How to get chosen by AI platforms that control search

ChatGPT is now the fifth biggest website in the world. That single fact tells you more about the future of the Internet than any trend report. It shows that browsing is no longer a purely human behaviour. We are entering Web 4.0, a phase where AI platforms interpret intent, navigate the web, filter options and present answers back to us.

The question marketers now need to confront is not “how do I get more attention?” but “how do I get chosen by the AI platforms that decide what consumers see?”

Most marketers have been conditioned to think about visibility as reach. Get seen, get clicked, get converted. The click economy built digital marketing, fuelled attribution models, and shaped how content is produced, measured and valued.

But in Web 4.0, humans aren’t finding brands the way they used to, AI platforms are doing it for them. Brand relevance is being determined inside AI’s reasoning loops. The future of digital marketing will depend on influencing these models, not optimising for rank. The battleground is shifting from “how can I rank highest?” to “why would an AI platform think I matter in this context?”

Brand visibility works differently now
Most brands still optimise their online content for consumers and crawlers. This is built on an assumption that people browse, evaluate options and move through funnels. But AI platforms are collapsing those funnels and challenging traditional marketing measurement techniques. The infrastructure of digital marketing was built for consumers that are no longer behaving in the way they used to.

A better question marketers should be asking is, “how do AI platforms actually treat content?” Based on our work this year, we’ve uncovered five universal truths:

– Semantic URLs matter. “/best-crm-startups” is visible. “/page?id=12345” is less so. AI platforms prioritise natural language URLs over coded routing.

– Answer-first content wins. AI platforms are trained as question-answer machines. FAQ-like content gets cited far more frequently.

– Authority looks different. One Reddit discussion often outranks entire brand blogs because AI platforms treat community-validated knowledge as more authoritative.

– JavaScript is invisibility. AI crawlers don’t wait for JavaScript to render. If your website content only appears once JS is executed, it effectively doesn’t exist to AI platforms.

– Freshness is disproportionately rewarded. Content from the last 30 days is heavily prioritised when models search.

There’s one other thing marketers need to understand: AI platforms search, see and cite differently. They don’t view images or animations; they parse text. They favour long-tail blogs and smaller YouTube channels that align closely with the intent behind a user’s question. And they inherit brand associations and amplify them. In other words, your brand’s visibility is driven by how accessible you are to machines. Not how polished your site looks, how many followers you have, or how well your content is optimised for traditional search algorithms.

What marketers should be focusing on
If AI platforms are now mediating discovery, research and recommendation, marketers need a clearer framework for how to influence visibility. Based on the latest findings, there are six truths that matter most.

– AI presence is not a one-off optimisation. It needs to be managed continuously. The starting point is understanding how consumers prompt in your category, auditing how your brand shows up in those conversations, deciding which topics you want to own, then testing and monitoring what actually improves presence over time.

– Your site must be readable by machines, not just people. Most AI crawlers respect robots.txt, do not wait for JavaScript to load, and benefit from strong accessibility foundations. If key content is blocked, hidden behind client-side rendering, or poorly structured, it is less likely to be understood or surfaced.

– Content structure is now a visibility lever. Semantic URLs help signal meaning, schema.org helps models categorise content, and FAQ formats align naturally with how large language models process information.

– Authority increasingly lives beyond your own website. AI platforms draw heavily from the wider ecosystem of trusted content, especially comparative reviews and fresh content. That means brands need to think more broadly about where credible discussion and recommendation actually happen.

– Relevance often beats scale. On YouTube, AI platforms often rely heavily on titles and the opening words of descriptions, which means clear, intent-matching framing can outperform bigger channels with vaguer titles. On Reddit, visibility comes from being in the right communities, being helpful, balanced and human, rather than sounding like polished brand messaging.

– Commerce data is becoming part of marketing strategy. AI platforms are moving closer to transaction, and richer product data increases the chances of being surfaced. Product feeds that include pricing and availability, images and video, ratings and reviews, store locations, customer service details and FAQs give models more context, with structured FAQs appearing especially powerful.

The shift to Web 4.0 doesn’t remove the need for great content or strong human experiences. It simply adds a new prerequisite: you must be intelligible to the machines that now mediate many consumer experiences online. In a world where AI platforms decide what consumers see, the brands that learn to influence how they appear will be the ones which remain visible in the human one.

Sean Betts is chief AI and innovation officer at Omnicom Media