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Weekly Update – Search Marketing – 9th April 2026

ByJamesA

Estimated reading time: 12 minutes

This week’s SEO news brings a packed round-up of the most significant changes shaping search marketing. From Google’s March 2026 Core Update and a dramatic spike in AI bot traffic, to new e-commerce protocols and the evolution of AI-powered search, there’s plenty for digital marketers and PPC professionals to digest. Whether you’re concerned about algorithm volatility, preparing for agentic search, or looking to optimise your paid campaigns, these insights will help you stay ahead in a fast-moving landscape.

Table of Contents

SEO & Algorithm Updates

AI & Search Innovation

E-commerce & Structured Data

PPC, Paid Media & Measurement

Brand, PR & Community

Analysis & Wrap Up

Search Industry Update: Google Core Update, AI Bot Traffic, E-commerce Protocols & the Future of Search

The search landscape is evolving rapidly, with major developments across Google’s core algorithm updates, a dramatic surge in AI bot traffic, new e-commerce integration standards, and the continued rise of AI-driven and agentic search experiences. This roundup brings together the most impactful news and analysis for digital marketers, SEO specialists, and PPC professionals, highlighting what these changes mean for both day-to-day optimisation and long-term strategy. From technical SEO and content quality to ad innovation and brand visibility in AI-powered environments, this update provides actionable insights for agencies and brands looking to stay ahead in a competitive, shifting market.

Google March 2026 Core Update Rollout is Now Complete

Google has wrapped up its March 2026 core algorithm update, marking the end of a 12-day rollout that has left its mark across industries and search verticals. For SEO professionals, this is a critical checkpoint: core updates are notorious for causing ranking volatility, and this one is no exception. While some industry commentators have noted that the March update felt less dramatic than previous core updates, there have still been significant movements for many sites, with both winners and losers emerging. Google’s ongoing recommendation is to focus on people-first, high-quality content and to adhere closely to E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) principles.

For agencies and brands, immediate action is essential. Now is the time to thoroughly audit your site, review affected pages, and analyse Search Console and analytics data for shifts in visibility, traffic, and keyword performance. Senior decision-makers should ensure that communication lines are open between technical teams and stakeholders, as clients will be looking for clear explanations and recovery plans if their sites have been hit. It’s important to remember that ranking drops after a core update do not necessarily mean something is broken; often, recovery comes with future updates, not quick fixes. However, this is a prime opportunity to reassess content quality, technical SEO, and site relevance.

On a more granular level, SEO teams should be looking for patterns in the types of content or technical issues that have been rewarded or penalised. This includes reviewing structured data, internal linking, and page experience signals. For those who have seen gains, it’s worth identifying what’s working and doubling down on those strengths. For those who have lost ground, prioritise improvements to E-E-A-T signals and address any thin or outdated content. The completion of this update is a reminder that ongoing optimisation and agility are non-negotiable in today’s search environment.

AI Bot Traffic Surged 300%, Hitting Publishers Hardest

A new report has revealed a staggering 300% year-on-year increase in AI bot traffic, with publishers bearing the brunt of this trend. The surge is driven by the proliferation of AI-powered crawlers and content aggregators, which are scraping web content for both training and real-time answer delivery. This new wave of bot activity is not just a technical headache; it has real business implications. For publishers and content-driven brands, the rise in bot traffic is leading to inflated analytics, increased infrastructure costs, and a decline in organic search referrals, as AI platforms increasingly satisfy user queries without sending clicks to the original source.

For SEO and digital marketing professionals, this development demands a more sophisticated approach to traffic analysis and bot management. Agencies should be reviewing server logs to distinguish between human and bot visits, updating robots.txt files to control access, and monitoring for unauthorised scraping. It’s also time to consider more advanced solutions, such as identity verification for bots and “pay-per-crawl” models, which could turn scraping into a monetisable transaction rather than an uncontrolled extraction. Accurate reporting and the protection of valuable content assets are now critical components of a sustainable digital strategy.

At a strategic level, this shift signals the need for brands and publishers to rethink their content distribution and monetisation models. As AI-driven platforms like ChatGPT and Gemini become primary sources of information, traditional referral traffic is likely to decline. Senior leaders should be exploring partnerships, licensing arrangements, and new ways to ensure their content is attributed and rewarded in the AI ecosystem. Managing bot traffic is no longer just an IT concern, it’s now a core part of digital strategy, brand protection, and revenue planning.

