Reflecting on another year in the world of search, I’ve seen how Google labeled 2025 as year three of a 10-year transformative shift. This change, centering on AI, became undeniably evident. No longer just an experiment, AI has now firmly integrated into the core processes of search.
Here, I’ll share the most significant SEO news stories of 2025 from Search Engine Land.
Note: This overview excludes Google algorithm updates, which Barry Schwartz has covered in a separate recap published today.
10. Perplexity Ranking Factors and Systems
Diving into the intricacies, independent researcher Metehan Yesilyurt examined browser-level interactions, revealing how Perplexity scores, ranks, and sometimes drops content. His findings uncovered a three-layer machine learning system reordering entity searches, manual authority whitelists, and many engagement signals.
He also observed that authoritative domains, early strong performance, and tech-focused topics received boosts. The ranking further mirrored time decay, interconnected content clusters, and trending YouTube content that amplified visibility.
9. Google Search Console Query Groups
In a move all about clarity, Google introduced Query groups to the Search Console Insights report. By employing AI, it groups similar search queries into distinct audience topics. These don’t influence rankings but make performance trends more apparent, especially for high-volume sites.
8. HubSpot’s SEO Decline
I was surprised to see HubSpot’s organic traffic plummet from 13.5 million to 8.6 million within a month, mainly impacting its blog. This followed several Google updates, with SEOs pointing to thin, broad content not aligned with HubSpot’s core expertise.
7. SEO vs. GEO
The ongoing identity debate in SEO continues as Google rejects new terminologies like GEO (generative engine optimization) and AEO (answer engine optimization). They maintain that strong SEO practices are also effective for GEO, underpinning AI Overview rankings’ fundamentals.
Yet, as AI answers replace clicks, traditional search still plays a vital role in discovery, despite search behavior evolving with users seeking AI for quick answers but relying on Google for extensive research.
- Google says normal SEO works for ranking in AI Overviews
- Google’s Danny Sullivan: ‘Good SEO is good GEO’
- Google Search is 373x bigger than ChatGPT search
- How AI is reshaping SEO: Challenges, opportunities, and brand strategies for 2025
- Nearly all ChatGPT users still rely on Google: Data
- Google Search traffic decline is inevitable, execs say
- LLM traffic converts about the same as organic search: Research
- Google is still 210x bigger than ChatGPT in search
6. Google AI Mode
The expansion of Google AI Mode from a trial to an almost default, comprehensive search experience was rapid. It incorporated more in-depth research, agentic activities, personalization, and the advanced Gemini 2.5—a drastic evolution toward complex search behaviors.
This AI Mode initially struggled with transparency, breaking referral tracking and merging its performance data with standard Search Console reports, sparking concerns over visibility and attribution in a more AI-centric search landscape.
- Google launches AI Mode to all U.S. searchers with new features
- Google AI Mode may become the default Google Search experience “soon.”
- Google AI Mode traffic data comes to Search Console
- Google AI Mode traffic is untrackable
5. Cloudflare vs. Google
When Cloudflare CEO Matthew Prince spoke about AI disrupting the web’s search-driven business model, it resonated with many. He highlighted the disproportionate relationship—Google and AI companies scrape extensive content while returning minimal traffic, jeopardizing original publishing unless the economic model adapts.
4. Google Search Market Share Drops
Seeing Google’s search share dip below 90% globally for the first time since 2015 was significant, driven by shifts in Asia and the U.S. This opened opportunities for Bing, Yandex, and Yahoo to capture some of Google’s shrinking share.
3. AI-Generated Content
Google’s stricter stance on AI-generated content was clear when it instructed quality raters to assign the Lowest ratings to predominantly auto-generated pages. The expanded spam definitions targeted scaled, low-effort AI implementations.
Concurrent tests of AI-generated and AI-summarized search snippets indicated a future where AI not only critically examines content but also influences its presentation in searches.
- Google quality raters now assess whether content is AI-generated
- Google testing AI-generated descriptions for search snippets
2. Impact of Google AI Overviews on Clicks
I noticed analysis from various sources showing a troubling trend: Google Search offered more impressions and AI Overview visibility but resulted in fewer clicks. This was especially evident with non-branded, informational queries where AI Overview overshadowed classic results.
Brands mentioned in AI Overviews saw improved CTR, whereas those outside these features lost prominence, emphasizing that AI visibility is pivotal in driving successful outcomes.
- Google AI Overviews drive 61% drop in organic CTR, 68% in paid
- New data: Google AI Overviews are hurting click-through rates
- Google organic and paid CTRs hit new lows: Report
- New Google AI Overviews data: Search clicks fell 30% in last year
1. R.I.P., num=100
Google’s removal of the &num=100 search parameter has widely impacted the SEO industry, disrupting rank-tracking tools and coinciding with a noticeable decrease in Google Search Console impressions and query counts.
Initial evaluations suggested that the majority of sites experienced reduced visibility, especially beyond Page 1, hinting at historic overreported metrics and a more realistic view of organic performance going forward.
- Google Search rank and position tracking is a mess right now
- Google Search confirms it does not support the results per page parameter
- 77% of sites lost keyword visibility after Google removed num=100: Data
Inspired by this post on Search Engine Land.
Leave a Reply