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Building a brand worth finding: Signals that fuel discovery
For most of the past decade, organic marketers have operated with a clear north star: visibility. Get on Page 1. Get in the featured snippet. Get seen.
That north star has now moved.
The question I put to the room at SMX Advanced on June 5 wasn’t, “How do you get found?” It was the even harder question: “How do you get chosen?”
In 2026, the answers are no longer the same, and the gap between them is where most brands lose ground.
In AI search, your reputation precedes you
The complex, multi-touchpoint user journey of exploration, evaluation, and conversion has been dramatically compressed. A single AI prompt now does the same work that previously required a dozen searches, three Reddit threads, and a couple of comparison sites.
AI search doesn’t reward the brand that shouted the loudest in paid media or stuffed the most keywords into its metadata. Instead, it rewards the brand with the strongest reputation in the spaces that matter, the same spaces the user journey once encompassed. Reddit threads, comparison sites, and the like all get ingested by LLMs and blended into a single synthesized answer.
In other words, your brand is no longer just what you say it is. It’s how AI understands your brand, and the algorithm is reading everything everyone else has ever said about you.
Brand-owned content, across websites and social channels, will always be self-serving and promotional. AI looks for third-party validation to back up those claims.
This shift changes everything for organic marketers. Our job has gone beyond building visibility to building a brand that, once found, is correctly understood and ultimately chosen. Those are three distinct challenges, and they require three distinct strategies.
See where your brand appears in AI search, where competitors are winning, and what it takes to become the answer AI recommends.
Found: Be present in your audience’s actual search ecosystem
The first challenge is still about discoverability, but we now work with a much broader canvas than just Google. Consumers now discover brands across ChatGPT, Reddit, YouTube, TikTok, Google, Quora, LinkedIn, and, yes, word of mouth. There are dozens of entry points into the discovery ecosystem, and you need to be credibly present in the ones your specific audience actually uses.
This starts with understanding your audience’s sources of influence: the publications, platforms, communities, and voices they genuinely trust. The intersection of semantic relevance, domain authority, and audience affinity tells you which third-party properties are worth targeting. For one B2B audience, that might be Wired, Tom’s Guide, or a LinkedIn group that actively discusses vendors in a particular vertical. For another, it’s r/smallbusiness and a Substack newsletter with 40,000 subscribers.
Once you know where your audience spends time, you can create content and earn your spot in the conversation in those exact places. This is targeted, audience-first, performance-driven PR and organic strategy that puts your brand in the conversations already happening at the decision point.
The data underscores the importance of earned media. Across the top commercial sectors we analyzed, 93% of AI search citations come from third-party sources. If you’re only investing in content that sits on your own domain, you’re invisible to the systems now doing the heavy lifting of brand discovery.
Understood: Consistent signals across every surface
Getting found is necessary, but it’s not a standalone effort. If you’re getting found by machines, your brand is understood well enough to be surfaced.
LLMs go beyond crawling your website. They synthesize a consensus picture of your brand from everything about you that exists online: reviews, Reddit discussions, press coverage, YouTube commentary, Trustpilot ratings, forum threads, and more. If those signals conflict with what you’re saying about yourself, you have a problem.
A brand that claims premium positioning but has thousands of articles questioning whether it’s actually luxury, a history of heavy discounting, and a Trustpilot score of 1.3 isn’t going to be recommended by AI as a premium option, regardless of how well-crafted its homepage copy is. The algorithm has read the whole story, not just your version of it.
This means brand messaging consistency is now an SEO issue. Every piece of owned, earned, and paid content needs to reinforce the same core associations — because the model is building a cohesive picture from all of it. Conflicting signals confuse customers and actively suppress your AI visibility.
Digital PR plays a critical role here. It engineers the external narrative. Through strategic media placements, expert commentary, and search-informed coverage, you shape what journalists write about you and what the models learn about you. The query fan-out (the range of prompts a potential customer might use) requires positive, consistent answers across every touchpoint where an LLM might look.
Chosen: Earning the trust signals that tip the decision
The third challenge is the hardest and arguably the most important. Trust has always been an SEO currency. As clicks decline and zero-click search becomes the norm, its importance has only grown.
Brand appearance in AI Overviews is most strongly correlated with branded web mentions (i.e., the number of times your brand is positively named across authoritative third-party sources), according to an Ahrefs study. This is essentially digital PR’s core output, and it is one of the most powerful levers available to organic marketers right now.
Based on the last 4,000 pieces of U.S.- and U.K.-based coverage we’ve driven for our clients, 91% of AI search citations include expert insight rather than branded content or product pages. This means expert-backed, editorially independent coverage is critical. That’s why your internal experts are your most valuable asset in the current landscape, and why brands investing in genuine thought leadership, original research, and data-backed studies are pulling ahead.
The three content formats consistently driving LLM feature inclusion are product roundups and listicles (getting your brand into trusted “best of” editorials), reliable data-backed research that journalists and LLMs cite as authoritative, and expert thought leadership that positions your people as the go-to voices in your category.
What doesn’t work (and what Google has explicitly flagged in its recent release of GEO guidelines) is seeking inauthentic mentions using methods like artificial link schemes, fake expert personas, and manufactured coverage. Models are increasingly adept at distinguishing genuine authority from manufactured signals, and the reputational downside of getting caught is severe.
None of this works as a one-time effort. Multiple studies, including research from Waseda University, have identified a correlation between AI brand visibility and content recency.
Brands that maintain a steady drumbeat of credible, expert-backed third-party coverage don’t just appear more often in AI responses. They appear more confidently.
Frequency and freshness of coverage both matter. It’s not enough to deliver a one-off PR campaign. This is a strategic investment that needs to be “always on.”
Track your visibility across AI search, uncover missed opportunities, and grow your presence where customers are asking questions.
The framework in practice
When talking about brand discovery in 2026, three words are essential:
- Found: Map your audience’s real sources of influence and be credibly present there — across the fragmented ecosystem where discovery now happens.
- Understood: Ensure that everything said about your brand tells a consistent story: one that matches how you want to be positioned and reinforces the associations that drive preference.
- Chosen: Continuously generate genuine trust signals through earned coverage, expert commentary, and third-party validation so that when a human or a machine is deciding between you and a competitor, the weight of credible external evidence tips in your favor.
The brands winning in organic search right now haven’t cracked some new technical trick. They’ve built a reputation that’s genuinely worth recommending and made sure the machines know it. Stop chasing the algorithm and start building something worth finding.
