GEO for agencies: how to offer generative engine optimization as a service

Four deliverables, repeated per client. A prompt set of twenty to fifty buyer questions with a baseline showing which domains each AI engine cites today. A technical audit of AI crawler access: robots.txt groups, CDN bot settings, and whether page content exists in the static HTML. A stream of answer-first pages, each targeting one prompt, published on the client's own domain. And a monthly report re-running the prompt set with citation share per engine alongside Search Console impressions for conversational queries.

Everything else in a GEO pitch, from llms.txt to schema to PR, supports those four. They are what the client will judge.

Onboard by connecting Search Console, listing competitors, and writing the prompt set with the client's sales team. Run the citation gap analysis and crawler audit in the first two weeks and fix access problems before writing anything. Then produce pages in reviewed batches, get client approval, publish on the client's domain, submit to Google and Bing, and re-run the prompt set monthly. The cadence is monthly; the review gate is weekly.

The bottleneck in agency GEO is page production and measurement across many clients. SerionFlow is built around one project per client: each has its own site scan, competitor set, opportunity map, review-first drafts, and Search Console connection. Pages are served on the client's domain through a Vercel rewrite or Cloudflare Worker at a configured path, so the client's CMS is untouched and the routing can be removed if the engagement ends. Pro covers 3 projects and 70 pages a month at $129; Agency covers 10 projects, a 75-draft launch batch, and 150 pages a month at $399, with Bing Webmaster Tools, IndexNow, and AI-related query signals on both.

For exhaustive multi-engine citation tracking across large prompt sets, pair it with a dedicated tracker; SerionFlow's AI visibility monitoring is sampled.

Price on a retainer that names the prompt set size, the page volume per month, and the reporting cadence, and state explicitly that citations are measured, not promised. A workable structure is a setup fee covering the baseline and crawler audit, then a monthly fee covering a fixed number of reviewed pages and the monthly re-run. Tie tiers to prompt-set size and page volume rather than to hours.

Lead with citation share for the fixed prompt set per engine, month over month. Follow with Search Console impressions and position for the conversational queries the prompts correspond to, and the list of pages published with the prompt each targets. Close with the next month's prompts. SerionFlow's per-project performance view and weekly flywheel recommendations supply the second and third sections; the citation re-run supplies the first.

That AI engines choose sources and no one can force a citation. That the fastest gains come from prompts where the client already has weak visibility, and from fixing crawler access that is often blocked by default. That results show as a trend over three months. Agencies that say this up front keep clients; agencies that promise citations lose them at the first report.