u/SERanking_news

Feels like just yesterday everyone was scrambling for AI citations, and now we're already competing for real estate inside the OS itself. A lot to keep up with—our team's here to help you stay ahead of every shift:

• AI Content Strategies That Backfire

Lily Ray dropped the results of research, which backs up several of our findings while adding some fascinating nuances. Specifically, she looks at how different types of posts actually "perform" in search and what that means for AI-content enthusiasts.

In our digest, we’re only scratching the surface of this massive article. It’s packed with incredible insights, but there’s one specific section you can’t afford to miss. It serves as a major red flag for content creators, highlighting exactly where you need to watch your step:

“Eight Recurring Content Patterns that Are Risky for SEO and AI Search

1. Comparison pages at scale.
2. The “What is X” glossary.
3. The “Best [X] for [Y]” listicle.
4. The self-promotional listicle.
5. The competitor-vs-alternatives page.
6. Programmatic location and language scaling.
7. The FAQ farm.
8. Off-topic content published at scale.”

Source:

Lily Ray | Substack

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• Adding Schema Did Not Improve AI Citations

Barry Schwartz recently highlighted a fresh study from Ahrefs that effectively shuts down the theory that structured data is a "cheat code" for AI citations. Despite the SEO chatter, the data shows that adding schema (specifically JSON-LD) doesn't actually help you land more spots in AI-generated answers.

Ahrefs tracked 1,885 pages that implemented the schema between August 2025 and March 2026, comparing them against 4,000 control pages. The results? "No major uplift in citations on any platform," according to the report. Whether it was ChatGPT, Google’s AI Mode, or AI Overviews, schema didn't move the needle in a meaningful way.

Google AI Overviews: Actually saw a 4.6% decline in citations for pages with schema—a small but statistically significant drop.

ChatGPT & AI Mode: While treated pages technically performed slightly better, Ahrefs dismissed the gain as "random noise" rather than a result of the schema itself.

So, if you’re adding schema solely to "rank" in AI results, you might be wasting your time.

Sources:

Barry Schwartz | Search Engine Roundtable

Louise Linehan, Xibeijia Guan | Ahrefs Blog

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• Googlebook: The Evolution from Search to "OS as AI Agent"

If you thought adapting to AI Overviews was the final boss, think again. Google just unveiled Googlebook—a new category of laptops where Gemini isn't just integrated into the browser, but baked directly into the "DNA" of the device.

For SEOs and content creators, this is a clear signal that the playground is expanding once again.

We’re used to optimizing for search engines. Recently, we started learning how to land AI citations in chatbots. Now, a new challenge is on the horizon: Device Ecosystem Optimization.

Magic Pointer & Contextual Awareness: The new Magic Pointer feature allows Gemini to "see" whatever the user points to on their screen and suggest immediate actions. If a user hovers over your product review, the AI could instantly pull specs or pricing without the user ever clicking through to your full article.

Prompt-to-Widget: Users can now generate custom widgets via prompts. This means your content (whether it’s event schedules, pricing guides, or "top 10" lists) needs to be structured so perfectly that the AI can "snatch" it from your site and pin it to a user’s desktop as a dynamic widget.

The New Challenge: Optimizing "For the Cursor"

We are entering an era where AI acts as the ultimate intermediary between content and the user at the operating system level.

Probably soon we won’t just be debating how to "rank #1." We’ll be strategizing on how to make sure Gemini picks your content to build a personalized AI widget on a customer’s laptop.

So, focus on entities… AI devices work with objects (dates, locations, prices, brands). The more clearly you define these entities in your content, the easier it is for the Magic Pointer to identify and surface them.

Source:

Alexander Kuscher | Google Blog

Hey everyone! In case you've been missing your regular dose of updates, we’ve curated a fresh roundup of the most impactful news from the SEO and AI world:

SERP features / Interface

• Preferred Sources is now available globally in all supported languages

Google has expanded Preferred Sources to all supported languages worldwide. The feature lets users choose which publishers and outlets they want to see more often in Top Stories and From your sources for relevant news queries.

• (test) Google’s “Ask anything” box in AI Overviews may now stay visible while users scroll

Anthony Higman published that Google is testing a version of AI Overviews where the “Ask anything” box stays pinned near the bottom of the screen as users scroll through the overview and the rest of the results page. That keeps the prompt into AI Mode visible throughout more of the search journey.

Source:
Google Search Console > Documentation 
Anthony Higman | X
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AI

• Gemini in Chrome rolls out globally, opening a much wider path to adoption

Gemini integrated into Chrome is now rolling out to users worldwide, giving Google a much bigger distribution channel for its AI assistant. Natalia Witczyk said that the new “Ask Gemini” entry point could encourage more people to try Gemini directly in the browser—including users who have not yet adopted generative AI tools.

