1/ Search is changing fast. The new question isn’t just “Who ranks on Google?” — it’s “Who does AI recommend?”
We just published GEO case studies showing how we’re helping clients improve AI visibility. 👇
The May 2026 core update is done. Google confirmed it finished rolling out today, June 2.
It started May 21 and took 12 days.
Here is what happened, who won, who lost, and what to do with it.
According to SISTRIX's analysis, 8,887 domains showed measurable movement: 5,039 winners and 3,845 losers.
Barry Schwartz called the May 30 weekend "super volatile" and described this as "a pretty significant Google core update."
The pattern is the same as March. Authority, expertise, and editorial credibility rewarded. Aggregators, intermediaries, and thin content pushed down. Here is what the data shows and what to do about it.
[If you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here (it's free):
https://t.co/Pn764BHwyL]
This update rolled out in two stages.
SISTRIX documented two distinct clusters of domain-level changes: the first appearing 1-2 days after launch, and a second, larger wave hitting around May 28-30. Some sites that gained in the first stage gave back part of those gains in the second. The update was self-correcting during rollout, which made the final days feel more volatile than the opening.
The same types of sites were rewarded again: editorial authority, expert attribution, content depth, and first-hand experience. The same types of sites were punished again: aggregators, intermediary platforms, thin comparison pages, and AI-generated content published without editorial oversight.
On the loser side, casinos and sensitive categories got hit. Sites where the content was mostly AI-generated have largely crashed. Generic financial data aggregators and specialist portals that host other people's content lost visibility. Legacy dictionary and reference sites declined while community-driven and user-focused reference platforms gained.
On the winner side, financial SaaS platforms gained. Health-related ecommerce gained. Education platforms gained. The winners share specific characteristics across both updates: they are first-party destination brands with deep content in defined subject areas, editorial authority from trusted sources, and direct relationships with their audience. Editorially-driven finance sites gained while generic financial data sites lost. Consumer health brands gained while specialist portals that primarily aggregate information lost.
(If you want to see how your authority signals compare to the brands that gained visibility in this update, start here (it's free):
https://t.co/Pn764BHwyL)
Here is what makes this update significant: two core updates in 43 days, both rewarding the exact same signals.
That is Google reinforcing a direction.
The brands with editorial authority and content depth gained in March and held or gained again in May. The brands without those signals lost in March and lost again in May. There is no recovery window if you have not built what Google is looking for.
And this update landed two days after Google I/O, where Google announced that AI Overviews now reach 2.5 billion monthly users and AI Mode passed one billion. According to Conductor's Q1 2026 benchmark, AI Overviews appear on roughly 25% of all Google searches.
The signals Google rewarded in this core update are the same signals AI Overviews and AI Mode use to decide who gets cited. The brands building editorial authority and content depth are getting rewarded by Google's core algorithm, staying stable during updates, and building AI citation visibility simultaneously. One investment, two outcomes.
The brands without those signals are getting hit in core updates and missing AI citations entirely.
So what should you do?
Build the content depth that makes your brand a primary authority in your category. The winning pattern across both 2026 core updates is clear: first-party destination brands with deep expertise in defined subject areas. Not intermediaries. Not aggregators. Not thin content repackaging other sources.
Invest in editorial authority from trusted publishers. Editorial backlinks signal to Google that your brand is a credible, primary source. That same signal stabilizes your rankings during core updates and makes your brand citable across AI Overviews and AI Mode.
Stop waiting for updates to finish before you act. The March update finished on April 8. The May update started on May 21. That is 43 days. The brands that built authority between updates are the ones that gained. The brands that froze are the ones that got hit twice.
This is the system SEO Stuff (https://t.co/wKpf0EILTx) was built around.
The done-for-you package:
https://t.co/yEFyM0Ze7W
Expert-attributed content backed by DR50+ backlinks: the authority signals Google rewarded in both the March and May 2026 core updates, and that AI Overviews cite when assembling recommendations for 2.5 billion monthly users
The content package:
https://t.co/4CAnUt07PO
60 pages of expert-attributed content that establishes your brand as a first-party authority in your category: the profile that gained visibility through both 2026 core updates
The authority package:
https://t.co/Z9m9D7TjES
Editorial authority from trusted publishers that stabilizes your rankings through back-to-back core updates and makes your brand citable across AI Overviews reaching 2.5 billion users
Two core updates in 43 days. Same signals rewarded both times. The brands with editorial authority and content depth gained through both. The brands without got hit twice.
If you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here (it's free):
https://t.co/Pn764BHwyL
Will be interesting to see how Google and others adjust based on the anti-AI sentiment that's growing quickly (especially with younger users) -> DuckDuckGo makes its ‘no-AI’ search engine easier to access as its traffic booms
"Once enabled, users will be directed to DuckDuckGo’s AI-free search page, where there are no AI-assisted answers, no chat prompts, and fewer AI images in the search results, the company claims. The extensions are currently available for Chrome and Firefox users. Meanwhile, people who have switched to the DuckDuckGo web browser already have their AI settings preserved, even if they clear their browser history."
https://t.co/q469q4YuXx
Google just accidentally revealed how its AI search systems actually work.
