From the customer’s perspective, nothing disappeared at all. They were simply doing research somewhere else.
This makes attribution considerably messier.
A company could theoretically become more influential in its category while seeing fewer informational clicks because the information itself is being consumed through search interfaces and AI assistants.
That doesn’t mean traffic stops mattering. Websites remain extraordinarily important, especially as customers move closer to evaluating, trusting and purchasing from a business.
But marketers will have to become more comfortable distinguishing between traffic and influence.
The two used to overlap much more neatly than they may in the future.
Customer acquisition is becoming less linear
The traditional marketing funnel was never as tidy as the diagrams made it look, but AI is making that especially obvious.
Customers can now outsource significant portions of their research.
Someone evaluating accounting software can ask an AI assistant to explain the category, identify suitable vendors, compare pricing, summarize reviews, list potential drawbacks and suggest questions to ask during a demo.
By the time that person reaches a company’s website, they may know considerably more than the average visitor did five years ago.
That changes what the website needs to do.
If someone already understands the basic category, repeating introductory information isn’t particularly helpful. They may be looking for evidence, differentiation, implementation details, pricing, integrations, customer stories or reassurance that the product actually fits their specific situation.
In that sense, AI doesn’t necessarily remove the company from the buying journey. It can change the point at which the company enters it.
This has implications far beyond SEO.
Content strategy, brand positioning, product marketing, paid acquisition, sales enablement and customer experience all become part of the same discoverability problem.
If AI introduces someone to your company, what will they find when they investigate further?
And will what they find reinforce the recommendation?
Brand becomes more important when information becomes abundant
There’s an irony in all of this.
The more capable AI becomes at organizing information, the more important I think brand becomes.
When everyone can explain the same concept, publish the same basic information and create reasonably polished content at almost no cost, information itself becomes less differentiating.
People still need reasons to choose.
They choose companies they recognize, experts they trust, products people they respect recommend and brands associated with particular ideas or outcomes.
This matters for AI discovery too.
A company doesn’t become authoritative simply by publishing 500 AI-generated articles saying that it is.
Authority accumulates through a much broader ecosystem: original research, credible mentions, customer experiences, reviews, expert contributions, links, discussions, partnerships, media coverage and consistent association between a brand and a particular subject.
In traditional marketing language, some of that belongs to SEO, some to PR, some to content, some to brand and some to customer experience.
AI doesn’t particularly care about our departmental boundaries.
It encounters the information those activities leave behind.
That means companies thinking seriously about AI-era acquisition will eventually have to think beyond optimizing individual pages and start considering the broader information environment surrounding their brand.
