Day 112: Your Buyer May Arrive With an AI-Written RFP

The buyer may not arrive with a blank page.

Before a supplier call, a CMO, Marketing Director, founder, or procurement lead may ask ChatGPT, Claude, Perplexity, Gemini, Google AI features, search results, comparison pages, review sites, and other public surfaces how to choose a provider. They may ask what to look for, what questions to ask, which options to compare, and which risks to avoid. By the time the first conversation happens, the buyer can already have a shortlist, a set of evaluation rules, and a view of what good should look like.

That does not mean an answer engine literally wrote the RFP. It does mean answer-led research can rehearse a buying brief before the formal brief exists.

For CMOs, Marketing Directors, and founders, that is a practical GEO problem. The commercial risk is not only absence from the shortlist. The risk is that the company is compared on criteria designed for another category, a substitute route, or a narrower version of the problem. The buyer may underweight the real buying risk, overweight a visible but secondary feature, or omit the trade-off the offer was designed around.

Generative Engine Optimization should therefore inspect the decision rules being introduced, not only the names being recommended.

The hidden brief forms before the first call

A serious buyer rarely asks only, "Who should I buy from?"

They ask adjacent questions first:

"How should we evaluate agencies that improve visibility in AI answers?"
"What should a CMO ask before buying a GEO diagnostic?"
"Should we use monitoring software, a technical SEO consultancy, a content agency, or a specialist advisory partner?"
"What evidence should a supplier provide?"
"Which criteria matter when comparing providers?"

Those questions do more than collect options. They establish the buying lens.

An answer might tell the buyer to prioritise dashboard coverage, number of tracked prompts, citation uplift, weekly reporting, integrations, competitor monitoring, content production capacity, or a single visibility score. Some of those criteria can be useful. Some may be irrelevant to the buyer's real decision. Some may quietly advantage a software tool, a broad SEO agency, an internal analytics team, or a cheaper content route before the specialist supplier has explained the problem.

The buyer then brings those criteria into the conversation as if they were neutral requirements.

The company hears, "Can you show us your dashboard?" or "How many prompts do you track?" or "What uplift should we expect in citations?" when the real issue may be different: whether answer-led surfaces are giving high-fit buyers the wrong decision rules, whether sales is inheriting poor-fit demand, whether public offer boundaries are clear enough, or whether leadership has enough evidence to decide what should change.

That is the hidden brief. It is not a document yet. It is the criteria bundle the buyer has started to trust.

A generalised buyer scenario

Imagine a founder-led B2B company selling a specialist diagnostic for AI visibility and buyer understanding.

The offer is not a dashboard subscription. It is not a content-volume retainer. It is not a generic SEO audit. The value is in finding where answer-led surfaces are shaping buyer expectations, category comparisons, qualification risk, sales friction, and public offer interpretation, then deciding what the business should clarify, challenge, repair, or leave alone.

A buyer starts researching before the call. The answer-led comparison says a strong provider should offer:

broad prompt tracking across several surfaces;
competitor citation frequency;
a repeatable score leadership can monitor;
content recommendations to improve visibility;
integrations with reporting tools;
evidence of uplift over time.

None of those criteria is automatically wrong. But together they frame the purchase as a monitoring-and-reporting problem. They advantage platforms and production retainers. They make the diagnostic work look incomplete unless it behaves like software.

The missing criteria are more commercially important for this buyer:

whether the questions tested match the buying situation that affects revenue;
whether the answer describes the company's category, offer boundary, and next step accurately;
whether the criteria used by the answer would create poor-fit enquiries or price pressure;
whether the recommended response is proportionate to the evidence;
whether the supplier can name what the observation cannot prove;
whether the output gives sales and leadership a decision, not only a chart.

If the founder accepts the inherited criteria without challenge, the company may be judged against the wrong shape of value. If the founder rejects them defensively, the buyer may hear evasion. The better response is to audit the criteria bundle and decide which rules to accept, clarify, challenge, or decline.

Audit the criteria bundle, not only the shortlist

A compact criteria audit is enough to change the sales conversation.

