If you’ve searched for anything recently and noticed Google answering before you even click, you’ve already seen where search is heading. The familiar list of blue links is being replaced by AI-generated summaries that pull facts, quotes and brand names directly into the results page.

In the age of AI search, the algorithm has become the ultimate editor. It’s no longer just indexing the web; it’s reading it, judging credibility and stitching together a single narrative. And the ultimate judge of trust? Media coverage. It’s the same trend I highlighted in When no one clicks: how AI is changing SEO; search is now less about visibility through clicks, and more about how you’re represented in the summary itself.

For communications teams, that changes the game. You can no longer rely on a story being “found” through a headline or backlink alone. Visibility now depends on whether AI systems recognise your brand, understand what you do and trust the sources that talk about you.

That’s where Generative Engine Optimisation (GEO) comes in. It’s the emerging practice of helping AI search engines understand and describe your business accurately. And, perhaps unexpectedly, it puts media coverage right at the centre of search visibility again.

When you think about it, every time an AI model summarises an industry topic, whether it’s the logistics boom, the office-to-residential trend or the rise of mixed-use regeneration, it’s doing what journalists have always done: drawing from trusted sources, weighing credibility and quoting those it sees as authoritative.

So if media coverage still shapes human opinion, it now also shapes how AI systems learn to talk about your brand, your business, your services and the property you’re involved with.

From SEO to GEO: how search has changed

For years, SEO was about keywords and rankings. You identified what people were searching for, optimised your pages around those terms and worked to earn backlinks from relevant sites. It still matters, but the mechanics have shifted.

Generative search engines such as Google’s AI Overviews, ChatGPT Search and Perplexity don’t just index web pages. They read them, summarise them and stitch them together into a single narrative. When they do, they lean heavily on what’s already trusted and clearly written, often trade publications, company blogs, research papers and mainstream media. We’re already seeing this with Google AI Overviews.

That’s why GEO is different. Instead of optimising for a page position, you’re optimising for representation, ensuring that when AI tools talk about your sector, your name, quotes, and expertise appear in that summary.

In other words, GEO is less about chasing clicks and more about building context. Search engines no longer just rank what they find, they decide what to say about it.

For businesses in commercial property, a well-placed quote in a respected trade title may now carry as much long-term visibility value as a high-ranking web page. The systems feeding AI Overviews are learning who the credible voices are, and those voices are being surfaced and cited automatically.

The trend is clear: SEO tells Google what to show; GEO helps AI decide who to trust.

Why media coverage now shapes generative visibility

Good communications have always been about credibility, who says it, where it’s said and how it’s framed. What’s changed is how those signals are now read and reused.

When an AI model generates an answer about “UK office occupancy trends” (there's an example of this here: "When no one clicks") or “industrial property investment”, it isn’t scraping one article. It’s scanning hundreds, looking for patterns and authority. The brands and people it recognises most consistently are the ones it’s most likely to quote, paraphrase or cite.

This means traditional media coverage has become a direct input into how AI systems describe your market. The same stories that once shaped Google News results are now helping train the algorithms behind generative search. That same logic underpins AI knows the property market better than you do - if the insight your firm shares isn’t visible to AI, the story will still be told, just not by you.

To put it simply: coverage teaches context.

If your company is regularly quoted on a defined set of topics, AI engines start to associate your name with those ideas. Over time, you become a known entity, not just to journalists and readers but to the systems that summarise and explain the news.

A concrete example: search for “UK industrial rents forecast” in Google’s AI Overview. You might see a summary that quotes a report from a major consultancy and mentions a developer by name. That developer likely didn’t pay for that placement, they simply provided consistently quoted, trustworthy data that the algorithm learned to rely on.

The challenge for communications teams is now to optimise perception, ensuring that when AI describes a topic, it reflects your expertise and values accurately.

The practical takeaway? Every press release, comment or blog post should now be written with two audiences in mind: people, and the AI systems that learn from what people read.

How to make your media coverage GEO-ready

If you want your brand to appear in AI-generated search results, think like both a journalist and an algorithm. That means making your stories easy to interpret, verify and connect to real people.

For a closer look at the structural side, from metadata to schema markup, see Future-ready SEO: how AI is transforming commercial property online marketing and strategy.

