A randomized field experiment covered by Search Engine Journal found Google AI Overviews cut organic clicks by 38% on the queries where they appear. If your 2027 plan still funds search as if clicks were guaranteed, you are budgeting for a market that no longer exists. A dedicated GEO line item is how you fix that.
The case for a separate line, not a footnote
Start with the evidence, because finance will. A field study reported by Search Engine Journal found AI Overviews appeared on 42% of queries. In the same experiment, zero-click search rose from 54% to 72% when the summaries were present.
That is a distribution problem, not an SEO tweak. Buyers are getting answers inside the interface. If your brand is not named in that answer, you are not in the consideration set, however well your page ranks.
Meanwhile, most teams are underprepared. Meanwhile, Digiday’s reporting shows budgets moving toward GEO even though the channel still lacks a clear ROI model.
Read that gap as an opening. Early budget discipline here is a competitive edge, not a luxury.
The risk in 2027 is not overspending on GEO. It is leaving it buried inside an SEO line where nobody owns it, measures it or defends it.
What are peers actually spending?
Benchmarks are thin and mostly self-reported, so treat them as directional. Digiday reported that 55% of marketers surveyed by Scribewise (205 U.S. executives and managers) had dollars set aside for GEO. In that research, 70% of those marketers said GEO accounted for 11 to 20% of that budget.
Estimates of scale vary: some sources suggest GEO is still a small share of overall marketing resources, while others show a double-digit share of the search budget. Both can be true: adoption is rising from a low base, and the early movers are carving out a double-digit slice.
The same Digiday piece offers a few practitioner signals. PMG recommends a GEO pilot budget of 1.5 to two times the current search budget, according to its head of SEO for EMEA. Noise Media Group’s CEO described a reallocation rather than a cut: for a brand spending a given sum on SEO, he expects at least half of that to now cover GEO as well. Pet food brand Pawco, per Digiday, increased its budget 10% in the first quarter alone to test LLM discovery.
None of these were audited spend figures. Use them to sanity-check your range, not to justify it.
Where the money goes: four buckets
A line item with no internal structure invites a vague review. Split it into four buckets, each with its own owner and its own question.
- Measurement and monitoring. Tools that track brand mentions, citations and share of voice across ChatGPT, Google AI Overviews, Perplexity and Gemini. Without this, nothing else can be defended.
- Content and entity work. Restructuring product, FAQ and comparison pages so models can extract clean answers. This is where existing SEO production budgets shift.
- Third-party presence. Reviews, press, forums and creator content. Models lean on what others say about you, not only what you say.
- Experimentation reserve. Unallocated money for tests that nobody can predict yet.
The third bucket is where influencer teams should pay attention. Digiday noted that some marketers are moving performance dollars into experimental activations and out-of-home, partly to generate the buzz LLMs pick up. Creator content is a cheaper version of the same logic. If you already run a program, the question is whether the content is findable, tagged and indexable. Our guide to untagged content audits covers the cleanup, and the annual creator calendar shows how to time launches to crawl cycles.
How do you size it?
Pick a method before you pick a number. Here is a practical sequence I would use with a CFO in the room.
- Baseline your exposure. Pull the share of organic revenue that comes from informational and comparison queries. These are the queries most likely to trigger AI summaries.
- Fund it by reallocation first. Pull from low-yield SEO content volume and brand-term paid search before asking for net-new budget.
- Ring-fence a test reserve. Hold a portion back until two quarters of data justify release.
This pairs naturally with a zero-based approach with hurdles and gates. Each GEO dollar has to clear a threshold to stay funded, and the reserve releases only when a gate is passed.
For brands already thinking about the wider mix, GEO alongside live commerce and CTV offers a way to weigh these bets against each other rather than in silos.
Measuring something that does not click
Here is the uncomfortable part. Digiday quoted PMG’s Matt Allfrey admitting the channel lacks a clear ROI, though businesses are still willing to invest to test and learn. Jellyfish’s John Dawson described metrics shifting from clicks to salience and brand mention rates.
Attribution is shaky. You cannot lean on last click here.
So build a scorecard with leading and lagging indicators:
- Leading: citation rate across a fixed set of 50 to 100 priority prompts, brand mention share against three named competitors, and accuracy of how models describe your product.
- Lagging: branded search lift, direct traffic, assisted conversions, and sales-team reports of buyers who arrived already informed.
Choose your methods by spend level. Low-spend pilots can run on prompt tracking plus branded search lift. Larger commitments deserve modeled evidence, and our breakdown of MMM versus multi-touch attribution explains which method fits which scale. For the overall structure, the three-tier measurement framework adapts well.
Commit to what you will measure before you commit the money. A GEO budget with no scorecard is a donation.
Risks to price in
Be honest with leadership about what could go wrong. Models change behavior without notice, so a citation you win in March can vanish in June. Vendors in this space are young, and many promise precision that the underlying data cannot support. Prompt-tracking results are also sampled, not census data, which means week-to-week swings often reflect noise.
There is a compliance angle too. If creators or affiliates seed content specifically to influence model answers, disclosure rules still apply. Brand claims that a model repeats will be attributed to you, accurate or not. Put legal on the review path early.
Finally, avoid the opposite error. Cutting SEO to fund GEO is rarely right, since the pages models cite are usually the pages that already earn trust. Digiday’s sources described slicing the budget differently, not hacking it apart.
Who owns it?
Ownership kills more budget lines than skepticism does. GEO touches SEO, PR, content, creator partnerships and analytics, so it falls between chairs. Name one accountable lead and a small review group that meets monthly. A cross-functional governance board across legal, marketing and finance is a workable model, and it already exists in many creator programs.
This week, pull last year’s search spend, set a starting carve-out range based on your own exposure, and draft a one-page GEO scorecard. Take both to your finance partner before budget lock, so the line item arrives with its own proof plan.
FAQs
What does GEO stand for, and how is it different from SEO?
GEO is generative engine optimization. SEO aims to earn rankings and clicks on a results page. GEO aims to earn mentions and citations inside AI-generated answers from tools such as ChatGPT, Gemini, Perplexity and Google AI Overviews. The two overlap heavily in content quality, but they are measured differently.
How much of my marketing budget should go to GEO?
There is no standard for how much to spend. Start with a pilot inside your search budget and scale on evidence.
Should GEO money come from SEO or be new budget?
Reallocate first. Practitioners quoted by Digiday describe shifting part of SEO spend rather than cutting it, because strong SEO content often feeds what AI engines cite. Ask for net-new money only after your pilot shows measurable gains in citations or branded demand.
How do I prove ROI when AI answers do not send clicks?
Use a mix of leading indicators (citation rate, mention share, answer accuracy) and lagging ones (branded search lift, direct traffic, assisted conversions). Be upfront that attribution is imperfect. Agree on the scorecard with finance before spending starts.
Do creators and influencers play a role in GEO?
Yes. AI engines draw on third-party content such as reviews, videos and discussion posts. Well-structured, properly tagged creator content that is publicly indexable can strengthen your presence in those sources. Keep disclosure and rights terms clear when you use it.
What is the biggest mistake brands make with a GEO budget?
Funding it without an owner or a scorecard. The second most common is treating a single tool’s dashboard as proof of results. Sampled prompt data is useful, but it needs to be tied to business outcomes.
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