How to Brief an Agency for GEO: RFP Checklist That Demands Measurement

A GEO agency brief should specify buyer questions, engines, baseline measurement, competitive cited-instead sources, deliverables, and re-probe cadence — not keyword lists and “rank #1 in ChatGPT” guarantees. Use this checklist to hire or manage a Generative Engine Optimization partner without fabricated citation lifts.

How to brief an agency for GEO is different from pasting last year’s SEO RFP and swapping “keywords” for “AI.” Generative Engine Optimization work succeeds or fails on whether engines name or cite you for real buyer questions — and whether the agency can prove movement with the same prompts before and after. This brief template forces scope, measurement and honesty up front so you do not buy promises of guaranteed ChatGPT rankings.

What the brief must decide before you talk tactics

1. Business outcome — which product lines or markets matter if AI recommends a competitor.
2. Buyer-question set — 15–40 commercial prompts (best-of, alternatives, pricing, use-case). Own this list; the agency may refine it, not invent a secret set you never see.
3. Engine set — ChatGPT, Perplexity, Google AI Overviews (and any others your buyers use). State which are in-scope for year one.
4. Competitive set — brands and third-party sources you expect to appear; leave room for “cited-instead” domains the baseline discovers.
5. Constraints — what the agency may publish, legal review, brand voice, markets, and languages.

How to build the question library: buyer prompt sets for AI visibility audits. Agency vs traditional SEO framing: GEO vs traditional SEO agency.

RFP sections that separate real GEO from slideware

Scope-of-work template (copy into your RFP)

• Prompt governance — client-approved library; change control when questions are added/retired so scores stay comparable.
• Baseline package — one multi-engine baseline within N days of kickoff; raw outcomes included.
• Monthly operating loop — re-probe → gap prioritisation → drafts/edits → publish (client or agency) → re-probe → report.
• Entity hygiene — align brand name, category and product facts on owned surfaces; see brand entity consistency.
• Content standard — answer-first structure for gap pages; what content AI engines prefer to cite.
• Schema / technical — only where it describes real entities; schema for AI citations.
• Reporting — per-engine rates, top gaps, work shipped, measured moved / unchanged / mixed. No fabricated lifts.

Questions to ask every GEO agency finalist

• Which engines do you probe live today, and which are “coming soon”?
• Can we see a redacted sample report with prompt-level outcomes and dates?
• How do you handle answers that vary run-to-run — what is N before you call a win?
• Who owns the content CMS publish rights and legal review SLAs?
• What happens when presence does not move after a fix — do you report it?
• If we use our own software (or switch tools), can the program continue on the same prompt set?

What not to put in the brief

• “Get us ranking #1 in ChatGPT / Perplexity” as a contractual KPI.
• Keyword lists without buyer questions that map to how people ask AI.
• Success defined only as traffic or classic rank while paying for GEO.
• Permission to invent before/after case studies without baseline absence and later re-probe evidence (citation-lift standards).

In-house vs agency vs software (who owns what)

Agencies bring prioritisation, writing/ops capacity and client communication. Software owns scheduled multi-engine probes, storage, competitive extraction and re-measurement so neither side relies on manual screenshots. A clean brief states that split. Agency productisation detail: agency GEO white-label workflow. Scoring transparency if they report a “visibility score”: multi-engine AI visibility score methodology.

How jujuGEO fits a measurement-first agency brief

jujuGEO can sit on the client or agency side as the probe and fix-draft layer: live ChatGPT, Perplexity and Google AI Overviews (Gemini coming soon), cited-instead domains, gap drafts, and re-probes after publish. That keeps the agency accountable to the same prompt contract you wrote into the RFP. Start with a free AI visibility check to see whether a sample gap even exists, then require multi-engine baselines in the paid engagement. Related: how to choose an AI visibility tool.