Now that none of it is a secret anymore, let’s talk about it.
With the new Google Search rolling out as we speak, it has never been more important to understand how to maximize value from this particular marketing channel.
(If you want to see where your site stands across Google and AI search, you can do so for free here:
https://t.co/Pn764BHwyL)
Let’s start from the beginning:
Metehan Yesilyurt, who previously went viral when he expertly analyzed Perplexity’s ranking factors, recently broke down Google AI ranking factors in a blog post.
It was fascinating.
And a lot of the leaked ranking factors validate what SEO Stuff has been doing all year to get customers more traffic and sales over the past year.
https://t.co/eh1auroJF7
Basically, as noted by Yesilyurt, by selling the underlying infrastructure through a product called Google Cloud Discovery Engine (Vertex AI Search), Google revealed a lot about how its AI systems work.
If you understand what Discovery Engine exposes, you understand how Google AI Mode, AI Overviews, and future AI search features are likely ranking and retrieving your content.
I’ll talk about the 7 ranking signals below, but I advise you to read the entire blog post I’m linking to because it goes into way more helpful technical detail:
Base Ranking:
The core algorithm’s initial relevance score.
Gecko Score (Embedding Similarity):
Vector similarity between your content and the query.
Semantic match.
Jetstream (Cross-Attention Relevance):
A more advanced model that understands negation, contrast, context, and nuance better than embeddings.
BM25 Keyword Matching:
Kind of self-explanatory. Yes, keyword matching still matters.
PCTR (Predicted Click-Through Rate):
A three-tier prediction model:
Tier 1: Popularity
Tier 2: PCTR
Tier 3: Personalized PCTR (unlocked only after 100,000+ queries)
Freshness:
Time-sensitive recency scoring.
Boost / Bury Rules:
Manual ranking adjustments based on business logic.
This is the most transparent look we’ve ever had into Google’s AI ranking pipeline.
Discovery Engine also exposes the retrieval pipeline:
Max chunk size: 500 tokens (approximately 375 words)
Optional: ancestor headings travel with each chunk
Tables and images get parsed
Layout parser plus Gemini-enhanced understanding (LLM-augmented indexing)
This means every important point needs to live inside a 500-token block with clean headings and clear structure.
If your content is one massive wall of text, you’re done.
Also, I hate to be the “I told you so” guy on this, but schema matters.
For some reason it has become controversial to say this on social media, but it was obvious and now it is confirmed.
Discovery Engine shows Google processes structured data with three separate flags:
Searchable (affects recall)
Indexable (affects filtering and ordering)
Retrievable (affects what the model can output)
These are independent.
Meaning:
A field can influence ranking without being visible, or be visible without influencing ranking.
A massive hint at how Google uses structured data for AI Mode.
Also, Google revealed the 4-stage AI search pipeline:
Prepare:
Query understanding, synonym mapping (time-aware), autocomplete, NLU.
Retrieve:
Chunking, layout parsing, schema extraction, embeddings.
Signal:
The 7 signals above.
Serve:
Gemini 2.5 Flash generates the final answer, applies instructions, safety filters, related questions, and grounding rules.
Traditional Search, AI Overviews, and AI Mode are simply different configurations of this same pipeline.
So what does all this mean?
Well, it means you must optimize for three layers at once:
Layer 1: Semantic similarity (Gecko)
Your content needs to clearly match the intent of the prompts you want.
Layer 2: Cross-attention relevance (Jetstream)
Jetstream rewards:
Clear definitions
Direct answers
Contrast statements
“X vs Y”
“Best for ___”
“Without ___”
Layer 3: Chunk-level clarity
Your content must be extractable in 500-token blocks with:
Question-based headings
Two to three sentence answers
TLDR summaries
Clean HTML
Factual claims
Lists and comparisons
This is exactly what AI systems quote.
And this is exactly why SEO Stuff (https://t.co/wKpf0EILTx) works so well in AI search.
The Discovery Engine findings validate the entire SEO Stuff approach from long before this documentation was public.
Let me break down the packages through the lens of Google’s architecture:
SEO Stuff Gold Plan:
https://t.co/yEFyM0Ze7W
10 long-form, comparison-based, extractable articles
Structured in 500-token blocks
Question H2s
Two to three sentence direct answers
TLDR blocks
FAQ schema plus product schema
3 DR50+ backlinks to strengthen entity signals
Gold Plan maps to:
Gecko (semantic match)
Jetstream (cross-attention relevance)
BM25 (keyword match)
Freshness
Entity trust (for Boost/Bury)
This is the fastest path to appearing in ChatGPT, Gemini, Perplexity, and Google AI Mode.
