How agencies and consultants deliver generative engine optimization

The short answer

An agency or consultancy delivers generative engine optimization (GEO) as a cycle: measure how AI assistants answer the client’s buyers today, fix what makes the client hard for them to read, publish a clear public profile, measure again, and report the change. The work is mostly positioning, which is what consultants and agencies already sell. The new part is that the audience includes a machine that reads literally and repeats what it reads.

Why clients are asking for it

Buyers now ask Claude, ChatGPT or Google’s AI Overviews who to consider before they visit a website. The shortlist is made in that answer. A client missing from it loses deals without ever knowing the question was asked. Most clients have no idea what the assistants say about them, and a first measurement is usually the moment they ask for help. Why AI visibility matters sets out the argument in full.

The engagement in five steps

1. Baseline

Write the questions the client’s buyers ask, without the client’s name in them, and put them to ChatGPT, Claude and Google AI Overviews. Record how often the client is named, how often one of its pages is cited, and who is named instead. Audit the client’s site for what assistants need: crawlable pages, a plain description of the business, structured data and an AI-readable summary. How to check whether ChatGPT and Claude recommend your client covers the method step by step.

2. Diagnose

Sort what you found. A client that is never named needs clearer positioning. A client that is named but never cited needs pages that answer the buyers’ questions directly. A client that is described wrongly needs its outdated pages fixed. A competitor named every time shows you which pages to match.

3. Fix

Rewrite the claims an assistant would repeat: one sentence on what the client does and for whom, and the differences stated as facts, not adjectives. Hand the client’s web team a short list of technical fixes with the code to paste. Write the answer pages the diagnosis called for.

4. Publish

Give the assistants one accurate, structured source on the client, approved line by line. This is the step clients worry about most, so agree up front what the profile may say and who signs it off.

5. Measure and report

Ask the same questions the same way, compare with the baseline, and report the change: named more often, cited for the first time, a competitor gone from an answer. Then start the next cycle with the questions that are still lost.

What to report

A GEO report earns renewal when every number traces to something the client can read for themselves:

• The questions asked, and the answers each assistant gave.
• How often the client was named and cited, overall and per topic.
• Who was named instead, and which of their pages were cited.
• What changed since the last run, and which fix explains it.
• The fixes still open, with an effort estimate for each.

Pricing the work

Most agencies price GEO as a retainer with a fixed cycle: a baseline and fix sprint, then a measurement and report on an agreed schedule. Tie the scope to the questions you track, not to hours: “we track 20 buyer questions across three segments” is easier to sell and to renew than “ten hours a month”. Keep the first engagement small, a single segment or product, so the client sees the change quickly.

The tools you need

You can run a first baseline by hand with a spreadsheet and a fresh chat window. It stops scaling at the second client, because every run means asking the same questions in three assistants, recording the answers and comparing them with last time. What an agency or consultancy needs instead:

• One workspace per client, so research, fixes and reports never mix.
• Repeatable checks in ChatGPT, Claude and Google AI Overviews, compared run to run.
• A site audit with fixes the client’s web team can apply without a meeting.
• A public profile the client approves before it goes live.
• Reports under your name, not the tool’s.

How Haycion does this

A client’s AI agent is the client’s public, structured profile that Claude, ChatGPT and other AI assistants read, plus the research that works for the client: their market, competitors and vendors. You build it in the client’s workspace and run its visibility check whenever you want, to see whether AI assistants recommend the client and who wins instead.

Each client gets its own workspace, built from the client’s URL in about an hour, not days. The workspace runs the citation checks in ChatGPT, Claude and Google AI Overviews, scores the client’s site on 17 readiness checks from 0 to 100, and turns every failed check into a fix with an effort estimate and a snippet to paste. The public profile stays unpublished until you publish it, the client’s domain is claimed first, and the agent says only what you and the client approved. Reports are assembled from 18 section types and exported to PDF or Word under your name. With the Client role and Client View, the client sees exactly the parts of the workspace you choose.

Because the same workspace also holds the client’s baseline, competitors and market, GEO doesn’t sit apart from the rest of the engagement: the Strength Matrix tells you which differences to make legible, and the Playbook puts the visibility fixes alongside the client’s other next steps. Public data only. Nothing from inside the client.