SEO Isn’t Dead, But It’s Changing: Why You Need to Optimise for AI Search (Now)
Search is evolving - fast. For two decades, SEO has revolved around Google’s algorithm: keywords, backlinks, metadata, and page speed. But with the...
3 min read
Chris Fell
04/07/2025 11:20:55 AM
Search is evolving - fast.
For two decades, SEO has revolved around Google’s algorithm: keywords, backlinks, metadata, and page speed. But with the rise of AI-powered search tools like ChatGPT, Google’s Search Generative Experience (SGE), Perplexity, and Claude, users aren’t just typing keywords anymore—they’re having conversations.
And that shift changes everything.What Is AI Search?
AI search refers to how generative AI models (like ChatGPT or Gemini) answer questions and retrieve information using large language models (LLMs) rather than simply serving up a list of links. Instead of searching “best CRM software for B2B” and scanning 10 blue links, users now ask:
“What’s the best CRM for a growing B2B company with limited sales resources?”
And the AI might answer:
“HubSpot is a strong choice for B2B companies due to its ease of use, CRM + marketing integration, and automation capabilities.”
That summary might link to your website or your competitor’s. That will depend on what the AI can find and understand about your business.
Because AI search doesn’t work like Google search.
Traditional SEO vs. AI Search:
Traditional SEO: | AI Search: |
Based on keyword relevance + links | Based on understanding context + structured data |
Ranks content using page rank, domain authority, and freshness | Uses a “trust score” from AI model training |
Outputs links to click | Outputs direct answers, summaries, and citations |
Optimised through technical SEO, content keywords |
Optimised through schema markup, plain-language copy, and structured knowledge |
Not even close. Traditional SEO is still crucial - Google isn’t going away. But AI is now the layer on top of search, and that means you can no longer rely on ranking #1 in Google. You also need to rank in the mind of the AI.
We recommend approaching this in stages:
This is structured code that helps AI understand your content (like what your product does, who your audience is, what your reviews say). Use schema.org markup for:
AI models prefer natural, conversational phrasing. So, for example:
“We help B2B companies grow using CRM automation”
Rather than what we might say with SEO. For example:
“CRM software, Sydney, B2B solutions, growth.”
Practical Tip:
Use tools like ChatGPT to ask:
“How would you summarise my homepage for a buyer in plain English?”
Then adjust your site copy accordingly.
Use your blog posts to answer very specific niche questions like:
“How do I migrate from Salesforce to HubSpot?”
“What’s the ROI of a B2B CRM for small sales teams?
AI tools learn from high-authority, well-structured, public content. So:
Practical Tip:
Check your site’s robots.txt to make sure AI bots are allowed to crawl your pages.
Q: What is AI search and how is it different from Google Search?
A: AI search uses language models to generate natural answers instead of listing links. It's more conversational and understands context rather than just keywords.
Q: Do I need to stop doing traditional SEO?
A: Not at all. Traditional SEO is still essential for visibility on Google, but AI search is now an added layer. You should run both strategies.
Q: What can I do today to improve my AI search presence?
A: Use schema markup, write naturally, publish content that answers real questions, and ensure AI bots can crawl your site.
Bonus:
Q: Should You Let AI Bots Crawl Your Site?
A: Yes - If you want to show up in AI answers.
Tools like OpenAI’s GPTBot and PerplexityBot are indexing the web to train and improve AI responses. Blocking them = invisibility. If you want to check if your site is crawlable by AI bots? Visit: https://www.robotstxt.org/ and test your configuration.
For now, think of SEO and AI search as two lanes on the same highway.
Don’t ditch your SEO strategy. Just expand it.
Here’s what we recommend:
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