Google Rolls Out Onboarding Guide for Universal Commerce Protocol

Google’s launch of a comprehensive onboarding guide for its Universal Commerce Protocol (UCP) marks a significant step forward for e-commerce integration in the AI era. UCP is designed to streamline how merchants expose structured product and transaction data, making it easier for AI agents and search platforms to display and transact with online stores. This is a clear signal that Google is moving towards a future where search is not just about discovery, but also about seamless, in-search transactions.

For search marketers and e-commerce brands, early adoption of UCP could provide a first-mover advantage. Implementing structured data and integrating with UCP will likely improve product visibility in AI-powered search results and position merchants for success as shopping becomes more embedded in conversational and agentic search journeys. Agencies should review the onboarding documentation, assess client readiness, and prioritise technical integration to ensure clients are not left behind as this new standard rolls out.

From a senior perspective, the implications are far-reaching. The shift towards agentic commerce means that conversions may increasingly happen within Google’s ecosystem, potentially reducing traffic to merchant websites but increasing the importance of accurate data feeds, product information, and seamless checkout experiences. Performance measurement, attribution, and optimisation strategies will need to adapt, as traditional last-click models become less relevant. Staying ahead of these changes will be vital for maintaining competitiveness in the evolving landscape of AI-driven commerce.

Google Tests Swipeable Location Carousel in Search Ads

Google is experimenting with a swipeable location carousel within search ads, a feature that could dramatically enhance the visibility and accessibility of multi-location businesses. This new ad format allows users to browse multiple business locations directly within the ad unit, providing a more interactive and engaging experience. For brands with multiple physical locations and agencies managing local PPC campaigns, this update has the potential to drive higher engagement, increase foot traffic, and improve local conversion rates.

The carousel format consolidates multiple listings into a single, scrollable unit, making it easier for users to compare nearby options. However, it also raises the stakes for competition within the carousel itself, as businesses will be vying for attention in a more condensed space. Marketers should ensure that their Google Business Profiles are fully optimised, with accurate location extensions and up-to-date review data for each site. Poorly reviewed sub-locations could now be more exposed, so reputation management at the local level becomes even more important.

For senior marketers and agency leaders, this test highlights the ongoing innovation in local search advertising and the need for agile creative strategies. Monitoring performance metrics and adapting ad assets to maximise exposure for each location will be crucial if the feature is rolled out more widely. The shift towards more interactive ad formats is part of a broader trend of making local results more competitive and user-friendly, and those who adapt quickly will be best placed to benefit.

Google Launches Developer Hub for Ads and Measurement Tools

Google’s new developer hub for ads and measurement tools is a welcome move for technical marketers and agencies looking to build, automate, and scale complex advertising solutions. By consolidating resources, documentation, and API access for products like Google Ads, Analytics, AdMob, and Google Ad Manager, the hub streamlines the process of implementing advanced tracking, automation, and reporting. This centralised platform is set to lower the barrier for technical innovation and improve efficiency in campaign management and data analysis.

For PPC professionals and analytics teams, the hub provides a single entry point for accessing best practices, technical support, and community resources. This will be particularly valuable as advertising becomes more automated and AI-driven, with increased reliance on APIs, tagging, and data integrations. Agencies should invest time in familiarising themselves with the hub’s offerings, as it will enable them to deliver more robust, compliant, and data-driven solutions to clients.

At a strategic level, the developer hub signals Google’s commitment to supporting the growing technical sophistication of digital advertising. Senior leaders should view this as an opportunity to upskill teams, improve attribution modelling, and ensure campaigns remain aligned with Google’s evolving ecosystem. As measurement and automation become more central to performance marketing, having a strong technical foundation will be a key competitive differentiator.

Google’s March 2026 Broad Core Update Has Completed Rolling Out

The completion of Google’s March 2026 broad core update has been confirmed, with the rollout taking just over 12 days. While some industry observers have described this update as less “powerful” than previous ones, there have still been notable ranking shifts across both large and small websites. The update serves as a reminder that volatility is the norm, not the exception, and that both gains and losses can occur even for sites that have previously weathered algorithm changes well.

For SEO professionals, the advice remains consistent: focus on content quality, user experience, and technical SEO fundamentals. Analysing recent performance data to identify changes in traffic and keyword positions is essential, as is conducting thorough site audits to pinpoint areas for improvement. Agencies should be proactive in communicating with clients about observed impacts, setting clear expectations, and outlining recovery or optimisation plans.

