AI Search Paradox Uncovered in Google’s May Update

Understanding the Effects of Google’s May Core Update on AI Search and New GSC Reporting

The results of Google’s May Core Update unveil a search landscape that is far more complex than a typical ranking adjustment. Following a comprehensive 12-day rollout described by SEO experts as “more significant than March,” the search environment has evolved, prompting the need for innovative measurement strategies. This timing aligns with the introduction of AI Overview reporting in Google Search Console, giving content creators their first real insight into how their content performs in an AI-driven search environment.

At the same time, Google has implemented options for opting out of AI search, yet the critical click data required for informed decision-making remains elusive.

This situation illustrates the AI Search Measurement Paradox, which represents a key challenge for SEO practitioners in mid-2026.

What Insights Have We Gained From the AI Search Paradox Following the Update?

The AI Search Paradox Google announced the completion of the May core update on June 2nd, after an 11-12 day rollout. This update considerably diverged from standard refreshes, creating notable volatility across various verticals.

An analysis by Aleyda Solis, utilising SISTRIX data from the US and UK, revealed distinct patterns. Changes in visibility were closely associated with intent matching—pages that effectively matched user intent experienced gains, while those with generic or misaligned content dropped in rankings, regardless of traditional authority metrics.

This update further reinforced a trend that has been gaining momentum since late 2025: source type differentiation. Content from certain types of publications and markets consistently exhibited advantages. As a result, the focus for practitioners has shifted; the critical question is no longer “are we ranking?” but rather “are we ranking for the correct intent signals within our specific market?”

Google’s guidance made it clear that no single page experience factor was specifically targeted, indicating that this is a holistic algorithmic enhancement. Nevertheless, the significant impact on traffic patterns suggests that there have been substantial changes in how relevance signals are prioritised.

Leveraging Insights from GSC’s New AI Overview Reporting

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

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

This valuable 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 information becomes crucial—either the AI-generated summary sufficiently satisfies user intent (indicating zero-click success) or it diverts clicks that should ideally lead to your site (resulting in visibility without traffic).

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

Decoding the AI Search Paradox Opt-Out Dilemma: Making Decisions Without Sufficient Data

As measurement capabilities advance, new challenges emerge. Google now allows websites to opt out of AI search features; however, the data needed for informed decision-making is often insufficient. This encapsulates the AI Search Paradox.

The timing of this development raises concerns. Websites are prompted to decide between inclusion and exclusion from AI search based on performance data that is just beginning to surface. The learning curve has almost vanished.

The reality for most websites is stark: without visibility into your AI Overview click-through rate, you are left uncertain about the conversion value of AI-referred traffic compared to traditional organic traffic, and you lack clarity on how opting out might affect 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 enterprise-level 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 approach is to monitor the new GSC reporting, establish baseline metrics, and delay opt-out decisions until substantial data has been collected.

How the AI Search Paradox Shapes Your SEO Strategy

The measurement introduced by the AI Search Paradox presents a strategic turning point. While you can now view AI Overview performance in GSC, the novelty of the data may hinder confident decision-making. At the same time, the emphasis on intent matching in the May update suggests that traditional ranking factors alone are no longer sufficient.

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

Keep an eye on new GSC data. While immediate action based on AI Overview impressions is not recommended, start 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.

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

Prepare for a Change 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.

Essential Insights 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. you are also compelled to make strategic decisions before achieving sufficient visibility to act decisively.

The practitioners who thrive in navigating this evolving landscape will be those who actively track the new data, resist the temptation for premature optimisation, and recognise that the rules are still being defined—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 globally for over 30 years.
The Marketing Tutor elaborates on the AI search measurement paradox resulting from Google’s recent core updates and new reporting tools.