Search Marketing Takeaways for Leaders: June 2026
Search is becoming increasingly harder to define.
For a long time, the phrase “search marketing” mainly meant visibility on Google and Bing, split neatly between organic and paid results. That world still exists, and it still matters, but the shape of search continues to evolve at pace.
Discovery now happens across traditional search engines, AI answers, shopping feeds, maps, YouTube, social platforms, app stores, marketplaces, LLMs, image and video results, and increasingly conversational interfaces.
So perhaps the better question for leaders is this:
How long will the “search engine” exist in the way we have always understood it?
Search is no longer just an engine. It is becoming a multi-channel, multi-platform, multi-device and multi-modal discovery system.
That does not make search less important. It makes it more embedded in how people find, compare, trust and choose brands.
Here are the key search marketing takeaways for leaders this month.
1. Zero-click search is now a leadership measurement issue
New analysis from SparkToro and Similarweb suggests that fewer than one third of Google searches now result in a click to the open web.
SparkToro reported that 68.01% of Google searches in the first four months of 2026 ended without a click. That is a significant figure for any leadership team still judging organic search mainly by sessions, rankings and website visits.
This does not mean search is declining in importance. It means more of the value is happening before the click.
Users are gathering information from AI Overviews, featured snippets, knowledge panels, maps, shopping results, video previews, social results and other on-platform search experiences. A brand may influence a decision without receiving a visit. It may build trust without a session. It may lose consideration without ever seeing a decline in conversion rate.
For leaders, this means search reporting needs to evolve.
Traffic is still important, but it should sit alongside visibility, branded demand, share of search, commercial query coverage, local presence, reputation signals, assisted conversion, AI citation presence and the quality of visits that do arrive.
Leadership takeaway:
Search performance can no longer be judged by traffic alone. Visibility, trust and demand creation need to become part of the reporting conversation.
2. Google’s AI Search is becoming more measurable and more governable
Google has started rolling out dedicated Search Console reporting for generative AI features, including AI Overviews and AI Mode.
This matters because one of the biggest challenges around AI Search has been the lack of visibility. Brands could see traffic changing, but they could not always see whether they were appearing in AI-led results, what was being shown, or how those appearances related to performance.
The data will not answer everything. It may still be difficult to understand influence, click quality, lost clicks, assisted demand or how often a brand helped shape a decision without a website visit. But it is an important step towards making AI Search part of normal search reporting.
At the same time, Google has also introduced new controls for UK publishers following action from the Competition and Markets Authority. These controls are designed to give publishers more choice over how their content appears in Google’s AI search features.
For most commercial brands, the default ambition will still be to appear in AI-led discovery where relevant. But the wider direction is important. AI Search is becoming a governance topic as well as a marketing topic.
Leadership takeaway:
AI Search should now be part of search governance. Leaders need to understand where the brand appears, how it is represented, what data is available, and whether any control decisions are needed.
3. The May 2026 core update should prompt a proper content and intent review
Google’s May 2026 core update began on 21 May and completed on 2 June.
As always, the temptation after a core update is to look quickly at traffic, identify winners and losers, and decide whether performance is “up” or “down”. That is useful, but it is rarely enough.
The more valuable exercise is to break performance down by intent, section, page type and commercial role.
Which areas gained or lost visibility?
Were changes concentrated in informational content, commercial pages, local pages, product pages or guides?
Did rankings move, or did click-through rates change because the results page itself changed?
Did branded and non-brand search behave differently?
Are weaker pages thin, duplicated, outdated, generic or difficult to differentiate?
Core updates are also useful moments to challenge the role of content across the business. Some organisations are still creating content because they have a calendar to fill. That is increasingly hard to justify. Content needs to earn its place.
The strongest search assets are usually clear, useful, differentiated and commercially relevant.
Leadership takeaway:
Use the May core update as a strategic review point. The aim is not simply to recover rankings, but to understand whether the content estate is still useful, distinctive and aligned to real customer intent.
4. AEO and GEO are being pulled back towards search fundamentals
There is now a lot of language around AEO, GEO, answer engine optimisation, generative engine optimisation and AI search optimisation. Whether you consider it useful, simply a new label on familiar work, or creating unnecessary complexity, its use is definitely becoming more prominent.
