Google unveiled updates to their search experience last week at its annual developer conference. The theme that emerged was (surprise, surprise) AI agents.
They’re beefing up Gemini’s functions in traditional search. Their CEO really wants us to know that this ain’t your grandma’s Google.com.
Basically, Google will continue to look more and more like ChatGPT and Claude. Let’s talk about what it means for organic search and content.
“Search, as we know it, is over!”
Not quite. It’s a catchy headline that industry folks are pushing but I disagree.
Search “as we know it” has included AI components for a few years now. If you’re at all familiar with Gemini, Claude, ChatGPT, CoPilot, Perplexity then you know what to expect from Google’s latest updates.
Of course, the lion’s share of all search traffic still comes from Google.com. So, when that channel adds more AI features, AI enablement becomes table stakes. In that sense it’s a very significant shift.
We already know what AI search looks like
Like any channel, AI has unique rules and habits and this is one of them: AI discourages click-through. It’s true for Claude and ChatGPT as much as Gemini and even AI Overviews.

These structural factors are worth remembering as AI continues to grow more prominent in search experience.
- AI will answer as many questions as it reasonably can. Basic, definitional answers are easy for AI to provide. More complex answers are also addressed, too, no matter how sketchy those answers might be.
- Accuracy is never a given. AI is building its answers from whatever information it locates. When it’s pulling from old, incorrect info, it’s providing outdated, false answers.
- Users seem to find AI answers satisfactory enough. The drop in click-through rate since the implementation of Overviews speaks to that fact.
AI enablement isn’t about trying to work around these factors. The goal is not to hack your way into the click volume of the SEO era. Instead, we’re working with unique elements of this channel.
Here are a few examples of what I’m talking about.
Off-topic content is increasingly a liability
One-off content and goofy clickbait might have won you some points in the SEO era but now it’s more risk than reward.
Tangential content muddles your AI presence. There’s no predicting which content AI will use to make sense of your brand. Every page needs to have a clear connection to your core product messaging.
High-quality content can be even more dangerous if it’s off-topic. If you’ve published extremely popular, deep-dive guides on topics that are no longer relevant to your brand, AI is likely to focus on this material when it describes your brand to users.
It’s all diverting resources from truly effective content. We all have a lot of foundational content to create for these new AEO and GEO ecosystems. There’s really no time for distractions.
By “random” I mean any piece of content that doesn’t relate clearly to your product and your value prop.
Attribution is messier than ever
Attribution from established AI search platforms, like ChatGPT and Claude, has proven to be muddy at best and opaque at worst. No big platform has released any real first-party data, except for Bing.
So we have to find useful data where we can.
- Identify the questions that your audience is asking AI. You can glean some of this data from Google Search Console. (Claude searches longtail queries in Google in order to provide answers for its users.)
- Quantify the frequency of your brand mentions. How often does GPT mention your brand when answering those strategic questions?
- Keep an eye on direct traffic. Traffic from AI is often poorly labeled. It winds up in the “direct traffic” bin. A sudden surge in direct traffic is often linked with a surge in AI search mentions.
In the absence of first-party data, these data sources become vital performance indicators. They’ll be even more vital if Gemini takes over a significant portion of Google searches.
Keep calm and stay systematic
All of this stuff is moving so damn fast. It’s easy to get caught up in the hype and the fear cycles.
One thing that has remained constant: the companies that thrive are the ones who stay focused on consistently publishing high-quality content that solves problems for their audience.

Amid the latest hype cycle, Google quietly published this guide: “Optimizing your website for generative AI features on Google Search”. The suggestions they make are basically the same ones they’ve been making for years:
- Provide a unique point of view
- Create non-commodity content that's helpful, reliable, and people-first
- Non-commodity content
- Organize content in a way that helps your readers
- Focus on what your users want, and avoid overdoing it.
- If you're using generative AI tools to assist in content creation, make sure your work meets Search Essentials and Google's spam policies.
Optimizing for the latest trend is great but it only works if it’s layered on top of a repeatable strategy. A repeatable strategy is built on a thoughtfully engineered system. (Soon the system will go beyond individual pieces of content to include agentic-friendly website design but that is a post for another day.)
I remain (cautiously) optimistic
Some of these shifts have been useful, in my opinion. Yes, overall traffic from search has declined in recent years. And yet conversion volume has held strong for nearly every company I know.
So the traffic lost was largely junk traffic: visitors who weren’t actually in your target audience. This, to me, is actually a sign of the system getting more efficient. Search is qualifying traffic for every website in a way that it couldn't in the SEO era.
Of course, none of these innovations are purely altruistic. When AI Overviews started eating people’s traffic in 2024, Google also started cluttering their SERP pages with ads. So the “AI revolution” alone was not to blame for that drop in click-through rate. Ad revenue was, too.
That’s another lesson we all have to periodically re-learn: Google’s top priority is always Google.

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