Estimated reading time: 16 minutes

This week’s SEO news roundup covers a host of pivotal developments shaking up the search marketing landscape. From Google’s AI Overviews now dominating ecommerce queries and the sharp drop in small publisher traffic, to major updates in Google Ads automation and technical SEO priorities, there’s plenty for marketers to digest. We also look at how trust and personalisation are becoming central to both organic and paid strategies. Stay informed on the latest shifts so you can keep your SEO and PPC campaigns ahead of the curve.

AI Search, Technical SEO, and PPC: Key Developments Shaping Search Marketing

March 2026 has brought a wave of significant updates across the search landscape, with AI-driven changes taking centre stage in both organic and paid channels. Google’s rapid expansion of AI Overviews into ecommerce queries, sweeping declines in search traffic for small publishers, and the ongoing evolution of ad formats and technical SEO priorities are all reshaping how brands, agencies, and publishers approach visibility and performance. Meanwhile, new features and platform-level shifts are redefining best practice for both SEO and PPC professionals. This roundup breaks down the most important news, offering actionable insights for digital marketers and agency leaders navigating this fast-moving environment.

Google AI Overviews now appear on 14% of shopping queries: Report

Google’s AI Overviews have made a dramatic leap in ecommerce, now surfacing on 14% of shopping queries, up from just 2.1% in November 2025. This sixfold increase, highlighted by Visibility Labs’ analysis of over 20 million SERPs, signals a major shift in how product-intent searches are handled. For ecommerce brands and agencies, the risk of losing organic and Shopping listing visibility is now very real, as AI-generated summaries increasingly intercept high-value queries before users even see traditional listings.

For SEO professionals, this means that optimising for classic blue links is no longer enough. AI SEO strategies must be front and centre, with a focus on structuring product data for AI discovery, crafting content that is easily summarised, and reinforcing brand authority to remain visible in AI Overviews. Monitoring the penetration of AI Overviews within your vertical is now a vital part of search intelligence. Brands that fail to adapt risk seeing their organic reach eroded as Google’s AI features become the new gateway to product discovery.

At a senior level, this development demands a rethink of investment in content, schema, and measurement. Leadership should expect to see attribution models and organic reporting shift as AI Overviews intercept more traffic. The competitive landscape is also likely to intensify, with early adopters of AI SEO best practice gaining a clear edge. The message is clear: integrating AI SEO is no longer optional for ecommerce. It’s now essential for safeguarding and growing search-driven revenue.

Small publisher search traffic fell 60% over two years: Data

Chartbeat’s latest analytics reveal that small publishers have experienced a staggering 60% decline in search referral traffic over the past two years, with mid-sized sites down 47% and even large publishers seeing a 22% drop. The culprit is the rise of AI search experiences, which are not offset by new sources like ChatGPT. Despite a 200% increase in referrals, these remain under 1% of total traffic. Google Search pageviews fell by a third year-on-year, and Google Discover also dropped 15%.

For SEO and content teams, this is a wake-up call: relying on Google as the primary growth engine is no longer sustainable, especially for smaller sites. The urgency to diversify traffic sources has never been greater. Building direct audience relationships, investing in owned channels, and offering differentiated value beyond SEO are now critical for survival. Agencies should be advising clients to look beyond search, focusing on brand building, newsletters, and community engagement to mitigate the risk of further search declines.

For senior marketers and publishers, this trend underlines the need for a multi-channel approach and a shift in KPIs. It’s time to move from a search-first mindset to a broader digital strategy that includes social, email, partnerships, and direct engagement. Understanding shifting user behaviours in an AI-driven search environment is now a board-level concern, with implications for revenue forecasting, resource allocation, and long-term brand resilience.

Google retires several legacy ad format policies

Google has officially retired several legacy ad format policies in Google Ads, including those governing form ads, image quality, responsive ads, and text ads. This move reflects Google’s ongoing shift towards newer, automated campaign types and a more unified policy framework. For advertisers and agencies, the immediate benefit is reduced compliance complexity. Outdated requirements have been removed and all campaigns must now align with the current standards for ad formats.

