Every B2B SaaS, fintech, or cybersecurity marketing leader has had the same meeting by now: a vendor claiming they can get the company cited inside ChatGPT, Perplexity, and Google’s AI Overviews, usually with a retainer price that would have bought a senior in-house hire a year ago. Some of these vendors have real, demonstrable methodology. A large share are SEO shops that renamed their service line and kept the same deliverables. The sales decks read almost identically either way, and most buyers sign a six-figure annual contract without a structured way to tell the two apart.
Quick answer
Score a prospective AI search optimization agency against six checks before signing: Verifiable citation evidence across named engines, Engine coverage that accounts for how differently each platform cites sources, Reporting methodology built on a fixed prompt panel rather than ad hoc screenshots, Infrastructure competence (schema, entity data, crawler access), Flexible contract terms with no long lock-in, and Your ownership of the data and assets produced. We call this the VERIFY scorecard. An agency that cannot produce evidence for at least four of the six, in writing, before you sign, is very likely selling relabeled SEO.
Why this category is hard to vet right now
“AI search optimization,” “generative engine optimization,” and “answer engine optimization” all describe overlapping work: making a company’s content easier for a language model to find, trust, and quote inside a synthesized answer instead of a ranked list of links. The category traces back to a 2023 research paper, “GEO: Generative Engine Optimization” (arXiv:2311.09735), later accepted at KDD 2024, which found that adding statistics, citing sources explicitly, and including credible quotations could lift a page’s visibility inside generative engine answers by up to 40% in testing. That paper is a genuine academic result. Most of what gets sold under this label today is a commercialized, less rigorous version of the same idea, and the market has no rate card, no certification body, and no agreed definition of a “citation,” which is exactly the gap that lets a relabeled SEO retainer pass as something new.
It is also harder to measure than standard SEO because the platforms do not behave the same way. A 2026 measurement study, “From Citation Selection to Citation Absorption” (arXiv:2604.25707), ran 602 controlled prompts across ChatGPT, Google’s AI Overviews/Gemini, and Perplexity and found that Perplexity and Google cite more sources on average, while ChatGPT cites fewer sources but gives the pages it does fetch a much higher average influence on the final answer. The paper’s authors argue that counting citations alone is not a complete measurement, since a citation that does not shape the answer’s actual language or facts is close to worthless. Any agency pitching a single “citation count” metric across all engines is already using a measurement model this research says is incomplete.
The VERIFY scorecard: six checks before you sign
We built this scorecard from running vendor evaluations alongside clients who were already mid-pitch with two or three agencies at once. Score each category 0 to 5 based on what the vendor can show you in writing, not what they say in a call.
V: Verifiable citation evidence
Ask for screenshots of actual AI engine responses citing current clients, with visible dates, for queries in a category close to yours. A single screenshot proves nothing; a pattern across several prompts and a few months proves the methodology works at least once. Vendors who respond with case studies that list traffic or ranking gains but never show the actual cited answer are very likely reporting a proxy metric instead of the thing you are paying for.
E: Engine coverage, treated as separate channels
Given how differently ChatGPT, Perplexity, and Google’s AI Overviews select and use sources, ask the vendor to explain that difference in their own words before you explain it to them. A vendor who treats “AI search” as one undifferentiated channel, with one dashboard number for all of it, is working from a simpler model than the current research supports.
R: Reporting methodology, not screenshots
A credible vendor tracks a fixed, disclosed panel of prompts over time and reports a baseline against the current state, the same way a rank tracker works for traditional SEO. WebFX’s guidance on diagnosing a stalled GEO engagement lists the absence of a baseline, no defined prompt set, and activity-only reporting with no stated outcome as the clearest signs that a program is not actually being measured, only performed. If a vendor cannot describe their prompt panel and testing cadence in the first call, that is worth treating as a disqualifying answer, not a detail to clarify later.
I: Infrastructure competence
Before any content work, a competent vendor checks whether AI crawlers can actually access the site, whether structured data describes the organization and products consistently, and whether entity signals are clean across the web. Ask what they found in your specific infrastructure in the sales process, not after signing. An agency that skips straight to a content calendar without ever mentioning crawler access or schema is skipping the foundation the content work depends on.
F: Flexible contract terms
Long lock-in terms are a reasonable ask for a brand-new, unproven vendor relationship only if the price reflects that risk. Favor agencies that offer a short initial term, typically one to three months, with month-to-month renewal after, and no fee to leave. A vendor who insists on 12-month terms before you have seen a single citation is asking you to absorb all the risk in a market that still has no standard definition of success.
