It isn’t a prediction to say that it isn’t enough to just be a great brand in the current landscape. For years, companies needed to create effective strategies to have their brands found. In 2027, brands will need to align the need to create an authentic voice with the task of building authority for AI systems to increase visibility.
Companies optimized websites, pursued search rankings, earned media coverage and built social visibility. All of these were built with the expectation that these discovery channels would eventually lead someone back to a website for a sale or a brand experience.
AI is changing that sequence.
Now, the answer itself is becoming the destination. According to a study done by website provider Wix, websites had 25 billion AI search visits in Q1 2026.
The shift is happening because customers ask ChatGPT for a recommendation. A buyer asks Gemini or Claude to compare vendors. An executive uses an AI assistant to research a potential partner.
Instead of doing primary research from links in Traditional SEO, users get a synthesized response without requiring the user to click through to the original sources. It also doesn’t provide the traditional 10 links, but it can provide citations that range from 3.7 in ChatGPT to 7.3 in Google AI Overviews.
That means a brand might name, accurately characterized and recommended—or it may never enter consideration.
Caroline Prince of Yucatan captures the implications in a single sentence: “In a generated answer, there is no page two.”
With the loss of opportunity, it could fundamentally change what organizations mean by “discoverability.” Thought leaders in the AI response space already understand the objective will no longer be only to get rankings. The new discoverability economy will demand that a brand be understandable, credible and authoritative enough to become part of the answer.
Shifting from search of search to share of answer
Traditional search opened a door. Generative AI can close the exploration loop. Roger Hurni of Off Madison Ave describes the behavioral shift as “cognitive surrender.” There is often a behavior that people often accept an AI-generated response and continue with the decision. AI had eliminated the need for users to open ten links and conduct research on their own.
“Search results started a process,” Hurni says. “An AI answer ends one. The answer becomes the decision.”
Along with this shift, a very different competitive environment has emerged. When a brand ranks fourth rather than second in traditional search, it still has an opportunity to collect about 3-4% of clicks.
“Search rankings and traffic still matter, but organisations increasingly need to understand whether they appear in relevant AI-generated answers, how they are described and which sources shape those responses,” Stephanie Phillips of Phillips Group explained.
When an AI overview is shown on Google, that CTR drops to 0.8%. When an AI engine provides three recommendations and the brand isn’t among them, that is no fallback clicks in AI tools like Gemini, Claude and ChatGPT.
This is why Tina Charpentier of Padilla predicts that the next communications battleground will move “from attention to narrative ownership.” She expects “share of answer” to become an important complement to share of voice: not simply how frequently an organization appears in conversation, but whether AI systems include it when interpreting a category, explaining an issue or recommending a solution.
Elizabeth Marshall Black of K Harvey Brand Partners sees the same change coming to measurement. As more research takes place without a website visit, communications teams will need to understand the value of visibility that doesn’t produce a click.
“People are getting their answers straight from ChatGPT, Gemini and Google’s AI Overviews without ever clicking a link, and those tools lean heavily on what credible journalists and outlets have written,” Black said. I expect smart brands to start shifting budget from traditional SEO toward PR, and share of answer to become a metric we report right alongside share of voice.”
That poses an uncomfortable question for conventional digital measurement. If an AI engine recommends your company but the user never visits your website, did your communications work?
Increasingly, the answer may be yes.
Brands need to become machine-legible
The new discoverability economy is not simply SEO with a different acronym.
AI systems need to establish what an organization is, what it does and whether the available evidence supports those conclusions. That means the quality and consistency of the information surrounding a brand matter in new ways.
Daniel Chou of The Pollack Group puts it this way: “Every brand has a story it tells, and a set of facts machines can check. In 2027, the second will increasingly decide whether anyone hears the first.”
Consider the challenge from the model’s perspective. A company’s website describes its services one way. An outdated business directory describes them another way. Executive biographies conflict. Office locations are inconsistent. Old press coverage contains information that is no longer current.
A human researcher may notice the discrepancies and resolve them. An AI system has to synthesize them. As Chou notes, it may simply guess—or favor another organization whose information is easier to reconcile.
This elevates work that once looked like digital housekeeping into a strategic communications priority. Clear entity information, consistent descriptions, structured facts, current leadership information and pages that explain expertise in precise language all help AI systems understand what an organization represents.
Kayleigh Hanlin of True Digital Communications argues that this requires a more holistic view of visibility. Website content, PR, brand information, third-party mentions and reputation are no longer separate disciplines when all of them can influence the same AI-generated answer.
“Understanding the buying cycle, the audience, their pain points and the reality of the market create context that is hard to automate,” said Hanlin. “That knowledge comes from living in the industry every day, seeing the same challenges across clients and understanding what actually matters to the customer.”
In other words, the brand narrative and the brand’s factual infrastructure need to agree.
Earned Media Earns Its Keep
PR has traditionally valued media coverage partly because it places a brand in front of an audience through a credible third party. Those earned media references are now contributing to coverage from a second audience: the AI systems synthesizing information for users.
It isn’t just a change happening in one market. Those shifts are visible and important globally. Johannes Martschin of Martschin & Partner sees the that shift developing in Austria and across the German-speaking market.
By 2027, he expects generative engine optimization (GEO) to become a regular communications investment, but one built less around conventional keywords and more around “structured, clearly verifiable facts, reliable sources, and earned media that AI systems classify as trustworthy.”
