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Google Is Adding More Links to AI Search. It Is Still Not Giving Publishers Click Data.

Google is building a better front door for AI search. It is just not giving anyone the keys to measure who is walking through it.

Filip Ivanković··2 min read
2 min read

Google added more link surfaces to its AI Search experience this week. Inline links now appear next to specific claims. Desktop users see hover previews. Navigation suggestions at the end of responses guide users to related content.

What Google did not add: any new reporting for publishers on how their content performs inside AI responses.

Studies continue to show that click-through rates drop when AI responses appear in search results. Publishers can see their content cited in AI Overviews, but they cannot measure how many clicks those citations generate. Search Console reports do not distinguish between clicks from traditional results and clicks from AI responses.

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New click metrics Google has provided publishers for AI Search citations since the feature launched

Why it matters

The gap between visibility and measurability in AI search is widening. Google is clearly responding to publisher criticism by adding more links and making AI responses less of a dead end. But without click data, publishers cannot optimise for AI search the way they optimise for traditional search.

This creates a strategic blind spot. You might appear in AI Overviews for your most valuable queries, but you have no way to know how much traffic that citation drives. You cannot A/B test titles, descriptions or content approaches for AI search visibility because there is no feedback loop.

For Australian businesses investing in content marketing, this matters because resource allocation decisions depend on measurable returns. If organic search traffic drops due to AI Overviews but you cannot measure the offsetting value of AI citations, you are making budget decisions with incomplete data.

The broader concern is structural. AI search is consuming traditional search volume, and the replacement traffic model has no measurement layer. Publishers are being asked to trust that AI citations drive value without any tools to verify it.

What to do about it

Track branded search volume as a proxy. If AI Overviews cite your content, you may see increases in branded queries as users discover your site through AI responses.
Monitor Search Console impressions separately from clicks. Rising impressions with flat clicks may indicate AI Overview citations consuming traditional click-through.
Build direct traffic channels. Email, social and community channels give you measurable engagement data that AI search cannot obscure.
Advocate for transparency. Industry groups and publisher coalitions are pushing Google for AI-specific reporting. Adding your voice matters.

Google is making AI search more link-friendly. That is progress. But until publishers can measure the value of those links, the relationship between AI search and content investment remains one-sided.

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Filip Ivanković
Filip IvankovićFounder, New Rebellion

10+ years leading performance marketing across agencies and in-house teams in Australia. Writes about the gap between marketing activity and commercial outcomes, and what it takes to close it.

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