AI Search & SEO Industry News – July 2026

What happened in SEO & AI search news this month?

Each month, Lumar’s in-house tech SEO experts hand-pick some of the SEO industry’s top news stories from across the web to keep you up-to-date on all things SEO and website optimization.

For our July 2026 SEO & GEO/AEO news roundup, the top headlines include:  

Dive into the details behind the SEO and GEO/AEO headlines this month below…

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Google’s 2026 spam update completes its rollout in just two days

It took Google just two days to finish rolling out its second spam update of  the year. . Unlike  March’s spam update, this one didn’t include  any noteworthy changes to its spam policies, nor were there any announcements about specific behaviour being penalised. For sites affected, Google advises reviewing its spam policy documentation in detail. Site owners should also be prepared that recovery from spam-related penalties typically takes months rather than days.

(Source: Google Search Status Dashboard)

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Data shows continued decline in CTR for 2026

New data from Advanced Web Ranking indicates that CTR for top organic positions continues to decline year over year. , particularly on SERPs  featuring AI Overviews and other rich features. The data highlights a widening  gap between ‘clean’ SERPs with 10 organic results and feature-heavy results pages, where AI summaries, ads and other rich results compete for attention. Rankings  still matter, but visibility is increasingly  decoupled from clicks as zero-click behaviour rises.

(Source: Advanced Web Ranking)

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Google clarifies how impressions work in AI Overviews and AI Mode

After some initial confusion among SEOs, John Mueller has confirmed that only links — not brand mentions — count as impressions in Google’s AI search features. Links must also be visible to the user to be counted. If a user needs to expand or interact with an AI feature before a link is displayed, the impression is only recorded once that link becomes visible..

(Source: John Mueller via BlueSky)

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Google doubles-down on its ‘Good SEO is Good GEO’ messaging

A new Google Think article was published last month by Brendon Kraham, VP of Search & Commerce Global Ads Solutions at Google. Kraham explains how AI-led features like AI Overviews and AI Mode are designed to surface helpful, high-quality content from the existing search index. He reiterates that success in this environment still depends on strong technical SEO, useful content and a focus on user needs, rather than AI-specific optimisation tactics.

The article also positions AI Search as an extension of traditional search systems, with existing ranking and quality signals still central to visibility in generative search.

(Source: Think With Google)

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Study finds just 3% of llms.txt files were accessed by AI systems in May

A new study from Ahrefs analysed 137,000 domains that were live in May 2026. 28% of those had published an llms.txt file yet 97% of those files received zero requests..

Of the small subset that did get traffic, AI-related crawlers accounted for a minority share. Most traffic instead came from SEO tools, research bots and general crawlers. The study further raises questions about the practical value of llms.txt files for AI visibility,  particularly if maintaining one comes as the expense of  higher-priority tasks.

(Source: Ahrefs)

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Microsoft Clarity adds robots.txt violation tracking to Bot Analytics

Microsoft has added a new feature in Clarity’s Bot Analytics dashboard that  flags when bots request URLs blocked by a site’s robots.txt file. The update allows site owners to monitor violation rates, track trends over time and break down activity by bot, operator, and content type.

The feature also highlights which sections of a site are being accessed despite restrictions, offering a clearer view of how AI crawlers and automated systems interact with published content and crawl directives.

(Source: Microsoft)

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Google downplays the benefits of markdown for AI understanding… and then surfaces markdown in AI overviews

In the latest Search Off the Record episode, Martin Splitt and John Mueller discuss whether websites should convert content to Markdown to improve AI visibility. These tactics have been gaining a lot of traction recently, especially via the launch of features like Cloudflare’s “Markdown for AI Agents”. Google’s argument  is that modern crawlers and LLMs are already well-equipped to process standard HTML, including complex page structures. Therefore, they  don’t require simplified markdown formats.

 That advice, however,  appeared to be contradicted when one user spotted actual Markdown appearing in Google’s AI Overview snippets. At the very least, this   confirms that Google’s own AI systems are accessing Markdown and seemingly using it as part of the response generation process.

(Source: Google Search Off the Record Podcast)

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Bing adds more new AI visibility reporting features to Webmaster Tools

Microsoft has introduced four new metrics in Bing Webmaster Tools: Intents, Topics, Citation Share, and Compare. The update builds on its existing AI Performance report, giving site owners more  detailed insight into how content is surfaced and cited in AI-generated answers.

Intents and Topics group queries into broader semantic categories, while Citation Share measures how often a site is cited relative to competitors. The changes  help formalise AI search optimisation as a measurable layer of SEO.

(Source: Bing)

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Headline formats have minimal impact on Google Discover performance

Analysis of over 3.4 million articles indicates that common assumptions around headline structure—whether they’re formatted as questions, statements or quotes—do not reliably drive Discover visibility alone. Instead, performance metrics are more strongly tied to broader factors like content quality and topical relevance. The findings challenge the growing popularity of  ‘headline hacks’ as an optimisation strategy.

(Source: Search Engine Land)

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