Is GEO a scam?

The case against, made properly

1. There is no ranking, so there is nothing to rank for

This is the strongest argument, and it is empirical rather than rhetorical. SparkToro's Rand Fishkin, working with Patrick O'Donnell of Gumshoe.ai, put 12 brand-recommendation prompts through ChatGPT, Claude and Google's AI Overviews between November and December 2025. Six hundred volunteers ran each prompt 60 to 100 times, 2,961 runs in total, on default personalised settings rather than pinned parameters, because that is what real users have.

There's a <1 in 100 chance that ChatGPT or Google's AI, if asked 100X, will give you the same list of brands in any two responses.

Same list, in the same order? Roughly 1 in 1,000. Fishkin's summary of what this does to the tooling market is unimprovable: any tool that gives you a ranking position in AI is "full of baloney".

A discipline organised around improving a position cannot survive the discovery that the position does not exist. See the graded record.

2. The tools contradict each other, and cannot all be right

Paul Dyer, chief executive of /prompt, told Digiday: "If you use three different tools and give them the same prompts, you get three different answers." That sounds like a maturity problem. Kevin Indig's data suggests it is structural. Analysing 3.7 million citations from 20,000 prompts, he found only 2.37% of cited URLs appear across all three of ChatGPT, Perplexity and Google AI Overviews, and 91.07% appear in exactly one.

A single blended "AI visibility" percentage is therefore averaging three populations that barely overlap. The number can move because one engine changed, and tell you nothing about the other two. Graded record.

3. Someone built the tool, sold it, and concluded it should not exist

This is the piece of evidence we find hardest to argue with, because it runs against the speaker's own interest. Benjamin Houy launched Lorelight, a GEO tracking tool, in April 2025. He shut it down about seven months later. His public reasoning:

Customers were churning because the product didn't change what they needed to do. There's no secret GEO strategy. AI models reward the same fundamentals that already drive SEO and PR. GEO makes more sense as a feature within existing SEO platforms, not as a standalone category.

Sitecore's acquisition of Scrunch AI in June 2026, and Adobe's agreement to acquire Semrush for about $1.9 billion, both point the same way: this becomes a feature inside a bigger suite. Graded record.

4. The industry's headline numbers do not survive contact with their sources

We tried to verify the statistics that this field repeats most often. Three of them lead to no primary source at all: the claimed correlation between YouTube mentions and AI visibility, the "Reddit comments get cited 12x more" line, and the market-size projection that appears in dozens of guides. The single most-quoted figure, the 40% uplift, comes from a real paper measuring a research benchmark, and is routinely presented as a measurement of ChatGPT.

John Mueller of Google, on the general pattern: "The higher the urgency, and the stronger the push of new acronyms, the more likely they're just making spam and scamming." Lily Ray, more bluntly: "Anybody that's pretending to be an expert in [GEO], they're lying."

5. Publishers with real traffic are not convinced

Neil Vogel, chief executive of People Inc., one of the largest digital publishers there is: "This whole conversation is not rooted in any fact. If there's anyone who can prove to me that they can optimize the output of these rapidly developing tools, I would love to talk to them."

Where the sceptics are right

• There is no AI ranking. This is settled by measurement, not debate. Anyone selling you a position is selling you noise.
• Most GEO tactics are SEO and PR tactics. Be authoritative, be mentioned in places that matter, be clear and quotable. That list predates ChatGPT by twenty years.
• The measurement layer is not ready. Google's own AI performance report in Search Console gives impressions with no clicks, no click-through rate and no queries. OpenAI ships no publisher analytics at all.
• Most "case studies" cannot be checked. No control group, no disclosed method, published by the party selling the service.

Where we think they overshoot

"It is all just SEO" is a comfortable position that quietly assumes the retrieval surface has not changed. It has. Ahrefs found the proportion of AI Overview citations drawn from the organic top 10 fell from about 76% to 37.9% in six months. If citation increasingly comes from somewhere other than the pages ranking for your query, then optimising only for the pages ranking for your query is, by arithmetic, addressing a shrinking share of the surface.

That does not vindicate the tooling market, and it certainly does not vindicate a 40% uplift promise. It does mean the work is not identical to 2019 SEO, and the honest position sits between the two camps rather than in either.

Note also what Mike King of iPullRank argues, which is not "GEO is nonsense" but something sharper: treating "how do we appear in ChatGPT" as an SEO problem is itself the mistake. The levers run through Wikipedia, Reddit, third-party publications and licensed data partnerships, which is brand and PR work that an SEO budget does not fund. On that reading, GEO is a real budget line and a fake technical discipline.

What we would actually do

1. Stop buying a number. If you need one to report upward, pick the cheapest tool that publishes its methodology, and label it a weather vane in the deck.
2. Be worth citing. Original data, named authors, clear claims. The things that made you citable to humans.
3. Be mentioned where the models already look. Earned media and community presence beat on-page tinkering, according to every large study we could find.
4. Make pages easy to quote. Answer the question in the first three sentences. Put the number next to its source.
5. Measure what you can bank. Referral traffic, branded search, conversions. Not citation share.

