In 2026, machine-led experiences are shaping search from end to end. Now, visibility depends on how well your data and content can be interpreted and surfaced instantly across platforms.
Three recent developments are clearly signalling where things are heading: the rise of AI-powered shopping interfaces, Google Search Console’s new annotation feature, and Adobe’s reported acquisition of Semrush. Search is becoming more integrated, more automated, and more reliant on structured inputs and cross-channel insight.
For brands and marketers, the implication is clear. Success is less about chasing individual tactics and more about building systems that are accurate, testable and adaptable across platforms.
For shoppers, AI allows product discovery to be moved directly into the interface itself. Instead of sending users to multiple sites, these systems pull together product details, pricing and availability in one place, shaping decisions before a click ever happens.
This shift changes what visibility looks like. Now, your products need to be understood, compared, and selected by machines, which means structured data, accurate feeds, and clear, comparison-led content all play a bigger role in whether you make the shortlist.
The result is a move towards fewer clicks and more decisions happening within search or AI interfaces. For marketers, this compresses the journey, and raises the bar for how quickly and clearly your product information can perform.
To stay competitive, product visibility needs to be approached as both a technical and content challenge. The key priority for brands responding to AI shopping advancements should be:
“If you aren’t winning in those initial appearances and breakdowns, then you’re going to have to work a little bit harder to break through what would have been a preference for someone else.”
– Ryan Williamson, Associate Senior SEO Manager
For shoppers, AI allows product discovery to be moved directly into the interface itself. Instead of sending users to multiple sites, these systems pull together product details, pricing and availability in one place, shaping decisions before a click ever happens.
This shift changes what visibility looks like. Now, your products need to be understood, compared, and selected by machines, which means structured data, accurate feeds, and clear, comparison-led content all play a bigger role in whether you make the shortlist.
The result is a move towards fewer clicks and more decisions happening within search or AI interfaces. For marketers, this compresses the journey, and raises the bar for how quickly and clearly your product information can perform.
To stay competitive, product visibility needs to be approached as both a technical and content challenge. The key priority for brands responding to AI shopping advancements should be:
“If you aren’t winning in those initial appearances and breakdowns, then you’re going to have to work a little bit harder to break through what would have been a preference for someone else.”
– Ryan Williamson, Associate Senior SEO Manager
Google Search Console has just launched a new “annotations” feature, which gives marketing teams a much simpler way of getting performance insights.
Instead of tracking events (like traffic peaks and troughs) separately, you can now mark key events directly on performance charts. This makes it far easier to understand what might have caused changes in traffic, clicks or rankings.
Annotations can be helpful to bring clearer insight to:
This update transforms Search Console from a reporting tool into an interactive working timeline. Our in-house expert, Ryan, suggests taking things further by combining annotations with segmentation in order to link activity directly to outcomes. This could look like:
| View | Insight |
| Branded vs non-branded queries | Understand whether growth is driven by demand or visibility |
| Page-level performance | Identify which content changes led to impact (or which content is driving growth) |
| Device or location splits | Spot where changes are having the strongest effect |
“Data underpins everything that we do. So, making sure that we have a very clear story helps us understand where the work is really making an impact.”
– Ryan Williamson, Associate Senior SEO Manager
Lastly, SEO industry giant, Semrush, has been acquired by Adobe for nearly $2bn, signalling the growing importance of optimisation data within wider marketing platforms.
This acquisition is less about consolidation than it is about direction. Search is quickly moving away from simple rankings, and the tools that support it (like Smerush’s AI insights) are becoming more integrated with content, creative, and performance workflows.
“This massive investment from Adobe suggests that SEO is not dead. There is value here. Semrush does a very good job of breaking out data and segmenting audiences. Adobe is really investing in this space. There is still plenty of reason to believe in SEO.”
– Ryan Williamson, Associate Senior SEO Manager.
AI shopping narrows the funnel into fewer, more decisive touchpoints. That compresses the time and channels you have to persuade. Technical hygiene (like schema, accurate feeds, and review data) becomes a competitive moat. Content moves from long-form rankings to structured, comparison-led persuasion. Paid channels become the quickest way to test the new prompts that will feed into AI recommendations.
In the next few months, as these industry shifts continue to occur, marketers should:
Lastly, SEO industry giant, Semrush, has been acquired by Adobe for nearly $2bn, signalling the growing importance of optimisation data within wider marketing platforms.
This acquisition is less about consolidation than it is about direction. Search is quickly moving away from simple rankings, and the tools that support it (like Smerush’s AI insights) are becoming more integrated with content, creative, and performance workflows.
“This massive investment from Adobe suggests that SEO is not dead. There is value here. Semrush does a very good job of breaking out data and segmenting audiences. Adobe is really investing in this space. There is still plenty of reason to believe in SEO.”
– Ryan Williamson, Associate Senior SEO Manager.
AI shopping narrows the funnel into fewer, more decisive touchpoints. That compresses the time and channels you have to persuade. Technical hygiene (like schema, accurate feeds, and review data) becomes a competitive moat. Content moves from long-form rankings to structured, comparison-led persuasion. Paid channels become the quickest way to test the new prompts that will feed into AI recommendations.
In the next few months, as these industry shifts continue to occur, marketers should:
AI shopping, platform updates and industry investment all point in the same direction. Optimisation still matters, but it now sits at the intersection of data, content, and performance.
For brands, the priority is clear. Build systems that are accurate, testable and adaptable, and ensure your products are ready to be surfaced, compared and selected in AI-driven environments.
If you want a practical, sector-specific plan to keep your products in the AI short-list, reach out to Sleeping Giant Media today.
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