The New Search Result Is an AI Answer. Local Advertisers Need to Be in It.

Estimated read time: 6 minutes

The New Search Result Is an AI Answer. Local Advertisers Need to Be in It.

For years, local advertisers worried about where they appeared on Google.

The first page mattered. The map pack mattered. The review score mattered. The paid search ad mattered. A plumber, hospital, car dealer, restaurant, bank, roofer or personal injury lawyer could build a significant part of its marketing strategy around one central question: Will the customer find us when they search?

Now the search itself is changing.

Consumers are increasingly getting answers from artificial-intelligence systems before they ever click a link. Google’s AI summaries, ChatGPT, Gemini and other AI tools are beginning to act less like search engines and more like advisers. They summarize options. They describe companies. They explain categories. They recommend what to consider. In some cases, they may answer the consumer’s question without sending the consumer to a website at all.

That creates a new challenge for the advertising business. It is no longer enough to be visible to people. Brands also need to be visible to the machines that are interpreting the marketplace for people.

A recent MediaPost article framed the issue this way: the advertising industry has long focused on earning attention, but AI discovery is forcing marketers to think about whether their content will be referenced by AI systems. In that environment, visibility begins shifting from clicks to citations.

For local media salespeople and ad agency professionals, this may sound like a national brand problem. It is not. In many ways, the local consequences could be more immediate.

Think about the kinds of questions consumers may soon ask AI systems:

Who are the best orthopedic practices near me?
Which local bank is good for small businesses?
What are the most trusted roofers in my area?
Which car dealers have a good reputation?
What should I know before choosing a senior living community?
Where should I take my family for dinner this weekend?
Who are the leading personal injury lawyers in this market?

Those questions used to send a consumer into search results, review sites, directories, news articles, local ads and company websites. Increasingly, they may generate an answer.

The businesses included in that answer will have an advantage. The businesses left out may never know they were invisible.

That is why earned media is taking on new importance. Muck Rack’s 2025 research, based on more than one million links cited by AI tools, found that 95% of AI citations came from non-paid media, 89% came from earned media, and 27% came from journalistic content. The company also found that nearly half of citations for recent queries came from journalistic content.

The exact mix will vary by AI system, query type and category. But the direction is clear: AI tools are not simply reading ads. They are reading the web’s accumulated record of credibility.

That record includes news coverage, trade publications, local journalism, company websites, expert commentary, community discussions, reviews, forums, podcasts, videos and structured information. AI systems look for patterns. When a company is described consistently across credible sources, its reputation becomes easier for the machine to understand. When the signals are thin, scattered or contradictory, the company becomes harder to summarize.

This changes the sales conversation for every local medium.

For newspapers, city magazines, business journals, community publications and local digital news sites, it strengthens the value of original reporting and credible local content. A feature story on a hospital expansion, a business profile on a fast-growing dealer group, a restaurant review, a home-services special section or a local leadership interview may now have value beyond the initial reader. It may become part of the record that AI systems use to understand a company’s relevance and authority.

That does not mean editorial coverage should be sold or manipulated. It does mean advertisers should understand the broader value of appearing in credible local environments. Sponsorships, thought-leadership sections, expert columns, community guides, event coverage and properly labeled native content can all help create a richer public footprint when done with transparency and standards.

For radio, AI discovery may seem distant. It is not. Local radio creates repeated mental availability, but it can also produce searchable authority when stations extend interviews, podcasts, community segments, advertiser spotlights and local business conversations onto the web. A five-minute interview with a healthcare leader, contractor, financial adviser or restaurant owner should not disappear after it airs. It should live as audio, transcript, summary, social post and website content. That turns radio’s local trust into material AI systems can find.

For television, the same principle applies. Local TV has long been a credibility machine. But in the AI era, video alone may not be enough. Stories need metadata. Segments need pages. Interviews need summaries. Local advertiser integrations, community programs and expert appearances should be structured in ways that are understandable to both humans and machines. A local news feature can help build awareness today and authority tomorrow.

Cable can use the same logic around neighborhood expertise. Local cable systems and regional sports, lifestyle and community programming often produce content that reflects specific geographies and interests. When that content is searchable, structured and connected to advertiser expertise, it can help reinforce the signals AI systems interpret.

