For years, online findability was fairly predictable. Those who had their SEO in order, wrote good content and were technically sound could count on visibility in Google.
But that logic is starting to shift.
Increasingly, users are no longer shown a list of links, but a direct response. AI search engines such as ChatGPT, Google AI Overviews and Perplexity are taking over the search process and providing recommendations instead of options. Google is now rolling out these AI answers worldwide, and other platforms are rapidly growing in use as well.
This seems like a small change, but the impact is big.
Visibility is shifting from being found to being mentioned.
Where traditional search engines primarily reference, AI systems take on a different role. They select, combine and present information as one coherent answer.
In doing so, they look not only at what companies publish themselves, but rather at the broader playing field around them. Think reviews, discussions, articles and other forms of user-generated content.
According to multiple analyses, including from BrightEdge and Google's own updates around AI Overviews, the importance of these external signals is growing rapidly. After all, AI systems are trying to do one thing: provide the most reliable answer.
And reliability rarely comes from a single source.
Reviews occupy a special position in this regard. They combine three elements that are essential for AI. They are independent, come from real users and contain concrete experiences.
Whereas marketing content often remains general, reviews deal with specific situations, expectations and results. That fits exactly with how people search. Not just "best software," but for example: which tool works well for my situation?
Research by BrightLocal shows that consumers trust reviews almost as much as personal recommendations. AI systems seem to make that same trade-off. Experiences of others weigh heavily in what is considered a good answer.
The result is subtle but powerful. Companies with lots of consistent, positive feedback are more likely to be included in AI responses.
Take an example from InShared, which has been successfully using reviews to build trust through social proof for years.
An important shift is that visibility is becoming less dependent on your own website alone.
External platforms such as Google Reviews, as well as forums and communities, are playing an increasing role. Google itself has been giving platforms like Reddit more prominent positions in search results for some time. That trend continues in AI-driven search.
At the same time, your own website remains relevant. Not as the only source, but as a place where you provide context and depth. Reviews on your own site provide room for nuance, such as extensive case studies and explanations of specific applications.
For AI, the power arises precisely in the combination. When multiple sources tell the same story, trust grows.
Anyone who thinks that a one-time review campaign is enough will be deceived.
This is because AI systems not only look at how many reviews you have, but especially at timeliness and consistency. Companies that continuously collect and publish new feedback send out a much stronger signal than organizations with a spike in reviews in the past.
In addition, the nature of the feedback also plays a role. Open, substantive reviews in which customers explain their experience are becoming increasingly valuable. They give AI more context to understand what a company is good at, for whom and in what situations.
So it's not just about stars, but the story behind them.
For many organizations, this means a fundamental reappraisal of customer feedback.
Where feedback tools have traditionally been used to measure and improve, they now take on a second role. They feed your online visibility. Every review, every experience and every piece of feedback contributes to the picture online and thus to how AI systems interpret you.
That requires more than occasional review collection. It requires structure, consistency and actively leveraging feedback as content and signal.
🔄 Automate customer feedback collection and gather input continuously at key moments throughout the customer journey, not just through annual surveys.
✅ Make sure reviews are validated and collected in the right way, including relevant metadata and verified sources.
👍 Publish reviews on your website and encourage satisfied customers to also leave reviews on platforms such as Google Reviews or Trustpilot directly from the thank-you page.
The rise of AI search engines does not mean SEO is disappearing. But the playing field is widening.
Visibility is increasingly determined by a combination of what you publish yourself, what others say about you and how consistent that image is.
Companies that capitalize on that now are building a lead that will be hard to catch up with.
Reviews are not new, but their role is changing.
In a world where AI determines which companies are recommended, the focus is shifting from optimizing to confirming. Not just showing what you do, but demonstrating that it works through the experiences of others.
Customer feedback thus becomes not only a mirror of your organization, but also one of the strongest signals for your visibility.
With Insocial, you reach your customers at the right time and through the right channel, without them getting review fatigue. Through smart rules and targeted questions, you continuously collect valuable feedback, without putting extra pressure on your organization or your customer.
This way, you not only build better customer insights, but also consistent, substantive reviews that contribute to your visibility in AI search engines.
Wondering how this works for your organization? We'd be happy to help!