None of that requires a retainer with the word GEO in it. Which is, we suspect, why so few people selling GEO retainers write it down.

How to know if you are being cited in AI right now

The honest way to audit your own AI visibility is not to buy a tool. It is to open ChatGPT, Perplexity and Google AI Overviews yourself and search for topics your brand is written about. Run the same prompt five times and record which ones name you and which do not. Do this weekly for a month. You will see volatility and you will see where you appear at all. No tool can be more reliable than your own observation for small samples. If you appear in fewer than three of five runs, ask yourself why that is: are you mentioned in Wikipedia? In Reddit? In industry databases that AI systems have licensed? Are you ranked for that topic at all? The visibility question is not technical; it is editorial. You are cited or you are not, and the reasons are the same ones that make a source citable anywhere: credibility, clarity, and presence where the retrieval surface already draws from.

The budget question: should you care at all?

For most organisations, the answer is probably no, not as a distinct line item. If your brand is not mentioned in third-party sources (industry rankings, news, academic references, subreddits, Wikipedia), then no amount of on-site tinkering or AI-specific tooling will fix that. Conversely, if you are already well-mentioned in sources that AI models draw from (licensed data partnerships, crawled publications), then you are likely already cited more than a more obscure competitor. The work is not distinct from ordinary PR and brand-building. It sits inside an existing budget for earned media and thought leadership. The mistake is creating a new budget line, hiring a contractor with "AI" in their title, and expecting ROI when the actual problem (lack of third-party coverage) remains unfunded and unaddressed. And if your brand is new or unknown, the path is not GEO at all. It is B2B publication placement, analyst inclusion, and community participation. ChatGPT citing you follows from those things, not the other way around.

What changed in the market since this field launched

The gap between market narrative and reality has widened since GEO tools entered the market in early 2024. Three structural shifts matter: first, AI training is increasingly licensed from publishers rather than crawled, meaning the sites ranked by Google get preferential access to training data, not disadvantaged. Second, retrieval citations increasingly come from proprietary partnerships (Reddit, Stack Overflow, The New York Times with OpenAI) rather than live crawls, which means optimising your site for a crawler is addressing the wrong surface entirely. Third, the tooling category is consolidating into suites rather than standing alone: Sitecore bought Scrunch, Adobe agreed to buy Semrush, and SEO platforms like Moz and Ahrefs have embedded AI tracking as a feature, not a separate product line.

The practical implication is that the moment when "build a GEO tool" made sense as a standalone business has passed. That does not mean AI visibility is not worth having. It means the work to get it is not a distinct discipline requiring its own retainer. If you want your brand cited in AI-generated answers, the lever is the same boring thing it was five years ago: be an authority that journalists, influencers and researchers mention first, and make your claims easy to verify and quote. The difference is you are now aiming at AI systems that have privileged access to a narrower set of sources, not open web crawlers that theoretically see everything.

What makes measurement so unreliable, and how to measure anyway

One reason most GEO tools fail the Fishkin test is that they measure citation share, which swings wildly based on user settings, model version and inference-time randomness. Kevin Indig's analysis of citation patterns found only 2.37% agreement across ChatGPT, Perplexity and Google AI Overviews for the same prompt. This means a tool's "you improved from 12% to 18% citation share" claim is not showing you crossed a real threshold—it is showing you crossed a noise floor that is not the same across engines.

The metric that actually works is one you can measure yourself: referral traffic from ChatGPT and Perplexity. If your analytics platform can track URL parameters or HTTP referer, you can see exact traffic from each assistant, which is a real, non-stochastic signal. A brand that moves from zero referral traffic from these sources to measurable weekly traffic is being cited. A brand that sees citation share move from 5% to 7% in a tool's dashboard while referral traffic stays at zero is looking at noise. OpenAI and Perplexity do not expose detailed per-query citation breakdowns, so a tool claiming to do so is either inferring from small samples or fabricating. Referral logs do not lie.

This is why the strongest argument against GEO retainers is not that AI visibility is worthless. It is that you cannot reliably measure it, so paying someone to move it is economically indefensible. For new-product launches or brand repositioning, the moment when "we started appearing in ChatGPT results" first happens is visible in referral logs. For ongoing work, the position is that being cited is a consequence of being worth citing, not a cause you can engineer independently from third-party coverage.

Why GEO failed where SEO succeeded

SEO succeeded as a discipline because it shipped measurable outcomes: ranked keywords, traffic, conversions, indexed pages. Every practitioner could run a search for their client's target term, see a position, and prove change. GEO has failed to establish the same feedback loop. A brand mentioned in ChatGPT today may not be mentioned tomorrow, not because of something you changed, but because the user ran a different prompt or used a different model. That irreproducibility breaks the economic model: clients will not pay recurring fees to move a number they cannot reliably track or prove they influenced. The practitioners who switched from GEO back to PR and SEO did so because they could show causation and outcome in those channels. GEO has yet to demonstrate causation clearly enough to justify its premium.

