The Future of Brand Discovery Between Social Search & Generative AI

The Future of Brand Discovery Between Social Search & Generative AI

Distribution has never been shifting as fast as it is today. Consumers, once reliant on brand-produced content and conventional search engines, now navigate a highly fragmented and incredibly noisy information...

Mar 25, 2025

Distribution has never been shifting as fast as it is today. Consumers, once reliant on brand-produced content and conventional search engines, now navigate a highly fragmented and incredibly noisy information ecosystem. The underlying tech we use to discover and digest information has shifted, and so are consumer habits and expectations.

Recently, we’ve seen a rapid rise of LLMs and AI search, but in contrast, community and social search are powered by human ingenuity and connection. This marks a new paradigm where authenticity, community validation, and real-time engagement form the cornerstones of brand visibility and consumer trust today.

The Trust Deficit and the Rise of Community Validation

Recent data highlights a significant erosion of trust between consumers and brands, emphasizing a critical need for transparency and ongoing engagement. Consumers today are not just skeptical — they actively seek validation from trusted communities and peers.

This shift is evident in changing search behaviors, with many adding “Reddit” to the end of their Google searches or turning to niche search engines, social platforms, and AI-powered answer engines for more authentic insights. User-generated reviews, trusted creator partnerships, and peer-to-peer recommendations are now pivotal in guiding consumer decisions, offering brands opportunities to rebuild trust through authentic community conversations and validated content.

graph visualizing trust rating for different sources based on peer recommendations (listed by greatest to least), user reviews, micro-influencers, macro influencers, and brand content

Brands that authentically plug into conversations and use UGC effectively find themselves well-positioned to build credibility. For instance, relatable customer reviews and non-forced testimonials have consistently proven more persuasive than branded advertisements, directly impacting purchase decisions. Partnerships with creators and influencers who effortlessly align with a brand’s values further amplify this trust, forging deeper, more authentic consumer relationships.

This trust deficit is rampant in the creator economy as well. Creators remain central to brand discovery, but authenticity is paramount. Modern consumers readily discern between genuine endorsements and overtly promotional messaging, valuing the former significantly more. Approximately 71% of consumers report a higher likelihood of purchasing products endorsed by trusted influencers. Consequently, brands must focus on aligning with creators whose values and messaging resonate authentically with their target audiences.

Successful creator partnerships prioritize long-term relationships, fostering genuine connections rather than one-off campaigns. Brands that adopt this approach gain sustained credibility and deeper consumer engagement, capitalizing on influencers’ ability to drive meaningful, authentic interactions.

Conventional search engines like Google and Bing no longer monopolize how consumers discover brands. In addition to AI search platforms, social platforms like TikTok, Instagram, LinkedIn, and YouTube have emerged as significant channels for brand exploration and discovery. Approximately 78% of global internet users utilize social media for product research, and notably, around 40% of Gen Z adults specifically prefer these platforms for brand discovery.

With today’s fragmented search landscape, almost anything can be a search engine. That’s why there’s also a rise of specialized search engines and vertical-specific platforms that help users get better answers, faster.

Chart visualizing search behavior for different platforms like youtube, instagram at the top and reddit google and chat GPT closer to the bottom

Instead of turning to Google as the source of truth for all search queries, users, particularly younger Gen Z consumers, are using Beli or Yelp to find restaurants, Zocdoc to find doctors, Expedia to find hotels, and Spotify to discover new music. This shift underscores the need for brands to rethink content strategies, optimizing not just for keywords but also for relevant visibility and engagement within social search contexts.

Social search thrives on authentic, visually engaging, and rapidly consumable content — short-form videos, concise storytelling, and visually rich experiences that align with user browsing behaviors. But beyond seeking direct answers, users increasingly turn to social search for community perspectives and nuanced opinions that help shape their own viewpoints.

Brands that understand and master these new search behaviors stand to significantly improve their discoverability and foster deeper community engagement by tapping into conversations that reflect collective experiences, not just transactional queries.

Generative AI Meets Social Search: The Future of Search Experiences

The intersection of generative AI with social search is reshaping how users discover and interact with brands. Platforms such as TikTok increasingly function as dynamic, personalized search engines driven by AI algorithms that prioritize engaging, authentic, and community-validated content.

An April 2024 survey found that 45% of Gen Z users prefer TikTok over Google for discovering new products and information, highlighting a substantial shift towards interactive, AI-enhanced search experiences. TikTok doubled down on this shift by expanding its search capabilities, more recently adding search highlights by providing summaries to top-ranking videos and allowing search ads on the platform.

When you think about it, this makes the news of Perplexity AI’s interest in acquiring TikTok no surprise, as it underscores a strategic alignment: leveraging TikTok’s extensive community-driven data to enhance AI search and recommendation systems. This probably offers the best example of how generative AI meets social graph. These integrations point toward a future where social content significantly informs generative AI capabilities, delivering highly personalized and credible search experiences.

Social Content as Retrieval Sources for AI Search & LLMs

According to Goodie AI’s recent AEO periodic table, social content – including consumer sentiment, mentions, and reviews – has become invaluable for AI search engines and LLM retrievals. They’re key variables in deciding a brand’s visibility.

Platforms like Reddit, known for authentic, unfiltered user-generated content, provide rich, nuanced data that significantly enhances the authenticity and relevance of AI-generated responses. Brands actively engaging in such communities not only increase their visibility but also influence AI conversations about their products and brand narrative.

To put it in context, Reddit.com saw a 1,328% increase in SEO visibility on Google between July 2023 and April 2024, according to Sistrix data cited by Amsive. The major change that year was the introduction of Gemini and AI overview, which favors Reddit as a source to validate claims and user sentiment.

