GEO + Paid Social Vendor Scorecard for SMB Teams

Why do 64% of local searches now show an AI answer before any ad?

Generative engines like Google's AI Overviews, ChatGPT Search, and Perplexity have restructured the local search page. According to eMarketer, 64% of local searches now surface an AI-generated answer before a single paid ad impression fires. That's not a trend to watch. That's a structural shift that's already costing SMBs clicks they're paying to recapture through paid social.

The practical consequence: if a prospect asks ChatGPT or Google's AI Overview "best HVAC company near me" and your business isn't cited in that answer, your Google Ads budget is working harder than it needs to. GEO (generative engine optimization) and paid social are no longer separate line items. They're two levers on the same revenue outcome.

What is a GEO and paid social vendor scorecard, and why does it matter?

A vendor scorecard is a structured evaluation tool that scores vendors or agencies across a defined set of criteria before you sign a contract or renew one. For SMB teams specifically, the risk of misaligned vendors is high: you might have a paid social agency that's never heard of GEO, and an SEO shop that hasn't updated its thinking since 2022.

The scorecard framework below forces vendors to answer specific questions about both disciplines, and it weights those answers according to what actually drives revenue for SMBs in 2025.

"The vendors who can only talk about one channel are going to cost you money on the other one."

How should SMBs score vendors on GEO capability?

GEO is still a young practice, which means vendor quality varies enormously. A vendor with real GEO capability should be able to demonstrate at least the following:

• Citation auditing: Can they show you which AI engines are citing your brand, and for what queries?
• Structured content strategy: Do they produce content in formats AI engines prefer to cite (direct answers, definitions, comparison tables, step-by-step processes)?
• Schema and technical implementation: Are they deploying structured data that helps generative engines parse your site accurately?
• Measurement: Can they track AI-referred traffic in GA4, including referrals from Perplexity and ChatGPT?

Any vendor who can't answer these four questions concretely is not doing GEO. They may be doing SEO and calling it GEO.

How should SMBs score vendors on paid social capability?

Paid social for SMBs in 2025 is primarily Meta, with LinkedIn relevant for B2B and TikTok relevant for specific consumer verticals. The evaluation criteria that actually predict ROI:

• Creative velocity: How many ad variations does the vendor produce per month, and what's their testing cadence? Meta's own data shows that creative is the primary driver of ad performance, not audience targeting.
• Audience architecture: Can they build and maintain first-party audience segments from your CRM or email list?
• Attribution model: Are they using Meta's Advantage+ attribution, a third-party tool, or last-click? Last-click is wrong for almost every SMB use case.
• GEO awareness: Do they understand how AI Overviews affect branded search volume and factor that into their paid strategy?

That last point is where most paid social vendors fall short. If branded search volume is being absorbed by AI answers, a vendor who doesn't account for that will over-attribute conversions to paid and under-invest in the fix.

Vendor scorecard: GEO + paid social evaluation table

| Criteria | Weight | What a strong answer looks like | Red flag | |---|---|---|---| | GEO citation auditing | 15% | Named tool or process, shows sample output | "We monitor rankings" | | Structured content production | 15% | Specific formats: FAQs, tables, definitions | "We write blogs" | | Schema/technical GEO | 10% | Lists schema types deployed for your vertical | Blank stare | | AI traffic measurement | 10% | GA4 setup with AI referrer tracking confirmed | "We track organic" | | Paid creative velocity | 15% | 8+ variations/month, weekly test cycles | "We run 2-3 ads" | | First-party audience use | 10% | CRM integration confirmed, suppression lists active | Only uses interest targeting | | Attribution model clarity | 15% | Named model, explains why it fits your funnel | "We use default" | | Cross-channel GEO awareness | 10% | Can explain AI Overview impact on paid ROAS | Has never heard of GEO |

Score each vendor 1–5 per row, multiply by weight, sum the column. Any vendor scoring below 3.0 weighted average is a rebuild risk within 12 months.

What does a realistic budget split look like for an SMB using this framework?

There's no universal answer, but a useful starting point for an SMB spending $5,000–$15,000/month on combined search and social:

• 40–50% to paid social (Meta primary, test one other platform)
• 25–35% to GEO and content infrastructure (this is often underweighted)
• 15–20% to measurement, attribution tooling, and reporting

The measurement line item is the one most SMBs skip and then wonder why their numbers don't make sense. If you can't measure AI-referred traffic separately from organic, you can't make accurate decisions about either GEO or paid spend.

What we'd actually do

• Run the scorecard on your current vendors before budget season, not after. Give them the table above and ask them to fill it out. How they respond (and how fast) tells you as much as the scores do.
• Set up AI referrer tracking in GA4 now. Create a custom channel group that captures traffic from perplexity.ai, chatgpt.com, and bing.com/chat as a distinct source. This takes about 20 minutes and gives you data you'll need for every budget conversation going forward.
• If you're evaluating new vendors, make GEO literacy a gate, not a bonus. A paid social agency that can't explain how AI Overviews affect branded click volume isn't equipped for the current environment. Join the AI For Business community at skool.com/aiforbusiness to get frameworks like this scorecard updated as the landscape shifts.