Answer-led criterion	What it may advantage	Missing criterion	Commercial consequence	Proportionate response
"Track hundreds of prompts weekly"	Monitoring software or a reporting-heavy retainer	Are the questions commercially material and tied to a buying situation?	The buyer may pay for breadth while sales still receives the wrong kind of demand	Clarify that coverage matters after priority buyer questions are selected
"Improve citation frequency"	Suppliers willing to imply an uplift promise	What claim can the observation support under recorded conditions?	Procurement may expect a causal outcome the work cannot honestly promise	Challenge the criterion and replace it with bounded diagnostic outputs
"Compare all major competitors"	Broad category dashboards and generic market maps	Which substitutes or adjacent routes are commercially plausible for this buyer?	The real comparison may be a tool, agency, internal hire, or no-action route, not only named rivals	Clarify the alternative set before accepting the comparison scope
"Recommend content to publish"	Content production retainers	What business truth, offer boundary, sales objection, or evidence gap must change first?	The team may publish around a problem that leadership has not resolved	Accept content work only where the underlying truth is authorised
"Provide a single score"	Dashboard-led reporting	Which decision should leadership make from the observation?	A neat number can hide whether the response is clarify, challenge, accept, or decline	Decline a universal score; offer a decision record with limits

The point is not to turn every sales call into an argument about methodology. The point is to see whether the buyer's criteria are evaluating the real purchase.

Some criteria should be accepted. A buyer is right to ask what was checked, when, on which surface, under which access conditions, and with what limits. A buyer is right to ask how competitor and substitute routes were considered. A buyer is right to ask what public material would need to change if a pattern were validated.

Other criteria need reframing. A supplier should not pretend that a small answer-led observation proves demand, attribution, revenue, market share, buyer behaviour, or deterministic platform movement. It should not treat Google AI visibility as if it depended on llms.txt, special AI markup, arbitrary chunking, or over-focused structured data. Google's AI features rely on core Search ranking and quality systems. The useful work is improving the relevance, clarity, usefulness, accessibility, and quality of public material where the evidence supports it.

There is a useful measurement idea inside this problem: which criteria appear repeatedly when buyers ask how to choose?

If several bounded observations keep introducing the same rule, that rule may deserve attention. A company might record that answer-led comparisons often prioritise dashboard breadth, self-serve tooling, content volume, regional footprint, implementation speed, certification, case studies, advisory depth, or refusal boundaries. It might also record which commercially important criteria are absent.

Call that criteria share if the language helps. But keep it modest.

It is not a universal market metric. It is not a threshold. It does not prove what every buyer saw, believed, or did. It is a way to notice whether answer-led research is repeatedly rehearsing one buying lens and ignoring another.

That distinction matters because the response is strategic, not only editorial. If a criterion is absent because public material does not explain it, the answer may be to clarify the page. If a criterion is absent because the business has not decided its offer boundary, the answer belongs with leadership. If a criterion is present because the market genuinely expects it, the company may need to accept the rule or deliberately disqualify buyers who require it. If a criterion advantages a substitute that is honestly a better fit for some buyers, the company should say where that substitute is right rather than fighting every comparison.

The audit is useful because it turns a vague concern — "AI is shaping the RFP" — into a set of named decision rules.

Use the response ladder before the next call

When a buyer arrives with inherited criteria, the company has four possible moves.

First, clarify. Some criteria are valid but too broad. The buyer may ask for prompt coverage, and the supplier can explain how priority buyer questions are selected before coverage expands. The buyer may ask for competitor monitoring, and the supplier can add substitute routes and category-adjacent options to the scope.

Second, challenge. Some criteria imply a promise the work cannot support. If the buyer asks for guaranteed citation uplift, causal revenue attribution, or a universal score, the safer answer is to challenge the criterion and name the observable outputs instead.

Third, accept. Some criteria reveal real market expectations. If buyers repeatedly want evidence of surface, date, access condition, visible source state, and limitation, the supplier should provide it. If they expect a practical next step for sales or leadership, the diagnostic should produce one.

Fourth, decline. Some briefs are no longer the right opportunity. If the buyer only wants dashboard software, bulk content, a guaranteed uplift, or a procurement-safe number detached from a decision, the specialist offer may be the wrong fit. Declining that brief can protect margin, credibility, and delivery quality.

This is where the commercial value sits. A criteria audit improves shortlist quality, qualification, sales friction, price pressure, and risk because it helps the company respond to the brief the buyer actually brings, not the ideal brief the supplier wishes they had written.

The question to ask before the RFP hardens

The better question is not only, "Are we mentioned?"

It is:

What buying rules is the answer teaching the buyer to use?

That question changes GEO from a visibility exercise into a commercial diagnostic. It asks whether answer-led research is introducing criteria that fit the company's actual value, whether it is omitting the trade-off the buyer needs to understand, whether it is advantaging substitutes for good reasons, and whether the business should clarify, challenge, accept, or decline the emerging brief.

The buyer may still write the formal RFP later. Procurement may still ask the ordinary questions. Sales may still have room to shape the conversation.

But by then, the hidden brief may already be present.

If you wait until the RFP is final, you are responding to criteria after they have hardened. If you audit the answer-led criteria earlier, you can see which buying rules are entering the market, decide which ones deserve your support, and stop being surprised when the buyer arrives with a brief you did not write.