How Agencies Add AEO as a New Service Line
How a digital agency packages, prices and delivers AEO: a paid diagnostic, scoped monthly tiers, clear team roles, checks before publishing, honest reports.

On this page
- Why are clients asking agencies about AI search now?
- What does an AEO service line include?
- Why should the first AEO engagement be a paid diagnostic?
- How should an agency price AEO without guessing?
- Who on your team does the AEO work?
- What does a month of AEO delivery look like?
- A worked example (made up for illustration)
- What checks should run before AEO content goes live?
- What technical work does AEO need?
- How do you report AEO progress without promising results?
- Where does OnlyAEO fit?
- How we tested
Why are clients asking agencies about AI search now?
Clients ask because AI answers now sit between their buyers and their website. In Alphabet's Q2 2026 earnings message, published in July 2026, Google CEO Sundar Pichai said AI Mode has passed 1 billion monthly active users.
Fewer of those searchers click through. In a March 2025 study of Google browsing, Pew Research Center found that users who saw an AI summary clicked a traditional result in 8% of visits, against 15% for users who saw none.
Their competitors are already moving. HubSpot's State of AEO 2026 report found that 58% of marketers say their businesses are optimizing content for answer engines. The same report found 44% of marketers have made a business purchase based on brands they discovered through answer engines.
For an agency, the question arrives in an account review: why does a competitor get named in ChatGPT, and we don't? An agency with a defined answer engine optimization (AEO) offer can reply with a scope and a start date.
What does an AEO service line include?
An AEO service line is a set of deliverables your team can produce and prove every month. The table shows what each one asks of your people.
| Deliverable | What the client gets | What it needs from your team | How you prove it |
|---|---|---|---|
| Paid diagnostic | Where AI engines name, cite or recommend the brand today | Strategist, analyst, client analytics access | Baseline answers on file |
| Buyer-question pages | New pages and rewrites for the mapped questions | Writer, editor, client subject experts | Live URL that passed the checks |
| Technical access | Pages AI search crawlers can reach and search engines index | Technical SEO, client developers | Crawler rules reviewed, index status confirmed |
| Off-site presence | Accurate listings on the third-party sites the engines cite | Outreach or PR, led by the account lead | Site list with the change made on each |
| Monthly report and review | Movement by question and persona, and next month's plan | Analyst, strategist, account lead | Plan approved in writing |
The off-site row is the one agencies most often leave unowned, because it falls between SEO, PR and partnerships. Name its owner before you sell it.
Why should the first AEO engagement be a paid diagnostic?
The first engagement should be a paid, fixed-scope diagnostic, because you can't quote a monthly programme before you know how far behind the client is.
- Baseline. The client's buyer questions run through the AI engines they care about, every answer saved. Without it, no later report can show movement.
- Buyer-question map. Questions grouped by persona and buying stage, drawn from sales calls, support tickets and search data.
- Gap list. For each question: who gets named instead, which pages the engines cite, and what the client lacks.
- Prioritised plan. The questions to work on first, ranked by commercial value and distance to close.
- Qualification. Whether the client can supply expert input, approve content on time and give technical access, learned before you sign a retainer.
Persona research is where most diagnostics are thin. OnlyAEO researches buyer personas from the brand's market (role, company type, goals, pain points, decision criteria), because each persona gets a different answer.
Our list of AEO discovery call questions covers what to ask before you scope one.
How should an agency price AEO without guessing?
Price AEO in two parts: a fixed fee for the diagnostic, then a monthly programme sold in tiers. Every figure you quote should trace back to scope you can list.
- Fix the diagnostic's scope. Name how many questions, engines and competitors it covers, so the fee pays for known work.
- Scope the programme on coverage. The unit is the set of buyer questions and personas you own, plus the work types that cover them: pages, technical fixes, listings, video.
- Use tiers to stop scope creep. Each tier names its coverage and work types. A new persona, market or language moves the client up a tier instead of becoming unpaid work.
- Price on scope and outcome measures. A per-article rate pulls both sides toward volume, and every extra page needs another full round of checks. That volume is what Google's spam policies target (see the checks below).
- Leave guarantees out. The reporting section covers what to commit to instead.
When a client won't commit monthly, offer a short paid pilot on a few questions. Here is how to run a pilot that turns into a retainer.
Who on your team does the AEO work?
Most AEO work sits with roles an SEO or content agency already has; what changes is who owns each part.
- Strategist. Owns the buyer-question map and the monthly plan: which questions, for which persona, with which work type.
- Writer and editor. Own the pages, from brief through the checks before publishing.
- Technical SEO. Owns crawler access, indexing, templates and structured data, starting with the diagnostic's findings.
- Analyst. Owns the question set and the reruns, runs the measures in the reporting section, and traces each change to a page.
- Account lead. Owns approvals, expectations and the monthly review, and turns down requests for guarantees.
The tools each role needs are mapped in the AEO tech stack for a digital agency.
What does a month of AEO delivery look like?
A month runs from a fresh measurement to a review with the client, with research, writing and checks in between.
- Rerun the question set. Same questions, same engines, answers saved with prompt and date.
- Read what the engines cited. Open each cited page and note what it says that the client's pages don't.
- Pick the month's questions. The strategist chooses them from the diagnostic's prioritised plan.
- Brief and write. Each page answers its question at the top, one idea per section. Brief against the content structure that gets cited by AI.
- Fix blockers. Crawler rules, indexing issues, and wrong or missing third-party listings.
- Check and approve. Run the checks in the next section.
- Review together. What moved, what didn't, and next month's questions.
