How Google visibility changes with AI Mode (and how we apply it at Pasiona)

How does the emergence of generative artificial intelligence affect the way companies gain online visibility? At Pasiona, as a technology consultancy, we have analysed this change in depth to anticipate and adapt. We tell you what Google’ s AI Mode means, why it has a direct impact on SEO strategies and how we are applying it to our services and content.

What is Google AI Mode?

From May 2024, Google is incorporating what it calls “AI Mode” into its search engine, an experience that combines generative artificial intelligence with traditional search. When you make a query, Google no longer shows you just links: it generates a contextualised summary with direct answers, comparisons, recommendations and web page citations.

The key difference: this system does not work with traditional positions. Content is selected based on its semantic relevance, how it fits into a chain of reasoning and the intention that Google detects in the user, not just the specific keyword.

As expert Mike King points out in his article How AI Mode Works and How SEO Can Prepare for the Future of Search ” you no longer optimise for a specific keyword or a specific page. You optimise for your content to be semantically relevant across dozens of hidden queries and content-competitive within a customcorpus”.

How does this change SEO as we know it?

Until now, SEO work has been based on three main pillars:

• Optimise entire pages for certain keywords.
• Generate external links (link building).
• Improve technical metrics (speed, mobile, accessibility…).

AI Mode transforms that dynamic. Now:

• Google chunks your content into passages or blocks.
• Answer rephrased or implicit queries, not just the original one.
• It uses per-user reasoning and personalisation algorithms.

This means that positioning yourself for a query such as ” AIsolutions for SMEs” no longer depends only on being in the top 3. It now matters that a specific passage on your website explains, for example, how a company applied AI to optimise its inventory.

How we are adapting from Pasiona

At Pasiona, where one of our flagship services is the development of generative AI solutions and business assistants, we have been working to anticipate this change and help our clients gain visibility in AI-dominated environments. These are the courses of action we have already implemented:

1. Modularisation of content at passage level

We have redesigned our pages and articles so that each block responds independently to a clear intention. For example, in our ChatGPT Business Assistant solution, each section is designed to answer specific questions:

• What it is and what it is for.
• Main features.
• Direct businessbenefits.

This increases the likelihood of being cited by AI Mode.

2. Incorporation of verifiable and comparative data

AI Mode prioritises passages that contain objective figures, sources and comparisons. We apply it in our article on how to manage expectations in AI projects, and also back it up with studies such as:

• McKinsey (2023): 55% of organisations report having adopted AI in some function, but only 27% attribute more than 5% of its benefits to it, showing a large gap between adoption and value generated.
• Deloitte (2022): AI-leading organisations are 1.7 times more likely to have a comprehensive AI strategy and well-defined goals.
• PwC (2021): 76% of business leaders believe that not harnessing the value of their data is one of the main obstacles in their AI projects.
• Deloitte (2023): 62% of organisations experience delays in AI projects due to inadequate time and resource management.
• Gartner (2024): by 2025, 70% of organisations will have AI credibility problems due to a lack of transparency in their communication.
• AI Index Report (Stanford, 2023): companies that measure the ROI of their AI projects are 58% more likely to successfully scale their initiatives.

This approach not only improves the quality of information but also increases our chances of being cited in Google’ s AI responses.

3. Optimisation for implicit queries and FAQs

We not only optimise for custom application development, but also for sub-queries and FAQs. We apply this in our article on Governance of Artificial Intelligence in the enterprise, where we include frequently asked questions such as: “How can we optimise the use of Artificial Intelligence in the enterprise?

• What does AI governance mean?
  It is the set of policies, processes and tools that ensure that AI systems are used ethically, securely and in alignment with corporate objectives.
• What regulations affect the use of AI in business?
  Currently the GDPR regulates data protection aspects, but the forthcoming European IA Act will establish a specific legal framework.
• Can I integrate AigentsManager with my existing agents?
  Yes, AigentsManager is compatible with OpenAI, Gemini, DeepSeek and proprietary systems.
• Is it only for large companies?
  No, it is designed for any organisation that uses multiple AI agents and seeks strategic alignment and control.

These FAQs not only solve explicit queries, but also anticipate related questions that the AI Mode interprets in the search.

4. Multimodal content creation

As Mike King points out, “in AI Mode, the winners are those who create content ecosystems, not just pages”. That’s why we are moving our key content into formats:

• Infographics.
• Carousels on LinkedIn.
• Minivideos.
• Whitepapers
• Checklists
• Guides

All designed to fragment and combine into generative responses.

Why does this matter for our customers?

If companies looking for digital solutions do not find your content cited in these new AI responses, you lose visibility before the user sees the classic SERP.

According to a BrightEdge study , Google AI Overviews are already appearing in 32% of B2B tech searches, profoundly transforming how content is displayed in industries like ours and reducing click-through opportunities in traditional results. The report also highlights that AI Overviews are largely replacing classic Featured Snippets and shifting visibility to AI-selected snippets.

Adapting our strategy not only improves positioning, but also protects and enhances organic lead generation in solutions or services such as time&materials, generative AI or custom development.

In a nutshell

• Google changes the rules with its AI Mode.
• Classic SEO does not guarantee visibility in this new environment.
• At Pasiona we already adapt content, formats and strategy to continue generating opportunities.
• The key is to design semantic, verifiable, modular and multimodal content.

As Mike King says: ” Visibility is no longer a ranking. It’s a semantic match to the user ‘ s contextual intent and a chain of reasoning”.

And in Pasiona, we are already working on it.

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