White Label AEO: How Agencies Should Package It

White label AEO lets an agency sell answer engine optimisation under its own brand while a specialist partner or software supports delivery. Package it around work you can control, such as a fixed prompt set, content improvements, technical checks and reporting, rather than promises of rankings or citations. Use this guide to define a sellable scope, price it with your real delivery costs in mind and explain progress clearly to clients.

If you are weighing up a tool-supported offer against outsourced delivery, start with SearchFIT’s resources for AI search and its comparison of SearchFIT and agencies. They can help you think through what your team wants to own and what it may need support to deliver.

Contents

• What white label AEO means
• Choose a delivery model
• Decide who the offer is for
• Build a three-stage package ladder
• Define scope and boundaries
• Price for margin
• Set up fulfilment
• Report useful progress
• Sell and renew the service
• Common packaging mistakes
• A launch checklist

What white label AEO means

Answer engine optimisation, or AEO, is work that helps a brand’s information become easier for search engines and AI answer tools to find, understand and use. The tools may include ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews. The work can involve improving a site’s information, clarifying what an organisation offers, structuring useful answers and building a stronger presence across relevant sources.

White label AEO is the commercial arrangement around that work. Your agency owns the client relationship, presents the offer in its own brand and bills the client. A specialist partner may conduct research, create content, implement technical changes or provide tracking software behind the scenes. Your agency remains responsible for the promise made to the client, the quality of the work and the way results are explained.

That distinction matters. A white label partner is not a shortcut around agency accountability. It is a way to extend your capacity or capabilities without hiring every specialist in-house. If a supplier misses a deadline, produces inaccurate content or gives a client misleading reporting, the client is still likely to hold your agency responsible.

AEO is related to SEO, not a replacement for it

Traditional SEO often centres on making pages discoverable and competitive in search results. AEO adds a focus on whether relevant information can be extracted, understood and represented in generated answers. The practical overlap is substantial: a technically sound website, clear content, credible sources and strong brand information can support both.

Avoid selling AEO as a completely separate discipline that makes existing SEO work obsolete. Instead, explain the different job the service is intended to do. SEO can help a useful page earn visibility in search results. AEO work can help make the brand and its answers clearer across systems that synthesise information from multiple sources. Neither service guarantees a particular result in an algorithmic answer.

For a client, the best starting point is often a combined view: what does the brand already rank for, what questions matter to buyers, where does the brand appear in AI answers, and what information or authority gaps are getting in the way?

What the agency is actually packaging

A client is not buying a vague promise to “do AI”. They are buying a programme of defined work and an understandable way to review it. A well-packaged service makes clear:

• Which questions, topics or prompts are in scope.
• Which AI search experiences and traditional search surfaces will be reviewed.
• What content, technical and brand-information changes are included.
• Who approves and publishes the work.
• How often the agency reports and what the report can and cannot prove.
• What happens when new requests fall outside the agreed scope.

This is the foundation of a credible white label offer. The partner performs part of the work, but the agency has to turn it into a coherent service clients can understand and renew.

Choose a delivery model

There are three broad ways to deliver white label AEO. The right choice depends on your agency’s skills, available capacity and appetite for operational responsibility. Don’t select a model based only on the lowest supplier quote. Compare the work you can confidently own with the work you would need to learn, supervise or redo.

White label software

Software can help monitor selected prompts, compare brand mentions and organise reports. Your own team then decides what the findings mean and carries out the work. This may suit an agency that already has experienced strategists, writers and technical specialists, but wants a more consistent way to observe AI visibility.

Before choosing a tool, test the reporting workflow with real client questions. Ask whether the team can define a repeatable prompt set, compare results over time and explain fluctuations. Check who can access client data, whether reporting can be branded, how the tool handles different engines and what data is retained. A branded dashboard does not by itself make a service valuable. The analysis and actions attached to it do.

Managed fulfilment

A managed partner can take on defined parts of research, content production, technical analysis or reporting. This can reduce the amount of specialist capacity your agency needs to recruit before launching an offer. It does not remove the need for an internal service owner. Someone on your side must brief the supplier, review the work, resolve client questions and keep the programme aligned with the agreed outcome.

