Your rankings are intact. Your reports look fine. But somewhere between the query and the click, you lost the user, and no dashboard is telling you why.

A few years ago, I worked briefly at a creator-led company in Brazil and spent years closely following that market. The entire marketing model there was built around influence, not traffic. Leads moved through top-of-funnel content and community before ever touching a website.

What we tracked were micro-conversions along what I call the influence funnel: the path by which a creator's or brand's influence guides a user from discovery to a destination belonging to that creator or brand.

When I look at what Google is building today, I recognize that older model immediately. In this piece, I want to show you the infrastructure already in production, explain why AI visibility is moving toward creator-platform logic, and outline what to do about it before your competitors do. 

We've spent years optimizing for traditional SEO on a model built on three premises that went unquestioned largely because they worked.

The first premise: The user knows what they want before they search. That held up for transactional searches — someone looking to buy, book, or compare — but was always a weaker fit for exploratory searches, where the user is still figuring out what they actually want to know

The second premise: The answer lives in a single document.  You ranked, optimized, and built links to a page. The assumption was that knowledge got delivered in one place, by one source, to one visitor at a time. But now, AI synthesizes answers from fragments across multiple sources, and the unit of value is shifting toward a precise, verifiable claim a model can cite with confidence.

The third premise: The click was the satisfaction signal. But a click doesn't always mean satisfaction. You searched for something, the first result didn't answer it, so you clicked back and tried the next one, then the next. Now, the clicks themselves are disappearing. SparkToro's analysis of Similarweb clickstream data found that 68% of U.S. Google searches end without a click, up from 60% in 2024. 

In AI Mode, satisfaction is measured differently. By resolution within the session, through follow-up queries, refinements, and deeper exploration inside the platform. 

Creator platforms share one defining move. They keep the user inside. While traditional search sent people out to a destination, platforms like Instagram and TikTok are built to hold attention within their own walls. Large-scale traffic studies consistently show them driving a disproportionately small share of website referrals relative to their audience size. That retention is what Google is adopting, but to see what it's actually copying, you have to look at how these platforms hold users:

• Instagram holds users through an accumulated audience. The user arrives with intent, and they came to see what they chose to follow.
• TikTok holds users differently. TikTok's own documentation confirms Follower count isn't a direct ranking factor in the For You feed. The algorithm tests a piece of content with a small sample of users, amplifies it if they engage, and drops it if they don't.

The mechanic that matters here isn't distribution. It’ that the user arrives without a defined intent and lets the platform lead them through a continuous stream of content tuned to their engagement: a behavior I’d call guided discovery.

That is the pattern Google is borrowing.

When a user opens AI Mode and types an exploratory query, they're not looking for a link to click. They're starting a session. The platform responds, suggests follow-ups, deepens the topic, presents perspectives, and keeps the user within the Google ecosystem.

This guided experience works the same way creator content does, on two levels:

1. Within a single response, the way a video uses a hook, a build, a payoff to hold attention second to second. 
2. Between responses, the way a feed chains one piece of content to the next, except her it’s follow-up queries doing the chaining, deepening the topic without the user noticing.

The result is what I call the interest funnel — the AI Mode expression of the influence funnel described earlier. The responses generate interest. That interest may have been seeded by a creator's or brand's influence, and it may eventually end at that creator's or brand's website precisely because of that influence. The focus isn't immediate conversion. It's holding interest within the platform until the user is ready to act.

For SEO professionals, the consequence is uncomfortable. Optimizing for clicks when the user is being guided through the platform means optimizing for the wrong behavior. The goal is no longer to capture intent but to be part of the interest flow.

Google isn't just changing how it presents results. It's building the technical foundation to operate as a media platform. Three signals make it visible.

1. The first and most concrete signal is Google Creator Profiles. 
These public, followable, and indexable profiles pull together in one place the content a creator has published across different platforms: X, Instagram, LinkedIn, YouTube, and articles. For now, they display follower metrics and let users follow a creator directly within Google. Google's own tooling is catching up to this shift, too: Search Console recently added reporting for social and video platforms, giving publishers visibility into performance across the same surfaces these profiles pull from.

