Add AEO Services to Your Agency: A Practical Guide

How to package, price, onboard and report AEO for your existing clients, whether you run an SEO, content, PR or marketing agency.

By Gabriel Stanciu, Co-Founder, Bekon AI. 2026-09-24

Adding AEO (Answer Engine Optimization) to an agency means selling one more outcome to the clients you already have: being named inside AI answers, not just ranked in search results. You package it as an audit, a set of fixes and ongoing monitoring on top of the work you already do, price it on scope, and report it with Share of Voice across the AI engines your clients' buyers use.

The demand is already in your inbox. In January 2026, 35 percent of US consumers started product discovery in an AI tool, against 13.6 percent in a search engine, according to a Similarweb consumer panel. And roughly 68 percent of US Google searches ended without a click in early 2026. Your clients feel both numbers. They just don't have a name for it yet. This guide shows how to turn that into a service: what to include, how to price it, how to onboard and report, and how to run it without adding headcount.

Why AEO Is a Natural Add-On for Agencies

AEO builds on the work your team already does, especially if SEO is part of it. Clean structure, strong topical authority and machine-readable markup help a page rank, and they help an AI engine quote it. What changes is the outcome you measure and a few new layers of work.

That overlap is the pitch. Nothing you've built gets thrown away. It gets measured in a second place, one your competitors probably aren't reporting on yet.

What to Include in an AEO Service

Every AEO engagement comes down to three jobs: find out where the client stands, fix what's holding them back, and keep watching as AI answers change. Build your packages around how much of each you take on.

Keep the scope explicit in every tier: how many brands, how many AI engines, how many prompts and how many pages you'll fix each month. Those four numbers drive your cost, and they're what the client is really buying.

How to price AEO without guessing

There's no reliable market rate for AEO yet, so don't borrow one. Price from your own delivery cost instead.

• Start from scope. Brands, engines, prompts and pages fixed per month set your hours. Price the hours, then add your margin.
• Anchor to the retainer you already bill. Sell AEO as an add-on line on the same invoice as your existing retainer, not a separate project the client has to approve from scratch.
• Charge setup separately. The baseline audit and first round of fixes is a one-off. Monitoring is the retainer.
• Don't sell guaranteed mentions. AI engines can answer the same question differently from one run to the next. Tie fees to work delivered and report the trend, not a single answer.

Onboard a Client in Four Weeks

A tight first month earns the retainer. Here's the order that works:

1. Week 1, baseline. Build the prompt set with the client: the real questions their buyers ask, across awareness, consideration and decision. Run it across the AI engines and record who gets named.
2. Week 2, diagnose. Audit the technical signals (schema, llms.txt, AI crawler access, entity signals), find the prompts where competitors win, and list the sources the engines cite for them.
3. Week 3, ship the first fixes. Deploy the quick wins first: the fixes with the highest impact and the lowest effort.
4. Week 4, re-scan and report. Run the same prompt set again, show baseline against now, and agree the monthly cadence.

Use the same prompt set every month. If the prompts change, you can't tell a real shift in visibility from a change in how you measured it.

How to Pitch AEO to Your Existing Clients

Don't open with the acronym. Open with the answer. Ask ChatGPT the question their best customer would ask, on the call, and show them who it recommends. If it isn't them, you don't need a slide deck.

Then connect it to what they already pay you for: the same foundations, measured in a new place, with a clear first month of work.

“Isn't this just SEO?”

Partly, and that's the point. AEO runs on SEO foundations, but it's measured by whether the client appears inside an answer, not where they rank in a list. A client can hold a top organic position and still be missing from the AI answer to the same question.

“Will AI search last?”

Discovery is already moving. Gartner projected that traditional search volume could fall by about 25 percent by 2026, a forecast rather than a settled figure. Either way, the buyers are asking AI today.

Gartner described generative AI tools as “substitute answer engines” for traditional search. Read Gartner's forecast.

“How will we know it's working?”

Show the baseline from week one and re-scan the same prompts every month. Visibility, Share of Voice and citations either move or they don't, and the report shows which fixes shipped in between.

What to Report Every Month

Keep the report short and comparable month to month:

• Visibility score per AI engine. Where the client is named, and where it isn't.
• Share of Voice against named competitors. The number that tells the client whether they're winning their category.
• Mentions versus citations. Being named and being linked as a source move independently.
• Prompts won and lost. The buying questions where the client gained or dropped a place.
• Fixes shipped. What you deployed this month, so movement is tied to work.
• Accuracy. Anything the engines got wrong about the brand, from pricing to the category.

Not an SEO Agency? AEO Still Fits

AEO isn't only for SEO shops. Each kind of agency already owns a piece of it:

• Content agencies. Answer-first articles, question-style headings and FAQs are the content engines quote. You're already writing it; now you measure whether AI uses it.
• PR agencies. AI engines lean on the sources they trust. Earning mentions on those sources is the work you already sell, with a new way to prove it.
• Performance and full-service agencies. Add AI search as a reported channel next to paid and organic, with Share of Voice as the headline number.

The packages, onboarding and reporting in this guide work the same way. Start with the piece of the loop your team already does best, and partner or use a platform for the rest.

Train Your Team Without Hiring

If your team already does SEO or content, it has most of the skills. The gaps are narrow and learnable on a live client:

• Prompt research. Writing the questions buyers really ask AI, grouped by buying stage.
• Technical AEO. Schema, llms.txt, AI crawler access and entity signals.
• Answer-first writing. The direct answer at the top, headings that match real questions.
• Reading AI answers. Telling a mention from a citation, and spotting when an engine gets the brand wrong.

Pick one pilot client, run the four-week onboarding, and write down what you learn as your internal playbook. Our glossary and free GEO guide cover the vocabulary your team will need.

Run AEO for Every Client with Bekon

Doing all of this by hand means typing prompts into six AI engines, one client at a time. Bekon runs the loop for you: it measures, diagnoses, ships the fix, and keeps tracking, across ChatGPT, Gemini, Claude, Grok, DeepSeek and Perplexity.

• Every client in one account. The Enterprise plan includes multiple brands, so each client's visibility lives in the same Bekon account.
• White-label reporting. Send clients reports under your agency's brand.
• Benchmark and diagnose. Competitor Benchmark shows who wins each prompt and the sources AI cites for them.
• Ship the fix. Technical Improvements ranks every fix by impact and deploys through the Cloudflare integration. Content Studio drafts the answer-first content.
• Keep watch. A Watch workflow re-scans on the schedule you set and alerts you only when something material changes. Coming soon: Maintain drafts each fix and waits for your approval before it ships.
• Custom models and API access. Choose the engines each client cares about, and pull the data into your own reporting.

Agencies run on the Enterprise plan, from