Your review profiles shape what AI says about you
When buyers ask AI to compare tools, the answer is often built from review platforms. A thin or stale profile becomes the version of you the model repeats.
AI assistants describe and compare software largely from third-party sources, and review platforms such as G2, Capterra and Trustpilot often show up among them.
What those profiles say — your themes, your pricing, how recent your reviews are — becomes what the model says. Keep them accurate and current, and read your competitors' reviews as carefully as your own.
Ask an AI assistant "which competitor tracking tool has the best support?" and look at where the answer comes from. You will rarely see the vendors' own websites alone. You will see review profiles, comparison roundups and forum threads. The model is summarising what other people say about you.
That makes review platforms part of your AI visibility, not just a sales asset.
What a model takes from your reviews
A model doesn't read your five-star average and move on. From a review profile it can pick up:
- Recurring themes. "Easy to set up", "great support", "weak reporting". Phrases that repeat across reviews are the ones most likely to be repeated back.
- Pricing details. If reviewers mention a price you dropped a year ago, the model may quote that price.
- Comparisons. "We switched from Vantix because…" is exactly the kind of sentence that ends up in a comparison answer.
- Recency. A profile whose last review is eighteen months old describes a product that no longer exists.
A recurring complaint is a positioning opportunity
Your competitors' reviews are as useful as your own. One complaint is noise; the same sentence repeated across many reviews is a market signal.
If "weak reporting" shows up in nearly half of a competitor's reviews and rarely in yours, that is not just good news. It is the first line of your comparison page, and it is a theme a model can pick up when someone asks for "a tool with better reporting than Vantix".
What to do this month
1. Audit your profiles. Check every platform where you are listed. Is the category right? Is the pricing current? Are the screenshots from this year? Fix anything a buyer — or a model — could quote incorrectly.
2. Ask recent customers for reviews. The best time is right after a customer reaches a result, not at a random moment. A steady trickle of recent reviews beats a burst every two years.
3. Never buy reviews. It breaks the platforms' rules, it breaks consumer protection law in many countries, and fake reviews are increasingly easy to spot. Ask real customers, through real channels.
4. Reply to reviews, especially the critical ones. A calm, specific reply shows future buyers how you behave when something goes wrong, and it becomes part of the profile too.
5. Track themes, not just stars. Your average rating moves slowly. The themes in your reviews, and in your competitors', move faster and tell you more.
Scooutly collects your reviews and your competitors' from G2, Capterra and Trustpilot, splits them into themes and puts them side by side. You see where you are already ahead, which complaints keep coming up for competitors, and which profiles are thin or stale — before an AI answer repeats the old version of you.