AEO RFP Template for Choosing a Platform or Partner

An AEO RFP template helps you compare platforms and partners on how they monitor and improve your brand’s visibility in AI-generated answers. Use it to define what you need, ask every bidder the same questions, and score evidence rather than promises. This guide includes a copy-ready RFP, a 100-point evaluation rubric, and steps for checking whether a proposal is credible.

A traditional SEO brief is a useful starting point, but it may not ask about answer citations, changes between repeated prompts, or visibility across AI search surfaces. Adapt the questions to your business and procurement requirements, then use SearchFIT’s resources to explore related AI search guidance and its pricing page if you are also comparing software costs.

The aim is not to find a supplier that guarantees a place in ChatGPT or Google AI Overviews. No vendor can control the answers these services generate. The aim is to select a team or tool that can show its methods, work safely, and help you learn what is changing.

AEO RFP template: what to include

An AEO request for proposal (RFP) is a document that explains your requirements and invites vendors to describe how they would meet them. A useful RFP should help you compare both AEO platforms and service partners without pretending they do the same job.

A platform can collect and organise observations. A partner can interpret those observations and carry out work such as content updates, technical changes, or media outreach. Some suppliers offer both, often packaging deliverables using frameworks like ChatFeatured's agency retainer playbook. Ask them to separate software, services, and any pass-through costs in their response.

Use these six sections as your starting structure:

1. Company context and objectives.
2. Scope, markets, audiences, and AI search surfaces.
3. Measurement, prompt sampling, and reporting.
4. Technical, content, and off-site capabilities.
5. Security, governance, and ethical requirements.
6. Commercial terms, deliverables, and evaluation.

The questions in the template below are deliberately specific. Replace the bracketed text with your requirements, remove questions that do not apply, and add your legal or security team’s mandatory clauses before sending it to bidders.

Who should use this template

This template is for marketing, procurement, digital, content, analytics, and security teams assessing an AI visibility platform, AEO agency, or combined service. It works for B2B software, ecommerce, agencies, and larger organisations across diverse industries with multiple products or markets.

For a narrow software purchase, focus on data sources, coverage, repeatability, access controls, and export options. For a partner engagement, focus on the work they will do, who will do it, what you must supply, and how outcomes will be evaluated. For a combined proposal, require separate scores and costs for each part.

If you are weighing a service partner against an in-house approach, compare SearchFIT with agencies as one input to your evaluation. The comparison should not replace your own RFP or security review.

Goal, inputs, and success criteria

Goal

By the end of this process, your team should be able to:

• Describe the business problem the AEO programme is meant to address.
• Compare suppliers on the same scope and evidence requirements.
• Identify gaps in measurement, execution, security, and cost.
• Select a supplier, run a controlled pilot, or decide that you are not ready to buy.

What you need before you start

Gather the following information before drafting the RFP:

• Business context: Your business model, products, regions, audiences, and buying cycle.
• Current search work: Existing SEO priorities, analytics, content programmes, agencies, and reporting tools.
• Known questions: Customer questions, sales objections, product comparisons, and the types of prompts you want to investigate.
• Surfaces to evaluate: For example, ChatGPT, Perplexity, Google AI Overviews or AI Mode, Claude, and Gemini. List only the surfaces relevant to your audience and procurement needs.
• Access and constraints: Analytics access, server or CDN logs, content systems, legal review, data residency needs, and security requirements.
• People and time: An executive sponsor, a day-to-day owner, subject-matter experts, procurement, and security or legal reviewers.
• Budget range and contract preferences: Include whether implementation, media costs, API usage, and internal labour are within or outside the budget.

Do not ask suppliers to guess your budget, baseline, or internal capacity. State what you know, mark what is unknown, and ask them to explain their assumptions.

Define success before inviting proposals

Choose success measures that match your intended outcome. Examples include the consistency and accuracy of brand information in answers, citations to useful pages, coverage of priority prompts, referral visits, and qualified pipeline influenced by AI search. These measures are not interchangeable.

Separate what the supplier can deliver from what your organisation hopes to achieve. A supplier can commit to monitoring, analysis, a content plan, or agreed implementation work. It cannot guarantee that an independent AI service will mention your brand, cite a particular URL, or generate a sale.

Write down a baseline plan. If you do not yet have reliable baseline data, ask bidders to explain how they would collect it, what the first report will include, and what limitations apply. For additional context on planning a programme, see SearchFIT’s 90-day AI visibility roadmap.

