When GEO is not worth it: four blunt criteria for B2B SaaS
GEO is not universal. Four criteria identify the companies for which waiting is the right answer, and all four are about the mechanism of the purchase, not the size of the company.
A consultancy's incentive is to sell consultancy. The client's incentive is to get a return. Those two do not coincide in every case, and when they do not, saying “right now it is not worth it” is the only defensible position.
GEO is not universal. For a set of companies it makes more sense to wait, or not to start at all, and saying so on a call is part of honest work. Four objective criteria identify those cases, all of them about the mechanism of the purchase: impulse decisions, no prior research, a category nobody asks the AI about, and a purely local market. Where the four converge, the answer is simple: not now.
- The qualifying axis is the mechanism of the purchase, not the size of the company: small companies can be an excellent fit.
- Impulse purchase (B2C, short cycle, emotional decision): GEO does not arrive in time for the decision.
- A decision with no prior research (direct recommendation, outbound, network): the buyer never asks ChatGPT.
- A category nobody asks the AI about (hyper-specific niches, jargon the models have not mapped): the lever does not exist.
- A purely local market: the off-site signal does not scale.
- When in doubt, do the technical foundations (no retainer) and monitor for 12 months.
Why it matters to say no in time
GEO is not bad. It is expensive in team time, in technical foundations, and in patience (three to six months until solid results in ChatGPT, Claude or Gemini). That investment is only justified when there is a proportional return. In some cases there is not.
The four criteria below identify those cases, and they all sit on the same axis: the mechanism by which the purchase happens. Not the size of the company. An early-stage company whose buyers research exhaustively before signing can be an excellent fit. A large account whose pipeline comes entirely from tacit renewals may not be.
Criterion 1: impulse purchase rather than considered
GEO pays off when the buyer considers before deciding: researches, compares, consults AI, reads what others say. There is a cycle, and inside it there is room for the brand to be cited. When the purchase is on impulse, that cycle collapses: the buyer decides in hours or days, on emotional triggers or immediate convenience. There is no window for the AI to enter the equation.
Companies typically in this profile:
- B2C e-commerce (emotional decision, a cycle of hours or days).
- Low-price self-serve SaaS (product-led, with a direct trial).
- Urgent services (repairs, medical emergency).
- B2B commodity where the comparison is on price rather than fit.
For these brands, paid social, long-tail classic SEO, or partnerships pay more than GEO. Rule of thumb: if a typical buyer closes without comparing three alternatives, GEO is not the channel.
Criterion 2: a decision with no prior research
GEO assumes the buyer will investigate before buying, and that part of that investigation will pass through AI engines. Where that assumption does not hold, even with a long cycle, the investment in GEO is wasted.
How to recognise it:
- Sales reports that most clients arrive by recommendation, with no active comparison.
- Clients cannot name competitors, a sign of a market with no active comparison.
- The CRM shows direct paths (lead, demo, close) with no prolonged evaluation phases, whatever the total time.
- Onboarding reveals that clients do not know the adjacent categories, a sign of a non-technical buyer.
When this happens, the discovery channel is not AI, it is the contact network, direct recommendation, or outbound. GEO does not compete with that.
Criterion 3: a category nobody asks the AI about
Even with a considered purchase and active research, there are categories where the buyer does not use AI engines to investigate. Hyper-specific niches with no relevant online audience, technical jargon the models have not mapped yet, or products so new that no model recognises them. In those cases the GEO lever simply does not exist: there is no conversation to enter.
How to recognise it:
- Searching for your category's terms in ChatGPT or Claude returns vague or non-existent answers: there is no knowledge base about the niche.
- Your buyers are senior technical people working outside the usual digital context (process engineering, specialised certification, heavily regulated fields).
- Global competitors in the category do not appear in AI answers either, which confirms it is the niche and not your brand.
It can change over time, as the models absorb more sector content. But today, GEO arrives too early to pay for itself.
Criterion 4: a purely local market
GEO scales better in markets that cross borders: a Portuguese SaaS company selling in Portugal, Spain and the rest of Europe has more to gain than a neighbourhood restaurant.
The reason is structural. Off-site authority (G2, Wikipedia, sector publications) has international dynamics. Building solid GEO presence means work in external sources, and those sources carry little weight when the market is hyper-local.
For purely local brands (generalist law firms, proximity services, regional consultancies), GEO has not arrived yet. In 2026 the discovery engine for those is still Google Maps plus direct recommendation plus local SEO. GEO may enter in 2027 or 2028, when the models integrate geographic signals better.
What to do if all four converge
If your company ticks all four criteria against GEO, the honest recommendation is: do not invest in continuous GEO now. Do three things instead:
- Technical foundations, once. Minimum schema (
Organization,Service,FAQPage) andllms.txt. Cost: two or three developer days. Benefit: if the market changes, you already have the base. - Off-site consistency. A complete LinkedIn profile (and G2 where applicable). One harmonised description. Cost: one day. Benefit: it protects the entity.
- Light monitoring. Quarterly citation rate across 20 to 30 questions relevant to the sector. Cost: half a day a quarter. Benefit: it catches early if the signal changes.
Total cost: around five days of work over the year. No retainer, no consultancy. If in 12 months the competitors' citation rate starts climbing, that is when it makes sense to reassess.
What to do if only one or two criteria tick
If one or two criteria tick against but two or three tick in favour, it is a space for a strategic decision. Typically it is worth starting with a diagnosis rather than a retainer, to understand the current position before investing at scale.
A diagnosis done properly costs two to four weeks and gives:
- A real baseline of citation rate and share of voice per engine.
- A list of questions where competitors are gaining traction.
- A 90-day plan with three to five priority actions if they decide to go ahead.
Then they decide with information. It is the least risky way in.
The honest question to ask
Before hiring GEO, from us or from anybody else, it is worth asking this internal question: if 30 to 50% of our buyers start investigating suppliers in ChatGPT in 2027, what do we lose by not being there today?
If the answer is that it would be significant and too late to recover, GEO makes sense now. If the answer is that it would be little, because our discovery channel is another one, then the work is elsewhere.
Frequently asked questions
Does GEO make sense for an e-commerce store?
Typically not. B2C e-commerce has impulse decisions, a short cycle, and the buyer rarely does prior research through ChatGPT. The investment pays more in Google Shopping, paid social and conversion optimisation than in GEO.
Does GEO make sense for small companies?
It can: what counts is the mechanism of the purchase, not the size. If your typical buyer researches, compares and consults AI before deciding, GEO pays off even in a small company. It is always worth doing the technical foundations (schema and llms.txt), once, with no retainer, so as not to fall behind. A formal strategic GEO initiative makes sense when the cost of acquisition justifies the investment in being cited.
Does it make sense for professional services (law, consultancy)?
Case by case. It works if hiring involves extensive prior research (typical in senior B2B), there is defensible technical differentiation, and the buyer weighs options before deciding. For a generalist law firm with local clients and decisions by direct recommendation, it rarely pays off.
If I decide to wait, what should I do in the meantime?
Three things: basic technical SEO (sitemap, minimum schema), a consistent profile in external sources (LinkedIn, G2 where applicable), and light monitoring (a manual quarterly citation rate) to notice when the signal changes. When the signal changes, move.
See also: GEO vs SEO in 2026 (where GEO adds on top of classic SEO) and how to measure GEO (to do the light monitoring in house while you wait).