From a leadership perspective, this update underscores the importance of resilience and agility in search strategy. The ability to respond quickly to algorithmic changes, prioritise improvements to E-E-A-T signals, and maintain ongoing monitoring will be key to maintaining and enhancing search visibility. The evolving algorithmic landscape demands a culture of continuous improvement and a willingness to adapt as Google refines its ranking systems.

Google Testing Jumping To AI Mode Directly From AIOs ON DESKTOP

Google is currently testing a feature that allows users to jump directly from AI Overviews (AIOs) to AI Mode on desktop, a function previously limited to mobile devices. By clicking the “Show more” button, users are taken into a deeper, AI-driven search experience, making the transition from traditional SERPs to conversational AI more seamless. This change is part of Google’s broader push to integrate generative AI into mainstream search and reflects the company’s vision of an AI-first search environment.

For SEO and content professionals, this development raises important questions about how user behaviour and organic traffic may shift as AI-generated answers become more prominent. Marketers should be monitoring the impact on click-through rates, user engagement, and the types of content that are being surfaced in AI Overviews and AI Mode. Optimising for these AI-driven experiences means ensuring that content is authoritative, well-structured, and likely to be selected by Google’s AI systems.

For senior marketers and digital leaders, the move towards AI Mode as a default experience signals a fundamental change in how users interact with search. Brands will need to invest in content strategies that cater to both traditional and AI-powered discovery, ensuring they remain visible and relevant as the boundaries between search and conversation continue to blur. Staying ahead of these changes will require both technical agility and a willingness to experiment with new optimisation tactics.

Google’s Sundar Pichai Signals an Agentic, Multi-Threaded Future for Search

In a recent podcast, Google CEO Sundar Pichai outlined a vision for the future of search that is increasingly agentic and multi-threaded, drawing comparisons to a “Jarvis-like” experience. Pichai described a world where users can run multiple search threads simultaneously, enabling more complex, task-oriented interactions with Google Search. This shift towards AI-powered, conversational search journeys will blend information retrieval with task completion, fundamentally changing how users engage with search engines.

For search marketers, this signals the need to prepare for evolving user expectations and to optimise content and digital assets for agentic workflows. Structured data, conversational content, and seamless user experiences across multiple touchpoints will become increasingly important. Agencies should be considering how to position their clients for success in a world where AI agents are making decisions, comparing options, and even executing tasks on behalf of users.

At a senior level, the move towards agentic search represents both a challenge and an opportunity. Brands that invest in building strong digital footprints, entity recognition, and trust signals will be better positioned to be selected and recommended by AI agents. The future of search will be less about ranking for individual keywords and more about being the brand that AI chooses to represent, recommend, and transact with. Strategic investment in AI readiness is now a business imperative.

Google Ads is testing new layouts for multi-location Google Business Profile (GBP) assets, including swipeable formats and enhanced visual elements. This update is designed to improve the presentation and discoverability of multiple business locations within a single ad unit. For agencies and brands managing local PPC campaigns, these changes could have a significant impact on how location information is displayed and interacted with by users.

The new layouts bring review data for individual locations to the forefront, making it more important than ever for brands to manage their reputation at the local level. Poorly reviewed sub-locations can no longer hide behind a strong overall brand rating. The swipeable carousel format also increases competition for attention within the ad unit, as users can quickly compare options and make decisions based on proximity, ratings, and other factors.

For senior marketers, this test highlights the ongoing evolution of local search advertising and the need for up-to-date, accurate GBP data. Agencies should monitor ad performance closely, adapt creative strategies, and ensure that all location data is current and optimised. The ability to respond quickly to layout changes will be essential for maximising the effectiveness of local ad campaigns as Google continues to innovate in this space.

Agentic Search: How AI Agents Will Decide Which Brands Get Found

Agentic search is redefining how users discover brands online, as AI agents increasingly evaluate, compare, and act on behalf of searchers. In this new paradigm, AI systems autonomously select and recommend brands based on user intent, data signals, and contextual relevance. For search marketers, this means that traditional ranking factors are no longer the sole determinants of visibility; instead, brands must optimise for AI-driven decision-making processes.

The key pillars of agentic search are Discovery, Clarity, Authority, and Trust. Brands must ensure they are discoverable by AI agents, clearly represented across digital channels, validated by independent sources, and trusted enough to be recommended or transacted with. This requires a holistic approach that goes beyond content and technical SEO, encompassing digital PR, reputation management, and structured data implementation. Agencies should be advising clients on how to build comprehensive digital footprints and strong brand signals that AI agents recognise and favour.

