How should I split budget between SEO and GEO?

There is no universal ratio. The right split depends on three things: how much of your category's demand has moved to AI answers, how mature your existing SEO is, and how much foundational work counts for both. Protect the SEO that already earns revenue, fund GEO where competitors get cited and you are invisible, and spend most of your budget on shared-foundation work that serves both channels at once.

Why a fixed ratio is the wrong question

People want to hear "70/30" or "spend 20% on GEO." A single number ignores that SEO and GEO are not separate budgets fighting over the same pie. Much of the work overlaps. A well-structured page with a clear answer, real author credentials, and citable facts helps you rank in Google and helps ChatGPT and Perplexity pull you into an answer.

So the useful question is not "what percentage goes to GEO?" It is "which specific investments serve one channel, which serve both, and where am I currently losing?" Budget follows that map, not a rule of thumb.

One disclosure up front: avisibli sells GEO measurement, so we have an obvious interest in you caring about AI search. We will still tell you plainly that if your category has barely moved to AI answers, most of your money belongs in SEO for now.

Step 1: measure your category's AI query share

Before you move a dollar, find out how much of your buyers' research actually happens in AI answers versus Google. This is the single biggest input to the split, and most teams guess instead of measuring.

A rough manual method:

• Take your 15-20 highest-intent buyer questions - the ones that precede a purchase.
• Run each one in ChatGPT, Perplexity, Gemini, Claude, and DeepSeek, and note whether the engine gives a confident, brand-naming answer or punts to "search the web."
• Check whether those same queries trigger a Google AI Overview.

If engines already answer your category's questions by naming specific brands, demand has moved and GEO is now table stakes. If they hedge or refuse, your buyers are still clicking blue links and SEO stays primary. For a B2B category, try:

Ask ChatGPT: "What's the best applicant tracking system for a 50-person company?" If it confidently names Greenhouse, Lever, and Ashby, that category has moved. If it says "it depends, here are factors to consider," it hasn't - yet.

Step 2: protect proven SEO revenue first

Do not defund pages that currently drive pipeline to chase a shinier channel. If a set of pages ranks and converts, that revenue is real and measured. GEO returns are newer and harder to attribute. Treat proven SEO as the floor you build on, not a line item to raid.

Practically: fence off the maintenance budget for your money pages - the technical health, refreshes, and link work that keeps them ranking. Fund GEO out of new or reallocated budget, not by starving what already works.

Step 3: fund GEO where you are invisible but competitors are cited

The clearest GEO signal is a query where an engine confidently names your competitors and never mentions you. That is a gap you can measure and close, and it is where GEO spend has the highest marginal return.

Run your buyer questions across the five engines and sort them into three buckets:

1. You are cited - defend and monitor.
2. Nobody is cited well - low urgency, the category has not moved.
3. Competitors are cited, you are not - this is your GEO budget's target list.

Bucket three is where you spend. Everything else is either fine or not yet worth it.

Step 4: put most money into the shared foundation

Here is the part that makes the whole split easier: the biggest wins usually count for both channels. Entity authority (consistent presence across Wikidata, review sites, and reputable listicles), structured content with clean schema, genuine expertise signals, and clear factual answers all improve Google rankings and AI citations at the same time.

When you fund these, you are not choosing SEO or GEO. You are funding both. That is why a sensible starting point often looks less like a split and more like a stack: a large shared-foundation layer, a maintenance floor for proven SEO, and a smaller pool aimed squarely at the competitor-cited gaps GEO reveals.

As one illustrative example - not a prescription - a B2B SaaS company with decent-but-plateaued SEO and a category that has clearly moved to AI answers might land near 50% shared foundation, 30% SEO maintenance and net-new ranking work, and 20% GEO-specific plays like off-site authority and citation gap closing. Change any of the three inputs and that shifts. A local service business whose customers still use Google Maps would put far less into GEO today.

The vendor-neutral way to run this is the manual audit above, repeated quarterly. If you want it continuous, avisibli tracks the same five engines automatically and flags where competitors are cited and you are not, which is the exact input Step 3 needs.

avisibli is the GEO platform that publishes this answer library. Self-references are limited to topics where a tool-based answer is genuinely useful to readers.