What AI-SEO.news is
AI-SEO.news is a news site about search. We follow Google updates, AI search products, the tools SEO professionals use every day and the strategies that respond to all of it. We started publishing in November 2025, and everything we have published since then lives on our All News page, newest first.
The idea behind the site is simple. Within ten seconds of opening a story, you should know what changed, who it affects and what it means for your work. If a change matters to your traffic, your visibility or your budget, we want you to hear about it clearly and without having to dig through a long introduction first.
Why we started
For a long time, following search meant following one company and one results page. You watched for Google updates, checked your rankings and adjusted. That world has not disappeared, but it is no longer the whole picture. Answers now appear inside AI assistants, AI features sit on top of the classic results, and people ask questions in products that did not exist a few years ago.
The result is a lot more news, arriving from a lot more directions. A documentation change at an AI company can affect how your site gets crawled. A new feature in a reporting tool can change what you tell a client. A lawsuit can change how search data is collected. Each of these stories is easy to miss on its own, and it is even harder to see how they connect.
We built AI-SEO.news to put those stories in one place. Traditional SEO and AI search are not two separate beats for us. They are the same job now, so we cover them together.
Who we write for
Our readers work with search every day. They are SEO professionals, content marketers, publishers, in-house SEOs and agency owners. They already know the basics, so we do not spend their time explaining what a title tag is. What they need is an accurate account of what happened and a useful view on what to do next.
That shapes how we write. We keep stories as short as the news allows. A small product change gets a short piece, while a major update or an important study gets more room. When in doubt we go shorter, because a brief that respects your time is worth more than a long article padded to look important.
What we cover
Every story on the site sits in one of four categories.
Google Updates
Changes coming from Google itself. This includes core updates, spam updates and Discover updates, along with rollout dates, confirmations and what we can see once an update finishes. It also covers Google's own news for the search community, such as events and programs.
Tools
Changes to the tools that search work runs on. That means new features and reports in platforms like Search Console, Semrush and Ahrefs, as well as the business news that shapes those products, including acquisitions, integrations and rebrands.
Strategy
How-to pieces and guides. When the news settles, you still need to decide what to do with it. Strategy is where we answer practical questions, such as how AI SEO relates to traditional SEO and what the core parts of an AI search approach actually are.
AI Search
Changes specific to large language models and the products built on them. We follow ChatGPT, Gemini, Claude, Perplexity and AI features in search, including how they find and cite sources, how their crawlers work and how they are starting to make money.
The words we use
This part of the industry is still arguing about its vocabulary, so here is how we use the common terms.
- SEO (search engine optimization) is the work of earning visibility in search engines, mostly through technical quality, useful content and authority.
- AEO (answer engine optimization) focuses on being the source behind direct answers, whether in a search feature or an AI assistant.
- GEO (generative engine optimization) focuses on being surfaced and cited in answers written by generative AI.
- AI SEO is the umbrella term we use most often for optimizing for search in a world where AI systems sit between your content and your audience.
These terms overlap, and different people draw the lines differently. When a story depends on a precise definition, we explain what we mean in that story.
How we report
Search news moves quickly, and product names, rollout status and dates change often. So we check what we publish against current sources instead of relying on memory or on what another outlet wrote. We work through sources in a clear order.
- Official sources come first. That means platform blogs, documentation, status dashboards, help pages and changelogs, plus court filings or regulator documents when they matter to the story.
- Named official voices come next. When a platform representative says something in a post or a talk, we link to the original.
- Industry reporting comes third. Established outlets help us cross-check facts and follow reactions. If another outlet did the original reporting, we credit it.
- Data comes from the original study. When a vendor or researcher publishes numbers, we look for the study itself, not an article about it, and we consider how the data was collected.
We avoid aggregators, we do not treat forum threads as proof, and we do not repeat unsourced social posts as fact. A post from a known practitioner can be a useful lead, but we present it as a reported claim, and we say whose claim it is.
Confirmed, reported or unconfirmed
A lot of search news starts as a screenshot. Someone spots a test, the community reacts and within hours it reads like an established fact. We try to keep those stages apart, because you may make real decisions based on what you read here.
- Confirmed means the company involved has said so, on the record.
- Reported means credible people or outlets say it, but the company has not.
- Unconfirmed means it has been seen or claimed, and nobody can stand behind it yet.
When a story mixes these, we aim to make the difference obvious. If two good sources disagree, we tell you that instead of quietly picking one.
News and analysis are different things
Facts tell you what happened. Analysis is our reading of what it means, and that reading can be wrong. We keep the two apart so that you can tell which one you are reading. Headlines that carry the label Insights signal that the story includes our take on the news.
When we offer analysis, we try to take a position rather than hedge. We connect a story to what came before it, name what is still unknown and suggest concrete things to check in Search Console, your analytics or your AI visibility tracking. Just as often, the most useful advice is what not to change yet. Reacting to an update while it is still rolling out can do more harm than the update itself.
What we will not do
- We will not invent data, quotes or sources. If we cannot verify something, it does not go in as fact.
- We will not rewrite another outlet's story and call it ours. A story from elsewhere is a lead, and we go looking for the primary source behind it.
- We will not stretch an old development into something new just to have something to publish.
- We will not bury the news under a long introduction. The first lines of a story tell you what happened.
Corrections and updates
Search stories change after they are published. Rollouts finish, companies clarify their statements and early numbers get revised. When a story needs a meaningful update, we update it. Every article shows when it was published, in Central European Time, so you can place it in the timeline.
We also make mistakes. If you find an error, a broken link or a claim that needs a better source, please tell us. Send the link to the story and what you think is wrong, and we will review it and correct it if it needs correcting.
How to follow the site
The fastest way to keep up is the All News page, which lists every story by publish time. Use the filters at the top to stay inside a single category, or open the homepage to see the latest stories at a glance. Each story opens with the news itself, and longer pieces include a table of contents, so you can jump straight to the section you need. Wherever we can, we link to the sources behind a story, so you can check the original for yourself.
Who is behind the site
Stories on AI-SEO.news are published by the AI-SEO News Team. Our work is about search first, so what we care about most is whether a story is accurate, useful and clear for the people who rely on it.
Get in touch
We would like to hear from you. Tips, corrections, questions and suggestions for stories we should look at are all welcome. If you have spotted a test, a change in your data or a new feature in the wild, send it over with a screenshot and when you saw it.
You can reach us at aiseonews@gmail.com or through our contact page.