Six weeks ago, three agencies had published a priced guide to answer engine optimization. Today, at least nine have: Stackmatix has two separate posts on the topic, alongside Digital Elevator, Fuel Online, Discovered Labs, Conductor, Higoodie, and Space and Story. It must be said, this is one of the fastest shifts we have tracked in any part of the AI-search category this year, and the reason is not mysterious. Once a handful of competitors post real numbers, staying quiet about your own price stops looking discreet and starts looking evasive.
So here is what answer engine optimization actually costs right now, drawn directly from what these agencies have chosen to publish, not from an internal estimate dressed up as market data.
What is answer engine optimization, in plain terms
Answer engine optimization, AEO, is the work of making sure a business is described accurately when someone asks ChatGPT, Perplexity, or Google's AI Overviews a question that relates to it. Classical SEO earns a spot on a results page. AEO earns a mention, or better, a citation, inside the answer itself, before the reader ever clicks through to a website.
The distinction matters for pricing because the work looks different from a normal SEO retainer. An AEO engagement usually blends three separate jobs, and how many of the three a package actually covers is the single biggest driver of what it costs.
One-time AEO audit: $1,200 to $4,500
A one-time audit answers a narrower question than a full program: can an AI system currently read, parse, and quote this site at all? That covers whether the site blocks AI crawlers outright, whether its content is wrapped in schema markup an answer engine can parse, and whether its most important pages are structured as extractable passages rather than long, unbroken paragraphs.
Discovered Labs and Conductor both publish figures in this $1,200 to $4,500 range for a standalone audit with no ongoing retainer attached. For a business that has never had this kind of technical check, this is the natural starting point, since it tells you whether the problem is technical (fixable in weeks) or a genuine content gap (a longer project).
Entry-level monthly retainer: $1,000 to $2,500
Once the technical foundation is sound, ongoing AEO work usually means producing content built to be quoted, not just to rank, alongside monitoring which AI platforms are actually citing the site and how often. Digital Elevator and Fuel Online both price their entry tier in the $1,000 to $2,500 monthly range, aimed at smaller sites with a narrower content calendar and a limited number of target platforms rather than full coverage across every major answer engine at once.
Mid-market: $2,000 to $8,000 a month
Between the entry tier and full enterprise coverage sits a mid-market band, priced at $2,000 to $8,000 a month according to Stackmatix's published guide. This tier typically adds broader platform coverage (ChatGPT, Perplexity, and Gemini rather than one or two), a heavier content cadence, and active citation building on third-party sites an answer engine already trusts.
Enterprise: $10,000 to $25,000 or more
At the top end, Discovered Labs prices its full-execution tier at $10,000 to $20,000 a month, which it says includes twenty or more articles monthly, dedicated technical schema work, and structured citation building across a wide source base. Other agencies quote enterprise engagements running to $25,000 or beyond for multi-brand or national accounts. This tier is built for scale a single-location or regional small business almost never needs.
Project-based pricing: $5,000 to $15,000
Not every engagement is a monthly retainer. Some agencies, referenced in Conductor's and Fuel Online's pricing guides, offer a fixed-scope project instead: a defined set of deliverables, for example a technical fix plus a specific number of optimized pages, for $5,000 to $15,000, with no ongoing commitment once the project closes.
Why the range is this wide
The honest answer is that "AEO" is not one service. It is three, sold under one name, and the price mostly reflects how many of the three a given package actually includes:
- Technical access. Can an AI crawler reach the site and parse its content at all? This is the cheapest problem to fix and the one a one-time audit catches.
- Quotable content. Is the content written as a direct, self-contained answer an AI system can lift, rather than a page that requires the reader to piece the answer together across several paragraphs?
- Citation building. Does the brand show up on the third-party sources, forums, review sites, and industry directories, that answer engines already treat as trustworthy?
A cheap package usually covers only the first. An expensive one covers all three, continuously, across every major platform.
Which tier actually fits a small business
Here is the point most priced guides skip, perhaps because it does not favor the higher tier: a single-location service business rarely needs the enterprise program. Twenty articles a month and dedicated citation-building infrastructure make sense for a company competing nationally against a dozen well-funded rivals. They are excessive for a business that mainly needs to show up correctly when a local customer asks an AI assistant a specific question.
The sequence that makes sense for most small and mid-size businesses is straightforward: start with the audit, at $1,200 to $4,500, to find out whether the problem is technical access, thin content, or a citation gap. Only once that is known does it make sense to commit to a retainer, and the retainer should match the gap the audit actually found, not the biggest package a given agency happens to sell.
The bottom line
AEO pricing has gone from opaque to unusually transparent within a single year, which is good news for anyone evaluating this work for the first time. The numbers above, sourced directly from the agencies naming them, give a real range to check any quote against. If a proposal falls far outside $1,200 to $25,000 depending on scope, ask what specifically is being delivered before agreeing to anything.