How We Work
Building and sustaining visibility across search engines and AI assistants is an ongoing engineering discipline, not a one-time project.
We operate DIP as a closed loop: Measure → diagnose → prescribe → implement/queue safe changes → distribute → verify indexing → re-test → learn → repeat. “Distribute” simply means publishing approved changes to the relevant owned pages and channels. Every change is measured, approved, and verified against an empirical baseline.
The five stages below group the nine-step DIP loop into Measure (1), Diagnose (2–3), Act (4–5), Verify (6–7), and Learn (8–9).
MEASURE
We establish an objective baseline of how your business currently appears across search engines and AI assistants.
We audit search crawlability, AI bot accessibility, indexing health, citation presence, and structured entity recognition.
Target commercial service priorities, domain URLs, and relevant stakeholder context.
Comprehensive baseline visibility scorecard and empirical diagnostic scan across search and AI systems.
No — baseline diagnostic scan.
DIAGNOSE
We pinpoint exact information gaps, crawl blockers, unstructured services, and authority deficits.
We rank gaps by commercial impact, technical feasibility, and competitive necessity to create a prioritised 90-day roadmap.
Feedback on business priorities, internal developer capacity, and preferred timing.
Executive diagnostic report, gap analysis, and prioritised 90-day execution roadmap.
Yes — you select which priorities to approve for implementation.
ACT
Deploy approved technical fixes using AI-assisted automation paired with experienced human engineering QA.
We execute Schema.org knowledge graphs, entity relationships, technical SEO fixes, WebMCP endpoints, and direct-answer content structures. Safe changes are implemented or queued, then distributed: published to the relevant owned pages and channels.
Staging environment access or developer coordination under secure access protocols.
Deployed, verified technical implementations with full documentation and no lock-in after the minimum term.
Yes — every implementation milestone is separately scoped and approved.
VERIFY
We re-scan and benchmark against the baseline to confirm changes are live, crawled, and accurately interpreted.
We verify indexing, then re-test: automated re-crawling, entity extraction checks, and live AI query evaluations confirm that search engines and AI assistants reflect updated data.
Confirmation of production deployment and DNS/server stability.
Post-implementation verification report and before-and-after baseline diff.
No — deterministic verification against original scope.
LEARN
Capture ongoing telemetry as search algorithms and AI models evolve, feeding discoveries back into DIP intelligence.
DIP re-measures your search positions and AI citations on a scheduled cycle and feeds what it finds into your next priorities, and the loop repeats.
Periodic review of telemetry insights and emerging market signals.
Dashboard telemetry, a monthly report, and actionable recommendations.
Ongoing DIP subscription via Beacon, Pathfinder, or Authority tier.
Ready to establish your baseline?
Check your AI visibility today or explore our Digital Intelligence Platform tiers for ongoing cross-engine discovery tracking.