Social presence in AI search is your brand’s competitive advantage

Social presence in AI search matters because customers no longer follow a neat path from search engine to website to purchase. They move between social platforms, online communities and AI assistants, collecting information from each before making a decision. A brand can have excellent SEO and still miss opportunities if it is absent from the conversations shaping that journey.

A customer’s first interaction with your business might now be a TikTok video, a Reddit thread or an answer from ChatGPT. Their second could be checking your Instagram comments. Only then might they visit your website.

That shift has implications for how brands think about visibility. Search engine optimization remains essential, but it increasingly sits alongside social content and community management rather than above them. As large language models (LLMs) become part of the search experience, the information surrounding a brand matters beyond its own website.

Search is spreading across platforms

Ten years ago, appearing in Google was often enough. Today, a potential customer might start on TikTok, sanity-check recommendations on Reddit and ask ChatGPT to narrow the options before ever visiting a website.

Ofcom’s March 2025 research found that 43% of UK online adults used social media platforms to search online at least daily. A further measure found 34% used video-sharing platforms for daily search. Younger adults were more likely than average to use both. These figures describe overlapping behaviors, so they should not be added together.

AI is becoming another route. Forrester reported that 34% of UK online adults had used ChatGPT during the previous month to search for products they were interested in buying in February 2026, up from 22% in October 2025. Google remained the most widely used option in the same research, at 75%.

The emerging picture is not that search engines are disappearing. It’s that search journeys are becoming more fragmented. Consumers move between search engines, social platforms and AI assistants, using different sources for different questions. As a result, social presence in AI search is becoming increasingly important for brands looking to stay visible wherever customers are searching.

Social connects discovery with practical evidence

The gap between discovering a brand and trusting it has always been difficult to bridge. Social content helps close that gap by showing products, services and experiences in the real world rather than in carefully controlled marketing environments.

Social search can bring a product or service into a recognizable setting. A demonstration can show whether furniture fits a small room. A customer’s video can reveal how clothing looks away from studio lighting. An expert can explain what a service involves before someone makes an enquiry.

Consider a hypothetical customer furnishing a bedroom. They might search TikTok for storage ideas, compare recommendations on Reddit and ask an AI assistant to summarize suitable options. They could then visit a retailer’s profile to check delivery questions and customer experiences.

For brands, each stage creates a different requirement: useful content to be discovered, credible evidence to support consideration and clear information to help someone act.

However, visibility should not be confused with trust. Ofcom found that 59% of search engine users always or mostly trusted the information they received, compared with 25% for video-sharing platforms and 19% for social media. Brands have to earn confidence through accuracy, transparency and genuinely helpful participation.

Community conversations can reach AI search

One of the biggest shifts in AI search is that brands are no longer judged solely on what they publish themselves. Increasingly, they are also being represented by the conversations happening around them.

There is a documented connection between community content and AI products.

Reddit’s 2024 partnership announcement stated that OpenAI would bring Reddit content into ChatGPT and other products. It described access to current, structured content that would help OpenAI’s tools understand and showcase Reddit discussions.

This gives brands a reason to pay attention to the public conversations surrounding their products. Customer experiences, practical recommendations and discussions of shortcomings may become part of the material people encounter through AI tools.

This is one of the clearest examples of how social presence in AI search can be shaped by conversations beyond a brand’s own channels. The strategic implication is that visibility can depend partly on information a brand does not publish or control.

That does not establish likes, followers or comment volumes as direct AI ranking factors. Nor does it mean every social post is accessible to every AI system. What it does mean is that brands have more to gain from contributing useful information where relevant audiences seek advice, while maintaining accurate information on their own website.

Community management becomes part of consideration

Every unanswered question, helpful response and public complaint has the potential to influence somebody who is still deciding whether to buy.

Community management is often treated as something that happens after content is published. In reality, many customers encounter community interactions while actively evaluating a brand.

A question about dimensions, availability, service coverage or returns may represent a genuine buying barrier. A clear response helps the person asking and gives other readers something useful to assess.

An unresolved complaint can also become part of that assessment. A thoughtful response provides context and demonstrates how the business handles problems. Moving sensitive details into a private conversation may be appropriate, but a public acknowledgement can still help explain what happens next.

Community managers also hear the questions that marketing teams should answer more widely. Repeated concerns can inform product pages, videos, buying guides and FAQs. This connects customer service with content planning and search visibility.

Your search strategy is bigger than your website

The practical challenge isn’t producing more content. It’s making sure useful information exists wherever customers are looking for answers.

Start with the questions customers ask before buying. Use enquiries, comments and relevant community discussions to identify uncertainty, then create content that addresses it directly.

Make social profiles easy to understand. Explain what the business offers, whom it serves and where it operates. Give people a clear route to product details, booking information or an enquiry.

Treat responses as useful content. Set realistic response standards, give community teams accurate information and establish a clear route for escalating complex questions.

Participate transparently in relevant communities. Respect their rules, identify brand representatives and contribute expertise that helps the discussion.

Improving social presence in AI search starts with understanding where customers are already seeking advice about your category, products or services. Monitor relevant conversations, identify recurring themes and look for opportunities to provide genuinely useful answers.

Finally, measure commercial progress alongside engagement. Track relevant enquiries, referral visits, sales and recurring customer questions. Monitor AI mentions and citations across a consistent set of searches, recognizing that answers can vary and attribution will remain incomplete.

Social presence is becoming a search discipline

Traditional SEO remains essential, but it is no longer operating in isolation.

People increasingly move between search engines, social platforms, online communities and AI assistants before making decisions. Along the way, they’re gathering signals about credibility, expertise and trustworthiness from far more than a brand’s website alone.

That’s why social presence in AI search deserves attention. Brands that create useful content, participate meaningfully in conversations and invest in community management are likely to be more discoverable, more credible and ultimately more competitive as search behavior continues to evolve.

More from us

At Dig & Dig, we’re a digital and social agency built for an AI-first world. As search journeys become increasingly fragmented across Google, social platforms, online communities and AI assistants, we help brands adapt their search, content and social strategies accordingly.

Our approach goes beyond traditional SEO. We create integrated search and content strategies that consider how people discover information today, weaving social discovery, community signals and AI visibility into a single approach designed to improve visibility wherever audiences are searching.

We think differently. That’s why we help ambitious brands go from unseen to unmissable.

Read more from our team of digital and social specialists:

• How AI search engines choose brands to cite, and why yours might not make the cut
• SEO vs GEO: The new rules of search optimization
• Gen Z & Gen Alpha buying behavior: What brands must understand about the next generation of buyers

Whether you’re looking to improve search performance, strengthen your social presence in AI search or understand how your brand appears across emerging AI-powered experiences, we’d love to help.

Get in touch at hello@diganddig.com to discuss how we can help make your brand impossible to miss.