For PPC professionals, this streamlining means less administrative overhead and fewer policy-related disruptions. However, it also signals Google’s continued push towards automation and AI-driven ad products. Advertisers are expected to embrace automated campaigns, responsive formats, and AI-powered optimisation as the new norm. Agencies should audit all active campaigns to ensure compliance with the latest policies and proactively communicate these changes to clients, especially those with older or legacy campaign structures.

At a strategic level, this update is a clear nudge from Google to move away from manual, legacy setups and towards a future where automation and machine learning are at the core of paid search. Senior decision-makers should review their agency or in-house teams’ readiness for this transition, ensuring skills and processes are up to date. Embracing automation is no longer just a technical upgrade – it’s a requirement for staying competitive and compliant in the evolving Google Ads ecosystem.

Google brings vehicle feeds to Search campaigns

Google Ads has rolled out support for vehicle feed integration in Search campaigns, allowing automotive advertisers to display real inventory directly within text ads. This brings Shopping-style visual elements to Search, making ads far more engaging for high-intent users and streamlining the path from search to conversion.

For PPC specialists and automotive marketers, this is a significant upgrade. Vehicle listings now appear as clickable assets alongside standard ads, and performance can be tracked using the “Click type” segment. This means richer, more relevant ad experiences without the need for separate campaign types or duplicated feeds. Agencies should move quickly to update their Merchant Center feeds, ensure inventory data is accurate, and monitor results to maximise the impact of this new feature.

From a leadership perspective, this update reflects Google’s broader commitment to automation and product-led ad experiences. Automotive brands and dealer groups should see improved lead quality and conversion rates, while agencies can offer more integrated, data-driven strategies. The move also highlights the growing importance of structured data and feed management as a foundation for both paid and organic visibility in product-driven verticals.

Where to focus technical SEO when you can’t do it all

With development resources often stretched thin, prioritising technical SEO fixes is crucial for maximising impact. The latest guidance recommends starting with site architecture; ensuring a clear hierarchy and robust internal linking to aid crawling, indexing, and user experience. Next, focus on crawling and indexing by reviewing XML sitemaps, robots.txt, and canonical tags to ensure key pages are discoverable and reduce crawl waste by eliminating unnecessary parameter URLs and thin content.

Website performance is another top priority. Optimising backend bottlenecks, minimising JavaScript, and improving Core Web Vitals can have a direct impact on both user experience and crawl efficiency. Mobile UX must not be overlooked, as mobile traffic dominates most sectors. Agencies should conduct technical audits, prioritise fixes based on business impact, and clearly communicate the value of technical SEO to stakeholders.

For senior leaders, this approach ensures that limited resources are allocated to the changes that will drive the greatest ROI. By focusing on high-impact areas (site structure, crawlability, performance, and mobile experience) marketers can deliver real gains in search visibility and long-term site health, even when the wishlist of technical improvements is much longer than the available bandwidth.

Local content playbook: From service pages to jobs-to-be-done pages

A new playbook for local SEO introduces jobs-to-be-done (JTBD) pages, designed to capture high-intent, problem-first searches that traditional service pages often overlook. JTBD pages are structured around real customer problems – covering symptoms, causes, options, cost context, and clear triggers for when to contact a professional. This approach aligns with how users search: starting with the problem, not the service name.

For agencies and local businesses, implementing JTBD pages can fill critical gaps in the search journey, increase conversions, and build trust. These pages support both organic and AI-driven search visibility, as AI Overviews are increasingly triggered by problem-first queries. The playbook offers actionable guidance on structuring JTBD content, internal linking, and keyword research that reflects customer language rather than industry jargon.

At a strategic level, expanding beyond service pages allows marketers to capture earlier-stage demand and position their clients as authoritative, helpful resources. This is especially important as AI-powered search shifts visibility towards content that genuinely solves user problems. Senior decision-makers should prioritise JTBD content as part of their local SEO and content strategies, ensuring their brand is present at every stage of the customer journey.

30-day vs 7-day attribution in Google Ads: What the shorter window revealed

Switching from a 30-day to a 7-day click attribution window in Google Ads can significantly improve signal quality and clarify channel contribution, especially for fast-moving ecommerce and impulse-buying verticals. In a recent case study, a DTC retailer with a 2.2-day average conversion lag saw a 62% increase in ROAS, 42.9% more conversions, and improved incremental ROAS after tightening the attribution window.