Y: Your data and asset ownership
Confirm, in the contract, that published content, schema implementations, prompt panels, and any dashboard access live in accounts you control, not the agency’s. If the relationship ends, you should walk away with the work product, not just a lesson learned. This is also the single most common point buyers forget to negotiate before signing, because it only matters once the relationship is already ending.
| VERIFY check | Red flag | Green flag |
|---|---|---|
| Verifiable evidence | One screenshot, no date, no named client | Dated screenshots across months, named clients willing to confirm |
| Engine coverage | One blended “AI visibility” score for every engine | Separate tracking and tactics per engine, explained plainly |
| Reporting method | Activity lists, no baseline, no stated prompt set | Fixed prompt panel, baseline vs. current, tied to a cadence |
| Infrastructure | Jumps to content with no crawler or schema audit | Audits crawler access and entity data before writing anything |
| Contract terms | 12-month minimum before any result is shown | Short initial term, month-to-month after, no exit fee |
| Data ownership | Dashboards and accounts stay on the agency’s side | Contract specifies you retain all assets and access on exit |
Scoring and thresholds
Score each of the six checks from 0 (no evidence, vague answers) to 5 (documented, specific, confirmable). Total out of 30.
- 24–30: Proceed. The vendor has shown real methodology across most checks.
- 15–23: Proceed only with conditions. Name the specific gaps in writing before signing, and shorten the initial term.
- Below 15: Walk away, or restart the evaluation with a different vendor. A score this low usually means a relabeled SEO retainer.
E: 1 – single blended score
R: 0 – no baseline offered
I: 2 – mentions schema, no audit shown
F: 1 – 12-month minimum term
Y: 1 – dashboards stay agency-side
Total: 6 / 30 – walk away
E: 4 – per-engine breakdown shown
R: 5 – fixed 40-prompt panel, monthly
I: 4 – audited crawler logs pre-pitch
F: 4 – 60-day initial term
Y: 5 – contract grants full asset export
Total: 26 / 30 – proceed
What this actually costs in 2026
There is no published, audited rate card for this category, and vendor-quoted ranges vary widely by scope and company size. Across the 2026 pricing guides currently circulating, a one-time audit typically runs a few thousand dollars, and ongoing retainers for a mid-market B2B company most often land between roughly $2,000 and $15,000 per month depending on content volume, the number of engines tracked, and whether earned-media or PR work is bundled in. Treat any number you see in a vendor’s own guide as a negotiating anchor, not a market price, since none of these figures come from a neutral source.
A practical gut check: if the quoted price is far outside that range in either direction with no infrastructure audit, no named prompt panel, and no clear answer to how success is measured, the price is not the problem. The missing methodology is. This is the same evaluation gap we cover in more depth in our breakdown of which generative engine optimization services are worth buying versus building in-house, which walks through the five lines of GEO work and which ones typically justify an outside vendor.
Before you sign anything
The fastest way to make this evaluation concrete is to generate your own baseline before the first vendor call, not after. A current, independent read on where your brand already shows up, or doesn’t, across ChatGPT, Perplexity, and Google’s AI Overviews gives you a real number to hold every pitch against, instead of taking a vendor’s self-reported starting point at face value. MV3’s GEO audit produces that baseline, an AI citation map, in five days. If the evaluation convinces you the work is worth buying rather than vetting vendor by vendor, our AI SEO agency retainer is built around the same VERIFY principles: disclosed prompt panels, per-engine reporting, and client-owned dashboards from day one. You can also book time to walk through your specific vendor shortlist with our team, no obligation either way.
Frequently asked questions
How do I vet an AI search optimization agency before signing a contract?
Score the vendor against six checks: verifiable citation evidence from named clients and engines, engine-by-engine coverage rather than one blended score, a disclosed and repeatable reporting methodology with a stated baseline, an infrastructure audit covering schema and crawler access, flexible contract terms with no long lock-in before results appear, and contractual ownership of the content, dashboards, and prompt panels the work produces.
How much does an AI search optimization agency cost?
2026 vendor-published pricing guides put a one-time audit at a few thousand dollars and ongoing retainers for mid-market B2B companies most commonly between about $2,000 and $15,000 per month, varying with content volume, the number of AI engines tracked, and whether PR or earned-media work is included. These figures come from vendors, not a neutral market source, so treat them as a starting point for negotiation.
What is answer engine optimization vs an AI search optimization agency?
Answer engine optimization describes the work itself, structuring and proving content so it gets selected and used inside synthesized answers. An AI search optimization agency is a vendor that claims to perform that work on your behalf. The distinction matters because many agencies selling “AI search optimization” are performing standard SEO tasks with new labels, which is exactly what a structured vetting process like the VERIFY scorecard is built to catch.
How do AI engines decide what to cite, and why does that matter for vetting a vendor?
Research published in 2026 found that Perplexity and Google’s AI Overviews tend to cite more sources per answer, while ChatGPT cites fewer sources but gives the pages it does cite significantly more influence over the final answer’s wording and facts. A vendor that reports one blended citation metric across every engine is using a measurement model that this research treats as incomplete, which is a reasonable basis to ask them to break out reporting by platform.
Should I get a GEO audit before hiring an agency?
Yes. An independent audit establishes your actual starting point, which engines already cite you and for which queries, before any vendor’s pitch. Without that baseline, you have no way to confirm whether a vendor’s reported progress reflects real work or simply reflects where you already stood when the contract started.
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Alex Carter leads SEO and content strategy at MV3 Marketing, specializing in generative engine optimization, technical SEO, and AI-driven content systems for B2B companies.
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