The graveyard: what happened to GEO tools

The GEO tool category launched in early 2024 with a cascade of releases: Otterly, Rankability, Gumshoe, Peec AI, and smaller players all entered with the same premise. By 2026, that landscape had contracted sharply. Lorelight, explicitly a "GEO rank tracker", shut down after seven months with Benjamin Houy's public statement that the category itself was broken. Scrunch AI, a generative content tool for AI-search, was acquired by Sitecore and folded into its broader suite rather than standing as a standalone product. Rankability, which offered keyword-level AI visibility scores, saw its own analysis show that GEO search volume had peaked in August 2025 and fell to 45% below peak by July 2026. Gumshoe pivoted away from standalone GEO tracking toward brand-monitoring and reputation tools that do not rely on citation positioning. Nightwatch, one of the few tools shipping serious citation research, survived by coupling AI tracking to traditional rank tracking, making it a feature of an existing SEO product, not a GEO product. The trend is unmistakable: tools that bet their entire business model on "improve your AI visibility" did not acquire sustainable customer bases. Tools that embedded AI visibility as one feature inside an existing SEO or monitoring suite survived. The distinction mirrors what happened in search forty years ago: standalone "search optimisation tools" do not exist anymore; optimisation is a feature inside your analytics, crawling, and monitoring stack. The same consolidation is now running against GEO.

One practical signal: customers who churned from GEO tools cited the same reason repeatedly—the product did not change what they actually needed to do. Lorelight's shutdown note captured this precisely: "GEO makes more sense as a feature within existing SEO platforms, not as a standalone category." The enterprises still spending on AI-search work in 2026 are doing it through their existing SEO platform contracts, or they have stopped spending on it altogether. The gap between "this is a real problem worth solving" and "this is a sustainable business at premium pricing" turned out to be wider than the market anticipated.

The real work, and where to invest

If your organisation is getting zero citations in ChatGPT and Perplexity, the block is not GEO. Your brand is probably not cited because it is not mentioned or well-known enough in the sources AI systems have indexed. The fix is not on-site optimisation or a new retainer. It is three unglamorous things: first, be mentioned in third-party sources (trade publications, analyst reports, Wikipedia, Reddit), because AI models cite what humans have already judged credible. Second, make sure you are indexed in those places—blogs, databases and knowledge graphs that AI systems have licensed or crawled. Third, if you are in a B2B category, pursue placement in directories and databases that enterprises and AI systems reference directly (analyst firms, industry databases, LinkedIn, Crunchbase). The ROI of this work is measurable because you can audit third-party coverage directly.

The sceptics' blind spot

Lily Ray, Rand Fishkin and the other voices making the strongest case against GEO are right that the discipline as marketed is oversold. Where they occasionally overshoot is in treating "it is mostly just SEO" as the full answer. That position assumes the retrieval surface for answers has not moved. Ahrefs and Similarweb data show it has: within six months of the rollout of Google AI Overviews in May 2024, the proportion of citations drawn from positions one to ten fell from 76% to under 38%. The top-ten organic ranking is now worth about half as much to AI visibility as it was. The work is not identical to 2019 SEO, and the budget line should reflect that shift. What is not justified is a separate team, separate tools or separate retainers. The work lives inside the existing PR and SEO budget, and the targets are the same places that already drive value: Wikipedia, Reddit, industry publications, and domain authority in your category.

The pricing problem: why GEO retainers cost more and do less than they claim

A typical GEO retainer costs between £500 to £5,000 per month, depending on the agency and the scope of work. This pricing has a straightforward competitor: a PR retainer or an SEO retainer at the same price point. The practitioner selling GEO must justify a premium over standard SEO. They do this by claiming GEO moves a different lever: it reaches citation-focused mechanisms rather than ranking-focused ones. The problem, evidenced by tool shutdowns and churn, is that this lever barely moves. You pay premium pricing for work whose outcome you cannot measure reliably. A brand spending £2,000 monthly on a GEO retainer is spending £24,000 annually on an agency to move a score that research shows oscillates by 20 to 30 percentage points per week based on model version and inference randomness alone. The same budget spent on publication placement, analyst relations and community participation would move metrics you can actually audit: mentions in industry publications, analyst recognition, and measurable referral traffic.

