Hi everyone, this is Neo.

Lately I’ve been talking with a few founders running cross-border independent sites, and one anxiety keeps coming up over and over: “Should I cut my traditional SEO budget in half and move it all to AI search optimization (GEO)?”

Behind that question sits a set of numbers that makes people squirm: Ahrefs’ research shows Google’s AI Overviews cut click-through rates for top-ranking content by 58% (a year ago that figure was only 34.5%); Brandlight’s research found that the overlap between Google’s top organic links and AI citation sources has plunged from 70% to under 20%. Put simply: the Position 1 you spent three years of SEO grinding for might not even get cited in an AI answer.

But I have to tell you a counterintuitive truth: slashing your SEO budget today to go all-in on AI is, in all likelihood, a decision you’ll regret.

Not because AI search doesn’t matter — it matters a lot. It’s because too many people are turning this into a forced either/or question, when the people who actually win are treating it like a multi-layered problem to be solved by stacking.

Today I want to lay this out properly: as the owner of an independent site, how do you use a clear framework to split your limited budget and energy between SEO and AI search? This was the core topic of a recent Search Engine Journal webinar, and it’s something I’ve been chewing on myself. Here’s the framework and practical playbook I put together — it’s dense, so bookmark it before you dive in.

First, get the facts straight: how much traffic is AI search really “taking”

Before making any decision, we need to see the current state clearly. Here’s what the front-line data says —

• Over 70% of search queries now surface an AI Overview or a direct-answer component on the results page (Forrester, early 2026 report).
• AI Overviews cut CTR for top-ranking content by 58% — meaning even if you rank #1, more than half of searchers now won’t click.
• The overlap between Google’s top links and AI-cited sources dropped from 70% to below 20% — AI picks its citation targets using logic that’s completely different from Google’s ranking algorithm.
• 80% of pages cited by LLMs can’t crack the top 100 of Google’s original query results — a genuinely shocking number, meaning the “winners” of traditional SEO and the “winners” of AI search are, in a huge number of cases, not the same people.
• 28.3% of pages ChatGPT cites most often get zero organic search traffic — these “AI darlings” simply don’t exist in the traditional SEO world.
• 50% of B2B buyers now start their research directly from an AI chatbot, a share that jumped 71% in just four months (G2 data).

Looking at those numbers alone, you’d think “all-in on AI, right now” is the only rational move. But that’s one side of the coin. The other side is —

• 40% of the pages Google AI Overviews cite already rank in Google’s organic top 10.
• 70% of the pages Google AI Overviews cite already rank in Google’s organic top 100.
• Domain authority is still the #1 predictor of AI citations (SE Ranking’s study of 2.3 million pages, SHAP value 0.63).
• High-traffic sites get 3x the AI citations of low-traffic sites.

In other words, SEO isn’t dead — in a lot of places it’s actually the foundation AI visibility stands on. Slash your SEO budget to go chase GEO, and you may be cutting away the very foundation of your AI visibility.

Neo’s take: Friends running independent sites, read these two sets of numbers together — quoting either set on its own is misleading. The rise of AI search isn’t “replacing SEO”; it’s “stacking a new visibility track on top of SEO.” The two tracks don’t fully overlap in reach, user mindset, or conversion paths — what you need isn’t “cut the budget and switch direction,” but to first figure out which track your business deserves more of your chips on. That’s exactly the judgment this framework helps you make.

Core mindset: SEO, AEO, and GEO stack in layers — this isn’t a pick-one game

Before we get to the framework, let’s get the concepts straight — what people loosely call “AI search optimization” today actually spans three related but distinct concepts, and tons of people use them interchangeably, which is why strategies keep fighting each other.

| Concept | Full name | Goal | Typical platforms | ||