AI Doesn't Discover Brands. It Discovers Reputations.

For years, digital marketing was largely a game of visibility.

Rank higher, get more clicks, convert more visitors.

Search rewarded brands that understood algorithms and were willing to spend. PR never disappeared, but it became harder to justify. A feature in a major publication built credibility, but proving business impact was another matter. As marketing became increasingly measurable, the conversation shifted from authority to traffic.

At Forklift, we've spent years helping food and beverage brands build attention through PR, thought leadership, chef relationships, business and consumer relationships, events, and content. We watched, like everyone else, as the industry shifted toward performance metrics as the primary language of marketing success.

It made sense. The tools improved. Attribution became clearer. The ROI math became easier. But AI may be changing the value of reputation. Not by taking marketing back to the Mad Men era, and not by making SEO irrelevant. The shift is more subtle than that. AI appears to be increasing the value of expertise, third-party validation, and earned authority.

The brands that consistently appear in AI-generated answers tend to share one thing: they have built credible references over time. They have been written about, quoted, reviewed, recommended, and discussed by people other than themselves.

In other words, many of them were built the old-fashioned way.

They earned coverage instead of buying impressions. Chefs talked about them. Journalists covered them. Retailers stocked them. Customers recommended them.

The Reputation Was Built Before the Algorithm.

Red Boat Fish Sauce didn't earn its reputation by mastering search. It earned it because chefs talked about it, journalists wrote about it, retailers carried it, and home cooks recommended it. Long before anyone asked ChatGPT about fish sauce, people had already reached a consensus that Red Boat was worth talking about.

That is the kind of signal AI systems appear to notice.

Much of the marketing conversation right now centers on how to influence AI. New frameworks for GEO, AEO, prompt optimization, and schema markup seem to appear every week. Some of it is useful. But the more important shift may have less to do with optimizing for AI and more to do with what brands have already built.

What AI Is Really Reading

When someone asks an AI assistant about the best fish sauce, the most interesting chocolate maker, or the chef who defines a particular cuisine, the answer is not pulled from a single optimized page. It is assembled from trade coverage, podcast interviews, reviews, research reports, expert commentary, and industry discussions.

The same ecosystem that has always powered earned media.

Muck Rack's research found that earned media accounts for the vast majority of citations across leading AI platforms, while paid and sponsored content barely register. Ahrefs found that most pages cited by ChatGPT come from highly authoritative domains, suggesting that years of third-party validation may matter more than many marketers realize.

The stories others tell about your brand may be becoming as important as the stories you tell yourself.

This is not entirely new. The brands with the most durable reputations have always been the ones genuinely discussed by journalists, industry experts, retailers, chefs, and customers.

What is changing is where those discussions end up.

They are no longer only shaping opinion in real time. They are becoming part of the information layer AI systems use to summarize, recommend, and synthesize on behalf of users.

SEO and Traffic Still Matter. But It Is Not the Whole Story.

I recently heard Rand Fishkin speak about AI discovery, and his perspective was more measured than much of what is currently circulating. He has cautioned that AI search remains relatively small compared with traditional search and that AI recommendations can be inconsistent.

He is right to pump the brakes. The marketing industry has a habit of declaring the future present before it arrives.

According to HubSpot's 2026 State of Marketing Report, website and SEO continue to be among the highest ROI-generating marketing channels.

At the same time, Bain found that 80% of search users now rely on AI-generated summaries at least 40% of the time. Among consumers who already use generative AI tools, 91% use them at some point in the shopping process. AI Overviews now appear in an increasing share of Google queries, and when they do, click-through rates often decline significantly.

Whether AI replaces search is almost beside the point.

The marketing industry tends to view every new platform through the same lens: learn the algorithm, figure out the ranking factors, optimize for visibility. That is certainly part of what is happening here. But it does not fully explain why earned media suddenly feels more valuable.

What is changing is not just how people find information. It is how information about brands gets assembled in the first place.

The Reputation Layer

AI is increasingly creating a composite picture of a company from hundreds of sources across the web. That picture may be imperfect, but it can influence recommendations, summaries, and purchasing decisions.

In that sense, AI is starting to function less like a search engine and more like a reputation layer.

PR used to have one audience: people. Today it has two. People, and the AI systems they are increasingly relying on to help make decisions.

A story in Food & Wine is no longer valuable only because someone reads it. A podcast interview is not valuable only because someone listens. A mention in a trade publication is not valuable only because it reaches industry insiders.

These things have always mattered because they build credibility. What has changed is that they now contribute to how AI systems understand expertise, authority, and relevance.

PR has always shaped perception. Now it is starting to shape retrieval as well.

Why CPG Brands Should Pay Attention

This is particularly relevant in food and beverage, where trust has always traveled through channels the brand does not fully control.

A chef mentions an ingredient in an interview. A trade publication covers an emerging brand. A retailer includes a product in a trend report. A journalist quotes a founder.

None of those moments seems decisive on its own.

Together, they create a reputation footprint that persists, and AI systems are increasingly reading it.

Publishers are under enormous pressure today. Search traffic is declining. Advertising economics are shifting. AI-generated content is competing for the same attention publishers spent decades cultivating.

Yet AI systems continue to depend heavily on the credibility, expertise, and reporting that publishers create. The value of earned media is rising at exactly the moment the economics of media are becoming more challenging.

Why Earned Media Looks Different Now

Historically, PR and thought leadership were treated as awareness drivers. Increasingly, they look more like long-term assets.

The signals that influence whether a brand gets recommended by an AI system are not built in a single campaign. They accumulate over time through consistent participation in the conversations that shape a category.

The Brands Worth Talking About

The brands that figure this out will not necessarily be the ones publishing the most content or optimizing the hardest. They will be the ones journalists call when they need a quote. The ones experts cite when they are making a point. The ones customers mention when someone asks for a recommendation.

The last decade rewarded brands that were good at being seen.

The next may reward brands that are worth talking about.

AI is not bringing back the Mad Men era. It is simply making reputation measurable in a new way.