Although Organic Search focuses on what company publishes on its own channels, independent corroboration gives that claim greater weight in AI. Credible journalism, expert commentary, industry sources, professional organizations and other third parties are part of the ecosystem used by AI systems to draw conclusions.
With this dependency, public relations becomes part of a broader verification infrastructure. The job is no longer only to get the organization mentioned. It is to build an authoritative record of what the organization knows, does and stands for.
Local visibility becomes part of global visibility
The challenge becomes more complicated for international organizations.
AI discovery is not necessarily a single global contest. Different languages and markets have their own media ecosystems, institutions, sources of authority and cultural context.
Imma Folch of LF Channel argues that international companies cannot assume visibility in English will automatically translate into visibility elsewhere. AI answers generated in a local language can depend heavily on the information environment available in that market.
“In 2027, the agency model that wins will not be the biggest, but the one that knows where it is standing. As large networks consolidate and cut, brands are discovering that scale often means distance: rotating teams, layered approvals and strategies designed elsewhere and translated locally,” Folch said. “Spain shows why this matters. It is not one market but several, with four official languages, strong regional media ecosystems in Catalonia, the Basque Country, Galicia or Valencia, and 17 autonomous communities with their own institutions and business networks.”
Just the language dynamic changes the role of local communications.
A global company may have extensive English-language coverage and still be weakly represented when someone asks a question in Spanish, German or another language. Trusted national and regional media, professional organizations, local experts and locally relevant owned information all contribute to how the organization is understood.
For Martschin, this has particular importance in the DACH region, where local institutions, associations and other credibility signals can carry significant weight. Generative discovery may be global technology, but authority remains highly contextual.
Optimize for the questions people actually ask
There is another reason communications teams cannot treat this purely as a technical exercise: AI changes the language of discovery.
People do not naturally think in keywords. According to a Semrush study, the average prompt length for search-enabled queries nearly doubled from 4.7 words to 8.7 words in one year.
Hurni offers a useful example. A traveler may not type “accessible resort.” They may ask: “Where should I take my parents for their 50th anniversary if my dad uses a walker?”
In addition to the number of words, that query contains intent, emotion, circumstances and practical constraints.
The organizations most likely to surface in that answer will need content and third-party evidence that address the underlying human problem, and not simply content optimized around a high-volume search phrase.
AI search won’t just be important for casual searches. It will be very consequential in categories involving complex decisions. Andras Nagy of PRBK Communications expects AI visibility to become particularly important distinct industries.
“AI could significantly help the purchaser (an average consumer, a CEO or a procurement manager) in saving time and ultimately money,” Andras said. “I firmly believe that in the following sectors AI visibility will be outstandingly important in 2027: travel, tourism & hospitality; B2B IT, tech and professional services; finance, insurance, fintech.”
This growth will be in areas where buyers must synthesize significant information before making a decision. The more complicated the decision, the more valuable an AI assistant can become. And the more important it becomes for organizations to understand the questions their audiences are really trying to answer.
Don’t optimize the human out of communications
For all the attention GEO and AI visibility will receive in 2027, brands should resist a predictable mistake: creating communications for machines at the expense of the people they ultimately need to persuade.
“The way you amplify the brand and your authenticity is with PR, with affiliates, with partners, Leigh McKensie (Semrush) said during his panel discussion with Worldcom PR Group in Cannes. “The way we like to look at it is first talk with your customers, look at the data and pick the models that are relevant to your audience.”
In 2027, communications team will need to understand how to put two divergent audiences in the drivers’ seat. Jake Neerland of Padilla argues that organizations need to find the middle ground. Ignore GEO entirely and competitors may outpace you. Lean too heavily into machine optimization and content can lose the usefulness, originality and relevance that made it valuable in the first place.
Serge Beckers of Wisse Kommunikatie makes a similar point. AI engines are not the customer. People are.
“Machines, platforms, and AI engines are not your customers or buyers; they are merely channels to reach them,” Beckers said. “It is still people who purchase your products and services, it is still people who decide whether they find you credible and trustworthy.”
As generative optimization matures, Beckers expects the emphasis to move from producing large volumes of GEO content to producing better content: original perspectives, informed opinions, creativity and strong journalistic thinking.
That may prove to be one of the more counterintuitive outcomes of AI-driven discovery. When machines can manufacture generic information at enormous scale, distinct human expertise becomes a stronger authority signal.
It also means that companies need to be open to moving into topics that might not have traditionally been top priorities.
“When it comes to algorithmic authority, [brands] will need to be more open to conversations that are less conventional and more respectful,” Luis Felipe Sánchez Lam from Estrategia Relaciones Públicas points out. “Above all, more authentic every day than what conventional chatbots have accustomed us to so far.”
The organizations that become the answer
Stefan Pollack of The Pollack Group believes the question brands ask will change accordingly: from “Do we rank?” to “Are we the answer?”
“Looking ahead, earned media, thought leadership, and owned content will converge into a single, integrated system,” explains Pollack. “Earned media shapes what others believe about your brand, while owned content provides the proof points that underpin credibility.”
Answering that question requires much more than technical optimization. Organizations need to be understandable: AI systems should be able to determine who they are and what they do.
They need to be verifiable: credible external sources should support their claims. And they need to be worth recommending: their expertise and differentiation have to answer a real human need.
The discoverability economy of 2027 will not eliminate search, websites, journalism or conventional PR. It will call for them to be connected in a new way.
Brands will still need to communicate with people. But increasingly, they will also need to consider the systems deciding which information those people see first.
The goal is no longer simply to be found.
It is to become part of the answer.
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