AEOMay 9, 2025·12 min read

AEO RFP Template: How Brands Are Scoring Agencies On Combined Visibility

Capconvert Team

AEO Strategy

TL;DR

An AEO RFP scores agencies across nine to eleven capability areas weighted differently from a traditional SEO RFP, with AI engine expertise taking 25% of the rubric because it is the single largest differentiator between competent and surface-level shops. The template assesses technical SEO foundation including Schema.org markup and llms.txt configuration, AI engine optimization across ChatGPT, Claude, Perplexity, Gemini, Microsoft Copilot, and Bing, content production cadence and quality control, brand entity work spanning Wikipedia, Wikidata, and Organization schema with sameAs links, the measurement framework with AI citation tracking dashboards, team composition with named GEO specialists, and case studies that report AI citation rate outcomes rather than only traffic. Pricing typically runs 20 to 50% above equivalent SEO engagements, so budget ranges belong in the RFP itself. Score each capability on a 1 to 5 scale across multiple internal reviewers, run the full cycle in 8 to 16 weeks against 8 to 15 long-listed agencies narrowed to 3 to 5 finalists, and verify all reference claims before signing. Six red flags signal misfit: generic answers, case studies without quantified outcomes, inability to name specific AI engines or tools, no competitive differentiation, pricing detached from scope, and unverifiable references. Revisit the RFP every 2 to 3 years to keep competitive pressure on the incumbent.

A growth-stage company is evaluating agency partners for AEO services. The procurement team produces an RFP using the company's standard marketing services template. The RFP asks about SEO experience, content production capabilities, pricing, and team size. Five agencies respond. The responses largely look identical on paper. The team struggles to differentiate the candidates meaningfully. The selection ends up being driven by price and proposal polish rather than substantive AEO capability. Six months into the engagement with the selected agency, results disappoint. The team realizes the RFP did not surface the AEO-specific capabilities that mattered most.

This pattern is common in 2026 as more brands run formal procurement for AEO agency services. The standard SEO RFP templates do not surface the AI engine optimization capabilities that distinguish good from mediocre AEO agencies. The RFP structure that works includes specific assessment of AI engine expertise, integrated measurement frameworks, and demonstrated AEO outcomes.

This piece provides the AEO RFP template that produces meaningful agency comparison, the scoring rubric for evaluating responses, the process timeline that supports thorough evaluation, and the common mistakes that produce poor agency selection.

Why AEO RFPs Need Different Structure Than SEO RFPs

The AEO scope differs from SEO in ways the RFP needs to surface.

AEO involves AI engine optimization beyond traditional search engines. Agencies that have not developed AI engine optimization capabilities cannot deliver AEO competently regardless of their SEO credentials. The RFP should distinguish.

  • The measurement framework differs - AEO programs measure AI citation rates alongside traditional search metrics. Agencies that lack AI visibility tracking infrastructure produce thinner reporting than agencies with the capabilities. The RFP should ask.
  • The team composition differs - AEO delivery typically requires GEO specialists alongside traditional SEO roles. Agencies with senior GEO expertise on staff differ from agencies that handle AEO as an SEO add-on. The RFP should probe.
  • The deliverables differ - AEO programs produce content optimized for AI engine extraction, brand entity scaffolding work, llms.txt and AI bot configuration, and AI citation tracking dashboards. Agencies producing only traditional SEO deliverables miss substantial AEO scope. The RFP should specify.
  • The pricing structures differ - AEO engagements typically cost 20 to 50 percent more than equivalent traditional SEO engagements due to the additional scope. RFPs that benchmark against traditional SEO pricing produce sticker shock or compressed scope. The RFP should set realistic budget expectations.

Brands using traditional SEO RFP templates produce confusing comparisons because the AEO-specific differentiation does not surface. The redesigned template solves this.

The Capabilities An AEO RFP Should Assess

The capabilities worth assessing in AEO RFPs include several specific areas.

  • Technical SEO foundation - The agency's ability to audit and improve site technical health, including schema markup, internal linking, page speed, crawl optimization, and mobile usability.
  • AI engine optimization expertise - The agency's specific capabilities for AI engine work: which engines they track and optimize for, what tools they use, what tactics they apply, and how they measure outcomes.
  • Content strategy and production - The editorial direction, topic cluster development, content production cadence, and content quality controls the agency applies.
  • Brand authority and entity work - The agency's capabilities for Wikipedia, Wikidata, brand authority PR, structured data implementation, and entity disambiguation.
  • Multi-engine coverage - Whether the agency covers Google plus AI engines (ChatGPT, Claude, Perplexity, Gemini, Microsoft Copilot) plus Bing plus regional engines where applicable.
  • Measurement framework - The reporting infrastructure, dashboards, metrics tracked, and cadence of analysis the agency provides.
  • Team composition - The roles on the agency's team that will work on the engagement, with seniority and AEO-specific experience documented.
  • Case studies and outcomes - Specific past engagements with quantified outcomes including AI citation rate improvements, not just traffic improvements.
  • Pricing and engagement structure - Tiered pricing, scope per tier, add-on availability, contract terms, and minimum commitment periods.
  • References - Current and past clients who can speak to the agency's actual delivery quality and outcomes.

