This guide helps organisations evaluate, budget for and purchase Generative Engine Optimisation (GEO) with confidence. It complements our pricing benchmarks and vendor checklist by focusing on the decision itself.
What you are actually buying
GEO is not a keyword service and it is not “SEO for ChatGPT”. You are buying four connected outcomes: retrievability (your content can be found), clarity (engines understand your brand as an entity), credibility (engines trust you), and visibility (engines cite you in answers). Any credible programme should be structured around these four, with measurement attached to each.
The questions to answer before you start
- Which engines matter to your buyers? ChatGPT, Gemini, Perplexity, Google AI Overviews and regional platforms behave differently. A programme optimised for the wrong engine wastes budget.
- What is your current baseline? You cannot judge a programme without a pre-work measurement of citation rates across your priority prompts. Insist on one.
- Who owns the work? GEO touches technical infrastructure, content, PR and analytics. An agency can coordinate, but your team must be able to action the outputs.
- What is the time horizon? First retrievability changes appear in weeks; citation-rate movement typically needs 2-3 months; compounding authority work runs 6-12 months.
What a credible proposal contains
A credible GEO proposal includes a defined prompt portfolio (the 20-50 queries that matter to your market), a baseline measurement method, a per-platform breakdown of priorities, concrete technical and content workstreams, and reporting cadence. If a proposal promises guaranteed citations or mentions “training the model on your content”, treat it as a red flag.
How to budget
Budget according to the scale of your content and technical estate, not page count alone. Organisations with complex sites, multiple brands or multilingual requirements pay more for the same programme because the audit and implementation surface is larger. Our pricing and ROI benchmarks and ROI calculator provide the working numbers.
How to measure success [our AI citation benchmarks
Use one primary metric — citation rate across your prompt portfolio — and a supporting set: retrievability of key pages, entity-consistency score, share of voice against competitors in answers, and quality of cited sources. Measure monthly, against the fixed baseline, and demand the raw data behind any report.
Next steps
Review the GEO implementation playbook for what happens after you buy, the vendor evaluation checklist for comparing suppliers, and the agency vs in-house comparison for operating model decisions. When you are ready, a free audit will give you the baseline this guide asks for.