AI search has a visibility problem that most businesses cannot see.

People Inc. CEO Neil Vogel has accused Google of abusing its market power by using the same crawler for both traditional search and AI. His argument is that publishers are being pushed into an impossible position. They may want to stop their content being used inside AI systems, but they cannot realistically block Google if search traffic still drives advertising revenue, affiliate income and audience growth.

That turns AI crawling from a technical setting into a commercial power issue.

Google says publishers can use Google-Extended to stop their content being used for Gemini model training without affecting traditional search. It is also testing ways for publishers to opt out of appearing in, or helping ground, AI search features.

But for business owners, the bigger lesson goes beyond one publisher dispute.

AI visibility now starts with access. If search engines, AI assistants and answer engines cannot crawl your website, they cannot understand your business, cite your content or recommend you when a buyer asks for help.

For large publishers, this is becoming a fight over licensing, control and who gets paid when content powers AI answers. People Inc. already has AI licensing deals with Meta, OpenAI and Microsoft, which shows how valuable trusted content has become in the AI economy.

For SMEs, the risk may be much more basic.

Many businesses do not actually know whether AI crawlers can access their website. They may be using shared hosting, old technical settings or default bot-blocking rules that made sense before AI search became part of the buyer journey.

In the old search world, blocking bots often seemed sensible. Businesses wanted to stop spam, scraping and unnecessary pressure on their website. But in the AI search world, blocking every crawler can also block the systems that decide whether your business gets found, cited and recommended.

That is why robots.txt now matters. Robots.txt is a file on your website that tells crawlers what they can and cannot access. In simple terms, it helps decide which bots are allowed to read your website and which ones are blocked.

The first-mover move is not to open the door to everything blindly. It is to check your website properly. Where is your website hosted? Are you on a shared server? Are important crawlers being blocked? Does your robots.txt file allow the right search and AI systems while keeping harmful bots out?

This is where AI visibility becomes more than content strategy.

It is also website infrastructure, crawler access, brand discoverability and technical readiness. A business can have useful content, strong services and real expertise, but if AI systems cannot access or understand that information, it may never enter the answer layer.

The next phase of search will not only reward businesses with better content.

It will reward businesses that are accessible, clear, trusted and technically ready to be found by AI.

The Briefing: What Else You Need to Know

AI Search Is Becoming a Brand Coherence Test

Digiday reported that AI search conversations at Cannes Lions were less about SEO tricks and more about brand coherence.

AI systems now pull signals from SEO, PR, product pages, reviews, social content and third-party mentions. If your brand story is inconsistent across those places, AI may surface that confusion back to potential customers.

For founders and CMOs, the lesson is simple. AI search will not reward messy brands. It will expose them.

Amazon Tests Ads That Can Complete the Purchase

Amazon has introduced Alexa+ Agentic Ads, allowing users to move from seeing an ad to buying inside the Alexa+ conversation.

The format lets people ask questions, review options and complete purchases without leaving the assistant. Launch partners include Papa John's for food ordering and Beck, Jill Scott and Omar Courtz for ticket purchases.

For e-commerce brands and agencies, this is an early signal of where agentic commerce is heading. The next ad unit may not send people to a landing page. It may help complete the sale itself.

Pinterest Wants to Be Seen as a Shopping Search Engine

Pinterest CEO Bill Ready told Business Insider that the platform sees more than 80 billion searches a month.

More than half of those searches are commercial, and Gen Z now makes up more than half of Pinterest’s user base. That makes Pinterest less like a simple social platform and more like a visual search engine for product discovery.

For brands, search is becoming more visual, commercial and inspiration-led. If your product needs to be discovered visually, Pinterest may need to sit closer to your search strategy.

Claude Moves Into Slack as an AI Teammate

Anthropic has launched Claude Tag in beta, allowing Claude Team and Enterprise users to mention Claude directly inside selected Slack channels.

Teams can tag Claude, connect approved tools and delegate tasks using channel context. Anthropic also says 65% of its product team’s code is created by its internal version of Claude Tag.

The next AI adoption wave may not be another new app. It may be AI entering the tools teams already use every day.

French Firms Adopt AI, but Most See Few Gains

Reuters reported that French mid-sized firms are adopting generative AI quickly, but most have not yet seen clear productivity benefits.

