February 2025 SEO News Roundup
February was a steady month for search, with a mix of small but important updates. AI Overviews got more attention, local SEO changed quietly, and structured data saw a few additions. Nothing dramatic, but still worth keeping on your radar.
AI Overviews Reduce Click-Through Rates by Up to 30%
A study revealed that Google’s AI Overviews are having a measurable impact on organic traffic. Sites with AI-generated summaries above the standard search results are seeing up to 30% fewer clicks. The summaries often answer user questions directly on the SERP, reducing the need to visit the source websites. The study adds to growing concerns that AI features may be cannibalizing organic traffic for informational queries1.
Why it matters: Publishers and SEO teams need to rethink how they present information in titles and meta descriptions. If AI Overviews are satisfying user intent on the SERP, enticing clicks will require stronger hooks, clearer value, and perhaps structured content designed to complement the Overview rather than compete with it. This change is especially relevant for content-heavy sites focused on educational, how-to, or product research queries.
Google Local “Diversity” Update Limits Organic Listings for Businesses in Local Pack
Google quietly rolled out a local “diversity” update that removes organic listings for businesses already featured in the local pack. The update, which began as early as August 2024, means that if a URL appears in the 3-pack, it may be excluded from appearing again in the regular organic results2.
Why it matters: This affects local businesses, multi-location brands, and SEOs managing Google Business Profiles. It makes it critical to use separate landing pages or URL variants for GBP listings and organic results. Without that separation, businesses risk losing a second spot on the results page, reducing overall visibility for key queries.
Google Adds Support for Pricing Types and Member Tiers in Structured Data
Google updated its structured data guidelines for product pricing. The update introduces support for priceType, which helps clarify if a price is regular, sale, or strikethrough, and a new beta attribute called validForMemberTier, which lets merchants mark up prices available only to members. These improvements bring structured data closer to what’s already available in Merchant Center feeds3.
Why it matters: E-commerce websites and developers can now better represent complex pricing scenarios directly in search results. This update helps ensure that users see accurate, relevant pricing, potentially boosting click-through rates. It’s especially helpful for marketplaces, membership-based retailers, and brands running frequent promotions.
Google Search Now Loads Faster By About 60 Milliseconds
Google announced that it’s testing a new privacy-first prefetching technique that cuts page load time by about 60 milliseconds. Using Chrome’s Speculation Rules API, Google preloads the top search results while hiding full URL details through a private proxy. This allows faster rendering while maintaining user privacy. The update is being tested across Chrome for Android and desktop4.
Why it matters: Faster load times improve user experience and can positively influence engagement signals like bounce rate and time on site. For SEOs and developers, it’s a reminder to optimize pages for speed and compatibility with prefetching technologies that might soon become the standard.
AI Overviews Expand in Google Lens and iOS App Search Screen
Google has expanded the role of AI Overviews within Google Lens, allowing it to summarise more unusual or context-specific images. The same update also integrates Lens into the Chrome browser and Google app for iOS, letting users “Search your screen” for AI insights on any visible content. These features are part of Google’s push to bring visual and contextual AI to the forefront of everyday search experiences5.
Why it matters: For SEOs working on image-rich sites like e-commerce, travel, or recipe content, optimising image metadata and structured data is now even more critical. Better-optimised visuals could surface in AI Overviews, expanding discoverability and engagement.
Google Organises Local Events Using AI
Google is now using AI to automatically group and display local events in a new “Organised Events” module within search results. The feature highlights concerts, workshops, and community gatherings in a single, scrollable unit. Businesses don’t need to opt in, but well-marked-up events are more likely to be surfaced6.
Why it matters: Small businesses and community organisers gain visibility for in-person events, so event marketers and local SEO specialists should ensure event schema is implemented accurately.
AI Overviews Comparison Mode Rolls Out in Google Search
Google introduced a “Comparison Mode” for AI Overviews. When users search for “X vs Y” queries, the feature shows a side-by-side breakdown of specs, features, or key differences, drawn from multiple sources. This new interface reduces the need to click through to comparison pages, offering a faster route to decision-making7.
Why it matters: Product review sites and affiliate content creators need to ensure that their structured data is comprehensive and precise. If the AI summary gets everything right from the source, users may not click. On the other hand, missing or vague markup might leave your content out of the overview entirely.
Google Suggests Results Based On Images You’ve Viewed
Google Search on Android and desktop now includes a feature called “Related to images you’ve seen”, which displays content based on previously viewed images, whether from webpages or a user’s own gallery. It appears as a carousel of similar or relevant results, personalised using device-level history and browsing data8.
Why it matters: For content creators and e-commerce businesses, this update means high-quality visuals can drive recurring traffic, even if a user doesn’t click the first time. It reinforces the need for descriptive image tags, alt text, and filenames.
Google Updates Quality Rater Guidelines to Address Generative AI Content
The latest Quality Raters Guidelines include detailed directions on how to evaluate AI-generated content. Raters are asked to consider whether content shows evidence of human review, originality, and factual accuracy. Pages that appear auto-generated without oversight may be rated lower for quality and trustworthiness9.
Why it matters: Publishers and businesses using AI for content production must prioritise editorial standards, human fact-checking, and transparent attribution. Failing to do so could hurt perceived content quality and, eventually, organic rankings.
That’s it for February. No major shakeups, but plenty of quiet changes that could add up over time. As always, the small details tend to matter most in search.
