Every engagement runs the same six phases, in order, then runs them again. Nothing here is a black box — each phase produces a named deliverable, and we'll tell you which phase you're in at any point.
The order matters. Skipping ahead is the most common way AI SEO budgets get wasted — content investment behind a blocked crawler produces nothing, and citation building aimed at an unresolved entity mostly evaporates.
We crawl your site as GPTBot, ClaudeBot, and PerplexityBot do, then show you page by page what they actually receive. It's usually less than you'd expect.
We map how AI models currently understand your brand as an entity — who you are, what you sell, who you compete with, and where their picture of you is wrong or missing.
We benchmark the baseline: which prompts your category actually gets asked, who gets cited in those answers today, and what share of them is yours.
The build phase — technical fixes, schema deployment, answer-first content restructuring, and internal linking so every page is retrievable and quotable.
We earn the third-party citations, mentions, and references AI models lean on as evidence — through digital PR, listings, and authoritative placements.
Monthly reporting on citation share, prompt-level visibility, and competitor movement across every platform. Then we re-run the loop on what moved and what didn't.
A one-time audit is a snapshot of a moving system. Models update, competitors respond, your product changes, and a deploy quietly reintroduces a crawler block six months after you fixed it. Work delivered as a project decays; work delivered as a loop compounds.
So after Prove, we return to Reveal. Not the full engagement again, but a re-check: is crawler access still clean, has the entity picture shifted, which prompts moved, what did competitors do. That informs the next cycle's priorities rather than repeating last cycle's plan.
The other reason it's a loop is honesty. Running the same measurement monthly makes it obvious when something isn't working. A project-based engagement lets an agency deliver a report and leave before the results are in. This doesn't.
Because the four failure modes — retrieval, entity, structure, corroboration — are genuinely distinct, and each needs both diagnosis and execution. Collapsing them produces engagements that fix the visible problem and miss the actual one.
The phases also make sequencing explicit, which matters because doing them out of order is the most common way AI SEO budgets get wasted.
Sometimes. If you've run a recent credible audit we'll validate rather than repeat it. If your entity signals are already clean, phase two is short.
What we won't skip is Numerate. Without a benchmarked baseline there's no way to know whether anything we do afterwards worked.
The first pass through all six phases typically takes 90 days. After that the loop runs monthly, with lighter re-checks and a fuller re-audit quarterly.
Enterprise engagements run longer on the first cycle because discovery across multiple properties takes real time.
We report that plainly and diagnose why. Sometimes it's timing — corroboration work genuinely takes months. Sometimes a tactic didn't work and we change approach. Occasionally we conclude the category isn't worth further investment and say so.
Reports that only show progress aren't reports.
The underlying work overlaps with anyone doing this competently — there's no secret technique. What the framework does is make sequencing and deliverables explicit so you can hold us to specific outputs rather than a vague retainer.
We'd be suspicious of any agency claiming a proprietary method nobody else could replicate.
We'll benchmark your brand against the questions your category actually gets asked, and show you who's being cited instead of you.
No commitment · 45 minutes · Immediate value