Everything that earns a citation.
One system, five pillars, built to get IT and tech companies named, cited, and recommended across Google and every AI answer engine. It starts with a diagnostic, not a contract.
The AI Shortlist Audit
The diagnostic that answers one question: when your buyer asks AI who to hire, are you named? Six sections, multi-run across engines, with a prioritized 90-day plan. Credited back against your first month if you start a retainer.
The exact questions your buyers ask AI before they contact anyone.
Where you appear, where you are absent, and where competitors win.
How often AI actively recommends you, not just mentions you.
The specific pages and third-party sources AI uses to justify its answers.
Where AI gets your services, location, or positioning wrong.
The pages to build, sources to earn, and fixes to make, in priority order.
What we actually do every month.
Search foundation
Technical SEO, crawlability, indexation, speed, internal linking, and structured content. The groundwork that lets both Google and AI engines read and trust your site. No AI visibility survives a broken foundation.
Entity clarity
Schema, knowledge-graph alignment, and consistent NAP/identity so machines know exactly who you are, what you do, and who you serve. This is what turns you from a string of text into a recognized entity AI can recommend.
Evidence architecture
Case studies, comparison pages, methodology pages, and answer-first content engineered to be quoted. The material AI pulls from when it justifies a recommendation.
Citation authority
Placement in the directories, reviews, and publications AI actually cites: Clutch, G2, industry press, partner pages. Not link counting. The third-party proof that turns "mentioned" into "recommended."
AI visibility tracking
Prompt-level monitoring across ChatGPT, Perplexity, Gemini, and Google AI, run repeatedly because outputs vary. We report mention rate, recommendation rate, cited sources, and accuracy over time, never a single screenshot.
Pick the level. Scale when it works.
Is AI recommending you, or your competitor?
Start with the audit. Everything else follows the plan.