- Does this program really apply to me, or is it just for big newspapers?
- How exactly does Google's News AI program work?
- How many publishers have already joined and who are they?
- What changes in practice for those producing content in Italy?
- Three concrete scenarios: what changes for an Italian company?
- Why is everyone talking about this now: is the market really changing?
- What rules and risks should you keep an eye on?
- How to get started: the practical steps to prepare right now?
- What are the most common mistakes made at this stage?
- How to tell if the strategy is actually working?
- So, is it worth working on AI visibility for your company?
- How we see it at SHM
- Frequently Asked Questions
- Google has surpassed 400 publisher partners in the News AI pilot program, going from 9 at launch (December 2025) to over 400 in October 2026.
- The program pays publishers for delivering 'enriched' content used to develop AI features like summaries and audio briefings, with attribution and direct links.
- For Italian content-driven companies, joining or not joining these programs directly influences visibility in Google's AI responses.
- 56% of European companies already point to content ingestion by AI systems as the main challenge in the sector (IAB Europe, 2026).
From 9 publishers to over 400 in less than a year: Google's News AI program is reshaping who appears in AI-generated answers. If your company produces content, this is the game-changing news.
Does this program really apply to me, or is it just for big newspapers?
Google's News AI program already involves local outlets and small publishers, not just big international names. If your company publishes informative content—articles, guides, industry blogs—it's worth understanding how it works.
When Google launched the News AI pilot program in December 2025, there were 9 partners: names like The Guardian, El País, Der Spiegel, and The Washington Post. Major international outlets. It seemed like something far removed from Italy and SMEs.
As of October 2026, there are over 400 partners, and among the new ones are local American publishers like Oil City News and Texas Tribune. The signal is clear: the program is expanding toward smaller and more specialized entities.
For Italian companies that produce content—a manufacturing firm with a technical blog, a professional firm with a news section, an e-commerce site with buying guides—this is the time to figure out if and how to position yourself.
| Your situation | Does it affect you? | why |
|---|---|---|
| You publish articles, guides, or news regularly | Yes | You are potentially eligible for AI licensing or visibility programs |
| You have a company blog that is rarely updated | No, for now | You need consistency and editorial quality to be considered |
| Are you a publisher or digital media | Yes | You are the direct target of the News AI pilot program |
| You manage an e-commerce site with informational content | Yes | Valuable content can emerge in AI responses |
| Producing only promotional content or product pages | No, for now | AI favors informative content with clear attribution |
How exactly does Google's News AI program work?
Google pays partner publishers for the delivery and use of 'enhanced content' to develop new AI features. In exchange, publishers get clear attribution and direct links within the generated experiences.
The program is a licensing agreement: Google pays publishers to access their content and use it to build AI-powered features. It is not a classic advertising deal.
The resulting features include in-depth article summaries on publisher pages in Google News and customizable audio briefings for those who prefer to listen. Each experience includes clear attribution and direct links to the original source.
An important detail, pointed out by Nieman Lab : compensation is not proportional to the actual contribution of the content to the AI output. Publishers receive payment for the delivery of content, not for how much that content influences the generated responses. There is a separate program that instead remunerates publishers for content that appears in AI Overviews, AI Mode, and Gemini.
- 1 · Google Select partner publishers Identifies publications with quality content and invites them to the licensing program.
- 2 · Publisher / Company Provides enhanced content Delivers enriched content via API or direct agreement, with metadata and attribution.
- 3 · Google AI Develops features Uses content to create summaries, audio briefings, and other experiences on Google News.
- 4 · Reader Accesses content with attribution See the summary with a direct link to the original publisher, increasing referral traffic.
- 5 · Publisher / Company Receives compensation and visibility Receives a licensing payment and increased exposure in Google's AI experiences.
How many publishers have already joined and who are they?
In less than a year, the program has grown from 9 to over 400 partners worldwide, including both major international outlets and local, specialized publishers.