Copy-ready AEO RFP template

Copy the sections below into your procurement document. Replace each bracketed item and delete any instructions that do not apply. Keep the same questions and response format for every bidder so your evaluation is fair and comparable.

1. RFP overview and response instructions

Organisation: [Company name]
RFP owner: [Name, title, email]
Issue date: [Date]
Questions due: [Date]
Proposal due: [Date]
Expected decision date: [Date]
Proposed start date: [Date]

Purpose

[Company name] is seeking proposals for [an AEO or AI visibility platform / an AEO partner / a combined platform and service] to help us understand and improve how our organisation and products are represented in AI-generated answers and relevant search experiences.

Instructions to bidders

• Answer each numbered requirement in order.
• Label each requirement as supported, partly supported, not supported, or planned.
• For every supported capability, provide evidence. Evidence can include a redacted sample report, product documentation, a demonstration, or a reference that the bidder is permitted to share.
• Identify third-party tools, data providers, model access, and subcontractors used to provide the service.
• Separate standard features from custom work and future roadmap items.
• State assumptions, exclusions, dependencies, and any extra charges.
• Do not include confidential data about another customer in your response.
• Proposals must remain valid until [date].

Suggested response format

2. Company context and scope

About our organisation

• Business model: [B2B SaaS, ecommerce, agency, other]
• Main products or services: [Describe them]
• Priority customer groups: [Describe audiences and buyers]
• Priority regions and languages: [List them]
• Relevant brands, product lines, and domains: [List them]
• Current search and content programme: [Summarise people, tools, and work]
• Current known challenges: [For example, inaccurate descriptions, missing citations, limited reporting]

Objectives

Our main objectives are: [List the business questions this work should answer]. Examples might include checking whether an AI answer accurately describes a product, understanding which sources appear in product comparisons, or identifying pages that could better answer a high-value customer question.

In scope

• Surfaces to monitor: [List the AI search experiences and versions relevant to this project]
• Countries, languages, and markets: [List]
• Brands and product categories: [List]
• Prompt or question themes: [List initial themes or explain how they will be agreed]
• Work requested: [Monitoring, research, technical review, content work, digital PR, training, other]
• Internal systems or data to connect: [Analytics, CRM, search console, logs, CMS, other]

Out of scope

[List activities, regions, brands, or data that are excluded. State whether paid media, link building, website development, and content production are included.]

Questions for the bidder

1. What additional information do you need before you can confirm the scope?
2. Which requested elements are not currently supported by your product or team?
3. What assumptions could materially change your plan or price?
4. How would you divide responsibilities between your team and ours?
5. What would you recommend removing or postponing, and why?

3. Measurement and prompt methodology

We want to understand what you measure, how observations are collected, and what conclusions the data can and cannot support. Please describe your methodology in enough detail that our team can reproduce or audit the process where practical.

Prompt planning

1. How do you develop, group, and maintain prompts or questions?
2. How would you represent different buyer needs, such as category discovery, product comparisons, alternatives, and feature or use-case questions?
3. How do you decide which prompts matter most to our business?
4. Can we review and approve prompts before they enter a tracking programme?
5. How do you record changes to prompts, markets, model versions, settings, or data collection methods?
6. Can you distinguish prompts with a clear commercial purpose from broad informational prompts?

Repeatability and variation

AI answers can vary across runs, wording, context, and service updates. Explain how your approach treats that variation. Do not present a single observation as a stable ranking or a guaranteed result.

Please answer:

• Do you repeat prompts? If so, how often and under what conditions?
• How do you report differences between runs rather than hiding them in an average?
• Can we see the date, surface, prompt wording, answer, citations, and collection conditions for each observation?
• How do you handle unavailable answers, failed collections, or changes in access to a surface?
• How do you decide when an apparent change is meaningful enough to investigate?
• What is your approach when a surface changes its answer format or citation behaviour?

State the recommended sample design for our use case and explain its limitations. A bidder may suggest a number of repeat runs or a refresh schedule, but must label these as proposed design choices, not as a universal standard.

Metrics and definitions

Provide your definitions and calculation methods for each metric you recommend, referencing practical AEO KPIs to track performance. At a minimum, explain whether you report:

• Brand mention: The brand appears in the answer text.
• Citation: A source is visibly attributed or linked by the surface.
• Brand citation: The cited source is a page owned by our organisation.
• Third-party citation: A cited source is published by another organisation.
• Accuracy: Whether factual claims about our brand match approved information.
• Sentiment or recommendation: How the answer characterises or recommends the brand, including how this is assessed.
• Share of voice: The precise comparison group, prompts, and calculation used.
• Referral traffic: Visits attributed in analytics to a relevant AI search source, where attribution is available.