When comparing partners, review a sample deliverable, not just a sales deck. Ask how they validate facts, handle changes in AI products, document methods and flag uncertainty. Ask what is included in the wholesale price and what triggers extra charges. Read the AEO Engine overview of white label AEO services as one example of how a provider describes outsourced execution, then use your own due diligence before choosing a supplier.

Hybrid delivery

Hybrid delivery is often the most practical place to begin. Your agency can own the audit framing, client advice and final recommendations, while outsourcing specialist research or structured content production. You can then bring more of the work in-house as your process matures, or retain a partner for specialist capacity.

Write down who owns each step. For example, the agency could define the client’s priorities and approve recommendations, while a partner monitors a pre-agreed prompt corpus and drafts content. The client might own publishing access and final approval. If these roles are unclear, work gets delayed and responsibility becomes difficult to explain.

Decide who the offer is for

AEO is not automatically a fit for every client. The best prospects have a meaningful reason to be considered in an answer: a defined category, a clear offer, useful expertise or products that buyers compare. They also have the ability to act on recommendations, whether that means updating a website, improving brand information or building a stronger third-party presence.

Start with client need rather than the novelty of the channel. Look for clients who:

• Depend on discovery and comparison before a purchase.
• Have a recognised product, service or area of expertise to describe.
• Already invest in content, SEO, digital PR or brand marketing.
• Can provide accurate source material and approve changes promptly.
• Want to understand AI search visibility without demanding guaranteed placement.

B2B SaaS companies may care about whether they appear in software comparisons, category explanations and vendor shortlists. E-commerce brands may want product and category information to be easy to understand and consistent. Professional services firms may need accurate descriptions of their expertise, location and credentials. The actual prompt set and content plan should reflect the buying journey for that business, not a generic list copied from another account.

Qualify the client before pitching a retainer

Ask what the client wants to change. Is the problem that buyers do not know the brand, that the website does not explain its offer well, or that competitors dominate a set of recommendations? These are different problems. AEO may contribute to solving some of them, but it cannot substitute for product-market fit, a weak offer or an uncompetitive customer experience.

Ask what evidence the client already has. Review search analytics, existing SEO work, referral sources, branded search trends and the questions sales teams hear. Ask whether the client has tested AI answers and, if so, how. A single anecdotal prompt is useful as a lead for investigation, not as a stable baseline.

Also check readiness. If the client cannot approve factual content, will not grant access for technical checks or has no process for publishing changes, explain the likely impact on delivery. A supplier can prepare recommendations, but the agency cannot promise that a site change will go live when the client controls the site.

Sell a business problem, not fear

Clients may hear dramatic claims about AI replacing search traffic. Avoid using fear as the main reason to buy. Explain what is changing, what is known about that client’s current visibility and what can be tested next. If you cite an industry forecast or survey, name its source, describe its limits and do not present it as a prediction for that individual client.

A useful sales conversation might say: “We can establish how often your brand appears across a defined set of buyer questions, identify which sources are shaping the answers and agree a practical improvement plan. We can measure whether the pattern changes, but we can’t control how an AI system answers every user.” That is more credible than guaranteeing that a client will become the top recommendation.

Build a three-stage package ladder

A clear package ladder makes the service easier to sell and easier to fulfil. Use a one-off diagnostic to establish a baseline, a core retainer to address recurring needs and a larger programme for clients with broader markets or more complex authority work. You can adjust deliverables by client, but keep the underlying structure consistent.

The package examples below are starting points, not universal market rates or fixed industry standards. The prompt volumes, asset counts and prices should be validated against your own team’s capacity, the partner’s wholesale costs and the client’s level of complexity. First Page Sage’s GEO and AEO pricing report reports market pricing benchmarks, including a median retainer and averages for audits and projects. Use that report as context, not as a price list for your agency.

Entry offer: AI visibility baseline and action plan

The audit should be a bounded project with a clear finish line. Its purpose is to answer: where does the client appear today, what information or source gaps are visible, and what should happen next? It should not become a free, open-ended strategy engagement disguised as a sales exercise.

A practical audit can include:

• A defined set of buyer questions or prompts, grouped by topic and intent.
• A baseline review across a selected group of AI answer experiences.
• A competitor comparison that records mentions, recommendations and cited sources.
• A review of key brand facts, priority pages and relevant structured data.
• A technical check for basic accessibility and content rendering issues.
• A prioritised action plan, with owners and recommended next steps.

