In this week’s digital news, Google’s new multi-vector retrieval algorithm (MUVERA) improves search speed and performs better on complex queries. Google confirms the June 2025 core update is now rolling out and may take up to three weeks to complete.
Google Ads’ new AI Max match type gives advertisers visibility into automated search performance, enabling clearer comparisons and more informed campaign decisions. As advertisers demand more control, transparency and results, The Trade Desk’s UK VP Phil Duffield argues that the open internet offers a more accountable, effective path forward and explains how programmatic tools are evolving to meet the moment.
Studies show that articles with 1,500 words or more tend to perform better on search engine results pages compared to shorter posts.
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Google’s new MUVERA algorithm improves Search
Google announced a new multi-vector retrieval algorithm called MUVERA which speeds up information retrieval and ranking, and improves accuracy. Using vector embedding enables machines to understand the similarities between words, topics and phrases that are closely related, leading to a more well-rounded answer. This shows the shift towards similarity judgements and aligning with the context and intent of a query overall in SEO today. Rather than exact match keywords that have previously been used.
Read more here.
Google rolls out June 2025 Core Update
Google started rolling out their June 2025 core update, announced on Monday 30th June and expected to take up to three weeks to fully roll out. Like with every core update, our advice is not to panic and make any rash decisions. But instead to watch how your rankings and traffic performs throughout and after the update to assess if any changes are needed to your current strategy. Changes seen from core updates will not be a reflection of recent updates, but rather longer term patterns seen on your site. See our advice on how to prepare and recover from core updates.
Read more here.
Google Ads rolls out “AI Max” search match type in Search Term report
Google Ads’ new AI Max match type now allows you to see automated search performance separately from traditional match types. It appears as a distinct category in reporting dashboards, enabling analysis of key metrics like ROAS, CPA, and CPC. By blending broad match, creative signals, and landing page content, AI Max expands reach but raises concerns over cost and relevance. This update, part of a beta rollout, more easily test the results of AI Max campaigns to understand the difference between that and existing campaign types.
Read more here.
The future of digital advertising: transparency, control and the open internet
An interesting opinion piece from The Trade Desk about the move away from walled garden marketing platforms. Trust is fading as advertisers seek measurable outcomes, not vague metrics. Consumers now spend more time on premium, open content platforms, driving advertisers to reassess investments. Programmatic advertising, enhanced by AI and privacy-first tools like EUID, is key to navigating this change. Tools like OpenSincera increase supply chain transparency. The open internet offers quality, diversity, and control supporting smarter, results driven advertising. Far from dying, it’s becoming the centre of innovation and effectiveness in digital marketing (according to those invested in it anyway).
Read more here.
The power of long-form content: why it’s still relevant in SEO
Studies show that articles with 1,500 words or more tend to perform better on search engine results pages compared to shorter posts. This format allows marketers to cover topics more thoroughly. Which aligns with user intent and improves dwell time as readers stay longer to consume detailed content. The combination of depth and relevance helps generate more backlinks, which in turn boosts authority and sustains long-term traffic.
Read more here.
Winning at zero-click marketing starts with customer empathy
This podcast looks at the end of traditional attribution modeling and the rise of zero-click marketing. Success now depends on providing value directly within platforms like LinkedIn, TikTok, and YouTube. Rand Fishkin shares tactics for adapting content to platform algorithms that favour engagement over clicks. Focusing on metrics like brand lift, comments, shares, and follower growth. He shares the importance of combining behavior data with direct user feedback to understand customers better. The episode emphasizes using empathy to guide marketing decisions.
Listen here.
For more information on any of this week’s stories or for support with your digital marketing efforts, our friendly team would be more than happy to discuss your requirements. Drop us an email to team@modo25.com
