Your reviews shape what AI says about you
Updated: 2 September 2026
Reviews are one of the few signals about your business that you don't write yourself. That's why they carry weight: a model reads them as independent confirmation of what you do and how well. And often what matters isn't the score, but the words your customers use.
Content matters more than the score
Fifty reviews saying “excellent, highly recommend” carry far less information than fifteen that say what actually happened: which service, which problem, which outcome.
A model learns from the detail. A review mentioning “they helped us with exporting to Germany” links your name to a specific capability. A bare five stars links nothing.
Where reviews count
Not all platforms are equal. Google reviews are the most widely reproduced. Industry platforms count more within their industry. Reviews on your own site count least, because you control them.
The ideal picture isn't a hundred reviews in one place, but presence across two or three that a third party would consider credible.
Pace says more than the total
Thirty reviews within a single month two years ago, and nothing since, describe a business that once made an effort. Two reviews a month, steadily, describe a business that's working.
Continuity matters for a second reason: it keeps your picture current. An old review describes a business that may no longer exist in that form.
What not to do
Don't buy reviews. Beyond being against most platforms' rules, fake reviews are recognisable: they resemble each other, arrive in clusters, and say nothing specific.
Don't ask for “five stars” either. Ask the customer to write what you did for them. An honest four-star review with detail is worth more than ten empty five-star ones.
What to do first
- Check how many reviews you have, where, and when the last one arrived.
- Build a simple routine for asking after every completed job.
- Ask specifically: “write what we helped you solve”, not “leave us a rating”.
- Reply publicly to reviews — including the negative ones, with facts.
Frequently asked questions
I have very few reviews. Is it hopeless?
No. Ten substantive reviews work better than a hundred generic ones. Your starting point matters less than the pace you build from here.
Does a negative review hurt me with AI?
Far less than you fear, especially if you've replied. A profile with nothing but perfect reviews looks more suspicious than one with a realistic mix.
Reviews in Greek or English?
In your customers' language. If you also serve an international audience, English reviews help you surface in English-language questions too.
See where you stand in AI — free
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