A force multiplier for your senior strategists.
Not a competitor for their hours. NeverRanked runs the forensic measurement of AI citation behavior across categories. Your team executes on the punch list. Your client keeps the relationship with you, and you resell the engagement with your markup on top.
See the AI check your clients would get →
Free, and white-labelable to your agency when you engage. Eleven measurements published, every number dated and on the public record.
The honest channel position
You sell the strategic relationship to your client. Your team writes the content, deploys the schema, edits the pages, updates the directory profiles. None of that is changing.
What we add is the measurement and diagnostic layer that no agency can credibly build in-house at engagement-realistic margins. Cross-engine citation tracking, source-type analysis, competitive cohort, recurring host pattern detection across categories. Output: a research memo plus a prepped punch list, written for your senior strategists to translate into client-facing recommendations.
The deliverable is built for your team's eyes. Technical specifics, priority order, effort estimates. Not a polished client-facing PDF. You repackage it in your voice, in your formatting, with your insights layered on top. Your client sees you as the expert. We are upstream.
What this is not
- Not a white-label dashboard. We do not produce a customer-facing UI for your client to log into under your brand. The deliverable is a research memo, not a product surface.
- Not a competitor for your execution hours. We never write the content, deploy the schema, or touch the client's site. That work, and the retainer it sits in, stays yours. We sit upstream of it.
- Not a direct-to-client sales effort behind your back. If your client contacts us, we route them to you. We do not have the team or the desire to take execution work that belongs to you.
- Not a referral-fee arrangement. The economics work because of what you avoid building, not because of a fee structure.
Why the math works for an agency
You resell the engagement to your client and add your markup on top. The measurement is a $950 baseline month plus $750 per month per category to audit, or $199 per month to monitor. You own the client relationship and price the engagement to your client as you see fit. Run it across five client categories and that recurring margin compounds, on top of the senior-strategist hours you stop spending.
The first step is Monitor at $199 a month on one client category. Which of the six AI tools name that client and which do not, question by question, in a plain-English monthly report, so you see the shape of the data before committing a client to the audit. Monitor payments in the first 90 days credit in full toward the audit baseline. It carries your markup the same way everything else does.
Your cost per category is the list rate. You set the price to your client. The spread is yours, and we never see it.
The spread is the floor, not the pitch. On top of it you keep the execution retainer and reclaim the senior hours you would have spent building this view by hand. The baseline month carries the same markup room, one time per category.
The senior-time savings are the actual mechanism. A senior strategist who would spend 4-8 hours a month interpreting AI search data, building a cross-engine view, and producing a recommendations document for one client now consumes a 10-page memo on Monday and spends the saved hours on the actual execution work that bills at agency rates. Across five clients, that is roughly 20-40 senior hours a month recovered.
| What the agency does today | What changes with NeverRanked |
|---|---|
| Senior strategist interprets AI search data, fragmented across whichever tools the client has access to | Senior reads a research memo on Monday, makes the strategic call, hands the punch list to the implementer |
| Implementer waits for the strategist's prioritized direction | Implementer starts work on the punch list the same day, prioritized by impact |
| Cross-engine view requires logging into multiple separate dashboards, plus manual engine checks | Cross-engine view is in the memo every month, no engine-by-engine checks |
| Competitive analysis is a quarterly project | Competitive cohort is the default frame of every memo |
| Reporting to client is a quarterly deck the strategist writes | Reporting is the agency's repackaging of the monthly memo in the agency's voice |
The handoff shape
- Scoping call (30 minutes, your team plus ours). Pick the client category to run. Lock the competitor cohort. Confirm the query set.
- The baseline month. We measure in repeated runs across the six AI tools: four citation-grade engines and two model-knowledge engines. You go about your normal client work.
- Research memo and punch list delivered to your team. PDF or markdown, whichever you prefer. Includes the executive summary you can drop into a client-facing recap with light editing.
- Your team executes. Content gets written. Pages get edited. Profiles get claimed. We are not in the room for this part.
- Monthly delta memo after the kickoff. What moved, what did not, updates to the punch list. Same format, your team consumes it the same way.
See the measurement layer before you scope
The public teardowns are the anonymized version of exactly what your team would receive, without the client-specific naming. Eleven measurements done the same way, including one where we committed the prediction to a public timestamp before running a single query, and it held. That is the rigor your senior strategists would be repackaging in their own voice.
- The pre-registered HVAC teardown. We predicted Claude would name a local AC company in under 5% of its answers, on the record, before the data existed. It came in at 2%.
- The cross-category teardown. Eleven measurements read against each other: the two-axis pattern and the cross-geo split.
- All teardowns. Per-category, anonymized, generated from the same tooling that produces the engagement memo.
What we will sign in writing
- We do not contact your clients directly. All communication flows through your team.
- We do not solicit your clients for execution work. If they ask us for it, we route them back to you.
- Your aggregate data is not shared with other agencies or other clients. Cross-category patterns we observe stay anonymized and never reverse-engineerable.
- Standard NDA. Mutual. Reasonable.
What we will not sign
- Exclusivity in a market. The new product is too early for geographic or vertical exclusivity to make sense. Ask again in a year.
- Performance guarantees. We measure. We do not predict citation lift. See /methodology/ for what we do and do not claim.
- Uncapped indemnification. Standard cap at the engagement value, not negotiable for a small company.
What you would tell your client
We engaged a measurement partner to track how AI answer engines (ChatGPT, Perplexity, Google AI Overviews, the others) cite your category against your competitors. They produce the research. We read it monthly and translate it into the work you see us doing. The cross-engine, cross-competitor view is something no platform-internal dashboard can produce, and building it in-house would cost an agency the wrong economics. This is the right shape for what you are paying us for.
That paragraph is honest, specific, and lands with the kind of operator who appreciates the discipline. Use it or write your own. We have no preference about your voice.
Two ways to start
See it first. Run the free AI check on one of your clients. No commitment, white-labelable to your agency when you engage, and the fastest way to show a client what the engines say about them today.
Ready to scope a partnership? Book fifteen minutes and bring the client category you want to run first with a few competitors for the cohort. Most channel relationships start with Monitor at $199 a month on that category, and Monitor payments in the first 90 days credit in full toward the audit baseline. Channel pricing is built for reselling and scoped on the call, so it fits how you package and mark up to your client. The first research memo lands three weeks after the query set is locked.
Grab 15 minutes with Lance → or email Lance
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