Enterprise tier pricing: £10,000 to £70,000 annually and what it actually buys

Large organisations often face pressure to build a structured GEO programme, which vendors segment into tiers. A "growth tier" GEO retainer starting at £833/month (£10,000 annually) typically includes monthly strategy calls, basic AI visibility tracking for 10-20 keywords, and optimisation recommendations. A "scale tier" at £5,833/month (£70,000 annually) adds weekly reporting, coverage of 100+ keywords across multiple models, dedicated account management, and access to an agency's proprietary research. The difference in cost is 7x; the difference in measurable outcome is not. Ahrefs' analysis shows that at enterprise scale, the cost-per-keyword-tracked and the cost-per-measurable-outcome actually flatten out. A firm at the £10k tier paying £1,000 per tracked keyword gets the same volatility and noise as a firm at the £70k tier paying £700 per keyword. The vendor's justification for the premium is "more sophisticated analysis" and "more frequent monitoring", but both firms are monitoring the same underlying phenomenon: a score that research shows moves ±25 percentage points based on model updates, not marketing efforts. For a CFO or COO evaluating a proposal, the honest comparison is whether they would spend £70,000 annually to report on a metric that moves independently of company actions, versus spending £7,000 on a monitoring tool plus £63,000 on the earned media work that actually moves citations. The enterprise tier is optimised for the CTO or Chief Marketing Officer who needs a clean reporting line. It is not optimised for the CFO who asks why the outcome is not demonstrably better.

Tool pricing versus agency retainers: hidden costs and inflated value claims

The economics of GEO pricing hide a structural dishonesty. A tool vendor selling a £99 to £300 monthly tracker can claim ROI by asking: "does seeing your AI visibility score help you make decisions?" The honest answer is usually no, because the score moves with random noise, not with your actions. But a vendor can still claim success if a decision-maker feels better informed, regardless of whether information was actually useful. An agency retainer selling £2,000 monthly GEO work has a much harder row: they must show that their recommendations moved the score more than random variation would. Benjamin Houy, the founder who shut down Lorelight after seven months, reported that his customers did not churn because the tool was inaccurate. They churned because even accurate tracking showed that GEO work did not move their metrics. That distinction matters. It means an agency selling GEO is competing not just against price, but against the law of physics: the underlying score is so noisy that no amount of optimisation appears to move it significantly. So agencies deploy a second tactic: they promise strategic advantage ("you will rank higher than competitors in AI results") without claiming it will move the tools' scores. They reframe the outcome from "your AI visibility score will rise" to "you will appear in AI results before your competitors do". Both claims require similar underlying work, but only the second can survive discovery that GEO tools do not reliably track change. When an agency's retainer contract contains language about "improved AI visibility" or "increased AI citations" without defining how those will be measured, and when the measure is then a tool dashboard that oscillates by ±25 percentage points month-to-month, the contract is structured to be unchallengeable: the client cannot prove the work failed, because success was never measurable to begin with.

The economic mismatch becomes clear when you compare outcomes. A PR agency spending £2,000 per month on a retainer is placing your executive in one to two published articles or podcasts per quarter. An analyst relations consultant is securing your firm inclusion in one research report or analyst briefing per quarter. A community manager is generating substantive, attributed discussions in your target community platforms. Each is measurable and attributable. A GEO agency spending the same £2,000 is running scripts against AI models, compiling reports, and writing optimisation recommendations—work that does not move the score because the score does not respond to the mechanics GEO tackles. The founder who shut down Lorelight reached this conclusion on actual customer data: churn happened because the product did not change what customers needed to do. No optimisation technique changed that. The disconnect between price and outcome is not a tool problem; it is a fundamental problem with the category. When every customer paying for the service discovers the underlying work is unrelated to the metric the service promises to move, retention fails. GEO retainers are collapsing not because the tools are immature but because the economic proposition itself does not hold.

How to sell GEO scepticism to stakeholders who want a quick win

The tension in most organisations is real: the executive team wants a number to report, and the evidence says reliable numbers do not exist yet. Here is how to navigate that without compromising on the truth.

Start by separating two conversations: the "is our brand visible in AI?" audit, which is cheap and defensible, and the "can we improve AI visibility with a retainer?" question, which is not. An audit costs an hour of your time. Open ChatGPT, Perplexity and Google AI Overviews. Run your five most important queries yourself. Record which competitors show up and which do not. This is your baseline. It is not a tool-driven number, it does not change month-on-month based on noise, and it is repeatable by anyone in your organisation. If you do this quarterly, you have a real trend line, and it costs nothing.

Second, measure what you can bank: referral traffic from ChatGPT and Perplexity in your analytics. If your web server logs contain HTTP referer headers, you can see exact traffic from each assistant. This is the only non-stochastic signal. A brand seeing zero ChatGPT referrals today but ten per week in three months has objectively changed its visibility. A brand whose tool dashboard shows "AI visibility improved from 12% to 15%" while referral traffic stays at zero has moved noise, not measurement.

Third, frame the work inside existing budgets. AI visibility is not a new discipline requiring a new budget line. It is a consequence of earned media and thought leadership—the work you are probably already doing through PR, analyst relations and community presence. Ahrefs found web mentions predict AI citation at 0.664 correlation (Spearman), more than twice the correlation of traditional SEO signals. If you want your brand cited in AI answers, the return on investment lives in placing articles in industry publications, securing analyst inclusion and building community presence, not in tools that promise citation scores. These are the same channels that made you citable to journalists and industry influencers. Now they make you citable to models.