For PPC managers, a shorter attribution window reduces cross-platform attribution overlap, provides faster feedback for optimisation, and enhances Smart Bidding performance by feeding fresher signals into the algorithm. However, it’s vital to ensure the attribution window matches the actual sales cycle. Shorter windows may undercount conversions for longer journeys. Agencies should communicate the potential for short-term volatility and recalibration to clients, and regularly review attribution settings to ensure accurate performance measurement.

For senior marketers, this shift is about improving business insights and making more confident decisions about budget allocation. Aligning attribution windows with real buying cycles helps clarify the true impact of each channel, supporting stronger business cases for investment and optimisation. It’s a reminder that attribution is not just a technical setting, but a strategic lever for growth.

Why customer personas help you win earlier in AI search

As AI-driven search shifts user behaviour from generic queries to detailed, contextual questions, leveraging customer personas has become essential for content strategy. Personas help marketers identify real buyer problems and craft content that addresses specific needs, increasing the likelihood of being cited in AI-generated answers. This approach moves content strategy beyond generic topics to focus on questions that reflect actual user intent and context.

For agencies, building persona-driven content enables earlier entry into the customer journey, enhances trust, and differentiates brands in both organic and AI-powered search. The “They Ask, You Answer” methodology becomes far more effective when paired with real-world personas, allowing marketers to anticipate the nuanced questions buyers are asking AI assistants.

At a leadership level, this is about future-proofing brand visibility as AI search becomes more context-driven. Senior marketers should invest in persona research and ensure content teams are equipped to create detailed, situation-specific resources. The brands that align their content with buyer realities will be best positioned to win in both traditional and AI-powered discovery.

Google Removes ‘What People Suggest,’ Expands Health AI Tools

Google has removed the “What People Suggest” feature from health-related search results, signalling a shift in how user-generated suggestions are surfaced for sensitive queries. At the same time, Google has expanded AI-powered health tools on YouTube, aiming to provide more authoritative and accurate information. This is part of a broader effort to prioritise quality and reduce misinformation in health SERPs.

For search marketers, especially those working with health and wellness clients, these changes underscore the importance of E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) in health content. Agencies should monitor SERP changes, adjust content strategies to align with new AI-driven features, and focus on producing authoritative, well-cited information. The removal of user-generated perspectives in favour of structured, expert sources is a clear sign that Google is tightening control over health-related results.

From a senior perspective, this development highlights the need for robust compliance and content governance in regulated industries. Health brands must invest in reputation management, expert validation, and ongoing monitoring of SERP changes to maintain visibility and trust. The expansion of AI tools in health search is likely to continue, making adaptability and content quality top priorities.

Google AI Mode’s Personal Intelligence Now Free In U.S.

Google has expanded its Personal Intelligence feature in AI Mode, making it free for U.S. users and integrating it with Gmail and Google Photos. This rollout, which also includes the Gemini app and Chrome, allows users to leverage AI for hyper-personalised search experiences and deeper data connections. For marketers, this signals a growing trend towards AI-driven personalisation in both search and content discovery.

The impact for SEO and PPC professionals is twofold. First, search behaviour is likely to become more fragmented and context-driven, as AI Mode responses will increasingly vary from user to user based on personal data connections. This makes benchmarking and SERP tracking more challenging, and increases the importance of understanding how personal data shapes search intent. Second, the move towards free, integrated AI features suggests Google is accelerating the democratisation of AI-powered search, which could shift how brands approach both organic and paid strategies.

At a strategic level, agencies and brands need to explore how AI-driven personalisation affects user engagement, conversion paths, and attribution. Marketers should monitor changes in search behaviour, experiment with content and ad strategies tailored to AI-personalised experiences, and be prepared for a future where one-size-fits-all optimisation is no longer effective.

What’s Hot, What’s Not: AI Search Changes In Q1 2026 [Recap]

SEJ Live’s Q1 2026 recap highlights the most significant changes in AI-powered search, distinguishing between trends that matter and those losing relevance. Key takeaways include the rapid expansion of AI Overviews, shifts in citation patterns, and the growing importance of structured data for AI visibility. The session also covers best practices for optimising content to be surfaced in generative search results.