Growth has been rapid. Google has officially announced surpassing 400 partners in October 2026. New names include Axios, CNN, The Financial Times, and Forbes globally, as well as local outlets like the Post and Courier, Texas Tribune, and Shaw Media.
CNN has signed a multi-year licensing agreement with Google, announced on October 15, 2026 , specifically for the use of their content in Google's generative AI features.
The broader context is that of existing commercial agreements: according to the official Google blog , the company has struck deals with over 3,000 publications, platforms, and content providers in more than 50 countries over the last few years. The News AI program is part of this broader strategy.
| Publisher type | Examples | Size |
|---|---|---|
| International publications (launch) | The Guardian, El País, Der Spiegel, The Washington Post | Large |
| US digital media | Axios, Forbes, CNN | Large |
| Financial press | The Financial Times | Large |
| US local publishers | Oil City News, Texas Tribune, Post and Courier, Shaw Media | Small/Medium |
| Total current partners | Over 400 publications worldwide | — |
What changes in practice for those producing content in Italy?
Those who publish quality informative content now have an additional channel to stand out in Google's AI experiences. But a solid editorial structure is needed: having a blog is not enough.
The News AI program is not yet open to Italian companies directly. But the signal it sends is clear: Google is building an ecosystem where high-quality, well-structured content with clear attribution becomes the raw material for AI experiences.
This also applies to those who don't join the licensing program. Features like AI Overviews — the summaries that Google shows above search results — draw from public content. As we analyzed when talking about how Google auto-expands AI Overviews , content quality and structure directly influence who gets cited.
For a manufacturing company with a technical blog, a consulting firm with in-depth articles, or an e-commerce site with buying guides, the question isn't "should I join the program?" but "is my content structured to be understood and used by AI?"
| Company type | Current impact | Recommended action |
|---|---|---|
| Italian publisher or digital media | Potential future program partner | Monitor requirements and prepare for enrollment |
| Manufacturing company with a technical blog | Content can appear in AI Overviews | Structuring content with markup and clear attribution |
| Professional firm (legal, tax, consulting) | High relevance for informational queries | Produce in-depth and updated content regularly |
| E-commerce with buying guides | Visibility in AI responses on products and categories | Optimizing guides for AI conversational queries |
| Company without a content strategy | No visibility in AI experiences | Starting an editorial strategy before thinking about AI |
Three concrete scenarios: what changes for an Italian company?
Visibility in Google's AI experiences depends on the quality and structure of the content you publish. Here are three practical cases to understand what to do.
The numbers in the three scenarios below are illustrative: they serve to show the reasoning, they are not real client data.
| Scenario | Current situation | Opportunities | First step |
|---|---|---|---|
| Tax consulting firm | Blog with 20 articles, updated every 2 months | Queries like ‘how does electronic invoicing work’ can generate AI visibility | Increase publication frequency and add schema markup to articles |
| B2B mechanical engineering company | Site with product pages, no editorial content | Zero visibility in AI answers for technical industry queries | Start a technical blog with guides on production processes and regulations |
| Furniture e-commerce | Buying guides present but not structured for AI | Guides can appear in AI Overviews for queries like ‘how to choose a sofa’ | Rewrite guides with a question-and-answer structure and FAQ markup |
Why is everyone talking about this now: is the market really changing?
The adoption of AI in search and information habits is growing rapidly, and companies that don't adapt risk losing visibility in these new channels.
Data helps to understand the scale of the change. According to the Pew Research Center (June 2026) , almost half of American adults already use AI chatbots, and 13% use them to get news. A small share still, but growing rapidly.
In Italy, the artificial intelligence market reached 1.8 billion euros in 2025, with a +50% growth compared to the previous year, according to the AI Observatory of the Politecnico di Milano . 71% of large Italian companies have already started at least one AI project. Among SMEs, however, the percentage drops to 8%: a gap that will also be reflected in digital visibility.
The topic of AI visibility does not only concern those who produce news. As we explained by analyzing what changes for SEO without Google index , search engines are redefining the rules of who appears and who disappears.
