NoCodeLabsDeliver governed SEO audits under your brand.
Your clients expect audits. Building a diagnostic system is expensive. White label our governed engine and deliver executive-grade reports under your agency name.
The agency diagnostic problem
Clients expect SEO audits. They want a clear diagnosis of what is limiting their search performance, a prioritized list of what to fix, and evidence supporting every recommendation. This is reasonable. It is also expensive to deliver at the quality level that retains clients.
Building a diagnostic system from scratch means investing in crawl infrastructure, analysis pipelines, cross-model validation, and report generation — before you have delivered a single audit. Buying off-the-shelf tools means handing clients the same template reports they could generate themselves with a Semrush subscription.
The gap between “template report from a SaaS tool” and “genuine constraint-based diagnostic” is where agencies either differentiate or lose clients to the next agency that figured it out.
What white label means
You sell the audit. We run the diagnostic engine. The report ships under your brand.
Your clients never see our name. The audit report carries your agency branding, your logo, your contact information. The executive summary, constraint map, prioritized findings, and evidence documentation are all formatted to your specifications.
Behind the report is the same governed diagnostic system we use for our direct clients — cross-model validated, constraint-based, and evidence-backed. The only difference is whose name is on the cover.
What your clients receive
The same diagnostic output our direct clients receive, branded for your agency. This is not a watered-down version or a summary. It is the complete governed audit — the full constraint-based analysis with every finding supported by evidence.
The report includes an executive summary written for decision-makers, not technicians. A constraint map identifying the primary bottleneck limiting search performance. Prioritized findings ranked by impact, not by how easy they are to fix. Technical evidence for every recommendation — crawl data, content analysis, performance metrics, and cross-model validation results.
Your clients get a diagnostic that stands up to scrutiny. When they ask “why should we fix this first?” the answer is in the report, backed by data, not opinion. Learn more about what a quality SEO audit includes.
How governance protects your reputation
When your name is on the audit, the quality of the findings is your reputation. Generic checklists and hallucinated metrics do not just waste your client’s time — they erode trust in your agency.
The governed diagnostic system is designed to protect against exactly these failure modes. Every finding is evidence-backed. Every metric is validated. Every recommendation is specific to the domain being audited, not copied from a template.
Every finding in the audit is tied to specific evidence — crawl data, performance metrics, content analysis. Nothing is asserted without supporting data.
Cross-model validation means no single AI model's output is presented as fact. When models disagree, the finding is flagged and evidence is weighted accordingly.
The diagnostic is constraint-based, not checklist-based. It identifies the specific bottleneck limiting your client's search performance, not a list of 200 best practices.
Run the diagnostic twice on the same domain and you get the same findings. Deterministic rules applied to crawl data produce consistent, auditable results.
How it works
You provide the client domain and any specific focus areas. We handle intake, scoping, and diagnostic configuration.
The full governed diagnostic pipeline executes: crawl analysis, cross-model validation, constraint identification, and evidence gathering. The same system we use for direct clients.
You receive the complete diagnostic report branded for your agency — executive summary, constraint map, prioritized findings, and evidence documentation. Delivered within 72 hours.
The report is yours. Present it as your diagnostic, use it to scope follow-up work, or bundle it into your existing service packages.
Pricing structure
White label pricing is volume-based with margins built for agency resale. The more audits you run, the lower your per-audit cost. You set your own client-facing price.
There are no setup fees, no platform subscriptions, and no minimum commitments. You pay per audit, and the pricing decreases at volume tiers. Most agencies price their white-labeled audit at 2–3x their cost, building the diagnostic into their existing service packages or offering it as a standalone deliverable.
This is not a template report. It is the same governed diagnostic system we use for direct clients — the same cross-model validation, the same constraint-based methodology, the same evidence standards. The only difference is the branding and the pricing structure.
This isn’t a template report
Template reports are the reason clients distrust SEO audits. They have seen the same generic recommendations from three different agencies, generated by the same SaaS tools, with the same “fix your meta descriptions” advice regardless of whether meta descriptions are actually the constraint.
Our governed diagnostic starts with a full crawl and builds findings from the data. The constraint map is unique to every domain because every domain has different constraints. The prioritization is based on measured impact, not a predetermined checklist. The evidence section shows exactly what data supports each finding.
When you white label this system, you are offering your clients something most agencies cannot build in-house: a diagnostic that finds the real constraint, proves it with evidence, and tells them exactly what to fix first. That is how you differentiate — not with a prettier PDF, but with a more rigorous diagnosis.
Add governed diagnostics to your agency
Reach out to discuss white label partnership pricing and see a sample branded report. No commitment required.
Learn more: What an audit should include · How governed audits work · Case studies