SurfaceGX was founded by operators who saw the same pattern across brands: a company changes, the announcement goes out, and AI keeps telling the old story because the sources engines read were never repaired.
Every engagement is delivered by the founders. Jeanine leads intake, fact approval and the client deliverables; John owns the platform that records the evidence behind them.
Jeanine brings 20 years of expertise in communications, media relations and content strategy, having built and led PR and earned-media programs for reputation-sensitive brands.
She envisioned and co-founded SurfaceGX after seeing firsthand how AI was distorting brand narratives in ways no traditional communications measurement tool could detect or explain.
She leads every Sprint: scope, fact approval, editorial review and the final proof report.
John leads the product architecture behind the platform’s observation, diagnosis and repair workflows.
His background spans product development in AI, data infrastructure, enterprise access layers, machine-learning visualization and hands-on product engineering.
At SurfaceGX, he focuses on making complex technical signals actionable for the teams responsible for shipping the fix.
Most tools monitor where a brand appears in generated answers. SurfaceGX works on the layer before that answer exists: the approved facts, owned sources, page structure and technical signals an engine actually reads.
The goal is practical repair with proof. Establish what is true, observe what AI shows, diagnose the conflicts, deliver work your team can ship, and recheck the same scope once so everyone can see what changed.
See how the Sprint worksEvery evidence set, finding, Fix Card and proof report receives human review.
SurfaceGX documents observed results and never promises control over an AI engine’s answer.
The work ends in implementation-ready artifacts, not a dashboard that leaves the handoff unresolved.
Tell us what is changing and when. If the Sprint is not the right fit, we will say so before you spend anything.
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