The search experience most of your customers are now getting by default isn't 10 blue links. It's one AI-generated answer — more detailed, more personalised, and increasingly delivered as a custom widget, table, or visual built specifically for the query. People aren't typing two-word keyword strings anymore. They're asking full sentences. Full paragraphs of context. Follow-up questions. Google IO made it official: search is AI-first now, and it's not going back.

Logan Kilpatrick, who works at the intersection of AI and Google, called it the biggest overhaul to search in 25 years. Kipp agrees. So do we.

Here's what most marketers haven't processed yet. In traditional search, ranking number one meant you owned that query. You were the answer. In AI mode, ranking number one means you have roughly a 17 to 36 percent chance — depending on the query — of being cited in the response your customer sees. Data shows the overlap between Google's top 10 organic results and what AI mode actually cites is startlingly low.

You went from being the de facto answer to having about a third of a chance of showing up at all. That's not a gradual decline. That's a different game.

And because of this, traffic to publishers has been falling for two years. The sooner you stop waiting for it to reverse and start playing the new game, the better your position will be.

Here's the one signal that's still working in your favour: branded queries. When someone already knows your name and searches for you specifically, AI overviews drive an 18 percent click-through rate. That number tells you something critical — the brands with real market recognition, real credibility, real awareness are the ones who survive this transition. You can't SEO your way into being cited by AI. You have to actually be known.

This isn't the era of hiding behind search mechanics and letting your content do the distribution work. Brand building is now a search strategy.

In AI search there are two ways your brand can appear in a response, and they are not equivalent.

A mention is when AI references your brand inside the answer itself — names you as an option, includes you in a comparison, acknowledges you exist. That's good. A citation is when AI links to your content in the source sidebar — treats your site, your data, or your writing as evidence it's drawing on to construct the answer. That's better.

If you can become cited in an AI overview, you get 35 percent more organic clicks and 91 percent more paid clicks than if you're unsighted. The gap between mentioned and cited is the gap between brand awareness and actual traffic. Both matter. They require different strategies. And right now most teams aren't tracking either one.

"What are the best [product category] solutions for a [company size] company? List the top options, explain what each is best known for, and tell me which sources you're drawing on to make these recommendations."

What this surfaces: Whether you're in the consideration set at all, what AI understands your brand to be known for, and which sources it's trusting to form that opinion. 

"I'm a [job title] at a [company size] [industry] company and I'm starting to research [category] tools for the first time. What should I know before I start, and which companies are worth putting on my initial list?"

What this surfaces: Whether you exist at the very start of a buyer's journey — before they've formed a shortlist, before they've talked to sales, before they know what questions to ask. If you're not here, a significant portion of your market doesn't know you're an option.

"We're struggling with [specific problem your product solves]. What are the most effective approaches to fixing this, and which companies or tools are considered best at solving it?"

"Who are the main players in [your category]? For each one, tell me what they're best at, who their ideal customer is, and what their reputation is in the market."

What this surfaces: How AI has positioned your brand relative to your competitors. Often reveals a gap between how you describe yourself and how AI understands you — which is a direct signal of what content you need to create.

"What are the best resources, guides, or companies to follow to stay current on [your category or topic area]? List specific sources and explain why each is considered authoritative."

What this surfaces: Which sources AI treats as genuinely authoritative in your space. If your content, your executives, or your brand don't appear here, you're not being cited as an authority — you're just being acknowledged as a vendor.

"What's the best way for a [specific ICP] to [specific use case your product enables]? Walk me through the approach and cite any examples, case studies, or companies that have done this well."

What this surfaces: Whether your customer evidence — case studies, named outcomes, documented results — is making it into AI answers. This is the most direct test of whether your original content is working.

"What does the research say about [trend or problem directly related to your category]? Cite the most credible studies, reports, or data sources you're aware of."

"What do people on Reddit say about [your brand] and [your category]? What are the most common opinions, recommendations, and criticisms that come up in community discussions?"

"What do customer reviews say about [your brand] compared to [top competitor]? What are the most common reasons customers choose one over the other?"

What this surfaces: AI pulls heavily from G2, Capterra, and similar platforms when forming its opinion of software brands. This shows you what narrative AI has absorbed from your review profile — and whether it's working for or against you.

"Who are the most respected voices or companies publishing content about [your category]? Who does the industry tend to look to for guidance, frameworks, and original thinking on this topic?"

What this surfaces: Whether your executives, your brand, or your content have broken through as genuine thought leaders in AI's understanding of your space. There's a difference between being a vendor in a category and being an authority in it. This prompt tells you which one you are.

"What are the most useful YouTube channels, videos, or creators covering [your category or topic]? Who produces the best educational content in this space?"

What's the most useful type of content available on [your category]? Are there good data studies, original frameworks, case studies, or comprehensive guides that you'd consider genuinely best in class? What makes them worth citing?"

What this surfaces: What content format AI considers authoritative in your category. If it names original data studies and you only publish opinion posts, that's your content strategy gap in plain language.

"What are the most important things that aren't well understood or widely discussed about [your category]? What do most companies or marketers consistently get wrong about it?"

"What are the most common reasons companies hesitate before buying a [category] solution, and what information or reassurance do they usually need to move forward with a decision?"

"Walk me through how a [job title] at a [company size] [industry] company would evaluate, select, and implement a [category] solution in 2025. At each stage of the process, what resources, companies, or content would they most likely turn to?"

What this surfaces: Your complete AI visibility map across the entire buyer journey in a single response. Where you appear, where you go quiet, and where a competitor is owning the narrative. This is the single most diagnostic prompt in the set. Run it last, after you've reviewed everything else, and it will tell you exactly where to focus.