Barry Schwartz, editor of Search Engine Roundtable and one of the most influential voices in SEO worldwide, has more than 670k followers on his Google profile as of this writing. Any content creator can find their profile through third-party tools such as kgmid-gp.pojda.dev and rankit.fr. 

The unit of authority is migrating from the domain to the individual. It's no longer just rustybrick.com that Google recognizes as a trusted source. It's the creator, with their entire presence distributed across platforms, consolidated in a followable profile within Google itself.

2. The second signal is where Google sources grounding for its responses.
This means the verifiable material a model leans on to synthesize an answer. LinkedIn, Instagram, YouTube, and X are already being cited as sources in AI Overviews and AI Mode. Content published on social networks, without backlinks and no traditional Domain Authority, is being used to build an entity view of an individual from multiple platforms simultaneously.
 

In this example, AI Mode synthesizes Mikael Araújo’s perspectives on SEO from LinkedIn and other sources at once. Google isn't building that view from his website. It's assembling an entity view of who Mikael is, what he thinks, where he publishes, from signals distributed across multiple platforms. The website is just one of the sources, not the main one (as it was before we had other sources).

The same pattern appears in broader searches. A source with lower Domain Authority gets cited in the AI Overview, while more authoritative domains appear only in the organic results beneath. Google It chose the one that best answered the synthesized query.

3. The third signal is behavioral. 
AI Mode is turning search sessions into interest funnels, chains of related queries where the user deepens a topic without leaving the platform. Google's own data already shows follow-up queries are climbing more than 40% month over month in the U.S.  Independent analysis confirms the pattern: in a review of roughly 846,000 U.S. search sessions, Kevin Indig and Clickstream Solutions found that when an AI Overview is present, average SERP sessions run nearly four times longer, and the user's intent type no longer predicts how quickly they leave.

Together, these signals point in one direction: Google is building a platform where creators are indexable entities, social content has grounding value, and the session replaces the click as the unit of engagement.

If Google is adopting the logic of a media platform, content strategy needs to be rethought in two distinct layers. They are not separate channels, but complementary functions within the same interest funnel.

The first layer follows the logic of Instagram. Accumulated authority still matters here, but it's not Domain Authority.

It's the authority of the creator.

E-E-A-T has always been part of Google's documentation, but for years it was treated primarily as a page attribute that declared authorship, bio in the footer, and links to professional profiles. What's changing is that Google is beginning to treat individual authority as an entity signal, not just a page signal. 

This makes presence on platforms like LinkedIn, X, and YouTube more than content distribution — it's a way of building authority as an indexable entity.

The second layer follows the logic of TikTok. Accumulated authority doesn't guarantee visibility here. Precision does, at the moment the query is synthesized.

Dense, attributable, verifiable content can be cited in an AI Overview even when it comes from a source with a lower Domain Authority, as long as it answers the query better than more generic content from a larger source.

This flips the traditional logic of content production. It's no longer about covering a topic broadly. It's about answering a specific query better than any other available source, in a given context, at a specific point in time.

The link is becoming a bottom-of-funnel signal, not a top-of-funnel one, and this model is becoming increasingly relevant for SEO. Jono Alderson, writing from a CRO perspective, captures why: As AI systems commoditize the mechanics of conversion, the parts of the experience that survive are the ones that create meaning before the transaction, such as trust, reputation, and point of view. Websites, in his framing, shift from conversion machinery toward something closer to embassies for belief and reputation. That's the influence funnel described in different words. Differentiation moves upstream, to wherever preference is built before intent exists.

Every metaphor breaks down somewhere, and this one is no exception.

TikTokification captures the direction of change. From document retrieval to synthesis, from Domain Authority to creator authority, from declared intent to guided consumption. But it's a metaphor, not an equivalence. And treating it as one is a costly strategy mistake.