Explain how you prevent a text mention from being reported as a linked citation, and how you handle answers with multiple sources or no visible source. Show a sample report with raw observations as well as any summary score.

Attribution and business outcomes

1. Which referral data can your platform or service access directly?
2. What must our analytics or CRM team configure?
3. How do you distinguish observed referral visits from estimates or inferred influence?
4. Can reporting include landing page, campaign parameters, conversion events, and CRM stages where data is available?
5. What would you avoid claiming when connecting AI visibility to revenue?

A credible response should explain both what can be measured and where attribution remains incomplete. Ask suppliers to keep observed facts separate from interpretation.

4. Platform and technical requirements

Complete this section if you are buying software or a combined offer. Service partners should answer the requirements that relate to their proposed work and identify tools they expect you to provide.

Coverage and data access

For each surface in scope, state whether you provide direct product access, a supported integration, a third-party data source, or a manual process. Explain what is actually collected and whether an answer is obtained under a logged-in, location-specific, personalised, or otherwise constrained context.

• Which surfaces and answer types are supported today?
• Which are on your roadmap, and what is the expected availability?
• Do you collect answer text, links, source names, timestamps, and prompt details?
• Can we export observations and reports in a standard format?
• What are the limits on prompts, projects, users, history, and refresh frequency?
• How are changes to underlying services reflected in historical data?
• Can we see when a result was unavailable or collected using a different method?

Do not accept a list of model names as sufficient proof of coverage. Ask the vendor to demonstrate a real workflow for the surfaces and answer types you plan to use.

Crawling and access checks

If crawler access or website logs are part of the proposal, ask the supplier to explain what they inspect and what access they need. Relevant evidence might include a sample log analysis, checks for blocked resources, or a documented review of how pages are reachable. The supplier must identify which bot identifiers or log signals it checks and how it verifies that an apparent visit is genuine.

Ask:

1. Can you work with our CDN, server, or analytics logs? Which formats do you support?
2. What permissions or data transfers would be required?
3. How do you distinguish a verified crawler from a user-agent string that could be imitated?
4. What website access problems can you identify, and what problems are outside your method?
5. How do you report findings to our engineering team in an actionable form?

Content and structured data

Describe how you review whether pages answer user questions clearly and accurately. Explain how you use page structure, internal links, entity information, and structured data where appropriate. Identify any recommendations that are optional, experimental, or dependent on the website platform.

Ask for examples of how the bidder would improve a page without making it misleading, duplicative, or difficult for a person to use. Require them to explain the source of factual statements and how subject-matter review will work.

If the bidder recommends schema markup or a file such as llms.txt, ask what specific problem it is intended to solve, how the change will be tested, and what outcome would count as success. Treat these as individual technical recommendations, not as a substitute for research, useful content, or third-party credibility.

Integrations and administration

• Which analytics, search, CRM, CMS, or reporting systems can you connect to?
• Is access read-only or write-enabled? How is permission granted and revoked?
• Do you support single sign-on, role-based access, and audit logs?
• Can teams or agency clients have separate workspaces and permissions?
• What happens to our data when the contract ends?
• Can we export prompt history, source observations, configuration, and reports?

5. Strategy and delivery requirements

This section applies mainly to agencies and service partners. A platform provider should explain whether it offers these services directly, through an approved partner, or not at all.

Research and recommendations

Explain how you will identify the questions that matter to our customers, what sources or internal teams you will use, and how recommendations will be prioritised. Tell us how sales, support, product, and customer research can inform the work.

On-site work

List the analysis and implementation tasks in scope, such as technical checks, page reviews, content briefs, content updates, structured data recommendations, or internal-link improvements. For each task, specify:

• The deliverable and its format.
• The number or scope of pages, if applicable.
• Who drafts, reviews, approves, and publishes the work.
• What access and subject-matter input we must provide.
• How you check factual accuracy and brand or legal compliance.
• Whether revisions or implementation are included in the fee.

Off-site research and outreach

Explain how you investigate third-party sources that may influence how a brand or product is described. These sources may include review sites, forums, trade publications, reference pages, or comparison articles, depending on the market. Show how you distinguish research and legitimate outreach from paid placements, undisclosed incentives, fake accounts, or fabricated reviews.

Ask the bidder to disclose any proposed payments, publisher relationships, review-generation activities, or third-party outreach costs. Require written approval before any external publication, payment, or representation made on your behalf.