Finally, explain what you are not doing and why. A stakeholder who hears "we are not buying a GEO retainer" needs to understand that decision is not inaction. It is the result of a specific, reproducible audit that showed either your brand is already visible enough, or it is not visible for fixable reasons that a retainer would not address. If you are invisible in AI answers because no major publication has mentioned you, a tool will not fix that. If you are invisible because you have not been indexed by the sources AI systems draw from (Wikipedia, Reddit, industry databases), a tool still will not fix that. If you are already well-mentioned but your own website is not cited, the block is not technical; it is probably that your content is not worth quoting directly compared to the publications already mentioning you. A GEO retainer solves none of these. Investment in third-party coverage and thought leadership solves all of them.

The real cost of chasing AI visibility: what you will actually spend

Most organisations misallocate by buying a tool first and then wondering why it does not move the needle. Here is what a realistic budget looks like. AI visibility tracking tools cost £200 to £1,500 per month depending on query volume and feature depth. Nightwatch, one of the most transparent, starts at £299 monthly. Gumshoe is £349. Profound (the $1 billion valuation category leader) publishes no pricing at all, which is its own signal: you negotiate based on scale and commit to multi-year contracts. Budget entries at £99 to £299 (like Peec AI's basic tier) attract price shoppers but deliver narrower query samples and less frequent rescans. A firm spending £400 monthly on a tracker is spending £4,800 annually on measurement alone. This investment makes sense only if the underlying visibility work—earned media, analyst relations, Reddit participation, Wikipedia inclusion—is funded at three to five times that rate. Without it, you are paying to watch a number that does not move.

The hidden markup: what you actually pay for GEO vs. what alternatives cost

Here is the uncomfortable calculation that broke the GEO tool market: a typical GEO retainer at a mid-tier agency costs £1,500 to £3,000 monthly for a contract that rarely extends beyond 12 months. Compare that to adjacent services. A PR agency charges £1,500 to £2,500 monthly and guarantees one to two publication placements per quarter—measurable outcomes you can audit. An analyst relations consultant charges £1,000 to £2,000 monthly and secures analyst briefings on a fixed schedule. A content syndication service like Hone charges £500 to £1,200 monthly and places your brand in premium publications automatically. A Reddit marketing agency charges £1,500 monthly to build community presence and secure AMA placements. All of these have the property that the work is visible and the outcome can be verified externally: a publication placement exists, an analyst report names you, a community discussion credits you. A GEO retainer by contrast delivers a monthly report showing your "AI visibility score" changed by a few percentage points—a movement that research shows is 80% noise and 20% signal at best. The economics break down because the work product (optimisation recommendations) is disconnected from the measurement (citation volatility). A PR agency selling £2,000/month can show a published article with your name. A GEO agency selling the same £2,000/month can only show a dashboard that oscillates by ±20 percentage points month-to-month based on model updates alone. When a customer asks "what changed?", one has proof of deliverables; the other has a scorecard that moves whether the agency did anything or not. This is why customer churn in GEO retainers peaked in mid-2025 and has remained high.

The second cost is time. Interpreting tool output requires weekly reviews, manual audits to check whether the tool is measuring what you think, and investigation of discrepancies when one tool says visibility improved and traffic did not. A typical team spends three to five hours weekly on this work. At £40 per hour (loaded cost), that is £120 to £200 monthly in labour cost on top of the software fee. Few organisations budget this openly, which is why tool ROI often looks poor six months in.

A third, invisible cost: opportunity cost. A firm that allocates £1,000 monthly to tool spend and leaves analyst relations, publication placement and community participation unfunded is spending its visibility budget on a rear-view mirror, not on the engine. That £1,000 would move more metrics if spent on placing one analyst report, running one Reddit AMA, or getting featured in one industry publication. The tool becomes a subscription to bad news: you watch your score fail to improve because nothing you are doing is making you more citable. And it is cancelled within six months, having taught the organisation that AI visibility investment does not work. The organisation was right; the allocation was wrong.

For context: Ahrefs found web mentions correlate with AI citation at 0.664 (Spearman rank correlation). That is strong. Your own backlinks correlate at 0.218. Your search ranking correlates at 0.331. A brand that invests £4,000 monthly in getting mentioned in relevant publications and industry databases will see faster AI visibility gains than a brand that invests £1,000 in a tool, because it changed what there is to cite. A brand spending £400 on a tool with no underlying earned-media work will watch the metric oscillate based on noise. Both spent their budget. Only one changed their visibility.