The RFP should ask substantive questions in each capability area. Surface-level questions produce surface-level answers; substantive questions distinguish substantive agencies.

The RFP Question Template

The question template that produces meaningful agency comparison covers the capabilities above with specific questions.

Section 1: Agency overview. Company history, AEO-specific positioning, total team size, AEO-specific team size, locations and time zones served, key differentiators from competitors.

Section 2: Technical capabilities. Describe your approach to technical SEO audit. What schema types do you implement and validate? How do you handle structured data for AI engines specifically? What is your approach to llms.txt and AI bot configuration?

Section 3: AI engine expertise. Which AI engines do you optimize for? What tools do you use for AI citation tracking? Describe a recent AI engine optimization project including the situation, your approach, and the measurable outcomes. How do you stay current on AI engine algorithm changes?

Section 4: Content strategy and production. Describe your content strategy approach. How do you develop topic clusters? What is your typical content production cadence and quality control workflow? How do you optimize content specifically for AI engine extraction?

Section 5: Brand authority and entity work. Describe your approach to Wikipedia and Wikidata when applicable. How do you implement Organization schema with sameAs links? What PR and outreach capabilities do you have for brand authority building?

Section 6: Measurement framework. Describe the dashboards and reports you provide. What metrics do you track? What is your reporting cadence? How do you measure AI engine visibility specifically? Provide sample reports from current engagements (with appropriate redaction).

Section 7: Team composition for our engagement. Who specifically will work on our account? What is their AEO-specific experience? What is the seniority mix? Will we have dedicated team or shared resources?

Section 8: Case studies and outcomes. Provide 3 to 5 case studies of AEO engagements. For each, include client situation, work performed, measurable outcomes (AI citation rates, traffic, conversion, revenue where available), engagement duration, and client testimonial or reference.

Section 9: Pricing and structure. Describe your tier structure and pricing. What scope is included at each tier? What add-ons are available? What is the minimum engagement length? How do you handle scope changes mid-engagement?

Section 10: References. Provide 5 current clients we may contact for reference, with a range of engagement durations and outcomes.

Section 11: Specific questions about our situation. Provide a 1 to 2 page response to: based on the brand and context information provided in this RFP, what would you prioritize in the first 90 days, and what outcomes would you expect in 6 to 12 months? Include any clarifying questions that would shape your approach.

The Section 11 response is often the most informative differentiator. Agencies with substantive AEO thinking produce specific, contextual responses; agencies with generic capability produce generic responses.

Scoring Rubric For RFP Responses

The scoring rubric should weight the capability areas based on their relative importance to the brand.

Sample scoring rubric (adjust weights to fit specific priorities):

Technical capabilities: 15 percent weight.

AI engine expertise: 25 percent weight. (Most important differentiator)

Content strategy and production: 15 percent weight.

Brand authority and entity work: 10 percent weight.

Measurement framework: 10 percent weight.

Team composition: 10 percent weight.

Case studies and outcomes: 10 percent weight.

Pricing: 5 percent weight.

References: noted separately (not scored, but used to verify other claims).

Within each capability area, score on a 1 to 5 scale with specific criteria:

5: Exceptional, clearly above market norm. Specific examples, advanced expertise, demonstrated outcomes.

4: Strong, above market average. Clear competence, specific examples, good outcomes.

3: Competent, market average. Standard answers, adequate examples, reasonable outcomes.

2: Below average. Generic answers, weak examples, mixed outcomes.

1: Unacceptable. Inability to demonstrate competence, missing examples, no outcomes.

The scoring should be done by multiple stakeholders independently, then reconciled. Single-person scoring introduces bias and miscalibration.

The final selection combines the scored evaluation with reference checks, cultural fit considerations, and contractual terms. The scored evaluation should be the dominant input but not the sole input.

The RFP Process Timeline And Cadence

The RFP process timeline that supports thorough evaluation typically runs 8 to 16 weeks from kickoff to contract signing.

Week 1 to 2: Internal preparation. Define the engagement scope, budget range, decision criteria, and stakeholder list. Build the RFP document.

Week 3 to 4: Long list outreach. Send the RFP to 8 to 15 candidate agencies. Allow 4 weeks for response.

Week 5 to 8: Agencies respond. Some agencies decline based on fit; others submit responses.

Week 9: Initial scoring. Internal stakeholders score responses independently against the rubric. Schedule reconciliation meetings.

Week 10 to 11: Short list interviews. Top 3 to 5 agencies receive interview invitations. Each interview includes the working team that would handle the account, not just sales representatives.

Week 12: Reference checks. Contact references for the 2 to 3 finalist agencies. Verify the claims made in their RFP responses.

Week 13 to 14: Final decision. Internal stakeholders make the final selection. Notify the winning agency and unsuccessful agencies.

Week 15 to 16: Contracting. Negotiate the contract, scope of work, and pricing. Sign and prepare for kickoff.

