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 outcomes of Google’s May Core Update reveal a search landscape that has become significantly more intricate than usual ranking changes. Following an extensive 12-day rollout, described by SEO experts as “more impactful than March,” the search environment has transformed, necessitating the development of innovative measurement approaches. This timing coincides with the debut of AI Overview reporting in Google Search Console, providing content creators with their first substantial insights into content performance within an AI-driven search framework.

Simultaneously, Google has introduced options for opting out of AI search, but the vital click data necessary for making informed choices remains elusive.

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

What Key Insights Have Emerged from the AI Search Paradox Post-Update?

The AI Search Paradox Google announced the conclusion of the May core update on June 2nd, after an 11-12 day rollout. This update significantly deviated from standard refresh cycles, resulting in considerable fluctuations across various verticals.

An analysis by Aleyda Solis, using SISTRIX data from the US and UK, identified clear patterns. Changes in visibility were closely linked to intent matching—pages adept at aligning with user intent saw gains, while those with generic or misaligned content experienced drops in rankings, irrespective of traditional authority metrics.

This update further emphasised a trend that has been on the rise since late 2025: source type differentiation. Content from specific types of publications and industries consistently displayed advantages. the focus for practitioners has shifted; the pressing question is no longer “are we ranking?” but instead “are we ranking for the appropriate intent signals within our particular market?”

Google’s guidance clarified that no single page experience factor was specifically targeted, indicating that this is a comprehensive algorithmic enhancement. Nonetheless, the substantial effects on traffic patterns suggest significant changes in how relevance signals are prioritised.

How to Utilise Insights from GSC’s New AI Overview Reporting Effectively

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 precise measurement has heightened the AI Search Paradox.

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

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

The reporting showcases performance in Discover, offering a comprehensive overview of where your content appears beyond traditional blue-link search results.

Navigating the AI Search Paradox Opt-Out Dilemma: Making Choices Without Adequate Data

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

This development raises pressing concerns. Websites are prompted to choose between inclusion and exclusion from AI search based on performance data that is just beginning to emerge. The learning curve has nearly vanished.

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

For large-scale sites equipped with advanced analytics, some signals may be discernible. For the majority of practitioners, the available data remains inadequate for making well-informed opt-out decisions. The most sensible strategy is to monitor the new GSC reporting, establish baseline metrics, and postpone opt-out decisions until substantial data has been gathered.

How the AI Search Paradox Influences Your SEO Strategy

The measurement introduced by the AI Search Paradox represents a strategic turning point. While you can now assess AI Overview performance in GSC, the novelty of the data may impede confident decision-making. At the same time, the focus on intent matching in the May update suggests that traditional ranking factors alone are insufficient.

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

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

Delay 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 developing; making early opt-out decisions may 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 signals a growing dependence on Google’s own documentation and resources for strategic decisions, consolidating the information ecosystem around Google’s properties.

Vital Insights from the AI Search Paradox

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

The practitioners who excel at navigating this evolving landscape will be those who actively monitor the new data, resist the urge for premature optimisation, and recognise that the rules are still being established—by Google and the industry at large.

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