What Buyer Questions Should We Test in AI Search Before Submitting an RFP Response?

Why test AI answers before an RFP response?

Because evaluators increasingly check vendors with AI during evaluation. G2's 2026 survey of more than 1,000 B2B software buyers found that 82% had sourced software recommendations from an AI chatbot in the previous two years. Half of those said AI had its greatest impact when narrowing and comparing options. Evaluation was the longest stage of the buying journey. Forrester's 2026 report on business buying, based on nearly 18,000 buyers, found 94% used AI during their buying process. It also found buyers increasingly validate AI output against trusted external sources.

Two practical points follow. First, an evaluator who reads your response and then asks an assistant "Does [your company] support [requirement]?" may get an answer that contradicts you. Second, the sources the assistant cites, such as review sites, documentation and news, are the sources evaluators then check. G2 found review sites had become the top source shaping shortlists, just ahead of AI chatbots.

How do you turn the RFP into test questions?

Go through the RFP section by section and write the question an evaluator might ask about you:

Keep the evaluator's likely wording. They will not use your product names for features, and they may use the RFP's own terms. How much phrasing changes answers is covered in whether buyer phrasing changes AI recommendations more than the platform.

Which other questions belong in the set?

Comparison questions, against the rivals you expect to bid:

• "[Company] vs [rival] for [the buyer's use case]"
• "Best [category] for [sector] organisations"
• "Alternatives to [incumbent vendor]"

Proof questions:

• "Who are [company]'s customers in [sector]?"
• "[Company] case studies for [use case]"
• "What do [sector] customers say about [company]?"

Risk questions, which evaluators ask quietly and which often decide close calls:

• "Has [company] had a data breach or security incident?"
• "Is [company] SOC 2 Type II certified?", or the certification the buyer's market expects
• "[Company] outages" or "[Company] reliability"
• "Lawsuits against [company]" or "[Company] disputes with customers"
• "Is [company] financially stable?" and "Has [company] had layoffs?"
• "What do users complain about with [company]?"

Fit questions for the buyer's context: country, language, size, regulation and existing systems. For example, "Does [company] integrate with [the buyer's ERP]?" or "Does [company] support [regulation]?"

A general set of procurement questions is covered in what procurement buyer questions to use to measure AI search visibility. The set here is narrower: it is built from one RFP.

How do you run the test?

• Start two to four weeks before submission, so there is time to correct public sources and adjust the response.
• Test the assistants the buyer's staff are likely to use. Forrester has reported that 61% of business buyers use private AI tools provided by their organisation. Include the enterprise assistants common in the buyer's sector alongside ChatGPT, Gemini, Perplexity and Google's AI features.
• Run each question several times, with web search on, and record the answer, what it says about you, errors, and the sources cited.
• Compare every answer with your draft response. Any conflict is a finding, whether the assistant is wrong or your response overstates.

How do you prioritise what you find?

Score each answer on two things: whether it is right about you, and how much the question matters to the evaluation. For accuracy, use four labels: correct and favourable, correct but unfavourable, wrong, or silent. For weight, use the RFP's own scoring. A wrong answer about a mandatory requirement or a heavily weighted criterion comes first. So does anything touching security or data protection, because a single doubt there can remove a bid. A silent answer on a minor criterion can wait. Assign each finding an owner, such as marketing for public pages, the bid team for the response and security for the trust page, with a date before submission.

What do you do with the findings?

Fix what can be fixed before the deadline:

• Publish or update a security and trust page listing certifications, audit dates and data hosting locations in text.
• Update integration, feature and documentation pages where assistants say you lack something you have.
• Refresh customer and case study pages for the buyer's sector.
• Update review profiles, the sources evaluators check next.

Address in the response what cannot be fixed in time:

• If assistants mention an old security incident, state briefly in the response what happened and what changed, with evidence. Raising it yourself, with evidence, lets you frame it before an evaluator finds it elsewhere.
• If assistants say you lack a feature you now have, link to the documentation or release notes in your answer to that requirement.
• If assistants describe you as unsuited to the buyer's size or sector, lead with the references that disprove it.

Align claims with public evidence. Every significant claim in the response should have a public source an evaluator can find. If it does not, publish one or soften the claim.

What might an illustrative case look like?

Consider an illustrative HR software company preparing a response to a regional government RFP. Its test set of 40 questions, built from the RFP's requirements, shows three problems. Assistants say the company does not host data in the EU, citing a two-year-old comparison article. They describe it as "mainly for small businesses". And they mention a 2023 outage without saying it was resolved. The company publishes a data hosting page listing its EU region and adds two public sector case studies. It also adds a one-paragraph account of the outage and the changes that followed to its reliability section. The response links to each of these pages under the relevant requirement, so evaluators checking with AI find answers that match the response.

What do people ask about AI testing before RFP responses?

Do public sector evaluators actually use AI?

Policies vary, and some organisations restrict AI tools. Staff often use them informally anyway, and the sources the tools cite are the ones evaluators check by hand. Testing is cheap insurance.

Should the response mention what AI assistants say?

No. Address the underlying issue with evidence. The response should stand on its own.

How many questions should the set contain?

Enough to cover every mandatory requirement and scored criterion, plus the risk and comparison questions, often 30 to 60 for a substantial RFP.