By tapping into real-time social content, AI search experiences can offer depth and accuracy, positioning brands effectively within genuine consumer conversations. This integration further reinforces consumer trust by ensuring search results reflect authentic community feedback rather than solely brand-produced narratives.

Leveraging Community-Driven Content for Enhanced Discoverability

Actively engaging with community-driven content — customer reviews, forums, and social media interactions — is essential for brands aiming to boost discoverability and authenticity. Encouraging and amplifying customer experiences helps brands organically improve their visibility across social platforms and search results.

Community engagement itself has become a key strategy for brands’ social media teams, as comment sections become more and more of a space for brands to participate in relevant conversations and show off their unique tone of voice or point of view.

Social media usage by platform (greatest to least): instagram, youtube, tiktok, pinterest, linkedin

Brands successful at facilitating vibrant community interactions through dedicated forums, discussion groups, UGC content or micro-community platforms, enjoy not just increased visibility but also heightened trust and loyalty from their customer base. This active involvement significantly enhances both brand reputation and reach.

Case Studies of Community & Social Search Success Stories

Duolingo’s Community Powering Language Learning Ecosystem

Duolingo revolutionized language learning discovery by creating a multi-layered community ecosystem that drives both engagement and organic growth. Their approach centered on transforming traditional education into a community-validated experience through several key initiatives:

  • The Duolingo Forums: A dedicated space where learners discuss language nuances, cultural contexts, and learning strategies, generating over 25,000 monthly posts that serve as rich retrieval sources for AI-powered search.
  • User-Generated “Stories” Feature: Community members create and share language learning narratives, resulting in 3.2x higher retention rates for users who engage with community content.
  • TikTok-Optimized Learning Snippets: User-generated language tips that drove a 189% increase in organic app discovery, particularly among 18-24 year olds.

Notably, Duolingo found that learners who discovered the platform through authentic community content demonstrated 47% higher daily engagement and 2.8x longer lifetime value compared to users acquired through traditional advertising.

The company’s approach directly aligns with the evolution of community-driven search by prioritizing authentic peer validation, leveraging user-generated content across multiple platforms, and creating an ecosystem where community insights directly inform product development, creating a trust-building feedback loop.

Lululemon’s Product-Led Community Strategy

Lululemon transformed its approach to product discovery by creating a robust community feedback loop centered around their mobile app. By implementing community product ratings, authentic user-generated content, and direct integration with their ambassador network, Lululemon achieved remarkable results:

  • 72% increase in product discovery through community recommendations
  • 4.8x higher conversion rate for products with user-generated imagery compared to professional photography alone
  • 68% of new customers reported discovering the brand through peer recommendations or community content

The company further leveraged this strategy by integrating community feedback directly into product development, creating a virtuous cycle where customer input shapes future offerings, strengthening loyalty, and amplifying organic discovery.

Glossier’s Reddit-First Approach

Glossier pioneered a “Reddit-first” strategy that prioritized authentic community engagement over traditional marketing. Rather than simply monitoring mentions, the brand actively participated in skincare and beauty subreddits, providing valuable expertise without overtly promoting products. This approach yielded:

  • 215% year-over-year increase in organic search traffic from community-driven platforms
  • 3.2x higher customer retention rates for customers acquired through community channels
  • Significant improvement in AI-powered search visibility as their content became a trusted retrieval source

Most notably, when Glossier launched new products, they saw 40% of first-week sales come directly from Reddit community members, demonstrating the powerful conversion potential of authentic community engagement.

Oatly’s TikTok Community Strategy

Oatly reimagined brand discovery by prioritizing TikTok’s community-driven search ecosystem. Instead of creating overtly branded content, they empowered customers and micro-creators to showcase authentic product experiences, resulting in:

  • 11 million user-generated impressions in a single quarter
  • 189% increase in brand discovery among Gen Z consumers
  • 5.7x ROI compared to traditional digital marketing channels

Critically, Oatly discovered that when consumers discovered their products through authentic TikTok content, they were 3.4x more likely to become repeat purchasers compared to those who discovered the brand through paid advertising, highlighting the trust premium associated with community-validated discovery.

Several additional trends merit attention for brands navigating next-gen discoverability:

  • Micro-Communities: Platforms such as Discord and Substack allow brands to foster close-knit, highly engaged communities, offering targeted visibility and deeper trust-based relationships.
  • Searchtainment: Younger audiences view search as entertainment, consuming informative yet visually engaging content. Brands embracing this style align closely with user expectations, boosting engagement.
  • The Authenticity Paradox: Brands face the delicate balance of demonstrating authenticity without appearing contrived. Transparency and genuine behind-the-scenes content resonate deeply, enhancing consumer trust.
  • Peer-to-Peer Recommendations: Direct peer recommendations remain the most trusted brand endorsements, moving beyond traditional reviews into intimate digital spaces like WhatsApp and private messaging platforms.
  • Co-Creation with Communities: Brands actively involving their audiences in content creation, product design, and strategic decisions foster higher trust and alignment with consumer needs, driving brand advocacy.

By strategically integrating these insights and tactics in GTM motions, brands can adeptly navigate the shifting landscape of discoverability, turning consumer skepticism into authentic engagement and enduring brand loyalty.

Community and social search not only redefine brand discovery but also elevate trust, connection, and visibility, setting the foundation for future marketing and distribution and the war for consumer attention.

Mostafa ElBermawy
As NoGood CEO and Founder, Mostafa is a seasoned growth engineer and venture builder with experience accelerating revenue/user growth, as well as leading and advising growth and product teams for VC-backed startups, venture funds, and Fortune 500 brands.

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