GEO Pricing: What Generative Engine Optimisation Should Cost

A lean, properly scoped GEO retainer in the UK typically starts around £1,000 to £1,500 a month, rising for competitive categories, multiple locations, or businesses that want prompt tracking across several engines. Add a separate one-off cost if the underlying website needs technical work before any of it can land. One-off “AI visibility” packages exist too, but they diagnose the problem rather than fix it.

Quick links

• How much does GEO cost?
• What should a sensible GEO scope include?
• Why is GEO priced as a retainer, not a one-off audit?
• What actually moves the price up or down?
• Why do one-off GEO hacks underperform a proper programme?
• FAQ

How much does GEO cost?

A properly scoped GEO retainer for a UK SME typically starts around £1,000 to £1,500 a month, with more complex or multi-location businesses running higher, and a separate one-off line if the site itself needs rebuilding before any of the work can land.

Cheap “AI visibility” packages exist, usually a single audit or a one-time content pass sold as the whole service. They are not a con, exactly. A single audit tells you where you stand today, which is genuinely useful, but it does little to shift where you end up in six months. If a pitch stops at a PDF, ask what happens the month after you receive it.

For context, not as a sales pitch, our own three retainer tiers give a sense of the shape. A Foundation scope suits a small team just starting to take AEO seriously, priced from £1,000 a month. A Growth tier suits a business running several service lines with a sales team to feed, from £1,500 a month. A custom Scale tier covers multi-location or multi-brand operations with a genuine PR angle attached. Full detail on what sits inside each is on our pricing page. We cover the same cost question from the agency side, including what a fair scope should look like, in what an AEO agency actually does.

If the site cannot support the work, budget separately for that too. A JavaScript-heavy single-page app that crawlers cannot read, or a platform with no sensible route to add schema, needs fixing before content and citation work has anything to land on. That is normally a website project, quoted and invoiced on its own.

What should a sensible GEO scope include?

A sensible scope covers passage-level content work, technical and crawler access, entity and citation building, and ongoing prompt monitoring. Drop one and the other three do less than they should. It is the same work a GEO agency should be doing for the fee, whichever of the two acronyms sits on the invoice.

Passage-level content work. Generative engines extract and quote specific passages rather than rewarding a whole page for existing. Researchers from Princeton, Georgia Tech, the Allen Institute for AI and IIT Delhi tested this directly: adding citations, statistics and clearer structure at the passage level lifted visibility in generative answers by up to 40%, according to their paper introducing the term Generative Engine Optimization. That is restructuring work on the paragraphs most likely to answer a real question, not simply publishing more of them.

Technical and crawler access. None of the content work matters if the engine cannot reach it. Most AI crawlers read the initial HTML and do not execute JavaScript, so a site that renders its key content client-side can look complete in a browser and near-empty to the bot reading it. This gets checked before a word of copy changes.

Entity and citation signals. Consistent business details across directories and profiles, genuine mentions in the press or industry publications, and reviews that name what you do and for whom. This is the slowest part of the work, and the part a cut-price package tends to skip.

Ongoing monitoring. Testing the buyer questions that matter across engines, month by month, rather than filing one audit away and hoping it still holds true in six months. It rarely does.

Why is GEO priced as a retainer, not a one-off audit?

Because the thing you are paying to move, how confidently a model names you and how often, changes slowly and needs repeated reinforcement rather than a single sprint of fixes.

Models retrain on their own schedule, not yours. A round of content and technical changes can improve what a live-search engine like Perplexity surfaces within weeks, because it searches the current web on most queries, according to Perplexity’s own explanation of how it works. An engine like ChatGPT leans more on a frozen training snapshot between updates, so the same changes take longer to register and can sit unrewarded until the underlying model refreshes. Either way, the work needs to still be there, and still be true, whenever that refresh happens.

Entity trust compounds in a similar way. One consistent mention of your business does little. Twenty consistent mentions, built up over months across genuinely different sources, start to look like the kind of confirmation a model treats as reliable. That is a rate of accumulation, not a single event, which is why the pricing follows the same shape. We go deeper on why that trust builds slowly in our explainer on what AEO actually is.

What actually moves the price up or down?

Five things typically move a GEO quote: how competitive the category is, how much existing content needs rework rather than rewriting from scratch, how many locations or brands need consistent entity signals, how many engines and prompts get tracked monthly, and whether the underlying site needs technical work first.

• Category competitiveness. A niche B2B service with little AI-search activity yet costs less to move than a crowded consumer category where competitors are already doing this work.
• Content debt. A site with a handful of thin, outdated pages needs more rework than one with solid content that mainly needs restructuring.
• Location and brand complexity. One site, one location, is simpler and cheaper to build entity consistency for than five locations under three trading names.
• Tracking depth. Monitoring three engines against a handful of core prompts costs less than tracking a dozen engines against a full buyer-question library.
• Technical debt. A site already built on solid, server-rendered foundations needs less upfront technical work than one that has to be partly rebuilt before anything else can start.

None of these is disqualifying on its own. They are the levers an honest quote should walk you through, rather than a single flat number applied to every business regardless of where it is starting from.

Why do one-off GEO hacks underperform a proper programme?

Because a single burst of changes fades once a model recrawls or retrains, while the trust that gets a brand named consistently is built from repeated signals over time, not a one-time push.

The stakes are high enough that this is worth taking seriously rather than treating as a box to tick once. Half of B2B software buyers now start their research with an AI chatbot rather than a search engine, up from 29% just eleven months earlier, according to G2’s Answer Economy report, based on a March 2026 survey of 1,076 B2B decision-makers. Sixty-nine per cent of those buyers said AI guidance led them to pick a different vendor than they otherwise would have. That is not a gap you close with a single content sprint and move on.

The research behind the term backs this up structurally. The same Generative Engine Optimization paper found the biggest gains came from combining techniques, structure, citations and statistics together, rather than applying any single trick on its own. A one-off hack means picking one lever and pulling it once. A programme means pulling several together, checking what moved, and adjusting the next month based on what did not. It costs more upfront. It costs less over a year, because none of it needs redoing from scratch every time a model updates.