The timeline can be compressed when needed but compression typically produces worse outcomes. 4-week RFPs often select on superficial factors because there is not time for substantive evaluation.

For ongoing relationships, the RFP should be revisited every 2 to 3 years to ensure the agency continues to be the right partner as the brand and the market evolve. The recurring RFP creates competitive pressure that keeps agencies sharp.

Common RFP Mistakes That Produce Poor Agency Selection

Several recurring mistakes consistently produce poor agency selection outcomes.

  • Using a generic marketing services RFP - The AEO-specific capabilities do not surface. Specialty RFPs produce specialty selections.
  • Asking too many low-value questions - RFPs that ask for company history, leadership bios, office locations, and similar tangential information produce response fatigue. Agencies put effort into the polish rather than the substance. Focus questions on what matters for the selection.

Not asking for case studies with measurable outcomes. Agencies provide what is asked for. If the RFP does not require quantified outcomes, agencies do not provide them. The result is that all agencies look similar.

Scoring before all responses are received. Comparing the first response to nothing produces poor calibration. Wait for all responses, then score against the same standard.

  • Underweighting AI engine expertise - The AI engine optimization capabilities are the central AEO differentiator. RFPs that weight it equally with traditional SEO produce selections that fail on AI engine outcomes.
  • Skipping references - The RFP response represents what the agency claims. References reveal what clients actually experienced. The reference checks are essential.
  • Selecting on price - The cheapest agency is rarely the right agency for substantive work. Price should be one consideration among many, weighted appropriately.

Not involving the working team in interviews. Sales presentations differ from working team interactions. The team that will deliver the work should be part of the evaluation.

Allowing scope creep during pricing. Agencies sometimes win on a stated price that excludes substantial scope. Verify the scope thoroughly before signing.

Not establishing success metrics in the RFP. The RFP should describe how the brand will evaluate success during the engagement. Agencies that cannot describe how they will measure outcomes against those metrics flag a delivery risk.

Six Red Flags In Agency RFP Responses

Six specific patterns in RFP responses indicate poor agency fit.

  1. Generic responses to specific questions. Questions about specific tools, specific tactics, or specific situations should receive specific answers. Generic answers indicate the agency does not have substantive depth in the areas asked.
  2. Case studies without quantified outcomes. Case studies that describe what the agency did without the specific results it produced indicate either weak outcomes or weak reporting. Both are concerning.
  3. Inability to name specific AI engines or tools. Agencies that talk about AI optimization without naming specific engines, specific tools, or specific tactics often have surface-level capability.
  4. No clear differentiation from competitors. Agencies that describe themselves in language that could fit any agency lack clear positioning. The positioning matters because it indicates what the agency actually believes about its strengths.
  5. Pricing that does not match scope. Pricing that sounds attractive but excludes substantial scope (technical SEO work, content production volume, multi-engine coverage) usually indicates either bait-and-switch or scope confusion.
  6. References that cannot be verified or that produce vague feedback. References that are unreachable or that decline to discuss specific outcomes flag delivery problems the agency does not want surfaced.

Frequently Asked Questions

Should we send the RFP to a long list of agencies or a short list?

Mid-size list (8 to 15 agencies) usually produces the best balance. Long lists (25+) overwhelm the evaluation team. Short lists (3 to 5) may miss strong candidates. The mid-size list provides enough comparison without overwhelming evaluation capacity.

How transparent should we be about budget in the RFP?

Provide budget ranges rather than exact numbers. The range helps agencies calibrate their proposals. Exact numbers tend to anchor all responses at the same price, reducing differentiation.

Should we share confidential information in the RFP?

Strategic context yes; competitive intelligence no. Agencies need to understand the brand's category, audience, and goals to propose substantive approaches. Specific competitive positioning or product roadmap information should be reserved for shortlisted agencies under NDA.

Can we run an RFP without involving procurement?

For smaller engagements (under $200,000 annually) often yes. Larger engagements typically involve procurement for contract negotiation and compliance reasons. The marketing team should drive the substantive evaluation; procurement handles the commercial terms.

What if no agency response meets our scoring threshold?

Either restart with a different long list, broaden the search to international agencies, lower the threshold based on realistic market expectations, or consider in-house build instead. The non-fit RFP signal should not produce a forced selection.

How do we handle agencies asking for clarification during the RFP?

Welcome the questions. Substantive agencies often ask substantive clarifying questions during the response period. Share clarifications with all responding agencies to keep the process fair.

The AEO RFP is one of the more consequential procurement decisions for brands building serious AEO programs. The well-designed RFP produces meaningful agency comparison; the poorly designed RFP produces selection on superficial factors that fail in delivery.

The investment in proper RFP design pays back many times in better agency selection and stronger engagement outcomes. Brands using the template approach surface real capability differences and select partners who deliver against the brand's actual needs.

If your team is preparing an AEO RFP and wants help refining the question structure for your specific situation, that work sits inside our generative engine optimization program. The brands selecting strong AEO partners are the brands whose RFP process surfaces the capability differences that matter, not just the surface differences that all agencies can polish.

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