Google’s own guidance on generative AI features is helpful because it brings the conversation back to fundamentals. Google’s position is that visibility in AI features is still rooted in strong SEO: useful content, good technical foundations, crawlability, page experience, structured data, strong images and video, accurate business information, and content that provides real value.
Google has also published guidance on evaluating third-party SEO tools and advice. That is timely because a growing number of tools now promise AI visibility tracking, LLM optimisation, answer engine analysis or citation monitoring.
Some of those tools may be useful. They can provide directional insight, highlight visibility gaps and help teams ask better questions. But they should not be treated as complete truth. Third-party tools are still working with partial data, estimates and external observations.
For leaders, the important question is not whether a tool uses new AI terminology. It is whether the tool improves decision-making.
Leadership takeaway:
Treat AEO and GEO as extensions of search strategy, not separate magic channels. Invest in strong digital foundations, and apply scrutiny to any tool or supplier claiming to solve AI visibility.
5. Paid search is moving further into AI-led management
Google has confirmed the continued move from Dynamic Search Ads towards AI Max for Search campaigns.
The transition timeline has shifted and extended in some areas, but the direction remains clear. Paid search is becoming less manual and more AI-led. Campaign performance will increasingly depend on the quality of the inputs businesses provide to the platform. That means conversion data, product feeds, landing pages, creative assets, audience signals, brand controls, exclusions, value rules and commercial goals all become more important.
At the same time, search advertising is moving closer to AI-generated answers and product discovery moments. Ads are increasingly being tested and integrated around AI-led search experiences, shopping recommendations and conversational journeys.
That creates opportunity, but it also increases the need for oversight.
Automation can help scale performance, but only when the platform is being guided by the right commercial signals. A campaign optimised towards poor-quality conversions, weak landing pages or unclear goals can still become more efficient at doing the wrong thing.
Leadership takeaway:
Paid search management is shifting from manual control to strategic input quality. Leaders should focus on data, measurement, commercial value, creative quality and sensible platform controls.
6. Google Display moving into Demand Gen shows search and discovery are converging
Google Display Ads campaigns are moving into Demand Gen, with eligible advertisers able to begin voluntary migration from June 2026. This is another sign that the old channel boundaries are becoming less useful.
Demand Gen brings together placements across YouTube, Shorts, Discover, Gmail, Maps and the Google Display Network. That is not search in the traditional keyword sense, but it is part of the same discovery ecosystem.
Customers do not experience channels in neat boxes. They search, scroll, watch, compare, ask, save, revisit and then search again. A user may discover a brand on YouTube, compare it in Google, check reviews on TikTok or Reddit, return via paid search, and finally convert through direct or brand search.
For leaders, this means media planning needs to reflect the real journey. Search is still highly valuable for capturing intent, but search strategy now needs to connect more closely with demand creation, creative, video, social proof, remarketing and product discovery.
Leadership takeaway:
Search and discovery planning should be more connected. The customer journey is increasingly multi-surface, so measurement and strategy need to reflect how people actually move between platforms.
7. Bing, DuckDuckGo and user choice show search behaviour is fragmenting
Google remains dominant, but the search experience is no longer uniform. Microsoft has introduced ways for Bing users to reduce or disable AI answers, including through a browser extension and query controls. DuckDuckGo has also reported increased interest in its AI-free search experience following Google’s recent AI Search announcements.
This does not mean there is a mass move away from Google. But it does show that different users want different search experiences.
Some want AI summaries.
Some want traditional links.
Some want privacy.
Some want fewer automated answers.
Some will move between tools depending on the task.
This matters because leaders often talk about “the search user” as if behaviour is consistent. It increasingly is not. B2B researchers, ecommerce shoppers, local searchers, younger audiences, technical buyers, privacy-conscious users and high-consideration customers may all search differently.
Leadership takeaway:
Search behaviour is fragmenting. Leaders should understand where their specific audiences search, how behaviour differs by intent, and whether alternative engines or AI-free environments matter in their category.
8. ChatGPT product discovery makes structured product data a search asset
OpenAI is encouraging merchants to share product feeds to improve product discovery inside ChatGPT. This is a major signal for ecommerce and retail brands, but the principle applies more widely. Search visibility is increasingly dependent on structured, accurate and machine-readable data.