At a strategic level, agentic search presents both risks and opportunities. The biggest risk is being filtered out by AI before a human ever has a chance to consider your brand. The opportunity lies in becoming the brand that AI agents trust and recommend, leading to increased visibility and competitive advantage. Senior leaders should prioritise investment in AI visibility, brand monitoring, and cross-channel optimisation to ensure their brands are well-positioned in the agentic search landscape.

ChatGPT Traffic Analysis: Insights from 17 Months of Clickstream Data

A new Semrush study analysing 17 months of clickstream data has shed light on how ChatGPT is reshaping search habits and web traffic patterns. The research reveals a shift in user behaviour, with more searches being conducted through AI-driven platforms and fewer direct website visits from traditional search engines. ChatGPT is driving notable traffic to educational resources, academic publishers, and technical documentation, but also introducing new types of search intent that go beyond traditional navigational, informational, commercial, and transactional categories.

For SEO and content marketers, this trend underscores the importance of optimising for AI search visibility and understanding referral sources beyond Google. Brands must ensure their content is accessible, well-structured, and easily retrievable by large language models (LLMs). Monitoring traffic sources, adapting content for conversational AI platforms, and tracking changes in user engagement are now essential components of a modern search strategy. The rise of unique, creation-first intents on ChatGPT also suggests a need for content that supports learning, problem-solving, and creative tasks.

From a senior perspective, these findings highlight the need to diversify search strategies and invest in brand visibility across a broader range of platforms. As AI-driven search continues to disrupt established traffic flows, organisations that adapt quickly and embrace new optimisation tactics will be better positioned to connect with audiences (especially younger users and students who are driving adoption of AI platforms). Success in this new landscape will require a shift from traditional SEO metrics towards a more holistic, audience-centric approach.

Google Web Guide: What It Is, How It Works, and What It Means for SEO

Ahrefs has provided an in-depth look at Google’s Web Guide, a Search Labs experiment that uses AI to organise search results into themed groups rather than the classic list of ten blue links. Unlike AI Overviews or AI Mode, Web Guide actively encourages users to click through to websites, making it the most “website-friendly” AI search feature Google has introduced so far. For SEO professionals, this could signal a partial “click comeback” in an era where zero-click searches have been on the rise.

Web Guide leverages AI-driven “query fan-out” to break a single search into multiple sub-queries, grouping results by sub-topic and intent. This means that content covering niche angles or specific sub-topics could gain visibility, even if it wouldn’t traditionally rank on the first page. The system values efficiency and clarity, so well-structured, comprehensive content is more likely to be surfaced. Personalisation also plays a significant role, with results tailored to user data and search history.

For agencies and brands, optimising for Web Guide involves building topical clusters, using clear and descriptive headings, and ensuring strong internal linking. Senior marketers should be aware that Web Guide could become a key part of Google’s strategy to balance user experience, AI compute costs, and ad monetisation. As Google experiments with new SERP formats, staying flexible and investing in content that addresses a wide range of user intents will be crucial for maintaining and growing organic visibility.

Brand Bias in Prompts: An Experiment

Moz’s recent experiment on brand bias in large language model (LLM) prompts has important implications for search marketers. Analysing 300 prompts, the study found that LLMs, including Google Gemini, often display significant brand bias – especially for queries with commercial or soft-brand intent. Even when brands are not explicitly mentioned in the prompt, LLMs frequently include brand references in their responses, with “soft-brand” prompts producing a notable number of brand mentions.

For SEO and digital PR professionals, this highlights the growing importance of brand authority and presence across digital channels. Building strong brand signals, optimising for entity recognition, and monitoring how brands are referenced in AI-generated content are now essential strategies. The way prompts are phrased, and the topics chosen, can significantly influence brand visibility in AI search results. Proactive reputation management and strategic content development will help ensure brands are favoured in AI-driven search and conversational interfaces.

At a higher level, this research underscores the need for brands to diversify their approach to AI visibility. Tracking branded, soft-branded, and non-branded prompts can provide a more nuanced understanding of how LLMs surface brands. Senior marketers should invest in tools and processes that monitor AI visibility and adapt their strategies to influence how AI evaluates and presents brands. In a world where AI is shaping user perceptions, brand management must extend well beyond traditional SEO tactics.