Example plan and reporting

Ask each bidder to provide a proposed plan with milestones and dependencies. A possible structure is:

These are planning stages, not fixed timelines. Ask the bidder to propose timing that reflects your approval process, technical capacity, market, and contract scope.

6. Security, privacy, governance, and ethics

Your security and legal teams should define mandatory requirements. Do not treat a sales response as a substitute for a formal security assessment or contract review.

Security and privacy questions

• What company or product security certifications and independent assessments do you hold? Provide current evidence and scope.
• Where is customer data stored and processed? Which subprocessors may receive it?
• What data do you collect from our website, users, prompts, analytics, or CRM?
• Is customer data used to train or improve models? If so, explain the controls and opt-out options.
• How do you encrypt data in transit and at rest, manage access, and respond to incidents?
• What retention and deletion controls are available, including at contract end?
• Can you support our applicable privacy and data processing requirements?
• What are your breach notification and business continuity processes?

Ask for evidence, not just a yes-or-no response. Have your security team determine whether the evidence meets your organisation’s requirements.

Ethical and brand-safety requirements

The supplier must disclose its methods and agree not to use or recommend tactics that misrepresent our brand, customers, or independent sources. Your contract should explicitly prohibit, at minimum:

• Fake reviews, undisclosed incentives, or fabricated customer experiences.
• Automated or deceptive posting intended to manufacture discussion or sentiment.
• Hidden text or different content shown to crawlers than to people.
• Impersonation, unauthorised access, or attempts to manipulate an AI service.
• Claims that guaranteed citations, rankings, or placements can be purchased.

Ask how the bidder handles factual errors, sensitive topics, regulated claims, and complaints. State that no content or external communication may be published in your name without the agreed approval process.

7. Team, service levels, and references

For a partner engagement, name the people who will do the work, their responsibilities, and how much of their time is included. Ask who handles strategy, analysis, content, technical recommendations, outreach, reporting, and account management. Identify whether any work will be subcontracted.

For a platform, name the support channels, onboarding process, documentation, and escalation route. Ask the bidder to define what its support commitments cover and what they exclude.

Request references from organisations with a relevant business model or comparable requirements, where the bidder has permission to share them. Ask what the supplier actually delivered, what the customer needed to provide, and what limitations affected the work. Do not treat an anonymised outcome claim as independently verified evidence.

8. Commercial proposal and contract terms

Require a complete cost breakdown. Ask the bidder to separate:

• Platform licence or subscription.
• Setup, onboarding, and training.
• Included prompts, projects, users, data history, and refresh frequency.
• Service hours, deliverables, and roles.
• External data, API, media, or publisher costs.
• Optional work and change-request rates.
• Taxes, currency, renewal terms, and any price changes.

Ask what happens if your use grows, your team changes, or a surface becomes unavailable. Require the supplier to state any minimum term, renewal notice, termination conditions, service credits, and data export or deletion process.

Set out ownership and usage rights for created materials, configurations, prompt sets, reports, and raw data. Ask whether any third-party licence limits reuse after the contract. Define what support is provided during transition to another supplier or an in-house team.

For a rough market reference, First Page Sage’s GEO and AEO pricing statistics provide benchmarks for agency retainers, while Outreach Bloom's pricing guide and Space and Story's AEO cost comparison detail how service tiers differ across vendors. Use a benchmark as context only: actual costs depend on scope, team, market, deliverables, and contract terms. For software, ask for a live quote and a breakdown of what each tier includes; for example, Peec AI publishes its pricing, but one vendor’s published prices do not establish the right budget for another organisation.

9. Bidder declaration

Please confirm that:

• The information in this proposal is accurate to the best of your knowledge.
• You have identified all material assumptions, exclusions, subcontractors, and additional costs.
• You have disclosed any proposed paid placements, incentives, or third-party relationships.
• You will not guarantee inclusion, citations, or position in an AI-generated answer.
• You will not perform unapproved work or publish content in our name without written approval.
• You can meet the security, privacy, and ethical conditions we mark as mandatory, or have clearly identified exceptions.

Authorised representative: [Name and title]
Signature: [Signature or approved e-signature]
Date: [Date]

Score proposals with a 100-point rubric

Score each proposal against the same criteria. Ask evaluators to record the evidence behind each score, not just a number. Apply any mandatory security or ethics requirements as pass or fail gates before comparing weighted totals.

