AI Search Paradox Revealed in Google’s May Update

Exploring the Impact of Google’s May Core Update on AI Search and New Reporting Features in GSC

The launch of Google’s May Core Update reveals a search landscape that is significantly more intricate than typical ranking adjustments. Following an extensive 12-day rollout, which SEO experts describe as “more substantial than March,” the search environment has transformed, necessitating innovative measurement strategies. This update coincides with the rollout of AI Overview reporting in Google Search Console, providing content creators with their first genuine insights into how their content performs in an AI-driven search context.

Simultaneously, Google has provided options for opting out of AI search. the crucial click data necessary for making informed decisions remains difficult to access.

This scenario exemplifies the AI Search Measurement Paradox, presenting a significant challenge for SEO practitioners in mid-2026.

What Key Learnings Have Emerged from the AI Search Paradox After the Update?

Google announced the conclusion of the May core update on June 2nd, following an 11-12 day rollout period. This update significantly diverged from regular refreshes, leading to notable volatility across various verticals.

An analysis conducted by Aleyda Solis, using SISTRIX data from the US and UK, revealed distinct visibility patterns. Changes in visibility were intricately linked to intent matching—pages that successfully aligned with user intent saw improvements, whereas those with generic or misaligned content fell in rankings, regardless of traditional authority metrics.

This update reinforced a growing trend observed since late 2025: source type differentiation. Content from specific types of publications and markets consistently showed advantages. the focus for practitioners has shifted; the pressing question is no longer “are we ranking?” but instead “are we ranking for the correct intent signals relevant to our specific market?”

Google’s guidance clarified that no single page experience factor was specifically targeted, suggesting this is a comprehensive algorithmic enhancement. Nevertheless, the significant traffic pattern shifts indicate substantial changes in how relevance signals are prioritised.

Maximising Insights from GSC’s New AI Overview Reporting

After months of anticipation, Google Search Console now provides insights into which pages appear in AI Overviews, AI Mode, and Discover. This transition from estimation to actual measurement has intensified the AI Search Paradox.

The newly designed reporting interface allows filtering by search type, offering impressions and click data where available. For the first time, practitioners can address fundamental questions: Which pages are included in AI Overviews? Do these pages exhibit different click behaviours compared to those not featured in AI Overviews?

This critical data empowers strategic decision-making that was previously based on assumptions. If a page ranks in AI Overviews for high-value queries but has a low click-through rate, this insight becomes pivotal—either the AI-generated summary effectively meets user intent (indicating zero-click success) or it diverts clicks that should ideally lead to your site (resulting in visibility without traffic).

The reporting also highlights performance in Discover, offering a comprehensive view of where your content is visible beyond standard blue-link search results.

Understanding the Opt-Out Dilemma of the AI Search Paradox: Making Decisions Amidst Insufficient Data

As measurement capabilities advance, new challenges arise. Google now permits websites to opt out of AI search features; however, the data required for informed decision-making often proves inadequate. This encapsulates the AI Search Paradox.

The timing of this option raises concerns. Websites are urged to choose between inclusion and exclusion from AI search based on performance data that is just beginning to emerge. The learning curve has nearly disappeared.

The reality for most websites is stark: without insight into your AI Overview click-through rate, you are left uncertain about the conversion value of AI-referred traffic compared to traditional organic traffic. you lack clarity on how opting out may influence your visibility in standard results. Choosing to opt out of AI search based on the current data is akin to abandoning a highway after merely one trip.

For enterprise-level sites equipped with advanced analytics, some signals may be identifiable. for the majority of practitioners, the available data remains insufficient for making well-informed opt-out choices. The most prudent approach is to monitor the new GSC reporting, establish baseline metrics, and delay opt-out decisions until substantial data has been collated.

How the AI Search Paradox Influences Your SEO Strategy

The measurement introduced by the AI Search Paradox marks a strategic turning point. While you can now assess AI Overview performance in GSC, the novelty of the data may hinder confident decision-making. Concurrently, the emphasis on intent matching in the May update indicates that traditional ranking factors alone are insufficient.

Evaluate intent alignment. Review the pages that either gained or lost visibility after the May update. Identify whether the successful pages share specific traits related to intent matching—such as improved question-answering, enhanced topical depth, or structural elements indicating comprehensive coverage.

Monitor new GSC data. While immediate action based on AI Overview impressions is not advisable, begin establishing baseline metrics. Track the types of pages that appear in AI Overviews and correlate these with traffic trends. This information will become actionable within a 60-90 day timeframe.

Postpone opt-out decisions. Unless you receive clear negative signals from the new GSC data, continue your inclusion in AI search results. The measurement framework is still evolving; making hasty opt-out decisions could be premature.

Prepare for a Shift in Google’s Authority Role. Google’s recent guidance positions itself as the benchmark for SEO and AEO/GEO advice, raising questions about the role of third-party tools and services. This indicates a growing reliance on Google’s own documentation and resources for strategic decisions, consolidating the information ecosystem around Google’s properties.

Key Takeaways from the AI Search Paradox

The combination of the May core update, new GSC reporting, and the AI opt-out mechanism creates a measurement landscape that is both more transparent and complex. Practitioners can now observe AI search performance in unprecedented ways. they are also compelled to make strategic decisions before achieving sufficient visibility to act decisively.

Those practitioners who excel in navigating this evolving landscape will be those who actively track the new data, resist the urge for premature optimisation, and recognise that the rules are still being defined—by Google and the industry as a whole.

Article by Geoff Lord, The Marketing Tutor, Internet Marketing Consultants, AI Content Creators, Web Designers, and Local SEO Specialists.
Supporting readers globally for over 30 years.
The Marketing Tutor elaborates on the AI search measurement paradox arising from Google’s recent core updates and new reporting tools.