Reddit Brand Strategy for AI Search – Whiteboard Friday

Moz’s latest Whiteboard Friday explores how brands can leverage Reddit to boost visibility in AI-driven search results. With Reddit content now being surfaced by both Google and ChatGPT thanks to high-profile data deals, authentic engagement within Reddit communities has become a powerful way to build trust and authority. The session outlines three modes of brand engagement: insight-gathering, contextual contribution, and conversation catalyst, all aimed at enhancing brand mentions and improving the likelihood of being cited in AI-generated answers.

For search marketers, this means that Reddit should be considered a key component of digital PR and entity optimisation strategies. Brands that participate authentically, contribute value to discussions, and build credibility within relevant subreddits are more likely to be referenced by AI models. Agencies should advise clients to monitor conversations, understand subreddit rules, and engage in a way that aligns with community norms. This approach not only supports AI visibility but also strengthens overall brand reputation and authority.

From a senior perspective, embracing Reddit as part of a holistic digital strategy is essential for maintaining a strong presence in the evolving landscape of AI-powered search and conversational discovery. The integration of community-driven content into AI models means that reputation and trust are now built not just on owned channels, but across the wider web. Brands that invest in authentic engagement and community participation will be better positioned to win in the new era of search.

Conclusion: Navigating the Strategic Direction of Search Marketing

The April 2026 search industry update paints a picture of a landscape in transition, driven by advances in AI, evolving user behaviours, and Google’s ongoing innovation in both organic and paid search. For SEO and PPC professionals, the key themes are agility, technical excellence, and a holistic approach to brand visibility. Core algorithm updates and new SERP formats demand continuous optimisation and a willingness to adapt, while the rise of agentic and AI-driven search experiences places a premium on structured data, brand authority, and trust signals.

Senior marketers and agency leaders must look beyond traditional metrics, investing in AI readiness, reputation management, and cross-channel strategies that ensure their brands are discoverable, credible, and chosen by both humans and AI agents. The integration of e-commerce protocols, new ad formats, and community-driven content into the search ecosystem means that success will increasingly depend on collaboration between technical, creative, and strategic teams. By staying informed, proactive, and open to experimentation, search professionals can navigate the challenges and seize the opportunities of this dynamic, AI-powered future.

Key Takeaways

  • Google’s March 2026 Core Update has reinforced the need for ongoing site audits, high-quality content, and a strong focus on E-E-A-T principles.
  • The 300% surge in AI bot traffic means marketers must review analytics, improve bot management, and consider new monetisation models for scraped content.
  • Adopting Google’s Universal Commerce Protocol early could give e-commerce brands a vital edge as AI-driven shopping becomes mainstream.
  • New ad formats, such as swipeable carousels for multi-location businesses, require up-to-date local data and agile creative strategies to maximise visibility and conversions.
  • AI-driven search experiences like AI Mode and agentic search are changing how users interact with search engines, making structured data and brand authority more important than ever.
  • Reddit and community engagement now play a significant role in building brand trust and visibility within AI-generated answers.
  • Technical upskilling and investment in measurement tools are essential as automation and AI reshape both organic and paid search.

Frequently Asked Questions

How will AI Mode affect my SEO strategy?

AI Mode is set to change user behaviour by surfacing more AI-generated answers and reducing reliance on traditional SERPs. To stay visible, focus on authoritative, well-structured content and ensure your site is optimised for AI-driven experiences.

What changes should I make to my Google Ads campaigns with new ad formats?

With features like swipeable location carousels and enhanced layouts, it’s crucial to keep your Google Business Profile data accurate and up to date. Monitor performance closely and adapt your creative assets to maximise exposure for each location.

How do I optimise for AI Overviews and agentic search?

Optimise your content for clarity, authority, and trust by using structured data, building strong brand signals, and ensuring your site is easily crawlable by AI systems. Invest in digital PR and reputation management to improve your chances of being selected by AI agents.

What should I do about the surge in AI bot traffic?

Review your analytics to separate human and bot traffic, update your robots.txt, and monitor for unauthorised scraping. Consider advanced solutions like bot identity verification and explore ways to monetise or control access to your content.

How can I leverage Reddit for AI search visibility?

Participate authentically in relevant subreddits, contribute valuable insights, and build credibility within communities. This increases the likelihood of your brand being referenced by AI models and improves your overall digital reputation.

Conclusion

The latest developments in search marketing highlight the growing influence of AI, automation, and new ad formats on both organic and paid strategies. Staying ahead means embracing technical innovation, prioritising structured data, and building a strong, trusted digital presence across multiple platforms. As the boundaries between search, conversation, and commerce continue to blur, marketers who adapt quickly will be best placed to thrive.

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.

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