As a working example, an agency could agree to test a fixed set of 50 to 100 prompts over a fixed audit period. That is a scoping choice, not a universal benchmark. The count should be large enough to reflect the client’s important topics and small enough for the team to review and interpret consistently. State whether the audit captures one response per prompt or repeats tests, and record the date, engine and method.

The final presentation should show the evidence and limitations. Include examples of relevant answers, the sources cited and the types of gap found. Keep raw observations separate from recommendations. If a brand is not cited in a sample, do not conclude that it is invisible everywhere. Say what was tested and what the sample suggests.

Core offer: ongoing visibility and improvements

The core retainer should combine a stable measurement routine with a manageable amount of implementation. A client paying monthly needs to see that the agency is doing more than refreshing a dashboard. Each period should connect what was observed to what the team changed or plans to change.

A core package might include:

• A locked prompt set, segmented by the client’s priority themes.
• Regular monitoring and a concise review of meaningful changes.
• A planned number of answer-led content improvements or new assets.
• A review of key entity information and relevant structured data.
• A technical issue log with severity, owner and status.
• A branded monthly report and a strategy discussion.

You might begin with a smaller set of questions and a few content improvements each month, then increase scope for a larger or more competitive account. Be explicit about whether content means a brief, a draft, a rewrite or a published page. A partner’s “content asset” may not include interviews, design, CMS implementation or client revisions. Define the unit before the contract is signed.

Advanced offer: authority and wider market coverage

A more involved programme can extend the prompt set, cover more products or markets and coordinate work beyond the client’s website. That might include digital PR planning, review-site profile improvements, factual source corrections or carefully managed participation in relevant community conversations.

External presence needs a clear ethical boundary. Do not sell automated comments, fake reviews or manufactured discussions as “seeding”. Any contribution must be truthful, relevant, appropriately disclosed where required and consistent with the rules of the platform. The client should approve the claims being made on its behalf. If a programme includes earned media or third-party placements, explain what the agency controls and what depends on editorial decisions.

The Brandify guide to white label AEO and GEO agencies and ALM Corp’s guide to white label GEO offer examples of how providers frame these services. Treat provider descriptions as examples of market positioning, not independent proof that a specific tactic will earn citations.

Keep the ladder easy to compare

The packages should differ in a way the client can understand. Avoid making the premium tier look better only because it contains a longer list of vague tasks. Show the actual differences in coverage, work volume, strategic involvement and reporting.

Define scope and boundaries

Scope is where a white label AEO service becomes either profitable or painful. Use a statement of work that translates the package into specific outputs, review cycles and client responsibilities. Avoid language that leaves the client to infer that every AI-search task is included for one monthly fee.

Fix the prompt corpus

A prompt corpus is the agreed collection of questions used for tracking. Organise prompts around buyer tasks, such as learning about a category, comparing options, checking suitability or finding a provider. Keep the wording stable enough to compare over time, and document why each prompt matters.

Define how prompts are selected, how often they can be changed and who approves additions. A client should not expect unlimited ad hoc tests to be added to a fixed monthly price. You can include a small allowance for replacing irrelevant prompts, then price larger changes as a scope adjustment. Keep a record of prompt changes so that a new result is not mistaken for a performance shift when the measurement set itself changed.

Also define the engines and surfaces. A prompt asked in a tool with web search enabled may return a different kind of answer from a prompt in another mode. Product names and features change. Record the environment and testing date, and explain that results may vary by location, account settings and time.

Define content as a deliverable

“Answer-ready content” is not a sufficiently precise contract term by itself. State whether the agency will research and brief the asset, draft it, edit an existing page, provide schema recommendations or publish the finished work. Clarify the expected format, length where relevant, number of review rounds and who supplies source material.

Useful content work often makes important facts easier to locate and interpret. For example, a page might answer a key question directly near the top, define specialist terms, use a comparison table where it genuinely helps, identify the organisation behind the advice and link to supporting evidence. This does not mean every page needs an FAQ section or a particular schema type. Choose the format that suits the question and the page’s purpose.

For practical editorial ideas, see SearchFIT’s guide to content strategies for AI search visibility. Use its recommendations as a starting point, then adapt them to the client’s subject, expertise and audience.

Separate technical recommendations from implementation

An audit can identify issues with crawl access, rendering, structured data or page clarity. It does not automatically include a website rebuild or every developer task required to fix them. Say whether the agency is diagnosing, specifying, implementing or testing the change.