How to assign scores

Use a consistent scale within each category. For example, award full points when the bidder provides complete, relevant evidence; partial points when the capability is limited or depends on unconfirmed conditions; and no points when the bidder does not support the requirement or gives no evidence. Document your chosen scoring rules before proposals arrive.

For each score, write a short reason. “The answer was good” is not a reason. “The bidder demonstrated a report showing the original prompt, dated answer, cited URLs, and run-to-run differences” is useful evidence.

Use gates for non-negotiable requirements

Some requirements should not be traded off against a high overall score. Mark your mandatory conditions in advance. These may include security approval, a signed data processing agreement, restrictions on customer data use, ethical methods, or a minimum export capability.

If a bidder fails a mandatory condition, record the failure and follow your procurement policy. Do not quietly award points elsewhere to make the total look acceptable. If a response is unclear, ask the same written clarification question of all bidders facing the same ambiguity.

Add a practical demonstration

Invite shortlisted suppliers to complete the same scenario using either a sample brand or information you have approved for disclosure. Ask them to show:

1. How they would define a small set of prompts for a real business question.
2. What raw observations and citations they can provide.
3. How they would explain different answers across observations.
4. How a finding would become a content, technical, or research recommendation.
5. How the recommendation would be approved, implemented, and checked.

Do not let a polished dashboard substitute for a clear explanation of the underlying data. For an agency, ask the proposed delivery team to attend. For a platform, ask the person who can explain collection methods and limitations.

Run the RFP process step by step

Step 1: Agree the buying decision

Decide whether you are looking for a monitoring tool, a delivery partner, or both. Name the business owner and the procurement owner. If the question is not clear, suppliers will respond with different assumptions and their proposals will be hard to compare.

What you should see: A short internal statement that describes the problem, the intended buyer, the scope, and the decision you need to make.

How to check it worked: Ask a marketing lead, a procurement colleague, and a technical reviewer to explain the proposed purchase in the same way. If each describes a different need, tighten the brief before issuing it.

Step 2: Set a baseline and scope

List your current reporting, relevant analytics access, priority products, markets, and known information gaps. Mark unknowns honestly. Decide which surfaces and questions are in scope and which you will defer.

What you should see: A scope that is specific enough to price, but does not claim to know answers you have not yet measured.

How to check it worked: A bidder should be able to identify its assumptions and propose a method for resolving unknowns. If you cannot tell what would be included in the price, add a scope question.

Step 3: Add requirements and mandatory gates

Copy the template and tailor it to your company. Ask marketing, analytics, content, engineering, security, legal, and procurement to review the relevant sections. Mark essential requirements separately from preferences.

What you should see: One approved version of the RFP, with consistent definitions and no conflicting instructions.

How to check it worked: Confirm each requirement has an owner who can evaluate it. Remove questions that nobody can assess or that do not affect your decision.

Step 4: Invite a comparable set of bidders

Invite suppliers that plausibly fit the scope. Send the same RFP, submission deadline, and clarification process to each. Where you answer a question that changes the requirements, share the response consistently with all bidders, following your procurement rules.

What you should see: Proposals that respond to the same questions and use the same scope assumptions.

How to check it worked: Compare the submitted response tables. If bidders have interpreted a core term differently, document a clarification rather than guessing what they meant.

Step 5: Review evidence before scoring

Check whether answers include examples, product demonstrations, documentation, and named limitations. Separate a current capability from a roadmap promise. Ask the supplier to show the raw view behind a summary metric.

What you should see: A clear evidence trail for each important claim, including what is not available.

How to check it worked: For every high-value score, an evaluator can point to a document, demonstration, or explicit response. If the evidence is missing, score the response accordingly or request clarification.

Step 6: Score independently, then discuss

Have evaluators score proposals independently before holding a consensus meeting. Compare both the total and the reasons behind it. Disagreement can reveal that a requirement is unclear or that a team has different priorities.

What you should see: A scorecard with a reason for each score, plus a list of unresolved risks and questions.

How to check it worked: Another reviewer should be able to understand why a bidder received a score without relying on someone’s memory of the presentation.

Step 7: Demonstrate and verify

Use the same scenario for shortlisted bidders. Verify claims about surface coverage, export, user access, and data retention in the product or contract. For service proposals, confirm the proposed team, effort, deliverables, and approval workflow.

What you should see: A demonstration that connects collection to interpretation and then to an action you could approve.

How to check it worked: Ask the bidder what would make its own recommendation wrong. A thoughtful answer should include limitations and alternative explanations, not only a sales claim.