For ecommerce brands, product feeds are no longer just a Google Shopping or paid media concern. They are becoming part of AI discovery infrastructure. Titles, product descriptions, prices, images, availability, reviews, delivery information, returns, specifications and product attributes all help platforms understand what should be recommended, compared or surfaced.
For service businesses, the equivalent may be structured service pages, clear propositions, FAQs, case studies, schema, reviews, author expertise, local information and strong third-party references.
The broader point is simple: platforms can only recommend what they can understand.
Leadership takeaway:
Product and service data quality is now a search asset. Better structure improves discoverability across Google, shopping environments, AI assistants and conversational search.
9. AI-referred traffic may be small, but it can be commercially valuable
Adobe’s June report on AI-sourced traffic suggests that AI-referred retail visitors can be highly valuable. The report found that AI-referred visits generated 53% more revenue per visit than non-AI visits. That should get more attention.
AI-referred traffic may not yet represent a huge share of total traffic for many organisations. But the users who do arrive from AI assistants may be more informed, more intentional and closer to action.
Which makes sense - if someone has already used an AI assistant to research, compare, filter and shortlist options, the eventual click may come later in the decision journey. This creates a measurement challenge. AI may reduce some low-intent visits while increasing the quality of the visits that remain. Standard traffic reports may not make that obvious.
Leaders should start separating AI-referred traffic where possible and reviewing engagement, conversion, revenue per visit, lead quality and assisted value.
Leadership takeaway:
Do not judge AI search only by traffic volume. Track the quality and commercial value of AI-referred visits, especially in ecommerce, travel, SaaS, professional services and high-consideration categories.
10. Search readability is becoming commercial infrastructure
A theme runs through many of this month’s updates: the businesses that are easiest to understand are more likely to be surfaced, summarised, cited and selected. That sounds simple, but it has significant implications.
Search readability is not just about writing clearer copy. It includes technical structure, schema, product feeds, page architecture, internal linking, local data, reviews, imagery, video, FAQs, pricing clarity, author signals, business information and third-party proof. It also includes strategic clarity.
What do you do?
Who is it for?
Why should someone trust you?
What makes the offer different?
What evidence supports that claim?
What should the user do next?
If a human struggles to answer those questions after visiting your website, search engines and AI systems may struggle too.
This is where search becomes a leadership issue. Many search problems are really clarity problems. The website is unclear because the proposition is unclear. Content is weak because the audience is too broad. Measurement is noisy because the commercial goal is not sharp enough.
Leadership takeaway:
Search visibility increasingly rewards clarity. Stronger propositions, cleaner data, better content and more credible proof are now part of search performance infrastructure.
Leadership Perspective
The search engine is becoming less like a single destination and more like a connected discovery system. People still search on Google and Bing. They also search through ChatGPT, Gemini, Copilot, Perplexity, YouTube, TikTok, Reddit, Amazon, marketplaces, maps, app stores, product feeds and social platforms.
They search with text, voice, images, video, screenshots and increasingly conversational prompts. That means search strategy needs a broader lens.
The priority for leaders is not to chase every acronym or platform update. It is to build a business that is easy to discover, easy to understand and easy to trust across the places where customers now make decisions.
That requires strong fundamentals:
Clear propositions
Useful content
Accurate data
Technical accessibility
Good product and service information
Strong reputation signals
Sensible paid media controls
Better visibility reporting
A clear understanding of how customers search by intent and platform
Search is still search. But the surfaces, behaviours and measurement signals around it are changing.
The brands that adapt best will not be the ones creating the most content or adopting every new tool. They will be the ones building clearer digital ecosystems that help customers move from question to confidence.
Leader’s Checklist
A few useful questions for leadership and marketing teams this month:
Are we still judging organic search mainly by traffic, or are we also measuring visibility, demand and trust?
Do we know whether AI Overviews, AI Mode or other AI search features are affecting our category?
Are we separating branded, non-brand, informational, local and commercial search performance?
Have we reviewed the impact of the May 2026 core update by section, intent and page type?
Are our AEO and GEO conversations grounded in search fundamentals, or are we being distracted by terminology?