For agencies and marketers, understanding these trends is critical for adapting strategies and ensuring content remains discoverable. The recap emphasises that “replaceable” content (summaries of common knowledge) is most at risk from AI, while original research, experience-first formats, and structured data are increasingly valuable. Schema markup, clean heading hierarchies, and semantic HTML are now essential for AI visibility, and technical SEO work tied to AI outcomes is more likely to gain executive buy-in.

At the leadership level, this is a call to action: review your content portfolio, prioritise structured data implementation, and invest in original, experience-led content. AI search is reshaping the rules of discoverability, and brands that adapt quickly will be best placed to maintain and grow their presence as the search landscape evolves.

PPC Automation Layering: How Smart Advertisers Combine Automation With Strategy

PPC automation layering is an advanced approach that enables marketers to shape automated campaign performance by combining multiple automation features with strategic oversight. Rather than relying solely on a single automated tool, advertisers can layer bid strategies, audience targeting, and creative automation to achieve more precise results and greater control.

For PPC professionals and agencies, automation layering offers improved efficiency, reduced manual workload, and enhanced campaign agility. By integrating Smart Bidding, automated rules, scripts, and third-party tools, marketers can fine-tune campaign delivery while still applying human expertise to data analysis, creative direction, and strategic decision-making. The article provides practical examples and tips for implementing automation layers, emphasising the importance of ongoing monitoring and optimisation.

At a senior level, this approach supports better ROI and resource allocation, enabling teams to focus on high-value activities while automation handles routine tasks. Leaders should encourage a culture of experimentation and continuous improvement, ensuring that automation supports (not replaces) human judgement. The future of PPC lies in the smart combination of machine learning and human strategy.

How To Track AI Visibility & Prompts The Right Way

Tracking AI visibility and prompt performance is becoming essential as generative AI platforms increasingly influence search and content strategies. This article outlines effective methods for monitoring how often your content appears in AI-generated answers and which prompts trigger those citations. Key recommendations include using specialised tools to analyse AI citations, setting up tracking for branded and non-branded prompts, and integrating AI visibility metrics with traditional analytics.

For agencies, robust AI visibility tracking provides deeper insights into content performance, informs optimisation efforts, and helps demonstrate value to clients. Marketers should prioritise prompt tracking, regularly audit AI citations, and adjust content to improve selection rates in AI search. As AI continues to reshape discovery, understanding which assets are surfaced and why is critical for maintaining and growing search presence.

At a strategic level, this is about building a new layer of measurement and accountability. Senior marketers should invest in tools and processes that capture AI visibility data, and ensure their teams are equipped to act on these insights. The brands that master AI prompt tracking will be best positioned to adapt as generative search becomes the norm.

AI Search Barely Cites Syndicated News Or Press Releases

A study analysing 4 million AI citations reveals that syndicated press releases are rarely referenced in AI-generated search answers, while editorial content and owned newsrooms fare much better. For marketers and PR professionals, this finding underscores the diminishing value of traditional press releases for AI visibility. Instead, original, high-quality editorial content is more likely to be cited by AI systems, influencing brand authority and discoverability.

Agencies should advise clients to invest in owned media and unique reporting, prioritising content that demonstrates expertise and originality. Monitoring which assets are being surfaced in AI search is now a key part of content strategy. The shift highlights the need to rethink PR and content distribution, focusing on assets that align with AI citation patterns and build genuine authority.

At a higher level, this is a strategic pivot for brand communications. Senior leaders should recognise that earned editorial coverage and owned newsroom content are now the primary drivers of AI visibility. Allocating resources towards digital PR, thought leadership, and original research will deliver greater long-term value than traditional press release syndication.

3 CMS Platforms Control 73% Of The Market & Shape Technical SEO Defaults

A new analysis shows that three CMS platforms now control 73% of the market, significantly shaping the technical SEO defaults for much of the web. This consolidation means platform-level decisions around indexing, site structure, and schema have a greater impact on SEO outcomes than individual consultant recommendations.

For agencies and marketers, understanding the technical strengths and limitations of dominant CMSs is critical for effective optimisation. Auditing platform settings, leveraging built-in SEO features, and customising configurations where possible are now essential tasks. As CMS defaults increasingly dictate technical SEO, marketers must stay informed about platform updates and advocate for best practices at both the site and system levels.

