Facts, Stats & Latest News from SEO, Search & Marketing Industry [March, 2026]

Facts, Stats & Latest News from SEO, Search & Marketing Industry [March, 2026]

March 2026 finds SEO in (yet another) period of change. Artificial intelligence now directly affects how search results are displayed, while tools like AI Overviews are reshaping the relationship between visibility and clicks. At the same time, updates to products such as Google Discover, Search Console and the Bing Webmaster Guidelines show that the search ecosystem is gradually moving from traditional SERPs to a more complex environment, where search engines, AI answers and in-app discovery coexist.

Google Discover becomes more local

New data shows that, after the recent Discover core update, several local publishers in the U.S. maintained visibility within their own state, but lost a significant portion of their national visibility. This suggests that Discover now places greater emphasis on geographic relevance, local interest and personalized content distribution.

New Search Console filter for branded queries

Google has made the new branded queries filter available to all eligible accounts in the Performance Report of Search Console. The feature allows SEO teams to more easily separate traffic coming from brand searches and traffic coming from non-branded queries. This is a change that can improve reporting, forecasting and evaluation of true non-brand demand.

Bing adjusts its guidelines for AI search

Microsoft has updated the Bing Webmaster Guidelines to also cover how content appears in AI answers via Copilot. The new guidelines include clearer guidance on meta directives, as well as new categories of abusive practices. This signals a shift from purely "web ranking rules" to rules for retrieval and AI presentation.

AI Overviews and their impact on clicks

A recent study shows that, when AI Overviews appear, organic clicks can drop by as much as 42%. At the same time, however, for breaking news content, traffic increased by 103%. The findings highlight that the impact is heavily dependent on intent, format and query type.

Key takeaway: AI Overviews don't reduce traffic "across the board"—in specific scenarios (e.g., breaking news) they can be combined with increased traffic.

Search is no longer happening only on Google

According to new research, AI assistants account for about 56% of total search volume, with roughly 45 billion monthly sessions. A large part of this usage takes place through mobile apps rather than web browsers. This changes the SEO frame from "SERP optimization" to "presence across discovery surfaces".

Ranking no longer means citation in AI results

In a dataset with 863,000 keywords and 4 million AI Overview URLs, it was observed that the share of citations coming from pages in the Top-10 organic results fell from 76% to 38%. The finding reinforces the idea that AI systems select sources using different criteria than classic ranking signals.

Key takeaway: Ranking ≠ citation. A visibility strategy must also account for how content is "retrieved" and "presented" in AI answers.

LinkedIn influences brand presence in AI results

A new Semrush study analyzed 325,000 AI prompts and identified 89,000 unique LinkedIn URLs within AI answers. Overall, LinkedIn appears in about 11% of AI responses. This suggests that a brand footprint on third-party platforms may play a role similar to "off-site SEO" for AI discovery.

The business dimension of the shift in search

The transition from traditional search to LLM-based experiences is already affecting how businesses manage their online presence. The goal is shifting from "winning clicks" to "being the trusted source" inside answers, summaries and in-app results. This has implications for content strategy, PR, product marketing and analytics.

When excessive AI use wears teams down

Another Harvard Business Review article examines the phenomenon researchers call "AI brain fry", i.e., the mental fatigue that can result from excessive use of AI tools without clear processes. The topic is directly linked to the operational side of SEO/marketing: workflows, QA, governance and human limits. Without a framework, tools increase output but reduce overall effectiveness.

Quick summary

• Discover: locality and geographic relevance are being strengthened.
• Search Console: a new branded queries filter improves performance reporting.
• Bing: guidelines adapted for AI answers and new abuse definitions.
• AI Overviews: potential click declines, but not the same impact across all intents.
• AI discovery: search is shifting to assistants and mobile apps.
• AI citations: the correlation with the Top-10 drops sharply.
• LinkedIn: emerges as a strong asset for brand presence in AI results.