Search is changing… again. And, yes, AI is still at the forefront of every shift and development.
As generative search becomes the norm, platforms are now beginning to show how content appears inside AI answers, while conversational interfaces are introducing new advertising formats. At the same time, AI summaries within search engines continue to evolve, influencing how users discover information and whether they click through to websites.
Recent updates from Microsoft, Google, and OpenAI show how quickly the search landscape is shifting – and these developments signal a broader change in how visibility is earned online. Rankings and impressions still matter, but marketers also need to consider how their content is cited, surfaced and monetised within AI-driven experiences.
Bing’s AI Performance report offers the first reliable way for marketers to see when their content is cited within AI-generated answers.
Microsoft has introduced an AI Performance report in Bing Webmaster Tools that shows when content is referenced in Copilot, Bing AI summaries, and partner integrations. The report provides page-level and query-level insights, allowing publishers to see how their content participates in generative answers.
This represents a shift from the previous approach that many marketers relied on. Until recently, visibility within AI responses was estimated through prompt testing or third-party tools. First-party reporting now provides clearer evidence of when and where a page is cited.
Citation data introduces a new measurement layer for search performance, which means that:
Generative systems often favour content that is structured clearly and supported by evidence. Pages that present reliable information in a readable format are more likely to be referenced.
“It’s about visibility at this point. It’s about making sure that you’re both able to trust the AI or the AI is able to trust you.”
– Ryan Williamson, Associate Senior SEO Manager
Bing’s AI Performance report offers the first reliable way for marketers to see when their content is cited within AI-generated answers.
Microsoft has introduced an AI Performance report in Bing Webmaster Tools that shows when content is referenced in Copilot, Bing AI summaries, and partner integrations. The report provides page-level and query-level insights, allowing publishers to see how their content participates in generative answers.
This represents a shift from the previous approach that many marketers relied on. Until recently, visibility within AI responses was estimated through prompt testing or third-party tools. First-party reporting now provides clearer evidence of when and where a page is cited.
Citation data introduces a new measurement layer for search performance, which means that:
Generative systems often favour content that is structured clearly and supported by evidence. Pages that present reliable information in a readable format are more likely to be referenced.
“It’s about visibility at this point. It’s about making sure that you’re both able to trust the AI or the AI is able to trust you.”
– Ryan Williamson, Associate Senior SEO Manager
In a continuation of the zero-click search trend, AI Overviews are decreasing CTRs further. However, search engines are beginning to experiment with ways to highlight source content.
Search behaviour has already been shifting towards answers delivered directly within the results page. SparkToro’s 2024 research found that between 58-60% Google searches end without a click, meaning the user receives the information they need without visiting a website.
AI-generated summaries contribute to this pattern by providing consolidated answers above traditional results.
But, recently, Google has started adjusting the design of AI Overviews and AI Mode to make source attribution more visible. Expanded previews (called “hover cards”) allow users to see which sites contributed to the information before deciding whether to click through. This approach reflects an attempt to balance convenience with transparency, helping users understand where the information originates.
The way content is structured can influence whether it is cited in AI summaries.
Areas worth prioritising include:
Content teams should also begin monitoring new metrics, such as citation impressions and citation-to-click ratios, alongside traditional click-through rates.
“It’s Google showing their workings a little bit.”
– Luke Quilter, CEO
Advertising inside conversational AI platforms introduces a new stage of competition for commercial queries.
OpenAI has begun testing advertising placements within ChatGPT for free and Go-tier users in the United States. Early indications suggest ads appear beneath responses when users submit prompts with purchase intent, while purely informational prompts remain less commercialised.
This development suggests that conversational AI platforms will develop advertising ecosystems similar to traditional search engines.
These changes reinforce the need for closer coordination between organic and paid strategies. At this stage, paid and organic teams should:
As AI search experiences expand, the boundaries between SEO and paid media continue to blur.
“It’s all interlinked, probably more so than ever before […] teams now have to work so closely together.”
– Ryan Williamson, Associate Senior SEO Manager
The way content is structured can influence whether it is cited in AI summaries.
Areas worth prioritising include:
Content teams should also begin monitoring new metrics, such as citation impressions and citation-to-click ratios, alongside traditional click-through rates.
“It’s Google showing their workings a little bit.”
– Luke Quilter, CEO
Advertising inside conversational AI platforms introduces a new stage of competition for commercial queries.
OpenAI has begun testing advertising placements within ChatGPT for free and Go-tier users in the United States. Early indications suggest ads appear beneath responses when users submit prompts with purchase intent, while purely informational prompts remain less commercialised.
This development suggests that conversational AI platforms will develop advertising ecosystems similar to traditional search engines.
These changes reinforce the need for closer coordination between organic and paid strategies. At this stage, paid and organic teams should:
As AI search experiences expand, the boundaries between SEO and paid media continue to blur.
“It’s all interlinked, probably more so than ever before […] teams now have to work so closely together.”
– Ryan Williamson, Associate Senior SEO Manager
| Signal | What it shows | Where it comes from | Why it matters |
| Third-party prompt tracking | Simulated AI responses | SEO tools and prompt testing platforms | Useful for hypothesis testing |
| First-party AI citations | When content appears in generative answers | Bing Webmaster Tools AI Performance | Reliable citation visibility |
| AI Overview source previews | Which passages are surfaced | Google AI Overviews interface | Opportunity to capture attribution |
| Conversational ads | Paid placements within AI responses | ChatGPT ad tests and platform announcements | Protect visibility for commercial prompts |
Increasingly, success in AI search requires shared strategies across SEO, paid media and content teams.
Several practical steps can help teams adapt:
Key takeaway: visibility within AI systems depends on coordinated strategies rather than isolated channel optimisation.
The dominance of generative answers in search means that visibility is not only about rank position, but citation presence. Brands should ideally start treating AI citations as a primary KPI now: audit which pages are being cited, optimise content to be citation-ready, and align paid spend to protect commercial prompts.
If you want help turning citation data into an action plan, Sleeping Giant Media combines SEO, PPC and Paid Social expertise to map visibility across search, generative and paid channels. Contact our team to review your strategy and build a measurable plan today. And, for more marketing updates, keep up to date with our blog.
Increasingly, success in AI search requires shared strategies across SEO, paid media and content teams.
Several practical steps can help teams adapt:
Key takeaway: visibility within AI systems depends on coordinated strategies rather than isolated channel optimisation.
The dominance of generative answers in search means that visibility is not only about rank position, but citation presence. Brands should ideally start treating AI citations as a primary KPI now: audit which pages are being cited, optimise content to be citation-ready, and align paid spend to protect commercial prompts.
If you want help turning citation data into an action plan, Sleeping Giant Media combines SEO, PPC and Paid Social expertise to map visibility across search, generative and paid channels. Contact our team to review your strategy and build a measurable plan today. And, for more marketing updates, keep up to date with our blog.
This article breaks down what actually matters when it comes to modern tracking, including: what Google Tag Gateway is, how it compares to server-side tagging, and what marketers should prioritise right now to protect performance.
Search is changing quickly. AI answer engines are starting to handle queries directly, reducing the need for users to click through to websites. For marketing teams, this creates a shift that goes beyond SEO. It changes how performance is measured, how attribution works, and how success should be defined.
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.
