The GEO Vendor Problem: Promises Without Proof
You're shopping for Generative Engine Optimization. Your competitors are already in ChatGPT search results. Claude is indexing competitor content. Perplexity citations are driving traffic to sites that aren't yours. So you're vetting vendors—and every pitch deck says the same thing: "We'll get you into AI overviews. Trust us."
That's not a contract. That's marketing.
The GEO category is three years old. Most vendors still operate on vague timelines and outcome promises because they don't yet have auditable, repeatable playbooks. They trade on hope. The vendors worth your budget ship measurable deliverables by day seven, price transparently, and let their results speak before your first invoice is due.
The difference between a GEO vendor and a GEO partner is whether you can measure success before you've committed budget. If they won't show you what ships in week one, they're still figuring it out—on your dime.
What to Demand: Week-One Deliverables
Real audit output, not a roadmap
Week one should not be discovery. You've already done that. Week one should deliver a concrete audit of where your content sits inside generative engine indexes, what your competitors' content is pulling citations for, and which AI tools are consuming your vertical.
Demand a spreadsheet. Demand screenshots. Demand a prompt-by-prompt log of what Claude returned when searching for your core keywords. A reputable vendor will have this ready before your kick-off call.
Prompt testing and competitive mapping
By day five, you should have a document showing: (1) five to ten high-intent prompts that matter to your business, (2) what each AI engine returns for those prompts, (3) which competitors appear in those results, and (4) what structural and content gaps exist in your current indexing.
This is not nice-to-have. This is the foundation. If a vendor treats this as phase two, they don't have a week-one playbook.
Pricing Models: The Real Sorting Signal
Per-query retainers vs. fixed project scope
Some vendors sell "seats" in a per-query retainer model—you pay monthly, they optimize your content against live prompt variants. Others sell fixed project scope: audit, optimization plan, implementation, delivered in ninety days. Both can work. The vendor who won't explain the difference is betting you won't notice the structural cost.
Per-query retainers make sense if your market moves fast and you need continuous optimization. Fixed project scope works if you have a defined content set and a clear win condition. Ask which model they recommend—and why.
What should it cost?
For a mid-market B2B team (fifty to one hundred core pieces of content), expect project-based GEO to land between twelve and thirty-five thousand dollars. Retainer-based usually starts around three to five thousand monthly. If a vendor quotes five figures monthly for a first engagement, they're pricing for enterprise or they don't have a scalable model. Ask them to clarify.
The Proof-by-Day-Seven Test
Use this checklist before signing:
Do they deliver a current-state audit by day five? (PDF, not deck.)
Can they show which AI engines index your domain and at what frequency?
Will they run live prompt tests and log the results?
Do they explain their pricing model in writing before the contract?
Can they name three to five comparable clients and a single metric from each?
Do they commit to a specific deliverable by day seven, or do they ask for "alignment time" first?
If you get yes to five or six of these, you're looking at a vendor with a real process. Fewer than five, and you're buying optimism.
Work with us on this
At Modulus, our GEO engagement ships week-one deliverables as standard. We start every project with a live-engine audit—ChatGPT, Claude, Perplexity, Google's AI Overviews, and Gemini—showing exactly where your content surfaces, where it doesn't, and why. You get a prioritized list of content gaps and a prompt library built for your vertical within seven days. No roadmap. No theory. Proof.
Our pricing is fixed or retainer, your choice. Mid-market projects typically run between fifteen and forty thousand for the first ninety days. We price transparently, scope explicitly, and tie every recommendation to a specific AI engine and search behavior.
This is for B2B teams serious about competing inside generative engines—not teams buying visibility theater. If you're tired of generic SEO advice that doesn't apply to ChatGPT or Claude, and you want to see day-seven proof before you commit, let's talk.
Learn more about Generative Engine Optimization (GEO) and schedule your week-one audit today.
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Originally published on the Modulus1 insights blog. Browse more analysis on AI, SEO, and automation.