Bpifrance’s annual ETI barometer found that 77% of surveyed firms use generative AI. But only 17% of those using it reported time savings.

This is the anti-hype signal business owners need. AI adoption does not automatically create results. The gap is not access. It is execution.

AI Is Starting to Reshape Jobs and Headcount

Reuters reported that Oracle’s workforce fell by about 21,000 employees in fiscal 2026 as the company restructured partly around AI adoption.

Oracle had 141,000 employees as of May 31, 2026, compared with about 162,000 the previous year. Reuters also reported that Oracle spent $1.84 billion on severance and exit costs during the same fiscal year.

This connects to a wider workforce shift. A Swiss jobs.ch study found that entry-level roles advertised in Switzerland were 32% lower in 2025 than the 2019 to 2022 average.

Junior roles in AI-exposed fields fell 16%, while senior roles in those same fields rose 26%. That raises a bigger talent question for businesses. If AI removes junior work first, how do people gain the experience needed to become senior?

Reuters has also tracked a wider pattern of companies cutting jobs as investment shifts toward AI. Amazon, Microsoft, Lufthansa and IBM have all been part of the broader restructuring conversation, with businesses trying to reduce costs, automate work and redirect investment towards AI infrastructure, software and automation.

For SMEs, the warning is clear. AI transformation is no longer just about tools. It is starting to affect headcount, training, structure and future talent pipelines.

AI Visibility Is Becoming Easier to Measure

Google has added generative AI performance reporting inside Search Console for AI Overviews, AI Mode and AI-powered experiences in Discover.

Microsoft is moving in the same direction. Bing Webmaster Tools is rolling out AI visibility features, including Intents, Topics, Citation Share and Compare.

This matters because AI visibility is moving from guesswork into dashboards. Businesses can now start checking where they appear, what they are cited for and how they compare against the market.

Google Reportedly Limits Meta’s Gemini Capacity

Reuters reported, citing the Financial Times, that Google limited Meta’s access to Gemini capacity after demand outstripped available compute.

The report said Meta was encouraged to use AI tokens more efficiently after Google could not meet the requested capacity. Reuters also noted that it could not immediately verify the report independently.

This is another reminder that AI advantage is not only about model quality. It is also about reliable access to the compute behind it.

IBM and OpenAI Partner on Enterprise Security AI

Reuters reported that IBM has partnered with OpenAI to bring frontier AI into enterprise security workflows.

Cybersecurity is becoming one of the clearest enterprise use cases for AI, moving from advice into operational work. IBM said the partnership is designed to help businesses identify and reduce security risks, including software vulnerabilities.

For CISOs and regulated businesses, this is a serious signal. Security may become one of the first categories where AI agents win major enterprise budgets.

The Shift - AI Search Measurement Is Finally Becoming Visible

For the last year, most businesses have been talking about AI visibility without being able to measure it properly.

They could test prompts manually, check whether ChatGPT or Gemini mentioned them, and look for AI referral traffic inside analytics. But they could not clearly see how often their pages were appearing inside Google’s AI Search experiences.

That is now starting to change.

Google is expanding AI Search performance reporting inside Search Console, giving site owners more visibility into impressions from AI Overviews and AI Mode. The report includes useful signals such as impressions, pages, countries, devices and dates.

That means businesses now have the first layer of visibility. They can start seeing whether their content is showing up inside AI Search, but they still need to understand what the data actually means.

What Businesses Should Check First

The first thing to understand is that an AI Search impression is not the same as a normal search impression.

Google’s John Mueller clarified that impressions are counted when a link to your page appears inside AI Overviews or AI Mode. If the link only appears after someone expands or activates part of the AI result, it only counts after that action happens.

AI Search results are not always simple blue links; they can include summaries, expandable sections, source cards, citations and different layers of information. So, if your numbers look low, it does not automatically mean your business is invisible. It may mean your link was hidden deeper inside the AI result, or that the reporting is only showing part of the picture.

This is why businesses need a better diagnostic view.

Start by checking whether your pages are appearing inside AI Search reports. Then look at which pages are being surfaced, which countries and devices are showing activity, and whether certain topics are starting to appear more often.

After that, go beyond Search Console.