Step 8: Confirm commercials, terms, and ownership

Reconcile the proposal with the draft contract. Confirm exactly what is included, what may trigger extra fees, who owns created work, what data you can export, and how either party can end the relationship.

What you should see: A final proposal and contract that describe the same scope and commercial model.

How to check it worked: Ask finance, legal, and the delivery owner to check the final price, obligations, access, data handling, and exit process before signature.

Step 9: Agree the pilot or first phase

Set the first phase up to test whether the supplier’s process works for your organisation. Agree the initial prompts, surfaces, baseline, owners, review dates, and definition of a useful finding. Include a route to stop or change direction if access, quality, or fit is poor.

What you should see: A written plan with named owners, deliverables, dependencies, and a review point.

How to check it worked: Your team can identify what it needs to provide, what the supplier will deliver, and how you will decide whether to continue.

What good answers and red flags look like

A useful proposal is specific about how work happens. It shows the process from question selection to observation, interpretation, action, and review. It also makes uncertainty visible.

Look for answers that:

• Define metrics in plain language and separate mentions, citations, and referrals.
• Show dated observations and the prompt or conditions that produced them.
• Explain how prompt wording, location, and surface coverage affect results.
• Identify which recommendations need your approval or engineering resources.
• Separate current capabilities from planned features.
• Name the people responsible for delivery and the data they need.
• Disclose paid media, software, API, or publisher costs.
• Explain how you can keep your data and work if you leave.

Treat these as red flags that need a clear answer before selection:

• Guaranteed AI placements: A supplier claims it can guarantee your brand will appear in an answer or secure a fixed position.
• A single score with no raw evidence: A dashboard gives a visibility number but does not show how it was calculated.
• Mentions presented as citations: Text in an answer is reported as a source link when no citation is visible.
• A surface list without a demonstration: The proposal names many engines but cannot show what is collected for the ones you need.
• Schema as the whole strategy: The proposal relies on technical markup alone without explaining the customer questions, content, or third-party research involved.
• Hidden outreach practices: The supplier will not disclose how it handles reviews, incentives, publishers, or social platforms.
• Unclear data rights: The vendor cannot say how to export historical observations or what happens to data at termination.
• A price that omits delivery inputs: The proposal excludes implementation, external costs, or staff time without stating that clearly.

A red flag is a reason to investigate, not always an automatic rejection. Ask for evidence, record the response, and apply your stated criteria consistently.

Frequently missed procurement details

Can we reuse our existing SEO RFP?

Use it as a base, but add requirements for AI surface coverage, answer and citation evidence, variation between observations, and clear attribution. As The Pedowitz Group's guide to answer engine optimization explains, answer engines demand distinct content structuring and source verification compared to traditional web search engines. An SEO supplier may be able to do this work, but assess its demonstrated method rather than assuming traditional rankings or traffic reports cover the new requirements.

Should we buy a tool or hire a partner?

Choose a tool when your team can interpret findings and carry out the resulting work. Consider a partner when you need specialist research, content or technical execution, or third-party outreach that your team cannot resource. A combined purchase can work, but require separate costs and deliverables so you can see what each component contributes.

Can a supplier guarantee citations?

No. AI search services control their own products and can change how answers are generated or sourced. A supplier can describe its process, deliver agreed work, and report observed changes. It cannot credibly guarantee a particular answer or citation.

What should a pilot prove?

A pilot should test the supplier’s collection method, usefulness of its analysis, ability to work with your team, and transparency about limitations. Agree what evidence you need before starting. A short-term change in an AI answer is not, on its own, proof that a supplier caused the change.

Final review checklist

Before issuing the RFP, confirm that you have:

• Defined whether the purchase is a platform, partner, or combined service.
• Listed the business questions, markets, brands, and surfaces in scope.
• Stated what is unknown and asked bidders to explain their assumptions.
• Requested clear definitions for mentions, citations, referrals, and any visibility score.
• Asked how the supplier handles varied answers and unavailable data.
• Separated mandatory security and ethical requirements from scored preferences.
• Requested evidence, raw examples, and a comparable demonstration.
• Required an itemised commercial proposal and clear ownership and exit terms.
• Set a consistent evaluation process with named reviewers.
• Avoided promising outcomes that an outside supplier cannot control.

Next step

Adapt the template to your organisation, then ask marketing, procurement, analytics, and security to review it together before you invite bids. If you want to compare a platform-led approach with external support, start with SearchFIT’s agency comparison and browse the SearchFIT blog for practical AI visibility guidance.