AI recommendation white space: the buyer questions no brand owns yet

Parse tracks distinct buyer questions, the specific things people ask AI to help with inside a category, and watches which brands AI returns. For each question, either one brand has emerged as the consistent leader or none has.

Of 7,248 tracked buyer questions, 2,831 (39.1%) have no owning brand. That is not a coverage gap. AI fields these questions every day; it simply has no settled answer for who to recommend. The remaining 4,417 (60.9%) are owned, each with a brand that consistently leads.

Open questions are not just the rare, obscure ones. They sit inside the same categories as the owned ones, asked by the same buyers, fielded by the same engines. The only difference is that no brand has won them yet.

Owned and open are two different states, not points on a scale. In an owned question the top-ranked brand carries an average 38.1% of all the recommendations (median 28.6%). In an open question, no brand has emerged as the leader at all.

How much of a category is still open depends heavily on the category. At the consolidated end, Gaming (26.2%) and Data and Analytics (30.2%) have mostly settled who AI recommends.

At the open end, nearly half of buyer questions in Health Care (44.8%) and over half in Sports (51.2%) have no owner yet. If your category sits high on this list, the play is to claim, not to dislodge.

Rate alone can mislead. A small category at a high rate is a different opportunity from a large one at a moderate rate. The table shows both the rate and the question volume behind it, so you can weigh how much settled or unsettled demand actually sits in each.

A high rate in a small category is a niche opening. The largest numbers of uncontested questions are in the large categories, where even a moderate rate covers hundreds of questions. Financial Services alone holds 310 open buyer questions.

Every one of the 2,831 open questions has brand evidence behind it. AI is already naming brands in these answers; it just has not settled on one to lead. Open questions name 2.4 distinct brands on average, with no winner among them.

Competition varies inside the white space. At the thin end, 506 open questions have had just a single brand named so far, the most claimable, because there is almost no competition for the slot. At the crowded end, 228 have five or more brands named with no leader, and 77 have ten or more.

These are real open questions AI fields with no consistent recommendation. They sit at the contested end, with many brands named and no winner, which is exactly why they read as unsettled. The typical open question is thinner than these.

Start with the question, not the keyword. What is being measured here is a buyer question AI answers, so the opportunity is to become the consistent answer to one of them, not to rank for a phrase.

Prefer thin over crowded. An open question with one brand named is closer to claimable than one with ten named. Go where the slot is nearly empty first.

Weigh rate against volume. A high open rate in a small category is a quick win; a moderate rate in a large one is a bigger, slower prize. Both are white space.

We track distinct buyer questions, each a specific thing a buyer is trying to do within a category, and watch which brands AI returns across ChatGPT Search and Google AI Mode. A question is owned when one brand has consistently emerged as the leader, and open when no brand has. Both states require real brand evidence behind the question; questions we judged to be noise or duplicates were excluded before counting.

Figures reflect Parse's monitored set of prompts and categories as of June 25, 2026, not every question buyers ask. Owned versus open describes whether a consistent leader has emerged, not a guarantee about every individual AI answer. This is a current snapshot, so open questions become owned over time and the reverse. Per-industry cuts cover categories with at least 100 tracked questions.