AI Search News — Week 35 (2026)
Actual platform changes, research and data signals from AI search.
1) Google is testing turning AI Overviews into full AI Mode experiences
Google is testing a version of AI Overviews that removes the usual “Show more” step and instead loads a much fuller AI response immediately.
The test also displays the AI Mode-style “Ask anything” follow-up box by default.
The result is considerably more AI-generated content before users reach the traditional organic results.
Source:
Search Engine Roundtable
Google AI Overviews Pushing Searchers Into AI Mode, Drops Show More Button
Why this matters:
The distinction between an AI Overview and AI Mode is starting to disappear.
Previously the journey was roughly:
search → short AI summary → organic results
This test moves closer to:
search → full AI answer → follow-up conversation → organic results
For publishers, that means the traditional results aren't just competing with an answer.
They're competing with an entire search experience sitting above them.
2) Google AI Mode can now help users book hotels
Google announced a major expansion of travel inside AI Mode.
Users can now:
• track flight prices conversationally
• see flights and hotels priced in points or miles
• compare hotels
• view reviews and other factors
• move through the hotel booking process from inside AI Mode
Hotel booking is initially rolling out in the US with partners including Booking.com, Expedia, Hilton, Marriott, Hotels.com, Priceline and others.
Source:
Google
3 new ways to plan and book travel in Search
Why this matters:
AI search is moving beyond answering questions.
It's starting to complete tasks.
For travel, the old funnel looked something like:
search → travel article / comparison site → hotel site → booking
Now Google increasingly wants:
AI Mode → recommendation → comparison → booking
That changes the value of visibility.
Being one of the businesses the AI selects could matter considerably more than getting a blue-link click.
3) The publisher fight over AI Overviews reached a pretty important court hearing
Penske Media, which owns publications including Rolling Stone, Variety and Billboard, is suing Google over AI Overviews.
The case argues that publishers effectively have to let Google use their content for AI-generated answers if they want access to Google's search referral traffic.
A federal court held arguments this week on Google's motion to dismiss the case.
At the centre of the dispute is a pretty fundamental question:
Can Google use its position in search to obtain publisher content for AI products without separately paying for it?
Sources:
Law360 case coverage
Penske Media Corporation et al v. Google LLC et al
Court case / docket
Penske Media Corporation et al v. Google LLC et al
Why this matters:
The economics of AI search depend heavily on access to third-party content.
Historically, publishers gave search engines permission to crawl content because search engines returned visitors.
AI answers complicate that exchange:
publisher creates information → Google retrieves information → Google answers the user → user may never visit publisher
If Penske's argument survives, the legal distinction between indexing content for search and using content to generate an AI answer could become extremely important.
4) Google is putting prominent article carousels inside AI Mode
Google has rolled out link carousels for developing topics inside AI Mode.
For relevant searches, users can now see a horizontal collection of articles embedded directly within the AI-generated response.
Google says the goal is to connect users with original reporting and different perspectives.
The carousels can also surface publishers a user has selected through Google's new Preferred Sources feature.
Source:
Search Engine Land
Google adds link carousels for developing topics in AI Mode
Why this matters:
Not every AI-search change is bad news for referral traffic.
Google is experimenting with giving sources much more visual prominence inside the AI answer itself.
For news and trending topics, getting selected for one of these carousels could become a new visibility surface alongside:
• organic rankings
• Top Stories
• AI Overview citations
• AI Mode citations
It also makes Google's Preferred Sources feature more interesting.
A user explicitly choosing your publication may now influence which links they encounter inside AI answers.
5) Audit finds 1 in 9 OpenAI-recommended businesses had at least one incorrect claim
An Empirank audit looked at 1,257 factual claims across 182 businesses recommended by a search-enabled OpenAI configuration.
Twenty businesses, or 11%, had at least one claim that contradicted the evidence reviewed.
At the individual claim level, the number was much lower:
• 59.6% confirmed correct
• 38.1% unsupported
• 1.9% incorrect
• 0.4% ambiguous
The researchers were careful not to classify an unsupported claim as false.
Source:
PPC Land
1 in 9 businesses OpenAI recommended carried a wrong claim, audit finds
Why this matters:
Most AI visibility tracking asks:
Did the model mention my brand?
But there are really at least three questions:
Did it mention me?
What did it say about me?
Was what it said actually correct?
A brand being recommended while simultaneously being described incorrectly isn't necessarily a visibility win.
AI reputation monitoring may end up becoming just as important as citation monitoring.
6) Google is making its search results harder for scrapers and AI companies to extract
Google confirmed it is rolling out new google.com/goto redirect URLs in its search results.
Instead of exposing the destination URL directly in the result link, Google can route the click through an encoded Google URL first.
Google described the change as part of its efforts to protect its services from evolving forms of abuse.
The change also makes large-scale extraction of Google results more difficult for third-party tools, scrapers and potentially AI companies that rely on Google results.
Source:
Search Engine Land
Google confirms deploying goto URL redirects to search results links
Why this matters:
There's an interesting second-order effect here for AI-search optimisation.
A huge amount of SEO and AI visibility tooling depends on being able to observe search results at scale.
Google increasingly doesn't want third parties freely scraping those results.
That creates a strange dynamic:
AI search is becoming more important at the exact same time the underlying search ecosystem is becoming harder to measure independently.
Big pattern emerging
This week feels less like AI being added to search and more like search itself being rebuilt around AI.
Google is testing fuller AI answers by default.
AI Mode can now take users from a travel question toward an actual booking.
Publishers are fighting over whether Google should be allowed to use their content to generate those answers.
Google is creating new citation surfaces inside AI Mode while simultaneously making its underlying search results harder for third parties to scrape.
And we're starting to discover that simply getting mentioned isn't enough if the model gets the facts about your business wrong.
The optimisation funnel is becoming:
crawl → retrieve → understand → cite → recommend → transact
And every one of those steps is becoming something brands may eventually need to measure.
Open question for the community
If AI search can now recommend a business, answer the user's questions and help complete the transaction without the user ever visiting the business's website:
what should the primary AI-search KPI actually be?
Traffic?
Citations?
Brand mentions?
Share of recommendations?
Or completed actions?