At a strategic level, this shift changes the nature of technical SEO consulting. The highest-value work is now at the edges (migration consulting, platform audits, and advanced optimisation) whilst baseline technical SEO is increasingly handled at the platform level. Senior leaders should ensure their teams have deep expertise in the major CMS platforms and are proactive in influencing platform-level decisions where possible.

AI agents are transforming brand recommendation dynamics by prioritising trust as a core ranking factor in search and discovery. AI systems now evaluate trust signals when selecting which brands to surface in answers. For marketers, building and maintaining trust is now essential for AI visibility, requiring a focus on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), reputation management, and transparent communication.

Agencies should help clients audit their trust signals, enhance credibility across digital touchpoints, and monitor how AI agents reference their brands. As AI-driven recommendations become more influential, trust will increasingly determine which brands are chosen and cited, making it a strategic priority for search marketing success.

At a senior level, this is a call to invest in brand reputation, customer advocacy, and third-party validation. The eligibility era of search is here: it’s not just about being visible, but about being considered a safe, reliable choice by both AI systems and human users. Brands that invest in trust will gain a lasting competitive advantage.

Google Shares More Information On Googlebot Crawl Limits

Google has provided new insights into Googlebot’s crawl limits, clarifying that crawl capacity is flexible and can be adjusted based on site needs. This information is crucial for large websites and agencies managing enterprise-scale SEO, as it affects how quickly new or updated content is discovered and indexed.

The update emphasises the importance of server performance, crawl budget optimisation, and proper configuration of robots.txt and sitemaps. Marketers should regularly review crawl stats in Google Search Console, identify and resolve crawl bottlenecks, and ensure that high-priority pages are easily accessible to Googlebot. By optimising for crawl efficiency, agencies can improve indexing speed, enhance site visibility, and support ongoing SEO initiatives.

For senior marketers, this is about risk management and maximising organic reach at scale. Investing in technical infrastructure, monitoring crawl health, and staying informed about crawl limit changes are now essential parts of enterprise SEO strategy. The brands that get this right will see faster time-to-market for new content and reduced risk of indexing issues.

Merchant Center Expands, Google Clarifies Smart Bidding, State Of PPC Report – PPC Pulse

The latest updates for paid search professionals include the expansion of Google’s Merchant Center for agencies, new Smart Bidding guidance, and fresh industry data from the State of PPC Report. Merchant Center for Agencies now offers a centralised workspace for managing multiple accounts, making it easier to monitor product feeds, detect issues, and optimise Shopping campaigns across a portfolio of clients.

Google’s Smart Bidding guidance clarifies that advertisers can start with automated bidding strategies from day one, as the system can learn from broader account signals. This reflects a shift towards providing strong signals and conversion tracking accuracy upfront, rather than slowly transitioning towards automation. The State of PPC Report shows that AI adoption is increasing, with marketers using AI for writing, research, analysis, and workflow support. There is still a reliance on human oversight for core optimisation.

For agency leaders and senior marketers, these developments highlight the need for streamlined workflows, robust feed management, and a willingness to embrace automation. The future of PPC is one where operational friction is minimised, and teams can focus on strategy, creative, and business outcomes rather than manual account management.

Google Officially Removes “What People Suggest” Health SERP Feature

Google has officially removed the “What People Suggest” feature from health-related search results, aiming to reduce the spread of potentially unreliable user-generated suggestions in sensitive categories. This update reflects Google’s ongoing commitment to surfacing authoritative health information and combating misinformation.

For search marketers and agencies working with health sector clients, it’s essential to monitor SERP changes and adjust content strategies to align with Google’s emphasis on expertise and trustworthiness. The removal may impact click-through patterns and the visibility of certain content types, especially those relying on forum or community-generated perspectives.

At a strategic level, this is another reminder that regulated industries must prioritise compliance, expert validation, and high-quality content. Senior decision-makers should ensure their teams are prepared for further SERP feature adjustments and are investing in the kind of content that Google and AI systems are most likely to surface in sensitive verticals.

Google “Developing” Opt-Out of Generative AI Features in Search

Google is reportedly developing an opt-out mechanism for generative AI features in Search, responding to publisher and user concerns about content usage and visibility in AI-generated summaries. While details are still emerging, this move could allow site owners to control whether their content appears in AI Overviews and similar features.