Are third-party AI search tools helping us make better decisions, or simply adding more noise?
Are our paid search campaigns supported by strong conversion data, landing pages, creative and commercial goals?
Are search, social, video, display and discovery being planned together where customer journeys overlap?
Are our product feeds, structured data, reviews and business profiles accurate and complete?
Are we tracking AI-referred traffic from platforms such as ChatGPT, Gemini, Copilot and Perplexity?
Is our website easy for both humans and machines to understand?
Are we clear on how our brand is being represented across AI search and answer environments?
Final Thought
The leadership question is becoming bigger than “where do we rank?”
A better question is:
Where are we visible, understood, trusted and chosen?
That is the next phase of search marketing.
Useful links
SparkToro: In 2026, Less than One Third of Google Searches Still Send a Click: https://sparktoro.com/blog/in-2026-less-than-one-third-of-google-searches-still-send-a-click/
Similarweb: Zero-Click Marketing: What the 2026 Data Means: https://www.similarweb.com/blog/marketing/geo/zero-click-marketing/
Google Search Central: Introducing Search Generative AI performance reporting in Search Console: https://developers.google.com/search/blog/2026/06/gen-ai-performance-reports
Google: New opportunities, control and insights for website owners: https://blog.google/products-and-platforms/products/search/new-controls-website-owners/
UK Competition and Markets Authority: CMA secures fairer deal for publishers and improves Google Search services in the UK: https://www.gov.uk/government/news/cma-secures-fairer-deal-for-publishers-and-improves-google-search-services-in-uk
Reuters: Google must let UK publishers opt out of AI Search features: https://www.reuters.com/legal/litigation/uk-regulator-enforces-new-competition-requirements-google-search-2026-06-03/
Google Search Status Dashboard: May 2026 Core Update: https://status.search.google.com/incidents/wdAXJk6LRRihEjpzEeWE
Google Search Central: Google’s guide to optimising for generative AI features: https://developers.google.com/search/docs/fundamentals/ai-optimization-guide
Google Search Central: Evaluating third-party SEO tools and advice: https://developers.google.com/search/docs/fundamentals/third-party-seo
Google: Dynamic Search Ads upgrade to AI Max for Search campaigns
https://blog.google/products/ads-commerce/dsa-upgrade-to-ai-max-2026/
Google Ads Developer Blog: DSA migration timeline update: https://ads-developers.googleblog.com/2026/06/
Google Marketing Live 2026 Collection: https://blog.google/products/ads-commerce/google-marketing-live-2026-collection/
Google Ads Help: Google Display Ads campaigns have a new home in Demand Gen: https://support.google.com/google-ads/answer/17051545
Google Ads Help: About Demand Gen campaigns: https://support.google.com/google-ads/answer/13695777
Windows Central: Bing introduces ways to disable Copilot AI answers: https://www.windowscentral.com/microsoft/bing/microsofts-search-lead-unveils-a-bing-kill-switch-for-copilot-ai-answers
TechCrunch: DuckDuckGo installs are up as users react to Google’s AI Search changes: https://techcrunch.com/2026/05/26/duckduckgo-installs-are-up-30-as-users-reject-being-force-fed-googles-ai-search/
TechCrunch: DuckDuckGo makes its no-AI search engine easier to access: https://techcrunch.com/2026/06/01/duckduckgo-makes-its-no-ai-search-engine-easier-to-access-as-its-traffic-booms/
OpenAI: Powering Product Discovery in ChatGPT: https://openai.com/index/powering-product-discovery-in-chatgpt/
OpenAI: ChatGPT for Merchants: https://chatgpt.com/merchants/
OpenAI Help: Shopping with ChatGPT Search: https://help.openai.com/en/articles/11128490-shopping-with-chatgpt-search
Adobe: Q3 2026 AI-Sourced Traffic Insights: https://business.adobe.com/resources/sdk/.q3-ai-traffic-trends-report/q3-2026-ai-sourced-traffic-insights.pdf
Reuters: AI-referred US shoppers browse longer and spend more per visit, Adobe data shows: https://www.reuters.com/business/media-telecom/ai-referred-us-shoppers-browse-longer-spend-more-per-visit-data-shows-2026-06-15/