For example, a package might include reviewing selected pages and documenting relevant schema recommendations, while a CMS migration or custom engineering work is quoted separately. This avoids a common mismatch: the agency prices a strategy retainer, while the client assumes it includes unlimited development.

Be careful with technical claims. Structured data can help machines interpret page information, but it does not compel an AI system to cite a page. Similarly, a file or crawler setting should be reviewed in the context of the relevant platform’s current documentation. Do not imply that one technical switch guarantees visibility.

Set clear rules for external work

Third-party sources may influence what an answer engine finds about a brand, but your agency cannot control every publisher or community. Specify which activities are included, whether outreach is included, who approves statements and what happens when a placement cannot be secured.

Do not promise a fixed number of editorial mentions unless the agency has the rights and ability to deliver them. Do not buy fake engagement or use deceptive methods. If the client asks for a questionable tactic, explain the risk and recommend a legitimate alternative, such as improving a directory profile, contributing expert material or pitching a genuinely useful resource.

Use exclusions as a service-quality tool

Exclusions are not a way to avoid helping the client. They protect the time needed to do the agreed work well and make it easier to quote separately for additional needs. Common exclusions include:

• Guaranteed rankings, citations, recommendations or traffic.
• Unlimited prompt testing and unplanned competitor research.
• Full website redesigns, migrations or development projects.
• Unapproved claims, fake reviews or automated community posting.
• Legal, regulatory or subject-matter sign-off that belongs to the client.
• Publication, outreach or media placement that depends on a third party.

Write exclusions in plain language and explain the path to add work. A client is more likely to accept a boundary when they know what is included and how an extra request will be estimated.

Price for margin, not just markup

Pricing should account for the partner invoice and the agency’s own cost of selling, managing and checking the service. A wholesale price is only one part of the cost base. If the agency needs a strategist to brief the supplier, review content, attend meetings and rewrite reports, those hours belong in the calculation too.

A useful internal formula is:

Contribution margin = (client fee - direct fulfilment costs - allocated account and delivery costs) ÷ client fee

Use your own loaded labour cost, which should include more than an employee’s hourly wage. Include relevant tools, project management time, quality control, client meetings and likely revisions. The result is a better view of what the agency keeps after delivering the work.

Work backwards from delivery capacity

Before setting a retail price, estimate the work required for each package. Ask the supplier to itemise the fulfilment cost and assumptions. Estimate your own hours for onboarding, client communication, quality review and reporting. Add a realistic allowance for revisions and internal coordination.

Then check whether the proposed retail fee supports the margin you need. If it does not, you have several options: reduce the included work, use a more efficient workflow, change the supplier arrangement, or raise the price. Do not hide the problem by assuming the account team will absorb the extra time.

Use market benchmarks as context

First Page Sage’s GEO and AEO pricing report gives one view of market pricing, including a reported median monthly retainer of $6,850 and an average audit price of $4,300. These figures describe the report’s sample, not a rule that every agency should charge the same amount. Scope, geography, client complexity and delivery model can all change what a fair price looks like.

Other white label providers also publish their service positioning and package approaches. For instance, the AEO Engine white label service page describes a managed-service option, while First Page Sage offers benchmark context. Use published prices as a reason to ask better questions, not as a substitute for costing your own service.

A simple illustrative margin example

Imagine an agency charges a client $5,000 per month for an AEO programme. In this example, a partner charges $2,000, the account strategist costs the agency $450 for three hours of work and allocated reporting software costs $150. The agency has $2,400 left before overheads, tax and any other unallocated costs. The contribution margin in this illustrative example is 48 per cent.

This is an arithmetic example, not a market benchmark or a promise about what an agency will earn. It also shows why a headline markup can be misleading. The agency does not keep the difference between the client fee and partner invoice if it has meaningful delivery and account costs of its own.

Protect the economics in your contract

Your agreement should explain what happens when the client’s needs change. Set a process for additional markets, prompt sets, product lines, approval rounds or technical implementation. If the client pauses content approvals or delays access, state how that affects the delivery schedule.

Review profitability after the first delivery cycle and again after renewals. Compare estimated hours with actual hours, and compare planned partner costs with invoices. If a package consistently requires extra revisions, update the workflow or price. A small, regular review is better than discovering months later that a popular service is loss-making.

