AI Has Rewritten How Consumers Find You. Here's Your Guide to Winning in AI Search.

Media Minute is WPP Media's series, specifically crafted to empower our clients and marketers for their intelligence era.

The Search Landscape Has Changed. Has Your Strategy? 

Not long ago, search was simple. Someone typed a few words into Google, scanned a list of links, and clicked through. That world is gone. 

Today, people are typing 20-word questions into AI tools, having full back-and-forth conversations, and moving from awareness to purchase, all within a single chat. The entire funnel can now happen inside one AI interaction, and brands that are not showing up in that conversation are simply being left out of it.  

For C-suite leaders, this is not a marketing challenge. It is a business challenge. 

Why You Cannot Wait for the "Right" Moment 

The instinct to hold back, to wait until best practices are established and the playbook is written, is understandable. But in this environment, that instinct is a liability. 

The AI search landscape is moving faster than any shift we have seen before. If you wait until everything is settled, the industry will have already moved on, and you will be playing catch-up. The brands winning right now are the ones adopting a test, pivot, and learn mindset. They are getting in early, building knowledge, and adapting quickly. 

The time to start is now. 

This Goes Beyond Paid Media 

 Many organizations are used to considering search a media challenge. But to win in this new AI world, you must develop a cross-functional strategy well beyond just media.  

To effectively compete in the age of generative AI, you need your paid media teams, organic teams, content and creative teams, community managers, PR professionals, and analytics teams, all working together with a shared strategy. Each function plays a role in shaping how AI systems understand, describe, and recommend your brand. 

Siloed teams produce siloed results. Integration is the only approach that works. 

Five Things Enterprise Leaders Need to Do Right Now 

1. Start With an Honest AI Audit 

Before you build anything, you need to know where you stand. How is your brand currently performing inside large language models (LLMs)? Is it being recommended? Is your content being cited? Is the information these AI tools are surfacing about your brand actually accurate? 

Consider which platforms are likely to have the most impact on how your customers discover and shop. Start with the heavy hitters like Gemini and Chat GPT, but don’t neglect regionally relevant players like DeepSeek or retail assistants for endemic commerce brands like Amazon’s Rufus. 

This audit becomes the foundation for everything else. It tells you what is working, what is broken, and where the biggest opportunities lie. 

2. Build Content That LLMs Can Actually Use 

The way brands used to write content, keyword-heavy, technically worded, full of proprietary terminology, does not serve AI search. LLMs are looking for natural language that directly answers the questions real people are asking. 

Think about it from the consumer side. Someone asks: "What is the best hotel for a long weekend city break?" or "Which airline has the most flexible cancellation policy?" Your content needs to meet that question directly, in plain language, in a format that an AI system can easily read and reference. 

The technical principles are not completely different from traditional SEO, but the language and intent need to shift. Write for people first, and structure it so machines can follow along. 

3. Build an Army of Corroborating Sources 

LLMs do not just look at your owned content. They are scanning the wider web for sources that back up what your brand is saying. That means your social presence, your influencer and creator partnerships, review sites, YouTube, Reddit, and trade publications and relevant websites all feed into how AI represents your brand. 

Think of it as building an ecosystem of credibility. The more consistent your story is across these channels, and the higher the volume of people talking about your brand, the more likely an AI is to surface and recommend you. Positive sentiment is ideal, but the key is that the conversation is happening at all. 

Social media has become its own search engine. Creators and influencers are trusted signals. YouTube, in particular, is gaining significant weight as a source for LLMs. These are not nice-to-haves anymore. They are core to your AI visibility and consumer discovery strategy. 

4. Focus Your Authority Where It Matters Most 

You do not need to be authoritative about everything. In fact, trying to be is a fast route to being authoritative about nothing. 

Work out which topics, categories, and conversations matter most to your business. Then build your content and ecosystem strategy around those specific areas. Concentrated authority is far more powerful than a broad, thin presence. 

5. Rethink How You Measure Success 

This is perhaps the biggest mindset shift for enterprise leaders. The old metrics, site visits, ad clicks, direct attributable conversions, do not capture the full picture anymore. A customer might complete an entire purchase journey from a single ChatGPT conversation without ever clicking a link to your site. 

That does not mean measurement is impossible. It means you need to start integrating new partners and new metrics into your overall measurement framework, ones that can help you track your performance inside LLMs over time and give you a more complete, holistic view of how AI-driven discovery is contributing to growth. 

One More Thing: Build Your Tiger Team 

All of this requires cross-functional coordination at a level most organizations are not used to. The recommendation is to identify key stakeholders across marketing, IT, content, PR, and product, analytics and bring them together into a centralized unit focused specifically on navigating this shift. 

Call it a tiger team, a task force, or whatever works for your culture. The point is that this challenge is too interconnected to be owned by any single department. 

The Bottom Line 

AI search is not a future consideration. It is a present reality, and it is reshaping how consumers discover, evaluate, and choose brands at every stage of the journey. 

The organizations that will come out ahead are the ones that start now, break down internal silos, build credibility across the right channels, and develop the measurement tools to understand what is actually working.