What rules and risks should you keep an eye on?
Google's licensing program raises open questions about compensation, content control, and dependence on a single ecosystem. Knowing them helps you decide with more awareness.
The most delicate point, highlighted by Nieman Lab, is the compensation model. Publishers are paid for the delivery of content, not based on how much that content actually influences AI responses. This means that the real value of the agreement depends heavily on the negotiation and the specific terms.
A second risk concerns dependence on a closed ecosystem. Relying on Google as the sole AI distribution channel exposes you to unilateral changes in the program's rules. The most solid strategy is to optimize content for multiple AI platforms simultaneously — a logic we explored when talking about how ChatGPT cites primary sources .
56% of European companies, according to IAB Europe report 2026 , already points to the ingestion of content by AI systems as the main challenge for the sector. It is not a theoretical risk: it is a concrete concern for those who produce content today.
| Risk | Description | How to manage it |
|---|---|---|
| Compensation not proportional to value | The payment doesn't reflect the actual contribution of the content to AI | Negotiating clear terms and evaluating alternative programs |
| Dependence on a single ecosystem | Changes in Google rules impact overall visibility | Optimize for multiple AI platforms (Gemini, ChatGPT, Perplexity) |
| Loss of editorial control | Content is reprocessed by AI without direct supervision | Check licensing terms and attribution rights |
| Exclusion from the program | Not all publishers are selected or kept | Working on editorial quality as a basic requirement |
| Traffic cannibalization | AI summaries reduce direct clicks to the original article | Monitor referral traffic and CTR in Search Console |
How to get started: the practical steps to prepare right now?
You don't need to wait for a formal invitation from Google. There are concrete actions you can take today to improve your visibility in AI experiences, regardless of whether you join the program.
Preparation for the News AI program largely coincides with a good content strategy for AI in general. Those who work well on this front are better positioned both in the licensing program and in organic AI experiences like AI Overviews.
The issue of AI content quality is more urgent than it seems: as we analyzed in one third of the web written by AI , the overabundance of automatically generated content makes content with a recognizable human signature and an original perspective even more valuable.
- 1 · Content Manager Audit existing content Identify the articles with the most organic traffic and evaluate if they are structured to be understood by AI (explicit questions, direct answers, cited data).
- 2 · Technical / SEO Manager Add structured markup Implement schema markup (Article, FAQPage, HowTo) on main editorial pages. This helps Google understand and categorize content.
- 3 · Content Manager Structure new content for AI Use question-based titles, direct answers in the first paragraphs, and data with explicit sources. The format that works for AI also works for the human reader.
- 4 · Marketing team Monitor visibility in AI experiences Use Google Search Console to check if your content appears in AI Overviews. Track referral traffic from Google News.
- 5 · Executive / management Evaluate joining licensing programs If you are a publisher or digital media outlet, contact Google to check the requirements for the News AI pilot program. For content-driven companies, keep an eye on how the program evolves.
What are the most common mistakes made at this stage?
The main risk is waiting for the program to arrive in Italy without doing anything in the meantime. But there are also more subtle mistakes that compromise AI visibility already today.
The first mistake is confusing an online presence with AI visibility. Having a well-made site isn't enough: Google's AI reads content differently than a human user, and it prioritizes structure, clarity, and source attribution.
The second mistake is producing mass AI-generated content hoping to cover more queries. As we explained by analyzing how AI Overviews treat brands , Google is becoming increasingly capable of distinguishing content with an original perspective from automatically generated content without added value.
| Common mistake | Why it is a problem | What to do instead |
|---|---|---|
| Waiting for the program to arrive in Italy | Meanwhile, the competition is optimizing content for AI | Start right away with structured markup and quality content |
| Producing AI content in bulk without review | Google penalizes content without original added value | Use AI as support, not as a replacement for the human perspective |
| Ignoring referral traffic from Google News | It's unclear if content is already appearing in AI experiences | Monitoring Search Console and Google News Publisher Center |
| Optimizing only for Google and ignoring other AI engines | Perplexity, ChatGPT, and Gemini have different logics | Diversify your visibility strategy across multiple AI platforms |
| Not updating existing content | Outdated content loses relevance in AI responses | Plan periodic reviews of your most important articles |
How to tell if the strategy is actually working?