Set up fulfilment before you sell

A service is only scalable when the work can move reliably between the agency, partner and client. Document the workflow before you sign multiple accounts. You do not need a large operations manual, but you do need clear owners, inputs, review stages and deadlines.

Vet the partner

Ask the partner to show how they produce and check work. Useful questions include:

• How are prompt sets created and maintained?
• What exactly is included in monitoring and reporting?
• How are content claims checked against client-provided sources?
• Who reviews technical recommendations before delivery?
• What information does the partner need from the client?
• How are client data and account access protected?
• What are the turnaround times and revision limits?
• What happens when a platform or reporting method changes?
• Can the partner supply an editable report or raw observations?

Do not let a supplier’s white label capability prevent you from inspecting its work. Ask for a sample with identifying details removed, then assess whether the method is clear enough for your team to stand behind. Confirm whether the supplier will communicate directly with the client and, if so, how that fits your brand and contract.

Create a repeatable onboarding process

A good onboarding process gathers the information the partner needs before work starts. It should cover the client’s products, priority audiences, competitors, regions, brand language, approved facts, existing content, analytics access and publishing workflow.

Ask the client to nominate a decision-maker and a subject-matter reviewer. Set out how quickly they are expected to review drafts. If an approval deadline is missed, explain whether the publication date shifts. These details sound administrative, but they directly affect whether a content plan can be delivered on schedule.

Add quality assurance

Do not forward a partner’s report without reviewing it. Your check should confirm that the work matches the agreed scope, the observations are represented accurately, recommendations are relevant and client-specific, and all claims can be traced to a source or client-approved material.

For content, check factual accuracy, tone, originality, intent and usefulness. For reporting, check that changes in the prompt set or testing conditions are disclosed. For technical recommendations, check that the issue is described clearly enough for the client’s developer to assess. Your review is part of the service, not an optional extra.

Report useful progress without overclaiming

A client report should answer four questions: what did we measure, what changed, what did we do and what should happen next? Avoid presenting an impressive dashboard with no interpretation. The most useful report connects evidence to a decision.

Track a small, relevant set of measures

A practical report can include:

1. Brand presence: How often the brand appeared across the agreed prompts and tested environments.
2. Citation and recommendation context: Whether it was linked, named, recommended, compared or absent in the sampled answers.
3. Source patterns: Which domains or pages appeared as cited sources, where the tool exposed them.
4. Content and technical delivery: What the agency completed, what is pending and what needs client input.
5. Business signals: Relevant referral sessions, enquiries or conversions where tracking is available and reliable.

SearchFIT’s articles on AEO KPIs for client retention and agency reporting dashboard templates offer further ideas for turning measures into a client-facing report.

Explain variation and limitations

AI answers can vary across sessions and over time. They may also differ by tool, prompt wording, search mode or context. That means a single observation is a weak basis for a claim about overall visibility. Use a consistent method, record the conditions and discuss trends across the agreed sample rather than treating one answer as a definitive result.

Make clear that “share of model” or citation frequency is your defined measurement for a selected prompt set. It is not automatically a universal market share or a measure of every possible AI answer. State the denominator. For example, explain whether the figure is based on prompts where the brand appeared, prompt tests that returned an answer or repeated observations across a set period.

Separate activity from outcomes

A report should distinguish work completed from results observed. Publishing a page is an activity. A change in brand mentions across a prompt sample is an observation. More qualified enquiries may be a business outcome, but attributing them to AEO requires reliable tracking and careful interpretation.

AI referral traffic is worth monitoring where analytics tools identify it, but it will not capture every influence. A person may encounter a brand in an AI answer and later visit directly, search for the brand or convert on another device. Report the data you have, note tracking limits and avoid claiming that every later conversion came from the programme.

Make the report a decision tool

End each reporting period with a short action list. Identify which work is complete, what has been learned, what should be changed and what decision or input is needed from the client. If visibility is flat, explain whether the next move is to refine the content, revisit the prompt set, improve factual consistency or investigate a technical issue.

A clear report may show that a tactic did not work as expected. That is still useful if the method was sound and the next action follows from the evidence. Do not make a weak result look positive by changing the measurement rules after the fact.