For agencies and marketers, this development is significant. It may impact how content is surfaced, cited, and attributed in AI-driven search experiences. Marketers should monitor official announcements, evaluate the potential impact on client visibility, and prepare to update robots.txt or other exclusion protocols as needed. The ability to opt out of AI summarisation could become a key part of content governance and rights management.

At a senior level, this is about protecting intellectual property, managing brand reputation, and maintaining control over how content is used by third-party platforms. Leadership teams should stay proactive, ensuring legal, technical, and marketing stakeholders are aligned on how to respond as Google’s policies evolve.

Strategic Direction: Embracing AI, Automation, and Trust in Modern Search Marketing

The search landscape is undergoing rapid transformation, driven by the expansion of AI-powered features, the consolidation of technical SEO at the platform level, and the increasing importance of automation in paid media. For both SEO and PPC professionals, the message is clear: traditional tactics are no longer enough. Success now depends on embracing AI SEO best practices, investing in original and authoritative content, and leveraging automation to drive efficiency and insight.

Senior marketers and agency leaders must champion a culture of adaptability, ensuring teams are equipped with the skills and tools to thrive in an AI-first environment. This includes prioritising structured data, trust signals, and robust measurement frameworks, while also remaining vigilant about platform-level changes and emerging opt-out mechanisms. The brands and agencies that move quickly, invest in trust and authority, and align with the new realities of AI-driven discovery will be best positioned to lead in the next era of search marketing.

Key Takeaways

Google’s AI Overviews are now present in 14% of shopping queries, making AI SEO strategies and structured product data essential for ecommerce brands.
Small publishers have seen a 60% drop in search traffic, highlighting the urgent need to diversify traffic sources beyond Google and invest in owned channels.
Google Ads is retiring legacy ad format policies and rolling out new features like vehicle feeds, signalling a continued shift towards automation and data-driven ad experiences.
Technical SEO priorities should focus on site structure, crawlability, and mobile performance to maximise impact with limited resources.
AI-driven personalisation and trust signals are becoming key ranking factors, requiring marketers to invest in persona-driven content and reputation management.
Tracking AI visibility and prompt performance is now crucial for understanding how content is surfaced in generative search results.
Senior marketers must adapt strategies to embrace automation, structured data, and multi-channel approaches to remain competitive in the evolving search landscape.

Frequently Asked Questions

How will AI Mode affect my SEO strategy?

AI Mode’s personalisation means search results will increasingly vary by user, making it harder to benchmark rankings. Marketers should focus on structured data, persona-driven content, and monitor how personal data influences search intent and visibility.

What changes should I make to my Google Ads campaigns?

With the retirement of legacy ad format policies and the introduction of features like vehicle feeds, it’s important to audit campaigns for compliance, embrace automation, and leverage new data-driven ad formats to maximise performance and efficiency.

How do I optimise for AI Overviews?

To optimise for AI Overviews, ensure your product and content data is well-structured, easily summarised, and demonstrates strong brand authority. Regularly monitor AI Overview penetration in your sector and adapt your content strategy accordingly.

What’s the impact of Google removing ‘What People Suggest’ in health SERPs?

This change prioritises authoritative, expert-driven content in health search results. Marketers in health sectors should focus on E-E-A-T, expert validation, and compliance to maintain visibility and trust in the SERPs.

How can I track my brand’s visibility in AI-generated search results?

Use specialised tools to monitor AI citations and prompt performance, and integrate these insights with traditional analytics. Regularly audit which content is being surfaced and adjust your optimisation strategy to improve AI selection rates.

Conclusion

The pace of change in search marketing is accelerating, with AI, automation, and trust now at the heart of both SEO and PPC success. Marketers must be proactive, adapting strategies to the latest developments – from AI Overviews and automation layering to the growing importance of structured data and brand authority. Staying ahead means investing in original content, robust measurement, and multi-channel approaches. As the search landscape continues to evolve, those who embrace innovation and agility will be best placed to drive growth and resilience.

Need help adapting your search strategy for AI-driven search? Contact the Anicca team for expert guidance on SEO and PPC in the AI era.

Table of Contents

SEO & Organic Search

PPC & Paid Media

AI & Innovation

Strategic & Leadership

Wrap-Up