AI Assistants Are Here (And They’re Doing the Searching for Us)
Here’s the truth: most people aren’t “Googling” the way they used to.
They’re asking questions and having conversations, and expecting tools to summarize the web for them. That’s where AI assistants come in.
Google’s AI Overviews, AI Mode, ChatGPT, Perplexity, Claude, Gemini, Copilot… they’ve changed the shape of search. Instead of giving users a list of links, they’re giving them what sounds like a helpful friend’s summary of the internet.
And if your content doesn’t get through? It might as well not exist.
How These AI Assistants Are Pulling Content
They don’t scroll. They scan, understand, and assemble.
- AI Overviews pull pieces from multiple sources to answer the whole question.
- AI Mode invites follow-up questions and shifts the SERP into a live conversation.
- ChatGPT, Perplexity, and others are browsing in real time and citing the content they trust.
- Claude and Gemini are pulling from both what they’ve learned and what’s live.
They’re looking for pages that are clear, structured, and credible, not flashy or keyword-stuffed. If your content is well-formed, easy to follow, and rich with meaning, you’re more likely to get picked up. If it’s buried behind JavaScript or buried under fluff? Not so much.
What We (as SEOs) Can Do About It
This moment doesn’t need panic. It needs precision.
Here’s how I’m thinking about it and what I’m doing, testing, doing – you know what I mean:
1. Build for semantic search: We’re way past matching keywords. Now it’s about helping AI understand what connects to what.
- Group content by topic, not just volume
- Use schema that teaches, not just tags
- Link like a librarian, show relationships, not just paths
Semantic structure helps assistants understand not just what your content says, but how it fits into the broader picture.
2. More Than Googlebot: It’s not just one crawler anymore. We’ve got GPTBot, PerplexityBot, ClaudeBot, and more crawling our sites.
- Check your robots.txt – don’t block the new crawlers by default
- Keep your HTML lean and clean
- And please, watch the JavaScript. If your content’s hidden behind a JS curtain, half the bots can’t even see it
If we want AI to feature us, it has to be able to read us..
3. Format like you want to be pulled into the answer: You want your content to be quotable. Not just readable.
- Start with the answer
- Use real subheadings (no clever fluff, just clarity)
- Structure content like a cheat sheet: bullets, lists, short blocks of thought
Think “source material,” not just “storytelling.”
4. Make Sure the Machines Know You: It’s not enough to exist – you need to be understood.
AI assistants pull from what the web says about you. If your brand shows up inconsistently, vaguely, or only in your own words? That’s a problem.
Here’s what I’m doing to fix that:
- Making sure our brand name, services, and expertise are clearly stated on our site and everywhere else
- Getting mentioned in the right context: guest posts, podcasts, directories, niche communities, places where our name adds weight to a topic
- Aligning social bios, knowledge panels, and citations so LLMs don’t have to guess what we do (because they’ll guess wrong)
Think of it as building your entity profile, not just for Google, but for every assistant, crawler, and model that’s trying to figure out who you are and whether you’re worth quoting.
When they know you and know what you do, you’re far more likely to show up in the answer.
Final Thoughts
This next phase of SEO isn’t about chasing rankings, it’s about shaping presence. We’re designing content that’s structured, understandable, and unmissable, whether a human reads it or an assistant pulls it into an answer.
So here’s the mindset shift: We’re not just writing for users. We’re building a brand the machines recognize and the people trust.