Sell and renew the service

A white label AEO offer is easier to sell when it fits into the agency’s existing client conversations. Position it alongside SEO, content, digital PR or brand work where there is a real connection. Do not present it as an unrelated add-on with no link to the client’s priorities.

Lead with a bounded diagnostic

The audit or baseline project can reduce the risk for both sides. The client gets a defined set of findings and a plan. The agency gets a chance to understand the client’s readiness, decision process and implementation constraints before committing to a retainer.

Avoid giving away the entire strategy in a free audit. A short qualification review can identify whether there is a fit, but deeper prompt research, competitor analysis and technical recommendations should be part of paid work. If the client only wants a score or a screenshot, explain what a score can and cannot tell them.

Make the retainer about a cycle of work

A monthly service should have a repeatable cycle: observe, interpret, prioritise, improve and review. The client should know when they will see reports, how often they will meet and what decisions are expected. The work can change as evidence develops, but the package should have a stable scope and a documented process for changes.

At renewal, review progress against the original objectives. Discuss which parts of the programme delivered value, what remains uncertain and whether the client’s priorities have changed. Renew because there is a sensible next phase, not because the client has been told that stopping will make them disappear from AI search.

Build a client-facing explanation

Give account managers a concise explanation of the offer, along with examples of what is included and what is not. They should be able to answer common questions without claiming that the agency controls AI systems. Make sure the sales team knows the difference between a diagnostic observation, a recommendation and a guaranteed deliverable.

When the agency uses a fulfilment partner, agree in advance how the arrangement will be described. You do not need to make the relationship the focus of every client meeting, but you should not misrepresent who performs work if the client asks or if your contract requires disclosure. Keep the commercial relationship clear and protect client confidentiality.

Common packaging mistakes

Selling guaranteed citations

A guarantee of a specific citation, ranking or recommendation is usually outside an agency’s control. The answer may change with the prompt, system or underlying sources. Promise the work and the method you can control, then report what happened in the defined sample.

Treating every prompt as equally valuable

A large prompt count can look impressive but produce a noisy report if the questions are irrelevant. Prioritise the questions connected to actual customer needs. Record why they belong in the corpus, and remove prompts that no longer match the client’s offer or market.

Counting content without defining it

A package that promises a number of “assets” is unclear unless the agency defines what an asset includes. A page rewrite, a research brief and a short FAQ are different amounts of work. Spell out the format, approval process and implementation responsibility.

Ignoring the agency’s own time

The wholesale fee is not the full cost of delivery. If your strategist spends hours preparing briefs, checking drafts and responding to client questions, include that work when costing the package. Revisit the estimate when the first accounts go live.

Reporting only screenshots

Screenshots can illustrate an observation, but they do not make a trend. Pair examples with the prompt set, testing conditions and a clear summary of what changed. Keep enough documentation that someone else on the team can understand how the report was produced.

Overstating technical fixes

Structured data, crawl access and page formatting can be worth reviewing, but none should be sold as a guaranteed path to a citation. Explain the purpose of each recommendation and what success would look like, while keeping the final decision with the client and the relevant platform.

A white label AEO launch checklist

Before selling your first package, check that you can answer yes to the following:

• Have we chosen a software, managed or hybrid delivery model?
• Can we describe the target client and the business problem we solve?
• Is each package defined by outputs, limits and client responsibilities?
• Do we have a method for selecting and maintaining prompts?
• Have we stated which answer engines or search surfaces are included?
• Can we explain how observations are sampled and reported?
• Have we tested a partner’s work and confirmed quality-control steps?
• Have we costed account management, revisions and reporting as well as fulfilment?
• Do our contracts exclude guarantees outside our control?
• Do we have a clear process for extra requests and out-of-scope work?
• Can the client approve factual claims and publish changes on time?
• Does every report distinguish activity, observations and business outcomes?

If some answers are no, resolve those gaps before you sell the service at scale. A smaller, well-defined offer is easier to improve than a broad promise that your team cannot deliver consistently.

Next steps for your agency

Start by choosing one client segment and one use case. Define a baseline project, test the work with a suitable account and track the real time required from both your team and any fulfilment partner. Use that experience to refine the scope and pricing before adding more tiers.

If you want to explore how an AI search platform could support your agency’s workflow, review SearchFIT’s pricing and resources. Build your offer around a clear method, honest reporting and work your agency can stand behind.