Personal Intelligence, Personal Search

For years, SEO has been a game of visibility.

Rank for more keywords. Win more clicks. Outperform competitors page by page.

That's what I was taught when I cut my teeth.

And for a long time, that model worked because the search engine was broadly the same for everyone. Even when results varied by location or device, there was still a shared reality you could compete inside.

A trackableideaof “position”, a benchmark of "success".

Google’s shift towards Personal Intelligence is one of the clearest signals yet that we have entered a different era.

Not “AI search” as a new interface. Personal Search as the new operating system. In that world, position tracking inside LLMs starts to feel like measuring the wrong thing entirely.

Because the result is not just personalised. It is contextual, habit-based, and shaped by lived experiences of users collecting fragments of their experiences digitally and storing them.

This is not “find me an article on the topic.” It is “help me solve my actual problem, based on my actual history.”

The differentiator is contextual reasoning. Gemini is not just searching for a keyword, it is taking signals from multiple sources, combining them, and producing an outcome.

• You ask:“Plan my weekend.”It might recognise you went to a National Trust house last weekend, and you tend to book Italian restaurants, then build an itinerary that fits your habits and preferences.
• You ask:“Find the tyre size for my car and tell me when I can book in at the garage.”It can look for a photo of your car in Photos, find a manual or reference, extract the tyre size, then check Calendar for a time window.

That is the point. Search is no longer just discovery, it is increasingly decision support, planning, and action. I personally find myself moving further away from traditional Search and using Lens, Voice, or Perplexity more for personal discovery.

Organic Search is now multimodal, multitouch, and multiplatform

The biggest mistake brands can make right now is treating “search” as if it is still a single channel.

Search now happens across:

• Text
• Voice
• Images
• Video
• Transcripts
• Maps
• Shopping Feeds (a la UCP/ACP)
• Agents
• Social

This can all happen in one journey, and none of it looks like the traditional user journey we assumed and relied on, that looked like:

QUERY → SERP → CLICK → WEBSITE

This is where Personal Intelligence fits perfectly.

It is not just answering a question. It is stitching together the journey.

“Position tracking” assumes a shared reality that no longer exists

Traditional search created a shared experience. Not identical, but stable enough.

You could ask:

“What is the best hotel in Barcelona?”

(My preference, especially for International Search Summit is Casa Lit - not that you asked.)

And yes, results would vary depending on personalisation bubbles, where the search originated from, but the landscape was still recognisable.

Now the output is increasingly influenced by:

• What you already know
• What you have already done
• What you have booked before
• What your preferences look like
• Which brands you have interacted with
• Which brands you trust
• Which brands you return to without thinking

In a Personal Intelligence environment, rankings do not disappear -- they just become one of many inputs.

Most likelynot even the dominant input.

Because the system is trying to answeryou, not the internet.

This leads to the question of what exactly is a “position” in an AI answer when the answer is shaped by memory, habits, history, and personal context? Is it worth trying to track position in LLMs? Or monitoring a wider, more ambiguous visibility with positive touchpoints becoming a factor.

The long tail is now the infinite tail ∞

SEO used to be a game of long tail demand. You create content for thousands of queries. You capture intent. You grow visibility.

But the modern reality is bigger than long tail.

It is what I’d call theinfinite tail.

Because AI does not just return answers to existing searches.

It creates new searches.

Not always as typed queries, but as follow-up questions, clarifications, refinements, comparisons, and personalised decision paths.

• Users no longer searches once and stops.
• Users explore.
• Users iterate.
• Users ask the system to reshape the problem, not just answer it.

That means demand is no longer limited to the set of keywords you can map in a tool.

It is a constantly expanding universe of:

• Micro-intents
• Personal constraints
• Changing preferences
• Situational needs
• “help me decide”
• “based on what you know about me”

The search space becomes infinite, because the user’s context is infinite, and Personal Intelligence turns that into a product.

SEO is turning (more) into customer and retention marketing

This is the shift that makes many SEO strategies feel outdated overnight.

Search used to be a fight for acquisition, now it is becoming a fight forpreference.

Not just "do we rank,” but “do we remain the default choice.” Because when AI systems generate answers, they will lean into brands that are:

• Familiar
• Frusted
• Repeatedly chosen
• Consistently interacted with
• Part of someone’s routines
• Part of someone’s memories

This moves organic search into the territory of:

• Customer marketing
• Retention marketing
• Loyalty and repeat usage
• Community
• Experience design
• Brand habit formation

That is why tactics that used to sit outside “SEO” now matter more than ever.

• Encouraging newsletter signups.
• Getting people to save and share content.
• Giving people reasons to return.
• Even giving people experiences worth photographing on location.

Because they feed the system signals of preference, familiarity, and usefulness.

Experiences are becoming the new backlinks

Links are still valuable, but they are no longer the whole story. In the old world, the web was the proof system.

A link was a citation. A mention was a vote. A ranking was a reward. In the personal search world, experiences become the proof.

The brands that win are the ones that generate moments people keep coming back to, and signals that AI can use as a reliable shortcut.

This includes newsletter signups, repeat purchases, account creations, app installs, wishlists, bookings, calendar invites...

But it also includes softer, human signals like:

• Taking photos on location
• Sharing experiences with friends
• Returning without searching again
• Choosing you by default
• Trusting you when the decision gets complex

This is why SEO is moving from “optimise pages” to “optimise relationships”, using our SEO skill sets and understanding of information retrieval to create the right foundations for visibility.

Search Engines exist, but the engine is become more personal

We are watching “Search Engine” transform into something closer to a “Personal Decision Engine.” It is still search, but it is no longer a neutral list of websites. Once agentic behaviours sit on top of that, it becomes even more direct.

SEO started as visibility engineering. It is becoming preference engineering.

Google's Personal Intelligence

https://blog.google/innovation-and-ai/products/gemini-app/personal-intelligence/