Check whether AI tools mention your business when buyers ask real questions. Look at whether your brand is cited, linked or only mentioned. Compare how AI describes you against competitors. Review whether your website, reviews, PR, social content and third-party mentions are telling the same story.

The Big Question for Businesses

The big question is not just whether your website is getting traffic from AI Search. The bigger question is whether your business is showing up in the moments where buyers are making decisions.

If someone asks AI who to trust, which provider to compare, what product to choose or which company is best for their situation, are you appearing in that answer? If you are appearing, are you being described accurately? If competitors are appearing instead, what evidence is AI using to choose them?

That is the part most businesses still cannot see from a normal traffic dashboard.

Search Console is a useful starting point, but it does not show the whole buyer journey. It does not tell you every prompt where your business was missed, every competitor being recommended, or every source AI is using to form an opinion about your brand. 

The businesses that learn how to read these signals now will make better decisions before competitors even realise AI Search has become part of the funnel. They will know which pages need improving, which topics need clearer answers, which sources need strengthening and where their brand story is being misunderstood.

AI Search measurement is arriving, but the first-mover advantage will belong to the businesses that do not treat it like another SEO report.

They will treat it as a new visibility layer that shows whether AI can find them, understand them and recommend them when it matters.

What We’re Working On

1. Live AI Visibility Audits for Businesses

We are launching live AI Visibility Audits every Tuesday, Thursday and Friday.

The idea is simple. We want to show businesses exactly how AI sees them, how visible they are, and how they compare against others in their industry.

For each selected business, we will do the research before the live session. Then the business owner can join live to see the results, understand the findings and hear what needs to change next. This will look at how AI talks about the business, whether it understands the offer clearly, which competitors it surfaces, and where the business may be missing from AI-generated answers.

Normally, this kind of audit costs £500 because it involves research, testing and analysis. For selected businesses, we will be running some of these free audits live. There is also a private paid option for businesses that want the same level of insight without sharing their results publicly.

The important part is that businesses will leave knowing what needs to improve. They can take that information and act on it themselves, work with their existing team, or choose who they want to support them.

If you want your business to be considered for a live AI Visibility Audit, get in touch with the Tenacious team.

The aim is to make AI visibility more practical, more understandable and more useful for real businesses. If you want your business to be one of the first audited live, email  [email protected] with the words “AI Live Audit”.

We will pick two businesses for each live session and walk through their visibility, opportunities and next steps in public.

2. RemShield AI: Building Smarter Business Operating Systems

Through RemShield AI, we are helping businesses look at automation from top to bottom. That means finding the zombie tasks, removing unnecessary manual work, and building smarter workflows that save time across the business.

The goal is not to add more tools for the sake of it. The goal is to create a practical AI operating system that fits how the business actually works. This could include automating repetitive admin, improving handovers, connecting systems, creating better reporting, and helping teams spend less time on tasks that should not need human effort anymore.

For businesses, this is where AI becomes more than experimentation. It becomes a way to redesign how work gets done.

If you want to understand where automation could save time, reduce friction and improve how your business operates, speak to the RemShield AI team.

Final Takeaway

AI visibility is no longer just about publishing better content or ranking higher on Google.

This week’s stories all point to a bigger shift. Businesses now need to know whether AI can access their website, understand their brand clearly, measure their visibility, and trust the signals it finds across the wider web.

That means the foundations matter more than ever.

Your hosting, robots.txt file, website structure, brand positioning, reviews, third-party mentions and content clarity can all influence whether AI systems understand and recommend your business.

At the same time, AI adoption inside businesses is moving beyond experimentation. The companies getting results are not just giving teams new tools. They are redesigning workflows, removing unnecessary tasks, building capability and measuring whether AI is actually improving the way work gets done.

The first-mover advantage will not belong to businesses that simply “use AI”. It will belong to businesses that are visible to AI, understood by AI, and ready to apply AI properly across their operations.

The next question is not only, “Are we using AI?”

It is, “Can AI find us, understand us, recommend us, and help us work better?”

Want to Know What AI Is Saying About Your Business?

If you want to understand how visible your business is in AI search and how AI compares you against your competitors, we can help.

Reply “audit” to this newsletter, or email [email protected], and our team will run a  AI Visibility Audit so you know exactly what AI is saying about your business.

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