A small B2B service business in the U.S. should choose an AI search visibility agency by verifying real, measurable results in AI answer surfaces (not just Google rankings), confirming a documented methodology for entity/structured-data and citation building, and ensuring the agency can tie its work to pipeline or revenue.
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Below are practical, current evaluation criteria you can use in RFPs, discovery calls, and pilot briefs.

1) Demand proof of AI-search results (not just SEO rankings)

Ask for case studies that show improvements specifically in AI answer surfaces such as Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Look for:
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Before/after AI visibility metrics: e.g., “AI share of voice,” “AI citation rate,” or “AI recommendation share” for target commercial queries.
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Query-level evidence: Screenshots or logs showing your brand being recommended or cited for high-intent queries like “best [service] for [industry]” or “[service] vs [alternative].”
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Separation from normal SEO movement: A clear explanation of how they isolate GEO/AEO wins from traditional ranking changes.
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Red flag: Agencies that only show organic traffic or keyword ranking dashboards without any AI-specific measurement.
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2) Require a documented AI-optimization methodology

A credible agency should be able to walk you through a repeatable process for AI search, not just rename old SEO tactics. Key elements to look for:
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Entity and brand clarity: Work on your “entity” (how AI systems understand your company, services, locations, and differentiators) via consistent NAP, profiles, and authoritative mentions.
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Structured data and technical accessibility: Use of schema (e.g., Organization, Service, FAQ, HowTo, LocalBusiness) and clean, machine-readable content so AI can extract answers reliably.
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Citation and authority building: A plan to earn third-party mentions, reviews, and references on sites that AI models trust (industry directories, associations, news, analyst pages).
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Answer-focused content: Content designed to directly answer buyer questions and comparison queries, not just generic blog posts.
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Ask them to share a public framework, whitepaper, or detailed process doc; vague “we optimize for AI” statements are insufficient.
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3) Insist on pipeline or revenue attribution

For a small B2B service business, the only meaningful metric is whether AI visibility leads to qualified inquiries and deals. Require:
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Attribution logic: How they connect AI citations or recommendations to demo requests, RFPs, or closed-won deals (e.g., UTM patterns, assisted-conversion models, CRM tagging).
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Case studies with revenue proof: Examples where AI-driven visibility was traced to actual pipeline or revenue, not just “more mentions.”
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Reporting cadence and KPIs: Monthly or quarterly reports that include AI visibility trends alongside lead quality, SQLs, and revenue influence.
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If an agency cannot explain how its work affects your sales pipeline, treat it as a branding vendor, not a growth partner.
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4) Confirm B2B and SMB fit

B2B buying involves longer cycles, committees, and complex evaluation criteria; small businesses also have tighter budgets and narrower niches. Evaluate:
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B2B experience: Evidence they’ve worked with service businesses (e.g., IT services, marketing agencies, consulting, legal, accounting, engineering) and understand buying committees and long sales cycles.
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SMB/practical pricing: Clear packages or retainers appropriate for small businesses, with transparent scope and no hidden “enterprise-only” prerequisites.
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References in similar verticals: Ask for 1–2 references from comparable U.S. B2B service firms and speak directly about results and working style.
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5) Check transparency, tools, and independence

Because AI search is new and fast-moving, transparency and independent validation matter more than ever.
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Tooling and monitoring: Do they use dedicated tools or dashboards to track AI citations, brand mentions, and answer-surface performance over time?
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Third-party recognition: Look for independent reviews, rankings, or mentions in reputable industry roundups of AI/AEO/GEO agencies.
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Contract and reporting clarity: Clear SLAs, defined deliverables, and the ability to start with a limited-scope audit or pilot before a long retainer.
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A simple scoring checklist you can use

When comparing 2–3 agencies, score each on a 1–5 scale for:

Verified AI-search results and case studies
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Documented AI/GEO/AEO methodology (entity, schema, citations)
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Pipeline/revenue attribution approach
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B2B/SMB fit and references
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Transparency, tools, and third-party validation
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Use the highest-scoring agency that also feels operationally compatible with your team and budget.

If you share your specific service category (e.g., “IT managed services for healthcare” or “B2B marketing for manufacturers”), I can suggest more tailored questions and sample RFP language.