Actionable steps for clarity and trust

• Be unambiguous about the story’s entities
  AI systems classify content by people, places, companies and sectors. Use clear headlines and opening lines. Instead of “Major letting announced”, say “Bond Real Estate lets 50,000 sq ft at Big Distribution Park, Basingstoke, to logistics operator XYZ.”
  That precision helps both journalists and AI models understand who did what and where.
• Name people and organisations consistently
  A quote attributed to “James Bond, Partner at Bond Real Estate”, carries more weight than one from “a company spokesperson”. Repetition of full names and titles builds entity recognition. If you want to be cited, make yourself visible.
• Publish original assets on your own site
  AI engines trace back to the source of data. Always host the survey, report or chart you reference in a press release. Even if another outlet reports your findings, the link, and authority, still point back to you.
• Use structured data where possible
  On your website, add simple schema markup (Article, Person, Organization) so search engines can confirm who authored the piece, who was quoted and where it was published. It’s invisible to readers but invaluable to AI crawlers building a map of expertise.
• Keep your language factual and measured
  AI systems favour content that explains rather than sells. Avoid phrases that feel promotional (“delighted”, “world-class”, “game-changing”) and lean on clarity instead. That’s also what journalists prefer.
• Reinforce your focus areas
  If your firm comments regularly on logistics, life sciences or regional investment, keep returning to those topics. The more consistently your name appears alongside a theme, the stronger the signal that this is your area of expertise.
• Track where you’re quoted (and where you’re not)
  Look at the stories being summarised in AI Overviews. Which publications does Google or Perplexity pull from? Which of your competitors are being cited? That tells you where to focus future outreach.

Handled this way, your communications become a structured trail of evidence, a pattern that both journalists and algorithms can follow. You’re not chasing clicks, you’re building context.

How to measure progress

Success in GEO looks different from traditional SEO. Rankings and page views still matter, but they don’t tell you whether your brand is being understood or recognised by AI systems. The signs of progress are quieter, but more meaningful.

• Branded search growth
  Look for people typing your company name into Google alongside words such as “property” or “valuation”. This shows awareness is spreading and that media coverage and visibility are working together.
• AI citation tracking
  Capture screenshots of when your firm or commentary appears in AI Overviews or chat-style search results. These moments are the new “starting position”, evidence that your expertise is being recognised as a source, not just a link.
• Monitor referrals from media outlets
  If traffic from trade titles or local business news rises after an announcement, it’s a sign your stories are resonating, and those mentions may also be feeding AI’s training data.
• Look for cross-platform recognition
  When journalists, analysts or other firms start referencing your data or quoting your people, it’s a sign your coverage is seeding wider authority. The algorithms see that too.
• Check how your people are represented online
  Search your senior team by name. Do their profiles, quotes and LinkedIn activity reflect consistent topics? Are they being associated with the areas you want to lead on?
• Use your analytics differently
  Instead of measuring “top-performing pages”, track “top-referenced entities”. Which stories, names or themes are consistently linked with your brand? Over time, those become the building blocks of GEO visibility.

There’s no single metric for authority in the generative era, but patterns emerge. If your content, coverage and commentary start to echo across search, social and AI summaries, always in a similar context, it means the signal is landing.

What it means for property marketing teams

For many marketing teams in commercial property, GEO sits somewhere between curiosity and confusion. It sounds technical, but it’s really about visibility, and visibility has always been the goal of good communication.

The main shift is how that visibility is now interpreted. AI search doesn’t simply list pages, it explains topics. When it does, it looks for trusted voices, recurring sources and consistent data. That means PR, content and SEO can no longer operate as separate silos. They feed each other.

A developer that publishes a quarterly construction report, earns coverage for it in several trade titles and posts a short LinkedIn summary with commentary from its directors is sending out multiple signals. Together, those create a pattern of authority around that firm and subject.

A business that only posts about completed deals, however, without offering insight or follow-up commentary, remains invisible to AI systems looking for expert context. It’s visible on the day of publication, but not necessarily in the long-term knowledge layer that AI is now building.

The challenge for marketing teams is to think about what kind of expertise they want AI to recognise. Is it logistics? Office leasing? Mixed-use regeneration? Sustainability reporting? Whatever it is, the task is to make sure every piece of content, every release, blog or quote, reflects that position clearly. Staying consistent also helps prevent what's considered AI brand drift - when AI starts telling your story for you, but gets it wrong.

The other change is cultural. GEO rewards brands that communicate clearly and share genuine knowledge. It doesn’t favour spin or style over substance. The property firms that lead in this space will be those whose communications teams treat every story as both a human communication and a structured data point.

That’s not a big leap. It’s simply an evolution of what good communicators already do: tell the truth, tell it well and tell it often enough that people, and now AI, remember who said it.

Looking ahead

Generative search isn’t replacing the web, but it is reshaping how people and brands are found. The lines between journalism, marketing and search visibility are blurring.

For property companies, that creates both a challenge and an opening.

The challenge is that AI systems now decide how your story is told, often before someone even reaches your website. The opening is that you can influence what those systems learn, simply by communicating with purpose and consistency. Media coverage, expert commentary and research reports aren’t just marketing outputs anymore. They’re training data for the next generation of search.

Ultimately, GEO is set to become the new battleground for authority. The challenge is clear: if you don’t define your expertise, the algorithm will define it for you, or worse, quote your competitor.

The stories you publish today will help decide that.

Call to action

AI search is reshaping how expertise is recognised online. If you’d like to understand how your company’s media presence influences that visibility, let’s talk.

Get in touch if you’d like to explore how your stories can stay visible in the age of AI search.