Source:
Natalia Witczyk | LinkedIn
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Documentation

• Google starts sending Search Console warnings over back button hijacking

Glenn Gabe said that Google is now sending Search Console email warnings to sites that may be violating its new back button hijacking spam policy. The notices say no manual action has been taken yet, but site owners should fix the issue before enforcement begins on June 15, 2026.

Source:
Glenn Gabe | X
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Local SEO

• Google now shows how many reviews were deleted from some Business Profiles

According to Benjamin Szturmaj, some Business Profiles now display how many reviews were removed due to defamation complaints. Experts say this appears to be live in Germany only for now, likely because of the country’s stricter legal environment around review removals.

Source:
Benjamin Szturmaj | X
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Tidbits

• Bing Webmaster Tools previews new AI reporting features

Microsoft previewed several new AI reporting features that are expected to come to Bing Webmaster Tools soon. 

According to Barry Schwartz’s recap of the demo, the upcoming additions include citation share, grounding query intent, semantic topic labels, and GEO-focused recommendations.

Source:
Barry Schwartz | Search Engine Roundtable

Hey guys! Our team rounded up the most interesting news for you—check out our latest digest:

Search / SEO

• Google says “commodity content” is not enough

At Google Search Central Live in Toronto, Danny Sullivan said publishers should focus on unique, specific, and authentic content rather than “commodity content.” 

He described commodity content as generic material that is easy to replicate, while stronger content brings original viewpoints, real examples, and first-hand expertise.

• Google was hiring for a GEO Partner Manager role

A now-removed Google job listing pointed to a GEO Partner Manager role focused on moving Google’s engagement model from Generative Engine Optimization discovery toward more formal ecosystem advocacy. 

The description also said the person would manage relationships with GEO players, treat them as an influencer channel, and help shape the ecosystem to prioritize Google surfaces. 

The listing is no longer live.

Source:
Gagan Ghotra | X 
Barry Schwartz | Search Engine Roundtable 
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SERP features / Interface

• Google shares best practices for “read more” snippet links in Search

Google has published best practices for the “read more” deep links that can appear in search snippets. 

To improve the chances of getting them, Google says content should be immediately visible on the page, pages should not force the scroll position on load, and sites should not remove the URL hash fragment if they modify it on page load.

Source:
Barry Schwartz | Search Engine Roundtable 
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AI

• Claude expands connectors beyond work apps into everyday services

Anthropic is expanding Claude’s connector ecosystem beyond workplace tools into everyday apps. New connectors now include services like AllTrails, Audible, Booking [dot] com, Instacart, Resy, Spotify, Tripadvisor, Uber, and Uber Eats, with more on the way.

Source:
Claude Blog
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Documentation

• Google warns against including personally identifying information in spam reports

Google has updated its spam report guidance to warn users not to include personally identifying information in the open text field. That matters because if a manual action is issued, Google may share the report text verbatim with the affected site owner. 

Source:
Glenn Gabe | X
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Local SEO

• Local review replies may now be moderated more aggressively

Michel van Luijtelaar is noticing that replies to Google reviews are being removed or blocked more often, even when the responses do not appear obviously problematic. Google has not announced a formal policy update.

• (test) Business Profiles may now let users edit videos inside the Google app

Darren Shaw noticed that some Business Profiles now appear to offer built-in video editing directly inside the Google app when uploading videos to Google Maps and Search. 

Source:
Michel van Luijtelaar | LinkedIn
Darren Shaw | LinkedIn
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Tidbits

• (test) Bing is making links in Copilot Search results less clickable

Microsoft Bing is testing a change in Copilot Search where only the small citation marker at the end of a line is clickable, instead of the full line of linked text. 

If this expands, it could make citations less noticeable and add more friction before users reach source sites. 

• Microsoft adds UCP support for product feeds in Merchant Center

Microsoft has introduced support for UCP-ready feeds in Microsoft Merchant Center for businesses in the U.S. The update is designed to make product catalogs easier for AI agents to read and use, helping merchants surface more accurate, structured product data in Copilot shopping experiences.

Source:
Sachin Patel | X
Tim Frank | Microsoft blog

Navigating today’s complex digital ecosystem isn't easy, so our team is breaking down the critical shifts to ensure we all grow together in this new generation of search.

