Two caveats belong next to that number every time it is used. Opollo sells services in this space, so it is vendor research and interested. And business to business brands are not representative of retail, local services or consumer products.
Why Real Questions Beat Generated Ones Questions produced by keyword tools are smoothed. They use category vocabulary, they avoid awkward specifics, and they tend to be the questions everyone has already answered.
One diagnostic shortcut is worth knowing. Ask the assistant to describe your company rather than to recommend one. If it produces an accurate description but will not recommend you, the record exists and the corroboration is thin, which points at third party sources. If it produces a vague or wrong description, the record itself is broken, which points at access and identity. Those two findings lead to completely different quarters of work, and the question that separates them takes ten seconds to ask.
Whether It Is Worth Doing Yet That depends on your category. If your buyers research before they commit, the exposure is already there and waiting is a choice with a cost. If people buy from you on price or proximity without research, this can safely sit lower on your list.
Beyond that, watch for answer engine optimization referral traffic arriving from assistant domains in your analytics, and watch for the phrasing customers use when they contact you. When people start repeating a description of your business that you did not write, something has shifted.
Which to Fix First Work in that order, because the sequence is roughly cheapest to most expensive and each step is wasted without the one before it. There is no value in earning press coverage if the crawler cannot reach the page it points at.
The volumes will be small, so avoid drawing conclusions from a handful of sessions and let it accumulate over a quarter or two. Also compare against your branded organic traffic rather than all organic, since branded search is closer in intent and makes for a fairer comparison.
What We Genuinely Do Not Know Several things are worth admitting rather than papering over. We do not know how the systems weight their signals against each other. We do not know how much residual influence training data has once retrieval is involved. We cannot reliably distinguish a change in your visibility from a change in the model's behaviour.
Corroboration Beats Assertion The single clearest pattern in observed behaviour is that independent agreement outweighs self description. A claim made only on your own site is treated as a claim. The same claim appearing on a review platform, in a trade publication and in a forum thread is treated as a fact about the world.
Testing too rarely means you find out about a problem a quarter after it started. Testing too often means drowning in variance that looks like signal and reacting to noise. Both failures are common and the second is more expensive, because it produces work.
One organisational habit makes this sustainable. Give the sales and support teams a single place to drop questions as they hear them, with no process attached beyond writing down the question in the customer's words. Anything more elaborate stops being used within a month, and a shared document with fifty verbatim questions in it is worth more than a formal intake process nobody completes.
Build the run into an existing routine rather than creating a new one. Measurement programmes in this field fail through quiet abandonment rather than through a decision, and a modest set attached to an established monthly process survives far longer than an ambitious one that depends on somebody remembering to start it.
Entity Coherence Before a model can recommend you it has to be confident that the scattered mentions of your name refer to one company. That confidence comes from consistency across the details that identify you.
Keeping It Honest Two disciplines keep this from decaying. First, the answers have to be checked by somebody who knows the business, because a writer working from notes will approximate a figure and an approximation published as fact is a liability you carry rather than they do.
What Ranking Does and Does Not Buy You Ranking still helps, because the retrieval step usually starts with a search. But it buys far less than people assume. Ahrefs examined 15,000 long-tail prompts across four assistants in July 2025 and found roughly 80 percent of cited pages did not rank for the original query at all, with about 12 percent in the top ten.
How You Will Know It Is Working Ask for the raw answers, not a score. A credible report shows you the exact prompts, the exact text an assistant returned, and which pages were cited. You should be able to read it and form your own judgement without trusting anyone's index.
Why One Snapshot Proves Almost Nothing Generation involves randomness, and retrieval can return different pages between runs. The same prompt asked twice in a row can produce different companies in different orders.