'Best X' Questions Make the List Longer, Not Your Share Bigger
In Ranqo's tracking data, asking an AI engine for the best or top option made answers name about 60% more vendors. Tracked brands appeared in more of those answers, but within the same company the rise was smaller, and the brand's share of the names did not grow. This post shows what best-of questions change and how to read them.
Questions that ask an AI engine for the "best" or "top" option produce longer lists. In our tracking data, answers to them named 7.2 vendors on average against 4.5 for open questions, about 60% more. A tracked brand appeared in more of those answers, 37.9% against 30.7%. Its share of the names did not rise: 5.3% against 6.8%.
So a best-of question is a good thing to track, because it almost always names someone, and a poor place to look for proof that you are gaining ground. Judge it by share of voice and position, compare periods only on the same mix of questions, and read the appearance rate with the list length beside it.
What We Compared
We split the unbranded questions tracked in Ranqo into two groups. A best-of question contains "best", "top", "leading", "greatest", "number one" or "#1", or the word for "best" in one of the other languages Ranqo tracks, the rule our prompt generator uses to recognise one. Everything else is an open question: how to solve a problem, what to look for, which approach fits a situation. About 18% of the unbranded questions tracked today are best-of questions.
| AI engines | ChatGPT and Perplexity, current models |
| Questions asked, per engine | 11,250 |
| Answers analysed | 22,500 |
| Of which from 6 September 2026 | 7,200 |
| Window | 6 July 2026 to 7 October 2026 |
Answer totals are presented at 10 runs per question per engine, the convention our CRM study uses; every rate, average and share is measured and unscaled.
What this sample is and is not
Two conditions decide which answers count: the engine's current model wrote the answer, and the answer came back with at least one source. Of the engines on Ranqo's entry plan, ChatGPT and Perplexity met both for the whole window.
The companies are the ones tracked in Ranqo, which lean toward software and business services, with an India tilt. It is a small set of companies, so read the within-company results as a direction, not a size. Vendor counts and share of voice use only answers from 6 September 2026 onward, when we raised the number of competitor names our parser records per answer; before that, both were capped and the comparison would be measuring our ceiling. Appearance rates are not capped, so we give them twice: on those same answers, and over the full window, which is large enough to compare each company with itself.
Share of voice here counts every vendor an answer names. The Share of Voice card in Ranqo leaves out names that appear once with no website, so its values run a little higher; counted that way, the result points the same direction. Perplexity's figures span our move to its new API on 25 September, and we kept both sides.
Best-of Questions Get Longer Lists
This part holds up every way we cut it. Both engines name far more vendors when the question asks for the best, and compared company by company the count rose from 4.7 to 7.8, higher for every company.
Best-of questions get longer vendor lists
Vendors named per answer (the tracked brand plus every competitor), by engine. Unbranded questions, current models, grounded answers, 6 September 2026 to 7 October 2026.
- ChatGPT
- 8.1 best-of · 5.3 open
- Perplexity
- 6.2 best-of · 3.6 open
The window starts on 6 September 2026 because before then our parser recorded at most 8 competitor names per answer, which capped exactly this count.
Almost none of them are dead slots
An answer that names no vendor can never show a brand winning, and a question that keeps producing them is a wasted tracking slot, as our prompt-choice study found. About one open-question answer in 6 (15.7%) named no vendor; about one best-of answer in 15 (6.7%) did. On that measure alone, best-of questions earn their place.
Appearing More Is Not Winning More
The appearance rate rises with the list. On the answers from 6 September 2026, tracked brands appeared in 37.9% of best-of answers against 30.7% of open ones. Over the full window the gap is wider, 41.7% against 29.9%: 45.4% against 30.8% on ChatGPT, and 38.3% against 28.9% on Perplexity. Two things stop that from meaning what it looks like.
Within a company, the rise is smaller
Over the full window, compare each company only with itself and the gap shrinks to 5.6 points (24.0% against 18.4%), against 11.8 pooled, so part of the pooled gap comes from which companies happen to track more best-of questions. The median difference is 0 points, because close to half the companies were never named in either kind of answer. Where a company was named at all, its best-of rate was usually the higher one.
Your share of the names does not grow
Share of voice puts the list length back in the denominator. The brand's share of the vendor names was lower on both engines for best-of answers (5.2% against 6.0% on ChatGPT, 5.4% against 8.0% on Perplexity), and flat within the same companies (3.4% against 3.5%). Leaving out one-off names that come with no website, as the dashboard does, the shares were 6.4% against 7.6%, still lower on both engines. Getting onto a longer list is easier; holding a larger share of it is not.
5.3% vs 6.8%
Your share of the vendor names on best-of answers, against open ones. ChatGPT and Perplexity, 6 September 2026 to 7 October 2026.
What to Do With This
| Measure | Open | Best-of | How to read it |
|---|---|---|---|
| Vendors named per answer* | 4.5 | 7.2 | The mechanism. Longer lists, more seats. |
| Answers naming no vendor | 15.7% | 6.7% | Best-of questions are rarely wasted slots. |
| Answers naming your brand* | 30.7% | 37.9% | Rises with the list; less within a company. |
| Your share of the names* | 6.8% | 5.3% | The number that says whether you are gaining. |
* From 6 September 2026, the same answers in all three rows; the remaining row covers the full window.
Keep best-of questions in the set
Buyers ask them, they almost always produce a list, and the pages AI engines cite most are themselves ranked lists, as our listicle post covers. Dropping them to make a score look steadier would track a market that does not exist.
Judge them by share and position
On a best-of list of seven or eight names, first and seventh are different outcomes that the appearance rate scores the same. Named brands sit in the top five 88% of the time, so a best-of answer that puts you sixth or lower is the exception worth watching.
Compare like with like
Adding best-of questions to a set changes its appearance rate without anything changing in the market, and even surface changes to a prompt move what a model does: one study measured swings of up to 76 points in one open model's accuracy on few-shot tests from formatting changes alone, such as separators and capitalisation, and about 10 points on average across models and tasks. Compare periods only on the same questions, and never compare two brands' visibility when one tracks far more best-of questions than the other. The three decisions behind a share-of-voice number apply here too.
How Ranqo Handles It
A best-of question in each theme, capped below half
When Ranqo writes a brand's first set of questions, it tries to give each theme one best-of question, so every theme has a question likely to return a vendor list, and it aims to keep them under half of the set. That nudges a new brand's visibility up a little by composition alone, which is why we read them by share of voice. The Prompts page shows every question with its category, and its Tracking tab shows, question by question, how often each engine named you. The prompts tutorial walks through it in a few minutes.
Share of voice beside visibility
The Visibility page reports Share of Voice next to visibility, leaving out competitors named only once with no website, so a long tail of one-off names does not shrink every real brand's share. When you act on a gap in the Action Center, the lift it reports shows as a number only once it clears the run-to-run noise we measured; a smaller move reads as no detectable change.
See how your share holds up on the questions buyers ask
Ranqo writes a balanced question set for your category, asks it each week on the AI engines your plan covers, and reports visibility, share of voice and position side by side. Where a rival holds the best-of list, the Action Center and Outreach turn it into the pages and lists to go after next. For choosing the questions themselves, start with which prompts can never show a win.
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Nisha Kumari
Nisha Kumari is Co-Founder at Ranqo, where she leads growth strategy and client acquisition. With a background in digital marketing and financial management, she specializes in SEO, Generative Engine Optimization, and helping brands build visibility across AI platforms.
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