SEO Stuff Premium Content Bundle:
https://t.co/4CAnUt07PO
60 comparison-driven articles
Structured to match the exact pattern LLMs extract
Category-defining content
Builds topical coverage and entity clarity
Creates a deep corpus for Jetstream and embeddings
Premium Bundle maps to:
Retrieval depth
Structured chunking
Ancestor heading clarity
Embedding similarity
AI model grounding
This is how you train AI systems to associate your brand with your category.
SEO Stuff Premium Backlink Bundle:
https://t.co/Z9m9D7TjES
3 DR50+ backlinks from domains LLMs already trust
Reinforces brand consistency across the web
Boosts entity recognition
Backlinks help with:
Base ranking
PCTR (popularity and trust)
Boost/Bury eligibility
Entity clarity
This is why so many customers reorder.
It works.
Google is not hiding its AI search architecture.
They literally exposed:
The signals
The ranking layers
The chunk sizes
The parsing logic
The semantic models
The engagement tiers
The answer generation flow
The brands that understand this and structure their content accordingly will run through the next era of search like absolute beasts.
And SEO Stuff (https://t.co/wKpf0EILTx) was built specifically to map to this architecture.
If AI is replacing the first click, your content must replace the first impression.
#GoogleIO📷📷 #Google📷📷 #Gemini
ANTHROPIC IS TARGETING SEO CONTENT! 🚨
AND GOOGLE USES CHUNKS, MARKDOWN FILES AND EVEN LLMS.TXT IN IT'S OWN INTERNAL SYSTEMS!!! 👀
Meanwhile Google's own AI SEO guide tells you none of this even matters...
Anthropic literally wrote into Claude's system prompt that SEO content should be treated like conspiracy theories ⁉️
Full breakdown 👇
Google has introduced a new development: Google-Agent.
This is a user agent built specifically for AI agents that browse the web and perform tasks on behalf of users.
This represents a shift toward agent-driven search and introduces a new layer of optimization: Agent Search Optimization.
ASO builds on the same foundation SEO has always required but adds legibility for machines evaluating your brand on someone else's behalf.
Understanding where the web is heading – including emerging standards like WebMCP – is crucial for staying ahead of that curve.
https://t.co/LJDQhO0j8M.
There are flaws in their article.
If the content was already ranking as the source of truth schema wouldn’t add.
If they bolted in schema to pages that were poorly written and the schema wasn’t adding because of the old page not adding anything- schema won’t magically improve a shit page. Those pages probably weren’t adding any information gain.
They already said indirectly that it does matter when they quoted 53% of pages cited have schema - so there is correlation, maybe it’s just that people who write authoritative pages te y harder - but I think it’s more that schema is more of a world building excise that helps build EEAT in the fact it’s stringing together the parts of an entity to build infrastructure that is readily accessible, coherent.
Interested in Schema impact on AI citations? Here's the latest study from @ahrefs -> We Tracked 1,885 Pages Adding Schema. AI Citations Barely Moved
"We tracked 1,885 web pages that added JSON-LD schema between August 2025 and March 2026, matched them against 4,000 control pages, and measured citation changes across Google AI Overviews, AI Mode, and ChatGPT. Adding schema produced no major uplift in citations on any platform."
https://t.co/cinIs15p9M
Subliminize is built for a pretty specific niche:
private affirmation sessions on Windows.
Brief flashes at the core.
Optional binaural beats.
A calmer desktop ritual.
Microsoft Store:
https://t.co/xxmzZpg9nK
Site:
https://t.co/CdiPXkY4g1
Google just published a study about indirect prompt injection. Important for SEOs and site owners to understand -> Google Says Prompt Injection Moving From Theory Into Real Abuse
From @btabke:
"This is the AI-era cousin of hidden text, doorway tactics, comment spam, parasite content, and schema abuse. The new wrinkle is that the instruction is not only aimed at a ranking system. It is aimed at the language model or agent that reads the page after retrieval."
"Some SEOs will be tempted to test prompt instructions as an AI visibility tactic. That is a short road to a very ugly swamp. The behavior is easy to classify as manipulative because the intent is to override the AI system’s normal summarization or selection process." https://t.co/laUjG55JZy
I've been tracking a site that mass posted 5,000+ AI-generated pages last month.
(You probably saw a viral X article about it)
Traffic initially skyrocketed.
People thought it was a foolproof way to game SEO and 5x organic traffic in a month.
I knew better.
I'd seen this same core strategy run a dozen different ways.
And it always ended the same:
Traffic collapses.
This site is no different.
Organic traffic has dropped 80% in the last month.
Only question is whether the drop stops at the original traffic baseline or goes to zero.
You can't sustainably shortcut SEO.
Stop believing people who say you can.
They're going to get your site penalized.
Subliminize is a Windows desktop app for private affirmation sessions.
Brief affirmation flashes at the core.
Optional binaural beats.
New Focus Journeys for more structured calm sessions.
https://t.co/CdiPXkY4g1