If you've been scrolling through LinkedIn or X lately, you've probably seen the hot takes: "AI SEO is completely different from traditional SEO!" or "You need to hire an AI SEO specialist immediately!"
But here's the truth that might save you thousands of dollars: AI SEO and traditional SEO are basically the same thing.
And we now have proof.
The ChatGPT-Google Connection Nobody Talks About
Two recent experiments have revealed something fascinating about how ChatGPT actually works, and it's not what OpenAI wants you to think.
Experiment #1: The Made-Up Word Test
SEO researcher Abashek conducted a clever experiment. He:
- Created a completely made-up word: "mushypical" (yes, it's nonsense)
- Put it on a hidden page not linked anywhere on his site
- Forced Google to index it via Search Console
- Left all other search engines (Bing, DuckDuckGo, Yandex) completely unaware
The result? ChatGPT Plus could define the term and quoted his hidden page verbatim. Meanwhile, Bing, DDG, and Yandex had zero results for the same query.

Experiment #2: The Snippet Matching Test
Another researcher, Ala, took it further. She created new content, verified no one had indexed it yet, then watched what happened after Google indexed it.
The smoking gun? ChatGPT's answer was exactly the same as Google's SERP snippet, word for word. ChatGPT even admitted in its explanation that it was "grabbing a snippet from a search engine."
The Irony: Bing Powers ChatGPT… Or Does It?
Officially, Microsoft's Bing is supposed to power ChatGPT's search feature. But these experiments suggest something different is happening.
This reminds SEO veterans of 2011, when Google caught Microsoft red-handed stealing their search results. Google planted fake results as bait, and Bing took it, leading to one of the most embarrassing moments in search engine history.
History might be repeating itself.
So What Does This Mean for Your SEO Strategy?
The bottom line: If you optimize well for Google, you're automatically optimizing for ChatGPT and most other AI tools.
The fundamentals haven't changed:
- High-quality, relevant content
- Strong technical SEO
- Authoritative backlinks
- User-focused optimization
- Proper indexing and crawlability
Don't let anyone convince you that you need to completely reinvent your SEO strategy for the "AI era."
BUT… There's a 12-18 Month Window You Need to Know About
Here's where things get interesting. While the fundamentals remain the same, there's a temporary advantage that's about to disappear.
According to Princeton-validated research on AI visibility, we're in a rare window where the rules are upside down:
The Position Bias Inversion
If you're already ranking in the top 3 on Google, aggressive AI optimization can actually hurt you.
Why? AI models actively diversify sources to avoid appearing captured by dominant players. Unlike Google, which rewards authority, LLMs deliberately look past the usual suspects to provide varied perspectives.

Translation: Your competitor's blog post, if properly structured for AI extraction, might outrank you in AI citations even though you dominate traditional search.
This creates a split strategy:
For established brands: Under-optimize. Let your existing credibility carry the weight. Light touches only.
For challengers with expertise but no domain authority: Be aggressive. This is your rare chance to leapfrog without backlinks.
The 18-Token Magic Number (Yes, It's Real)
Here's something specific you can act on immediately: AI models prefer citations under 18 tokens.
Why? Synthesis efficiency. Anything longer requires summarization, which introduces potential errors and reduces citation confidence. Models are trained to reduce hallucinations, so they gravitate toward clean, quotable sentences that fit inside their context window.
This breaks traditional content strategy.
Your 3,000-word definitive guide might get summarized and forgotten, while your competitor's 600-word article with five golden nugget sentences gets quoted verbatim.
Practical Implementation:
Instead of only creating long-form authority pieces, structure your content with:
- Self-contained statements that need zero surrounding context
- Snack-sized insights that are complete in one sentence
- Clear, confident claims that fit under 18 tokens
- Content that's both human-readable AND AI-extractable

The Claim Page Strategy
Research found that a dedicated page about a single concept (like yourname.com/concept) gets cited 4x more often than multi-topic blogs.
This explains why high-profile essays get cited so frequently, even when they're longer than 18 tokens. They sit on their own URL, focus on one topic, and typically have a cover page full of juicy tidbits that LLMs love.
This isn't about quality. It's about architecture matching extraction patterns.
The LLM wants clarity about what you're an expert in. Most experts haven't figured out their AI niche yet: which means if you structure your expertise around specific, frequently-asked questions, the space is yours for the taking.
The ONE Exception: The Press Release Hack
There is one genuinely new tactic that works differently in the AI landscape:
Low-cost press release distribution can get your messaging into AI overviews in ways that wouldn't work for traditional SEO.
Here's how it works:
- Write your own press release highlighting why your brand/product/service is excellent
- Use inexpensive distribution services ($5-15 on Fiverr or SEO Clerks)
- Your release gets syndicated to low-quality sites that wouldn't normally rank in Google
- AI tools synthesize these mentions and quote your press release as "publicly known fact"
- When people search, Google's AI Overview references your messaging
These low-quality syndication sites aren't good enough for traditional search results, but AI doesn't discriminate the same way Google's main algorithm does. It aggregates and synthesizes, treating your press release like verified information.

Why This Window Is Closing Fast
Amplitude just launched free AI visibility tooling that anyone can use to check their AI citation performance: or look up any brand in the world.
This is similar to when Google Analytics launched free measurement tools and effectively defined the standard for web analytics. Once measurement becomes easy, optimization accelerates.
The 12-18 month window is compressing. Once everyone optimizes, the advantage disappears and we're back to authority signals mattering (just measured differently).
The 80/20 Rule Still Applies
Focus on the fundamentals that drive 80% of your results:
✅ Optimize for Google's algorithms
✅ Create genuinely helpful content
✅ Build real authority in your niche
✅ Make your site technically sound
✅ Add: Structure content with clear, extractable statements
✅ Add: Focus on one core domain
✅ Add: Create dedicated claim pages for your expertise
✅ Add: Maintain content freshness with micro-updates
Do these things well, and you'll succeed in Google, Bing, ChatGPT, and whatever AI search tool launches next month.
Final Thoughts: The Web Isn't Dying, It's Evolving
The open web isn't dying: it's being filtered through an intelligence layer.
Think of AI as glasses you put on to view the web. Your job isn't to trick the glasses; it's to help them focus on real signal that's useful.
The models are hungry for quality. They're actively working to detect and avoid trash. If you have genuine expertise and make it legible to AI, you'll get noticed.
Traditional SEO isn't dead: it's just being repackaged and resold to you at a premium.
The next time someone tells you that AI SEO requires a completely different skill set, ask them for evidence. Because the data suggests the fundamentals remain, with some tactical adjustments for a temporary window of opportunity.
The gold standard for organic visibility is still Google's algorithm. Master that, add smart AI-friendly structure, and you've mastered the future of search.