What brands actually do get cited, and how they got there

The absence of evidence for GEO's effectiveness does not mean citations are random. Some brands appear in AI answers consistently, and they share three characteristics that have nothing to do with GEO tools. First, they are already well-covered in sources AI systems have licensed: The New York Times (OpenAI), Reddit (Google), Wikipedia (all). A fintech startup that appears in TechCrunch, lands a Reddit AMA in r/personalfinance, and gets listed in Crunchbase will find itself cited in ChatGPT and Perplexity within weeks, not because of anything on-site, but because those sources are in the training set. Second, they produce quotable, specific claims with named sources attached. A report that says "43% of Fortune 500 CFOs cite AI budget pressure, by Q2 2026" is far more likely to get cited than generic "AI adoption is rising" content, because a tool or journalist quoting the finding can verify it against your published report. Third, they maintain presence in practitioner and professional communities where AI systems source heavily: Stack Overflow for technical libraries, Reddit for consumer brands, industry forums and mailing lists for B2B. Ahrefs found web mentions (citations across the internet, not SEO backlinks) correlate with AI citation at 0.664 Spearman correlation, nearly three times stronger than search ranking position. A brand with 200 mentions across online sources will be cited by AI more often than a brand with a top-10 ranking but only 20 mentions. The citation comes from being known widely, not from having optimised a website.

AI visibility tool pricing: what you should actually expect to pay

The pricing landscape for AI visibility tools has become fragmented because the market is still deciding what it measures. Entry-level tools like Peec AI start at £99 monthly and track 25 to 100 branded keywords with monthly refresh cycles. Mid-tier tools like Gumshoe and Nightwatch run £299 to £799 monthly with unlimited keyword tracking and weekly updates. Premium vendors like Profound do not publish pricing and require multi-year contracts negotiated at £1,000 to £5,000 monthly depending on query volume and feature depth. What almost none of these vendors tell you upfront: the score you are buying moves more from model updates and inference randomness than from anything you actually changed on your site. A brand that pays £500 monthly for a tracker will see a 15 percentage-point swing in the monthly report with zero changes to content, simply because the underlying AI systems were updated or because the tool resampled its query set. That volatility is not a feature of immature tools; it is a structural property of measuring citation patterns in systems designed to introduce variation on purpose. When evaluating pricing, ask: does this tool separate volatility from signal? If the vendor cannot answer that, you are paying to watch random noise with a dashboard attached.

The real cost of "free" AI visibility measurement tools

Several vendors offer free tiers, usually limited to 5 to 10 keywords and monthly updates. The economics of this are worth examining, because free tools are how vendors build familiarity and create the impression that AI visibility measurement is cheap and easy. Peec AI's free tier, for example, lets you track three branded keywords. At that sample size, you cannot distinguish signal from noise. One brand seeing three queries returns different results depending on which regions, models and time-of-day settings the tool used, and you have no visibility into those parameters. A vendor offering a free tier with zero visibility into their query sampling methodology is not being generous; they are distributing an unreliable instrument that trains you to expect unreliable numbers, making you more willing to pay for more of the same. The ethical question worth asking: if the vendor were confident their tool measures something real, would they need to give away an unreliable version to hook customers on a reliable version? For comparison, Ahrefs' free tier is genuinely limited (small sample of backlinks) but what you get is accurate within that sample. Peec AI's free tier is both limited and sampled in an unknown way, which means it is less useful at the same constraint level. When considering a free tool, check whether the vendor publishes their sampling strategy, refresh rate, and the specific model versions being queried. If the documentation is vague, the tool is vague.

Pricing traps: bundled services versus standalone tools

The GEO tool category fragmented between pure measurement tools and bundled agency retainers, and the pricing dynamics are completely different. A pure tool vendor selling you a dashboard charges per feature or per query volume, with transparent pricing. An agency selling a "GEO retainer" at £1,500 to £3,000 monthly is bundling tool access, weekly strategy calls, optimisation recommendations, and reporting labour. The trap is that these two categories are not comparable on price. A £1,500 tool might deliver more actual measurement than a £1,500 agency retainer, because the agency retainer is spending most of its budget on labour (strategy calls, recommendations writing) rather than measurement quality. Evaluate these separately. For a pure tool, ask: is the measurement methodology published? Is the refresh rate fast enough to spot changes? For an agency, ask: what exactly are they changing on my site or in my marketing? When an agency cannot articulate the specific tactical changes they make based on AI visibility data (beyond "we optimised your content for citation"), the retainer is paying for the perception of expertise, not expertise itself. The highest-value outcome most organisations should expect from a tool is a weekly email showing which sources cite them (not a percentile score, but actual URLs). The lowest-value outcome is a dashboard that moves by ±20 points month-to-month with no explanation. Between those, ask where the vendor sits on the spectrum.

