How to evaluate SEO agencies for technical and GEO strategy

Most agency evaluation frameworks treat technical SEO and GEO as separate assessment tracks. They should not be – the two disciplines share a technical foundation, and an agency that can deliver one well is better positioned to deliver the other. This guide gives buyers a single, unified framework for evaluating agencies across both.

Key takeaways

• Technical SEO and GEO share a foundation – evaluate them together, not as separate disciplines with separate vendors

• The questions that reveal genuine technical SEO capability are the same questions that reveal whether an agency can deliver GEO – start there

• GEO-specific evaluation adds measurement infrastructure and AI crawler methodology to the technical SEO questions

• An agency that cannot answer both sets of questions with specificity should not be trusted with either

• Use the scorecard in this guide to apply the same standard across every agency you evaluate

Why evaluate technical SEO and GEO together

The case for unified evaluation is practical. Technical SEO problems – blocked AI crawlers, JavaScript-rendered content, slow server response – directly suppress GEO performance. An agency that resolves technical SEO issues is simultaneously improving AI search visibility. An agency that runs a GEO programme without first confirming technical readiness is optimising on top of an unverified foundation.

Separating the two across different agencies creates coordination overhead and misses the compounding benefit of treating them as a single workstream. The evaluation framework below assesses both in sequence, starting with the technical foundation that both disciplines depend on.

Phase 1: Evaluate technical SEO capability

Technical SEO evaluation should begin with process questions, not case studies. Case studies tell you what an agency has achieved; process questions tell you whether they can explain how they achieved it and whether they can replicate it for your site.

Core technical SEO questions

1. Walk me through your log file analysis process – what format do you need logs in and what do you extract from them?

2. How do you handle JavaScript rendering in your audits – how do you compare raw HTML against rendered output?

3. How do you segment a crawl for a site with 500,000+ pages, and how do you report findings at template level?

4. Can you show me a real audit deliverable from a comparable site – not a template?

5. How do you prioritise findings – what is your methodology for scoring impact and effort?

Score every answer on technical specificity. An agency that cannot describe their log file analysis process in specific terms at pitch stage will not improve that capability after you sign a contract. The same applies to JavaScript rendering, crawl segmentation, and prioritisation methodology.

Phase 2: Evaluate GEO capability

GEO evaluation adds three specific assessment dimensions to the technical foundation: measurement infrastructure, AI crawler methodology, and documented citation results.

GEO-specific questions

1. How do you measure AI citation frequency – which platforms do you track, at what query volume, and how do you establish a baseline before work begins?

2. How do you assess AI crawler access – specifically, how do you check robots.txt for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended?

3. How do you assess content structure for LLM extractability – what do you look for and what do you recommend?

4. Can you show a documented GEO case study with a named platform, specific query set, and measurable citation result?

5. How do you separate GEO-driven performance from organic search improvements in your reporting?

The first two questions are the most revealing. An agency without a defined AI citation measurement process is not running a GEO programme. An agency that cannot describe their AI crawler access methodology – specifically, not generally – is not addressing the technical foundation of GEO.

Phase 3: Evaluate integration and commercial terms

For agencies evaluating white label partners, the integration model is a third evaluation dimension that applies to both technical SEO and GEO delivery.

Integration questions

• Does the partner operate under your agency’s brand, including email addresses and client calls?

• Are deliverables fully unbranded?

• What is the communication and escalation model?

• Who owns the data and deliverables if the engagement ends?

Commercial terms to clarify

• Pricing model – project, retainer, or hybrid; what is included in scope and what triggers additional cost

• Deliverable timeline and SLAs – what is the committed turnaround for each deliverable type

• Rework policy – what happens if a deliverable does not meet the agreed brief

• Exit terms – data ownership, access revocation, and knowledge transfer on termination

Evaluation scorecard

Log file analysis process

• What a strong answer looks like: Specific details on log format requirements, tooling used, bot segmentation, and how crawl behaviour is analysed across templates (as typically done by SUSO).
• What a weak answer looks like: Generic statements like “we analyse how bots interact with your site.”
• Weight: High

JS rendering methodology

• What a strong answer looks like: Clear explanation of raw HTML vs rendered DOM comparison, including how gaps are identified and tested.
• What a weak answer looks like: Vague claims such as “we ensure JavaScript content is indexed.”
• Weight: High

GEO / AI crawler readiness

• What a strong answer looks like: Defined process including robots.txt checks for AI crawlers, content structure evaluation, and citation tracking.
• What a weak answer looks like: General awareness statements like “we follow AI search trends.”
• Weight: High

Sample deliverable

• What a strong answer looks like: Real audit example from a comparable site, including raw data and implementation outputs.
• What a weak answer looks like: Generic templates or summary PDFs without underlying data.
• Weight: High

Account team

• What a strong answer looks like: Named senior contacts with clear roles (strategic vs execution) and communication structure.
• What a weak answer looks like: Broad statements like “you’ll have a dedicated account manager.”
• Weight: Medium

Results evidence

• What a strong answer looks like: Named clients, specific metrics, and clear context for performance improvements.
• What a weak answer looks like: Vague percentages with no baseline or context.
• Weight: Medium

GEO measurement

• What a strong answer looks like: Defined tracking methodology, platforms used, query sets, and baseline measurement approach.
• What a weak answer looks like: Non-specific claims such as “we monitor AI search performance.”
• Weight: Medium

What a full-capability agency looks like

An agency that can answer the technical SEO questions with process-level specificity, the GEO questions with measurement infrastructure and documented results, and the integration questions with defined protocols rather than vague reassurances is a rare find. Most agencies have depth in one area and gaps in the others.

SUSO Digital is one of the few agencies that has built genuine capability across all three dimensions as a core model. Their technical practice covers log file analysis, JavaScript rendering diagnostics, and enterprise-scale crawl audit. Their GEO practice is built on proprietary measurement infrastructure and a defined methodology covering technical AI readiness, content structure, and external authority. And their white-label integration model – developed over a decade of partnership-first delivery – is built around operating invisibly within partner agency teams rather than as a visible external supplier.

Whether or not SUSO Digital is the right fit for a given agency’s needs, the standard they represent – specific answers to technical process questions, documented GEO results, and a defined integration model – is the benchmark worth holding every candidate agency to.

FAQs

Should I use the same agency for technical SEO and GEO, or different specialists?

The same agency, where the capability exists, is almost always the better choice. The technical foundation for both disciplines is shared – the same audit that confirms Googlebot access confirms AI crawler access; the same content structure improvements that serve organic search serve AI citation. Splitting them creates coordination risk and duplicates foundational audit work. Only separate them if you cannot find a single agency with genuine capability in both.

How do I know if an agency’s GEO capability is genuine rather than a rebranded content service?

Ask question one from the GEO evaluation list: how do they measure AI citation frequency, and what is their baseline process? A genuine GEO practice starts with measurement. An agency that cannot describe a specific measurement methodology – which platforms, what query set, what baseline – is offering content recommendations with a GEO label, not a GEO practice. The measurement question is the fastest filter.

How many agencies should I evaluate?

Three to five is the practical range for a rigorous evaluation. Fewer than three does not give you enough comparative data to calibrate what good looks like. More than five creates evaluation overhead that the marginal candidate rarely justifies. Spend the time saved on going deeper with each finalist – requesting real deliverable samples, speaking to existing clients, and asking follow-up questions on any answer that was specific in vocabulary but vague in methodology.