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Questions to Watch # What technology buyers ask AI assistants before agreeing to meet a vendor
Buyers now build their shortlist by asking an AI assistant, before any vendor hears from them
Summary TLDR: Buyers now build their shortlist by asking an AI assistant, before any vendor hears from them. This page lists the 20 questions we hear most often in real buyer conversations, explains the two ways to find your own list, and gives you a method you can run yourself.
Quick answers
What are the questions buyers ask AI assistants?
Long, specific questions about fit, risk, cost and proof — not category names. A buyer does not ask "best data platform." They ask whether a tool works with the systems they already run.
Why does this matter to a vendor?
Because the shortlist is finished before you are contacted. If you are not in the answer, you never learn the deal existed.
How do I find the questions my own buyers ask?
Two ways: watch what the machines already say about your category, or ask real buyers directly. Most teams need both. The rest of this page explains each.
The 20 questions
Grouped by what the buyer is trying to settle. The examples name common systems and situations — swap in the ones your buyers actually run.
Fit — will this work where I already am?
Does this tool connect properly to Salesforce and SAP without custom work?
How long does a typical rollout take for a company with three thousand employees?
Can it handle ten million records a day without the price jumping?
Which tools in this category suit a mid-sized manufacturer rather than a large bank?
What has to be in place before we start — clean data, a dedicated administrator, anything else?
Risk — what goes wrong?
What do customers complain about most with this vendor?
Why do companies leave this vendor after two or three years?
How hard is it to move our data out if we change our minds?
Is this vendor stable enough to still be here in five years?
Who owns the data, and what happens to it when the contract ends?
Cost — what will this really cost?
What does this actually cost for a company with five hundred users?
Which costs show up later that are not in the first quote — training, support, extra modules?
Is the more expensive option worth the difference over the cheaper one?
How long before this pays for itself in a normal deployment?
Proof — has anyone like me done this?
Which companies in manufacturing have deployed this successfully?
Has any company our size done this, or only large enterprises?
What results have real customers reported, not the vendor's own claims?
Who are the serious alternatives, including ones the vendor would not mention?
Process — what do I do next?
What should we ask in a first meeting to find out quickly whether this is a fit?
How do we compare three vendors fairly when each measures things differently?
The pattern: almost none of these are answered on a vendor website. Vendor sites answer "what we do." Buyers are asking "what happens to me."
Two ways to find your own list
Two honest methods. They find different things.
Machine-based discovery | Buyer interviews | |
|---|---|---|
How it works | Software queries assistants repeatedly and records which questions surface which sources | A researcher talks to real buyers about a live purchase |
What it finds | Questions already being answered in public | Questions buyers have but have not typed yet |
Speed | Fast — days | Slow — weeks |
Cost | Low, mostly software | Higher, mostly people |
Coverage | Wide | Narrow but deep |
Blind spot | Cannot see questions nobody has asked in public | Cannot see the full market |
Example provider | Profound and similar visibility platforms | Analyst Layer |
What machine-based tools do well
Platforms such as Profound query assistants at scale and track which sources get used. That gives you breadth quickly and a baseline you can measure against later. If you want to know where you stand today across many questions, this is the fastest route.
What they cannot see
They can only observe questions that already have public answers. The question a buyer asks a colleague, or hesitates over and never types, leaves no trace. In our experience those unasked questions are often the ones that decide the deal.
What buyer interviews add
We run structured conversations with buyers who are actively evaluating. The buyer talks; nobody pitches. What comes out is the wording buyers actually use, the objection nobody says out loud to the vendor, and the moment a vendor quietly dropped off the list.
Use both. Machines for breadth and measurement. Interviews for the questions that decide outcomes.
How to build your own list in five steps
Write down thirty candidate questions. Take the five groups above and rewrite each using your category, your competitors, and the systems your buyers already run.
Run each through four assistants. Record who gets named and which sources are used. Keep the date — answers change.
Mark where you are absent. Absence is the finding, not a failure.
Test the list against real buyers. Ask five recent buyers which of these they actually asked, and what you missed. Expect to be surprised.
Pick the six worth winning. Score each on closeness to a purchase and on how few strong sources answer it today. Ignore the broad ones.
Score | Closeness to purchase | Competition |
|---|---|---|
High | Names a vendor or a decision | Fewer than three solid sources |
Medium | Names a category and a constraint | Three to eight sources |
Low | General category interest | Many established sources |
Win the high-and-thin ones first.
What to do once you know the questions
Being named in the answer is the start, not the finish. A mention puts you on a list. It does not create a conversation.
The step most teams skip is giving the buyer somewhere to go that is not a sales meeting. In our work that is an independent conversation with an analyst, where the buyer works through their own criteria and nobody pitches.
The list above comes from those conversations. Across recent evaluations we have sat in on, the questions cluster tightly around the five groups on this page, and the same gap keeps appearing: the questions that decide the outcome are rarely the ones vendors have answered anywhere.
Common questions about this method
How many questions should we track?
Six to twenty. Beyond that you cannot act on what you find.
How long before a new page shows up in answers?
Usually weeks, sometimes longer, and never guaranteed. Treat any position as temporary and re-check monthly.
Do we need software for this?
Not to start. The first pass can be done by hand in a day. Software matters once you are tracking regularly.
Is this the same as search engine optimisation?
No. Search work aims to rank a page. This aims to be the source an assistant uses when it answers. Different target, overlapping methods.
Who should own this inside a company?
Whoever owns early pipeline. It usually lands with product marketing, which is the wrong place, because product marketing does not carry the meeting number.
This is a piece of opinion — our reading of what buyers should ask, based on public material available as of that date. It is not a statement of fact about any company. No company mentioned pays for the mention. Any company named here can write to hello@analystlayer.com; we respond within three working days and update the piece where the input is factual, with the update dated on this page.