Four limits are worth keeping in view:

1. First, transactional searches still depend on links. 
   When a user already knows what they want to buy, hire, or book, the transactional SERP (with Shopping, the Local Pack, and ads) still sends them to websites. If your business runs mostly on clear purchase intent, TikTokification affects you less than this article might suggest.
2. Second, coverage is uneven. 
   AI Overviews don't appear on every query, and vary by language, country, and niche. Applying this framework fully in contexts where AI Overviews still have limited coverage may cost more effort than it returns.
3. Third, the timing is unsettled.  
   The Creator Profiles infrastructure exists, but Google hasn't publicly declared profiles a ranking factor in AI Overviews. It's prudent to invest on this front as a medium-term bet, not as an immediate guarantee of visibility.
4. Fourth, and easiest to ignore: Google won't literally become TikTok. 
   It still indexes the open web, still depends on publishers for grounding, and still monetizes through ads that lead to external sites.

The metaphor explains the emerging user behavior: more passive consumption, longer sessions within the platform, and creator authority gaining weight over Domain Authority. What it doesn't explain is the underlying economic structure, which still depends on an ecosystem of external content to function.

Use this metaphor as a compass, not a map. 

Frameworks only work if they're actionable. Here are the most concrete adjustments this model requires in practice.

Stop doing:

1. Stop treating Domain Authority as a proxy for visibility in AI search.

Domain Authority measures relevance passed through links. It's useful for understanding the link ecosystem, but it doesn't capture what Google weighs when it decides who to cite in an AI Overview.

This doesn't conflict with the Authority Layer described earlier. A creator can run a low-DA domain and still be highly citable if their presence across platforms is coherent and consistent. Confusing both is the most common mistake I see SEO professionals making today. 

2. Stop publishing content without clear and attributable authorship.

Content without an identifiable author is content without an entity. Google has no way to consolidate it into a creator profile, build a view of thematic authority, or confidently decide whether that source deserves grounding in a synthesized response. Every piece published without clear authorship is a missed opportunity to strengthen the creator's presence as an indexable entity.

3. Stop ignoring social distribution as a grounding signal.

Presence on LinkedIn, X, and YouTube goes beyond content distribution. It's building signals Google uses to synthesize responses and validate thematic authority. The value of social distribution in the current model isn't in the click but in the grounding.

Start doing:

1. Check the existence of your Creator Profile and the profiles within your organization.

Before anything else, check whether Google has already generated a profile for you or for the authors in your organization. Tools such as kgmid-gp.pojda.dev and rankit.fr let you run this verification. This is the most concrete and immediate step to connect your distributed presence to the entity Google is already building about you.

2. Produce dense, attributable, and verifiable content.

Relevance and intent still matter, but they're not enough. The content Google reaches for when grounding a response tends to be precise, verifiable, and clearly attributable to a specific source or perspective. Vague claims, generic content, and text produced without an authorial perspective have less chance of being cited, regardless of Domain Authority.

3. Expand your understanding of how you appear in the user journey.

You can't directly measure sessions within AI Overviews, but you can, and should, understand how you're present in the user journey within the platform. Google Search Console recently added performance reporting for generative AI experiences. Use it. Then, test queries relevant to your business in AI Mode, observe who gets cited, how often your brand or your authors appear, and what Google is synthesizing about you when someone searches your name or your area of expertise. This mapping is the starting point for any presence strategy in the new model.

For years, the central question in SEO was: how do I show up when someone searches for this?

That question still has value. But it's becoming insufficient.

SEOs who thrive in this new model won't be the ones who find the right keywords before competitors do. It'll be the ones who understand user needs before the user knows how to articulate them, and who build a presence so coherent and trustworthy that Google has no choice but to cite them as a reference.

Think less about capturing intent and more about anticipating need. Less about ranking and more about entity relevance. Less about traffic and more about influence. The best content creators already operate this way: they map where the user is in their journey, deliver what they need at the right moment, and eventually create new needs that only their product or service can resolve.