[Written by Guest Blogger & FreshJuice Founder/Software Engineer Alex Zappa]
As you know, search has changed. For decades, the game was making Google happy with keywords, backlinks, and schema markup to win rich snippets.
But now, users frustrated with endless ads and cluttered SERPs are shifting to AI-powered answers from ChatGPT, Gemini, and the like. And with that shift, a new discipline has emerged we must learn: AIEO (Artificial Intelligence Engine Optimization), aka AEO, GEO, etc.
Here's how AIEO differs from classic SEO, and where HubSpot stands currently with AI-driven search.
On the surface, AIEO may appear to be an “SEO rebrand.” After all, they both rely on structured data, clean markup, and backlinks. The key distinction however is that:
When AI platforms answer questions, they don't just reveal ten blue links; they summarize, reason, and attach citations. The goal of AIEO is to make sure your site appears in those citations.
Behind the curtain, AI search engines still “parse” content much like Google always has. The mechanics haven’t disappeared. Crawlers still scan your pages, structured data still matters, and backlinks still count.
The big difference?
AI systems go deeper. They:
Still, these engines aren’t as “smart” as people think. Like children learning to read, they need hints. You must explicitly tell them:
This is where good old-fashioned SEO schema markup becomes highly relevant again.
Google has recommended JSON-LD (a specific format that implements schema markup) for more than a decade to ensure you create a structured snapshot of your content. But now, you need both JSON-LD and inline microdata.
Why?
Because AI search engines read content differently:
Use inline microdata whenever possible—it remains the most reliable and crawl-friendly option for AI and search engines alike.
If your site is a dynamic application where content is rendered or loaded asynchronously, then you can rely on JSON-LD as a fallback to ensure structured data is still discoverable.
As of September 2025, HubSpot’s built-in Schema Markup for blogs is still in beta (launched Sep-2022). It’s functional but limited.
If you want serious AIEO results, my recommendation is:
I encourage you to check out the foundations of HubSpot structured data through my post: How to Use Structured Data (Schema Markup) in HubSpot to Improve SEO. The flexibility outlined ensures your content speaks the same language as both Google and AI crawlers.
The short answer is: SEO fundamentals still apply, including:
Imagine your company sells fresh juice, which you detail the benefits of on your website. Your next steps should be to:
AI engines will now recognize your site as the primary source of truth, and, the next time someone asks ChatGPT, “Is fresh juice good for you?”, there is a much better chance it will highlight your company’s site as an authoritative reference.
These tips aren't just theory. Look at how some leading companies are incorporating the approach:
The common thread: companies are no longer just writing product blog posts. They’re building media properties that create organic backlinks, trusted references, and long-lasting authority, all of which AI engines lean on when selecting citation sources.
So, does AIEO kill SEO?
Not really.
SEO is evolving, not dying.
You now need to regularly communicate with AI engines by shaping your content so that AI crawlers and models can:
SEO got us rankings, but AIEO gets us citations inside AI answers. That’s the evolution.
In short: Produce genuinely valuable content, support it with schema, and let the AI engines know exactly what you’re about.
May the 4th be with you,
Alex