What Actually Ranks in Google’s AI Search Results
From Google’s Vice President of Product
Written by: Simon Kelly
The search landscape is shifting faster than ever. With Google weaving AI into nearly every part of its search experience, the old “10 blue links” model is fading.
Now, your content isn’t just competing for a spot on page one, it’s competing to be summarised, cited, and surfaced by AI itself.
What does that mean for your SEO strategy?
It means the fundamentals or SEO still matter, but the bar for quality, clarity, and originality has never been higher.
5 SEO Factors For Ranking in Google’s AI Mode
In a recent interview, Google’s Vice President of Product for Search, Robby Stein, shared five key factors that determine whether a website meets Google’s quality and helpfulness standards in the age of AI search.
These insights reveal exactly what Google’s systems (and its AI models) are looking for when deciding which content to feature.
Here’s our expanded take on each factor and how you can apply it.
1. Does your content directly answer the question?
AI search thrives on relevance.
When users ask a question, Google’s AI looks for content that provides a clear, direct answer it can quote or summarise.
Structure your content with headings and FAQs that mirror real search queries. Ask the question, then answer it immediately and concisely.
Avoid filler content as AI models are trained to detect and skip fluff.
2. Is it high quality?
Quality is no longer subjective. Google measures it through engagement signals: how long people stay on your page, how often they return, and how many other sites link to your content.
To improve these metrics, focus on readability, design, and depth.
Use visuals, examples, and internal links to keep readers engaged.
The longer they stay and the more they return, the more Google’s AI learns that your content is worth recommending.
3. Does it load quickly?
Speed is a silent ranking factor that impacts both human and AI perception.
A slow site frustrates users and signals poor technical quality.
Test your site regularly with tools like GTmetrix and Google PageSpeed Insights.
Optimise images, enable caching, and prioritise mobile performance. Remember, AI search often pulls from mobile-first indexing.
So if your mobile site speed lags, your visibility will too.
4. Is it original?
Anyone can generate content with ChatGPT or Gemini, but AI-generated text alone is just a remix of existing information.
Originality is your biggest differentiator.
To stand out, inject your own experience, including case studies, customer stories, data, and opinions. Include photos, videos, and quotes that only your business can provide.
This human layer is what signals true expertise and authenticity.
5. Does it cite sources?
Citing credible sources builds trust with both readers and algorithms.
When you link to authoritative references, you strengthen your content’s reliability and help AI engines map your site within a trusted information network.
Use citations for statistics, research, and claims. It’s not just good practice, it’s a visibility multiplier in AI-driven search.
The Key Takeaway: Invest in Quality Content
If people click your content, find value in it, and return to it, that content will continue to rank whether in traditional search results or AI-generated summaries.
The same principles that built SEO still apply, but now they’re amplified by AI’s ability to evaluate context, authority, and usefulness at scale.
The future of SEO is about creating content that genuinely helps people and earns trust.
Do that consistently, and you’ll rank in both the search results and the AI answers that shape them.