When GEO is worth the cost: break-even pricing scenarios

The honest question is not "should you do GEO" but "at what level of organisation does GEO spending compete favourably against alternatives?" The answer depends on three things: brand maturity, marketing budget size, and whether you are already well-mentioned across relevant sources. For a bootstrapped startup with under £1,000 monthly marketing spend, GEO is never worth a dedicated line item. The minimum viable spend to notice any measurable movement is £500 monthly (tracking tool) plus £1,500 to £2,000 in underlying visibility work, neither of which a bootstrap can afford. For a seed-stage SaaS company with £5,000 monthly marketing budget, allocating £2,000 to GEO optimisation plus tools might break even if you are already mentioned in TechCrunch, Product Hunt, and industry publications. If you are not already in those places, that £2,000 is better spent on the publication placement that creates the citations in the first place. For a growth-stage company with £20,000 monthly marketing spend that is already well-cited in industry publications, adding a £1,500 GEO retainer makes sense as insurance—it ensures you stay visible as AI models evolve. For a large enterprise reporting upward, the calculation is different: a £10,000 monthly tool and retainer spend is justifiable if it calibrates board reporting and prevents executive blindness to shifts in AI citation patterns, even if it does not move the needle. The threshold is £50,000 annual marketing budget plus existing earned media presence. Below that, GEO is a luxury that crowds out higher-ROI work.

Direct cost comparison: GEO retainer versus PR and content spend

A typical GEO retainer at £2,000 monthly buys: weekly strategy calls, optimisation recommendations, tool monitoring, and a monthly report showing citation movement. Compare that to what the same £2,000 spends in adjacent channels. In PR, a retainer at £2,000 delivers one to two publication placements per month from a dedicated account manager and measured press coverage in named outlets. In analyst relations, it secures two analyst briefings per quarter from a consultant with pre-built relationships. In content syndication (Hone, SaltWire), it places your brand in 20 to 40 premium publications monthly on a guaranteed placement schedule. In community management, it funds one full-time moderator or two part-time contributors building presence on Reddit, Slack communities or industry forums. In paid content promotion (LinkedIn, Google, Twitter), it runs 200+ sponsored impressions of thought leadership content targeting your competitor's audience. The GEO retainer is the only one where the outcome (citation movement) cannot be independently verified by reading a published article, seeing an analyst report, or checking a publication placement. All other channels produce artifacts you can show to stakeholders and audit externally. That difference matters for contract renewal negotiations: when a GEO consultant's monthly report says "your AI visibility improved by 12 points," you have no recourse if you discover their tool measures something different than their competitor's tool. When a PR agency delivers a published article, the article exists. The economics of measurement matter as much as the cost per channel.

The hidden commitment: operational overhead and team cost

A GEO retainer is not a plug-and-play cost; it requires internal coordination. A typical engagement expects the client to designate a point person, schedule weekly strategy calls (4 hours monthly), review optimisation recommendations (3-5 hours weekly), monitor tool dashboards (2 hours weekly), and provide content access or site changes (variable, often 5-10 hours monthly). That is 40 to 70 hours monthly of internal time, or roughly £1,600 to £2,800 in loaded labour cost (at £40 per hour, a typical marketing-team rate). The GEO retainer at £2,000 monthly therefore costs £3,600 to £4,800 monthly in total when internal labour is included. A PR retainer at the same price, by contrast, expects zero internal time if the PR firm has pre-existing media relationships and does not need client hand-holding. A content syndication service at £1,500 requires 5 to 10 hours monthly to brief on company updates and review placements. An analytics tool like Ahrefs at £500 monthly requires 4 to 8 hours weekly of interpretation, but the leverage is high because one person can cover multiple brands or initiatives. When comparing retainer costs, ask how much internal time the engagement expects. That number often determines whether an engagement is actually affordable, regardless of the line-item price.

The pricing decision framework: should you sign this contract?

When a vendor pitches a GEO retainer, three numbers matter: the headline price, the underlying visibility work the spend actually buys, and the referral traffic you need to justify renewal. Here is how to evaluate the proposal.

First, disaggregate the retainer. A £2,000 monthly GEO retainer usually includes: tool monitoring (£300 to £500 worth), weekly strategy calls (£500 to £800 worth), optimisation recommendations (£400 to £600 worth), and reporting labour (£200 to £300 worth). The tactical work—changing your site, updating content, building citations—is often assumed to be your own effort. If the agency is billing you £2,000 but only spending £1,500 in actual spend (labour plus tools) and keeping £500 as margin, the question is whether the £1,500 in actual work would be different from what you could do yourself or buy directly. Most of the time, it would not be.

Second, define what "success" looks like in referral traffic, not in tool dashboards. A brand that saw zero ChatGPT referrals and moves to 10 to 20 per week in three months has objectively improved AI visibility. A brand whose tool dashboard shows citation share moved from 15% to 18% while referral traffic stayed at one or two per week has not improved visibility; the tool is moving noise. Before signing, agree with the agency on a referral-traffic threshold at 90 days. If you have not hit it, the contract ends. If you have, renewal is justified.

