing in the way. Google's AI features documentation (opens in a new tab) is direct: "There are no additional requirements to appear in AI Overviews or AI Mode." A page has to be indexed and eligible to show a snippet. No special schema, AI text file or markdown version is needed.

Within those rules, 4 things are worth doing.

1. Remove snippet restrictions. nosnippet, data-nosnippet on key passages or a low max-snippet value limit how your text can appear in AI Overviews. Old SEO plugins sometimes set them by default.
2. Answer the sub-questions. Google's AI optimization guide (opens in a new tab) describes query fan-out: the model runs related searches across subtopics. A buyer asking about invoice automation sets off searches about cost, accuracy and accounting integrations. A page that answers those in clear sections has more ways to be retrieved.
3. Cover narrow questions, even where you do not rank first. Ahrefs data reported by Search Engine Journal in March 2026 (opens in a new tab) showed that 38% of pages cited in AI Overviews ranked in the top 10 for the same query. Pages further down get cited when they answer a narrow question well.
4. Keep one strong page per topic. Google's guide warns against creating separate content for every variation to manipulate generative AI responses. A set of 20 near-identical pages for 20 phrasings is a liability.

The same pages then serve ChatGPT, Perplexity and Copilot, which reward the same plain, specific writing.

Mostly the writing. The table shows a typical service page before and after. The example is illustrative; each row is a standard part of the sprint.

These edits follow the strongest results in the GEO research paper (opens in a new tab) by Aggarwal and colleagues (KDD 2024). Adding quotations, statistics and cited sources raised visibility in their benchmark, and keyword stuffing lowered it. It is a lab benchmark, so we treat it as a direction to work in and make no forecast from it.

We also move every fact into HTML text. A price inside a PDF or an image is much harder for an answer engine to read and quote than the same price in a sentence.

$6,000 to $15,000, fixed price, for 10 to 25 pages over 4 to 7 weeks.

Four things move it within that band:

• Page count and depth. Ten service pages with usable copy sit near $6,000. Twenty-five pages that each need a comparison table and a new pricing section sit near the top.
• Research load. If your sales team can share call notes or the questions buyers ask in the first meeting, the question map is quick. Built from Search Console, AlsoAsked and competitor pages alone, it takes longer.
• Facts we have to chase. Prices, timelines and limits are exactly what engines quote, and getting them approved inside a company is often the slowest step. We price for the review rounds you expect.
• Who publishes. We can edit directly in your CMS, or hand over finished copy and JSON-LD for your team to ship.

The prompt panel is included: 30 to 50 buyer prompts, run at the start and end of the sprint in ChatGPT, Perplexity, Gemini, Google AI Mode, Copilot and Claude. Running it every month afterward belongs in an SEO and GEO retainer at $3,000 to $8,000 a month.

Tool and model usage is billed at cost with no markup. The question map and tracker live in your accounts and stay with you.

When the pages you want rewritten are not being crawled, rendered or indexed. AEO edits sit on top of technical SEO and cannot repair it. If your copy loads through client-side JavaScript, your robots.txt blocks OAI-SearchBot or PerplexityBot, or half your service pages are missing from Google's index, start with the SEO and GEO audit. It costs less than a sprint and decides whether a sprint is worth buying yet.

AEO is also the wrong spend in 3 cases:

• You have fewer than about 8 pages worth quoting. A small site needs the pages written first, which is a copywriting or site project.
• Nobody will approve a number. Engines quote specifics. If legal or sales will not sign off a single price range or timeline, the rewrites will be weaker than what you are paying for.
• You want hundreds of new pages. A sprint rewrites pages buyers already need. For a regular publishing pipeline with editors approving each piece, look at content operations.

Not included: link building, paid placement in AI tools, posting on review sites or forums on your behalf, and anything meant to trick a model, such as hidden text or instructions aimed at crawlers. Those tactics break Google's and Bing's guidelines, and the risk outlasts any short gain. We also do not sell general digital marketing.