There are precise indicators to measure whether your content is appearing in Google's AI experiences. Monitoring them regularly allows you to adjust your strategy in time.
| Indicator | What it measures | Tool | Frequency |
|---|---|---|---|
| Impressions in AI Overviews | How many times your content appears in Google AI summaries | Google Search Console | Weekly |
| CTR from Google News | Click-through rate on your articles in News experiences | Google Search Console / Analytics | Weekly |
| Referral traffic from Google News | Visitors arriving from the Google News channel | Google Analytics 4 | Monthly |
| Ranking for informational queries | Ranking for questions and conversational queries in your industry | SEO tools (Semrush, Ahrefs) | Monthly |
| Citations in external AI responses | If your content is cited by ChatGPT, Perplexity, Gemini | Manual monitoring or dedicated tools | Monthly |
| Quality of AI-driven traffic | Dwell time and conversions of users arriving from AI | Google Analytics 4 | Monthly |
So, is it worth working on AI visibility for your company?
It is worth it if you have regular editorial output (at least 2-4 articles per month), operate in a sector with strong demand for information, and want to secure new visibility channels before your competitors.
A middle ground You have quality content but aren't updating it regularly. Start with an audit and review of existing content before investing in new production.
Not yet if you don't have a basic content strategy yet. Before thinking about AI, build a solid editorial presence: without that, no licensing program or AI optimization can help you.
How we see it at SHM
For us, Google's News AI program confirms something we've believed for a long time: AI is a means, not an end. The publishers and companies that are standing out in AI experiences aren't the ones that produced the most content overall, but those that invested in quality, structure, and original perspective.
We have worked on this front with industrial and B2B companies that had technical sites rich in know-how but not structured to be understood by search engines — let alone by AI. The work of auditing, restructuring, and optimizing existing content has always produced more lasting results than any shortcut.
The topic of AI visibility is at the heart of our work SEO for AI : we optimize content so it appears in answers from Google, ChatGPT, and Perplexity, with a strategy that starts from data and not trends. If you want to understand where your content stands today and what to do to improve, the starting point is an AI strategic analysis of your digital ecosystem.
For those who want to delve into the topic of AI visibility as a whole, our hub SEO and visibility for AI collects all the updates and practical guides we publish on this front.
Frequently Asked Questions
At the moment, the program is mainly active with international and American publishers, including some local ones. There are no official announcements regarding a direct opening to Italian publishers, but the trend is towards a progressive expansion. In the meantime, optimizing content for Google's AI experiences is useful regardless of joining the program.
Google has not made the specific financial terms of the agreements public. According to Nieman Lab, the compensation is tied to content delivery rather than the actual contribution to AI output. The terms likely vary based on the publisher's size and individual negotiation.
Yes. Features like AI Overviews draw from public content and don't require a licensing agreement. Structuring content with schema markup, answering specific questions, and keeping articles up to date increases the chances of appearing in organic AI answers.
These are two distinct programs. The News AI pilot is a licensing agreement that pays publishers for the delivery of content used to develop specific features on Google News. The program for AI Overviews, AI Mode, and Gemini instead remunerates publishers for content that appears directly in the search engine's AI responses.
It depends on how you use them. AI-generated content without human review and without an original perspective tends to be penalized by Google. Using AI to support editorial production—research, drafts, structure—and then adding human value is the most effective and sustainable strategy.
Google Search Console is the starting point: it shows impressions and clicks from AI Overviews results. For a more direct check, you can manually test the most relevant queries for your industry on Google and see if your content is cited in AI summaries. SEO tools like Semrush or Ahrefs offer features dedicated to monitoring AI visibility.
AI visibility cannot be bought with a licensing agreement: it is earned with content that deserves to be cited.
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