OnlyAEO runs a similar cycle with its own clients. It starts by learning the brand's voice, facts and buyers and connecting publishing; then each month brings a fresh report, articles, videos and listings for approval, and a joint review.
A worked example (made up for illustration)
Take a hypothetical B2B payroll software client selling to finance leads. When a buyer asks which payroll software pays contractors abroad, the engines name competitors and cite a review site, never the client.
The client's page on contractor payments is a thin feature list. The writer rebuilds it to answer the question in its opening paragraph, with a table of supported countries and payment methods from the client's product team.
The technical SEO confirms the page is indexable and open to AI search crawlers, and the product manager approves it. If the next rerun shows no change, the off-site work moves up, starting with an accurate listing on that review site.
What checks should run before AEO content goes live?
Every page should pass a fixed set of checks before it goes live. Google's own guidance supplies the reasons for most of them.
- Claim check. Every number and outside fact matches a source you can link. Cut the rest.
- Added-value check. Google's spam policies say "Scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings and not helping users". Generating many pages with AI tools without adding value is one of their examples.
- Automation check. Google's helpful content guidance flags extensive automation used to produce content on many topics, and says AI generation used mainly to manipulate rankings violates its spam policies.
- Voice check. The page reads like the brand.
- Link check. Every link resolves.
- Date check. Change a page's date only when its content changed; Google lists changing dates to make pages seem fresh as a warning sign.
- Client approval. A named person at the client signs off.
For comparison, OnlyAEO runs five checks before anything goes live: a claim check against evidence, a humanizer pass in the brand's voice, a link validator, an independent score of 85+ from a separate scorer, and human approval.
What technical work does AEO need?
Most AEO technical work is standard SEO hygiene plus access for AI search crawlers.
Google's documentation on AI features is direct: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." Google also says no new AI text files or special schema.org structured data are needed for its AI features, so don't sell one as a requirement.
- Indexing and snippets. A page must be indexed and eligible to show in Google Search with a snippet to be a supporting link in AI Overviews or AI Mode, Google says.
- robots.txt and CDN rules. Google lists allowing crawling in robots.txt and by any CDN or hosting infrastructure, so review the CDN's bot settings too. See the robots.txt mistake that blocks AI crawlers.
- OpenAI's crawler. OpenAI's bots page says sites opted out of OAI-SearchBot won't be shown in ChatGPT search answers, and recommends allowing it. A client can allow OAI-SearchBot while disallowing GPTBot for training.
- Anthropic's crawler. Anthropic's crawler help page says disabling Claude-SearchBot stops it indexing a site for search, which may reduce visibility in search results.
Google counts traffic from AI Overviews and AI Mode inside Search Console's Performance report, under the Web search type, so it arrives mixed into ordinary search figures.
How do you report AEO progress without promising results?
Report what you can observe each month: whether AI engines mention, cite or recommend the client for each buyer question. Guarantee none of it.
- Mention rate. The share of saved answers that name the client.
- Citation share. How often the client's pages are cited as sources, against competitors.
- Recommendations, counted apart. OnlyAEO counts answers where AI recommends the brand separately from answers that only mention it or only link to it.
- Recall across runs. AI answers vary between runs, so ask each question more than once. OnlyAEO's platform runs every prompt twice per engine, with ChatGPT, Claude and Gemini on by default and DeepSeek and Grok available to add.
Citation share, mention rate and LLM recall frequency are the measures in OnlyAEO's monthly reports. For layout, see the monthly AEO report for agency clients.
Set the timeline before the first invoice. With OnlyAEO's clients, first measurable results usually take at least 60 days, and visibility then compounds over the following months as more pages, videos and mentions are picked up.
OnlyAEO does not offer a results guarantee and does not promise specific rankings or citations. Its terms give the reason: AI models and their ranking behaviour change continuously and are outside its control.
Google takes the same line: a page that meets all its requirements may still not be crawled, indexed or served, because indexing and serving isn't guaranteed.
Put the same position in your contract, with measures and reporting dates as the commitments; AEO deliverables and SLAs in the client contract covers the wording.
Where does OnlyAEO fit?
OnlyAEO is an Answer Engine Optimization (AEO) platform that tracks where AI names a brand and creates the content to change it. It works directly with brands, and its team can run the platform for them: on a managed plan, the team does the AI search work, and the brand's team reviews and approves every piece before it goes live.
That work covers ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Microsoft Copilot, Grok, DeepSeek, Meta AI (Muse) and Instinct. An agency that wants an AEO line builds it with its own people and process, as set out above.
How we tested
On 14 October 2026, before writing, we ran our engine check. We asked Claude and ChatGPT this article's question, read every page they cited in full, and turned each search they ran into a section.
Claude searched the web, and its searches included "AEO agency service pricing packages retainer 2026". It cited other AEO agencies' own pricing pages, written for buyers comparing costs. ChatGPT answered without searching.
Those pages said little about how an agency staffs and runs the line, so this article covers roles, delivery and checks. The lesson for agencies: AI answers about AEO services lean on agencies' own pages that explain scope and process, so publish a clear, factual service page of your own.
More questions about adding an AEO service line
Does AEO replace an SEO retainer?
No, it sits beside one, because the same pages serve both. Google says clicks from results pages with AI Overviews are higher quality, meaning visitors are more likely to spend more time on the site.
Does every Google search show an AI summary?
No. In Pew Research Center's March 2025 study, 18% of the Google searches studied generated an AI summary. Check which of a client's buyer questions trigger one before setting expectations.
Do Google's AI features still send traffic to websites?
Yes. Google said in July 2026 that it is sending billions of clicks to websites every week through AI features in Search, so indexable pages can earn visits as well as mentions.