Outdoor has a different role. A billboard will not be cited by an AI answer. But outdoor helps create the familiarity that makes people ask better questions and recognize names when they appear in AI-generated answers. If a consumer asks an AI system about injury lawyers, hospitals, furniture stores or HVAC companies and then sees a familiar name, the offline exposure still matters. Outdoor builds memory in the physical market; AI may later organize the options digitally.

Digital sellers and agencies sit closest to the shift. SEO is not going away, but it is no longer sufficient by itself. The industry is now talking about answer engine optimization, or AEO, and generative experience optimization, sometimes called GEO. The terminology may sound like another round of digital jargon, but the underlying idea is simple: companies need their expertise, reputation and facts to be easy for AI systems to interpret.

That means websites must be clear. Business information must be accurate. Content must answer real customer questions. Pages should explain services, locations, credentials, pricing factors, service areas, leadership, history and proof points. Third-party mentions should reinforce the same themes. Reviews and community conversations should not contradict the brand’s promise.

In the past, marketers often divided this work into separate boxes. Advertising bought attention. PR generated coverage. SEO improved rankings. Content marketing filled the website. Reputation management watched reviews. Social media handled conversation.

AI discovery collapses those boxes.

The machine does not care which department created the signal. It sees the pattern.

If a local hospital says it is a leader in orthopedics, but local articles, physician profiles, patient education content, community sponsorships and reviews do not support that message, the claim is weak. If a bank says it serves small businesses, but there are no local business interviews, customer stories, chamber involvement, educational guides or third-party mentions to reinforce it, the claim may not travel far. If a car dealer says it is trusted, but the web record is dominated by complaints and inventory pages, AI may not describe it the way the dealer hopes.

That is the new visibility equation: authority, clarity and corroboration.

Authority comes from credible sources.
Clarity comes from owned content that explains what the business does and why it matters.
Corroboration comes from repeated validation across media, customers, community platforms and local conversation.

This gives local media companies a new way to help advertisers. The pitch should not be, “Buy this schedule and get impressions.” The stronger pitch is, “Let’s build the market evidence that makes your business easier to find, trust and recommend.”

That may include a radio campaign paired with expert interviews and website content. A TV schedule tied to a local service-line story and video clips. A print sponsorship connected to a special section and digital article. An outdoor campaign that reinforces a name already supported by search-friendly content. A digital campaign that captures demand while also improving the advertiser’s owned content and authority signals.

For agencies, this is an opportunity to move beyond campaign execution into visibility architecture. Clients will need help answering basic but important questions:

What should we be known for?
Where is that message documented?
Who credible has said it besides us?
What do customers and communities say about us?
Would an AI system understand our expertise from the evidence available online?
Are we giving the market a clear, consistent story to repeat?

The phrase “earned media” can sound old-fashioned in a paid-performance world. But AI may be making earned authority newly measurable. Muck Rack’s follow-up reporting in late 2025 found that non-paid sources continued to dominate AI citation behavior, with earned media still accounting for a large share of citations. It also noted that press-release citations had increased, suggesting that structure, facts and clarity can influence what AI systems select and cite.

This does not mean every local advertiser needs a national PR campaign. It means every advertiser needs a stronger public record.

A roofer should have useful storm-preparation advice, local project examples, licensing information and third-party mentions.
A hospital should have physician expertise, patient education, community health initiatives and local coverage.
A restaurant should have reviews, local stories, chef interviews, event listings and consistent information across platforms.
A bank should have financial education, small-business involvement, executive commentary and community proof.
A dealer should have reputation signals, buyer guides, service content and local market visibility.

The local media seller who understands this becomes more valuable. So does the agency professional who can connect creative, media, PR, search and content into one plan.

The risk is that local advertisers continue to think of AI as merely a tool for writing ads. It is becoming something larger: a filter through which consumers understand the market.

If AI systems become the front door to discovery, then local businesses need to make sure there is something credible waiting on the other side.

The future of visibility will not belong only to whoever buys the most media. It will belong to the brands whose authority is easiest to recognize, whose story is clearest to repeat and whose reputation is supported by evidence across the open web.

In the old search world, advertisers wanted to rank.

In the AI discovery world, they will want to be referenced.