• Google wants non-commodity content — and just gave you the checklist

At Google Search Central Live Canada 2026 in Toronto, Danny Sullivan walked through what "unique, authentic and non-commodity content" actually means. Three traits define it: 

• Unique (a viewpoint or data others can't easily replicate) 
• Specific (a real case, not general rules)
• Authentic (first-hand knowledge or expertise)

 

His examples were concrete: not “Top 10 Running Shoe Tips” but a wear-pattern breakdown of one customer's shoes after 400 miles. Not “7 Tips for First-Time Homebuyers” but the exact bidding war you won last week and why you waived the sewer scope.

What marketing and SEO agencies can pick up and run with:

• Rebuild the content brief around three mandatory fields — what specific case sits behind this piece, who has first-hand experience with it, what original data you bring.
• Interview the client's own people (technicians, sales, support) for 30–45 minutes monthly. That's where non-commodity raw material actually lives.
• Retire "Top 10" on autopilot. If a GPT prompt can assemble it, so can everyone else.
• Rewrite editorial KPIs from word count and top-10 placements to share of content with first-hand data, and share of content cited by LLMs.
• Repackage the offering — fewer pieces, higher production value (video, case breakdowns, expert interviews). Wins on both LLM visibility and organic in 2026.

Sullivan's three traits double as a GEO/AEO checklist: LLMs are increasingly filtering out sameness, and this is the shape of content they're trained to surface.

Sources: 

Jean-Christophe Chouinard | JC Chouinard

Barry Schwartz | SE Roundtable

Glenn Gabe | X 

Gagan Ghotra |: X

Martha van Berkel | X  

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• Google's Liz Reid on who owns search in the age of AI

On April 23, Liz Reid, VP & Head of Google Search, joined Bloomberg's Odd Lots podcast with Joe Weisenthal and Tracy Alloway for a 55-minute conversation titled “Who Will Own Search in a World of AI.” 

Liz Reid, pushed back on the “AI vs web” framing: “There's this sort of myth that people want AI or the web… what we see is that people want AI on the web together.” AI Overviews handle quick answers, clicks still go to the open web when users want a specific voice, and commercial intent doesn't disappear — “the answer doesn't buy the pair of shoes.” 

She confirmed AI Overviews are producing “meaningfully longer queries” and "more natural language queries,” mapped the split between Search, AI Mode, and the Gemini app, and defined Google's real success metric as whether users “hire” Google for new questions they wouldn't otherwise ask. On spam: “There has always been slop on the web. What really matters is… is there great content on the web and can you surface it?”

What agencies can pick up:

• Audit which Google surface each client competes on — informational → Search/AI Mode, complex multi-turn → AI Mode, productivity/creative → Gemini. Different surfaces need different signals.
• Shift keyword research to full-sentence intent. Harvest real questions from sales calls, support chats, and Reddit — those are your new ranking targets, not 2–3 word head terms.
• Position content as a fact-check layer. Users verify LLM outputs in Google, primary-source content with original data wins this role.
• Stop defending AI-assisted content. Reid said Google doesn't separate AI-generated and human-generated slop — both go through the same quality filter. The debate is about output quality, not workflow.

*Pair this with Sullivan's Toronto talk. Sullivan gave the what (unique, specific, authentic). Reid gave the why and where. One combined brief for 2026 content strategy.

Source: 

Elizabeth Reid, Joe Weisenthal, Tracy Alloway | Bloomberg

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• Live SEO Dashboards in Claude: A New Level of Analytics

SEO Expert Anastasia Kotsiubynska shared an insightful case study on her LinkedIn page, based on MCP by Suganthan Mohanadasan, regarding the use of Claude AI as a powerful analytical hub. Now, SEO data can be more than just analyzed — it can be transformed into interactive dashboards in real-time.

How it works and why it matters:

By utilizing Model Context Protocol, Claude gains the ability to interact directly with external data. This allows for the creation of “live” reports that previously required complex setups in Looker Studio or other BI tools.

Key capabilities highlighted by the experts from disscussion:

• Direct Connection to Google Search Console: Instantly visualize clicks, impressions, and CTR without manual table exports.
• Interactive SERP Tracking: Monitor website rankings and performance dynamics directly within the chat interface.
• Automated Reporting: Claude builds charts that highlight anomalies or successful patterns in your promotion strategy.

The New Agency Standard: This approach is rapidly becoming the new gold standard for marketing and SEO agencies. By moving away from static PDF reports toward dynamic, AI-driven environments, agencies can offer clients unprecedented transparency and real-time insights, significantly increasing operational efficiency and speed of decision-making.

This case demonstrates the shift from “AI as a copywriter” to “AI as an operating system for marketing,” where all key project metrics are accessible in a single interface through the right combination of tools and protocols.

Source:

Anastasia Kotsiubynska, Suganthan Mohanadasan | LinkedIn