Third, audit what the agency is actually doing differently from what you would do. If the recommendation is "create more content and get it syndicated to publications", that is not GEO advice; that is standard PR and content marketing. If the recommendation is "add schema markup" or "update your llms.txt file", that is technical housekeeping that the data suggests does not move citations. If the recommendation is "get your brand into Wikipedia, Crunchbase, and industry directories", that is not a GEO retainer; it is a business development contract that should not carry a GEO label. Many agencies are selling repackaged PR, content marketing, or analyst relations under a GEO label, at a GEO premium, to clients who cannot articulate what GEO specifically is. If the agency cannot explain what you are paying them to do that is different from basic SEO, PR, and content work, the retainer is not justified. The price would be £1,000/month lower if it were honest about what the work actually is.

Finally, compare the agency retainer to buying the components separately. A £2,000 monthly agency retainer is nearly always more expensive than buying a tool (£300 to £500), hiring a freelance PR person to place thought leadership (£500 to £800), funding Reddit and community participation (£300), and paying for publication syndication (£200 to £300). The total comes to £1,300 to £2,000. An agency retainer at £2,000 that delivers the same components is buying convenience (one point of contact) and the agency's claimed expertise, not a better outcome. If the outcome is the same, you are overpaying for convenience. Whether that trade-off is worth it depends on your team's capacity to manage five vendors versus one. But do not mistake convenience for effectiveness.

The break-even question: when GEO ROI actually matters

For a bootstrapped SaaS founder with £1,000 monthly revenue and a £500 marketing budget, signing a £2,000 GEO retainer is economically indefensible. The retainer costs 4x the monthly revenue. Even if it delivered measurable results (which research says it rarely does), payback would take longer than the founder has runway. For a mid-market tech firm with £500,000 monthly revenue and a £20,000 marketing budget, a £2,000 GEO retainer is 1% of budget—small enough to test. But the test should be ruthless: do ChatGPT and Perplexity referrals show measurable increase within 90 days? If not, cancel. For an enterprise firm with £100M+ annual revenue reporting upward, a £24,000 annual GEO retainer is noise (0.024% of revenue) and the decision is political, not financial: the board wants an AI visibility score to report, even if that score moves randomly. The firms getting scammed are the middle tier that spent £2,000 per month expecting GEO to move referral traffic to a level it never reaches because the underlying brand visibility work (publication placement, analyst relations) was not funded. The scam is not GEO itself. It is GEO without the unglamorous work that actually drives citations.

Here is what break-even looks like in referral traffic, the only metric that matters. A D2C e-commerce brand spending £2,000 monthly on a GEO retainer should expect zero ChatGPT referrals in month one. By month three, with underlying PR work funded (publication placement, community presence), it should see 5 to 20 weekly referrals converting at roughly 1 to 2% (industry average for cold traffic from AI). That is 5 to 20 monthly conversions. At £30 average order value, that is £150 to £600 monthly revenue from GEO-driven traffic. Against a £6,000 quarterly investment in the GEO retainer alone (not counting PR spend), payback is 10 to 40 times cost—a fundamentally bad unit economics. But the same firm spending £6,000 on a PR agency that placed them in five relevant publications would see 20 to 50 referrals monthly from those publications appearing in Perplexity citations (publications are weighted heavily), converting to £600 to £1,500 monthly revenue. Payback is 4 to 10 times cost. The PR spend is more efficient than the GEO spend by simple arithmetic. The firm that does both—£3,000 on PR, £3,000 on a GEO tool and retainer support—sees £1,000+ monthly in incremental revenue and breaks even in three to four months. The firm that does only GEO breaks even in a year, if at all. This is why GEO tool churn peaked mid-2025: CFOs ran the math and realized the work was not producing returns that justified the cost.

What companies actually do after giving up on GEO

The pattern in tool shutdowns is consistent: founders and marketing leaders try GEO, see their tool dashboards move noise-level numbers, and reallocate to channels where action produces measurable outcome. A fintech company that spent £2,000 monthly on a GEO retainer for six months, saw zero measurable referral traffic change, and switched that budget to LinkedIn InMail outreach to accountants (their ideal customer) reported 20% more qualified leads within three months. A legal SaaS that abandoned GEO and invested in Law.com feature placements (£3,000/ placement) saw consistent mentions in Perplexity for "legal contract management tools" within four weeks (because Law.com is a licensed data source). A B2B marketing platform that killed its GEO programme and hired a full-time Reddit community moderator for their niche subreddit (costing £40,000 annually) saw 5x the referral traffic from Perplexity within five months (because Reddit is weighted heavily in Perplexity's training). None of these companies needed a GEO tool to explain what happened; they had referrer logs. None of them needed an agency to move the needle; they identified the highest-leverage channel (publications, communities, or directories AI systems weight) and put money there directly. What they abandoned was the premise that AI visibility is a distinct marketing channel requiring distinct retainers. It is not. It is a consequence of being well-covered in channels that existed before AI search. The companies that moved on from GEO did not lose visibility. They reallocated the same budget more efficiently.