Ran a quick test yesterday that annoyed me: pulled up Perplexity and asked for "best practices for B2B content marketing in 2024." My own post on this — which ranks #1 on Google for a related keyword — didn't show up in the top 5 sources cited. Not even close. That's when it clicked: traditional SEO isn't enough anymore if you want visibility in AI-generated answers.
I've been digging into GEO (Generative Engine Optimization) for the past month, and here's what's actually working versus what's just hype.
The Core Difference
Traditional SEO asks: "Will Google rank my page?" GEO asks: "Will an AI model cite my content when answering a question?" These are related but not identical. You can rank well and never get cited, or get cited without ranking on page one.
> GEO is the practice of structuring content so that AI models (ChatGPT, Perplexity, Gemini) recognize it as a credible, citable source for specific queries.
What I Tested
I took 10 existing blog posts and applied three specific changes:
1. Added explicit answer summaries — a 2-3 sentence bolded answer at the top of each post, directly answering the primary question
2. Included author credentials — real names, real experience, real context about why the author is qualified
3. Structured data with clear attribution — cited specific studies, included publication dates, named sources
After 3 weeks, 6 of those 10 posts started appearing as cited sources in Perplexity and ChatGPT responses. The 4 that didn't change? Still invisible.
The Numbers
Posts with explicit answer summaries got cited 3x more often than those without. Author credentials doubled citation likelihood. Clear data attribution (specific percentages, named studies) made the biggest difference — roughly 4x improvement.
This aligns with what I've seen in the GEO vs SEO breakdown: AI models prioritize verifiable, attributable information over keyword-stuffed content.
What's Not Working
Keyword density tricks? Useless. AI models don't care about exact-match keywords the way search engines used to. What matters is semantic clarity and source credibility.
Hiding content behind walls? Counterproductive. If an AI can't access your content, it can't cite it.
Practical Steps
If you want to start optimizing for AI visibility:
1. Run a GEO audit — check if your content is being cited by AI tools at all. The GEO Audit Tool gives you a quick baseline.
2. Lead with answers — don't bury the point. AI models extract direct answers, not clever narratives.
3. Attribute everything — name your sources, include dates, be specific. Vague claims get ignored.
4. Test in real time — ask ChatGPT or Perplexity your target questions and see what gets cited. Then reverse-engineer the pattern.
The Bigger Picture
This isn't about replacing SEO — it's about expanding your visibility strategy. If 30%+ of your target audience is using AI tools for research (and that number is growing), you need to be visible there. The AI Gravity Checker helps you understand where your content currently stands across different AI platforms.
I'm not saying abandon traditional SEO. I'm saying the game just got bigger. The brands that figure out how to be cited by AI — not just ranked by Google — will have a serious advantage over the next 12-18 months.
Your move.