Optimizing for Algorithms? Social Listening Is What Really Matters

This shift from traditional SEO to so-called Answer Engine Optimization (AEO) is changing not only marketing strategies but also how companies work with feedback. And this is where social listening comes in – a way to finally tune into what people are actually saying to each other.

When People Search for Answers, Not Links

Brands are beginning to notice this shift in their own data, and global platforms like Webflow and Reddit are also highlighting it in their recent studies, discussing changes in user behaviour during online searches.

According to these findings, more than half of people now use AI-powered tools – ChatGPT, Perplexity, or Gemini – to search for information and products.

These tools work differently than traditional Google: they don’t offer ten links, but provide an answer directly, often drawing from public discussions and reviews.

This means that online presence requires a new approach. Content must be understandable not only to people but also to the systems that generate answers. And at the same time, it’s important to know what’s being discussed in these conversations, because that’s what shapes what ultimately makes it into AI tool responses.

Social Listening: More Than Brand Monitoring

Social listening isn’t just about how many times a brand name is mentioned. It’s about what people say between the lines. What doubts they have, what words they use when talking about a problem, and what they’re actually looking for.

In e-commerce comments, reviews, social networks, and forums, millions of small conversations emerge daily where you can read what surveys never reveal: real frustrations, doubts, and motivations.

What Can Be Gleaned from Social Listening

From conversations between people, you can glean more than any survey could capture. When we look at them systematically, social listening helps brands:

• catch new topics and questions before they become trends,
• discover smaller communities that may be key to a product,
• understand how people talk about competitors, what they praise and what bothers them,
• find out how products are used in practice – often differently than the brand planned,
• and also perceive the tone, humor, and emotions they associate with the product.

Put It Into Practice

For most companies, social listening remains an underutilised discipline. Yet it can be used in three areas:

• Product and UX. If complaints about a specific feature or characteristic repeat in communities, it’s a faster form of validation than a focus group.
• Content and SEO/AEO. If people in discussions use specific phrases or formulate questions that don’t appear in your articles or FAQ, it’s a signal that content needs reworking.
• Advertising and Tone of Voice. Social listening can reveal what topics and emotions are currently resonating in the community. This tells you when it makes sense to respond, when to stay silent, and what there’s already too much of in the online space. It can help not only with creative development but also with campaign timing – so brands don’t talk about something that’s currently tiring people, and conversely, can leverage the moment when a topic enters the flow of discussions.

Where to Look for Community Voices

Reddit is a valuable place in this regard – it has community culture, authentic discussions, and high user trust. However, depending on your market, other platforms may be more relevant. Product reviews, specialised forums, thematic Facebook groups, and local discussion platforms often reveal the most authentic customer sentiment.

Social listening shouldn’t be about one platform but about a system that combines data from multiple environments and transforms it into real decisions – not just reports.

People today don’t buy just based on advertising but based on conversations happening beyond your reach. If you’re not listening to them, you’re missing an important part of the buying journey – the one where the customer makes their decision. Social listening is the way to be within reach of customers at the time they’re deciding about your product.