Case studies
Real before/after receipts
Two case studies. Real data. Linked commits, Lighthouse runs, score-watcher snapshots — nothing fabricated.
Every ApexGEO case study follows the same closed loop: snapshot the baseline, apply the recommended fixes, re-measure, and publish the delta with its receipts. We only publish numbers we can reproduce — which is why there are two studies here and not twenty.
- Baseline — the measured starting point, captured before any change.
- Fixes applied — the specific recommendations shipped, linked to their commits.
- Re-measurement — the same metric re-run after the fixes land.
- Receipts — Lighthouse runs, score snapshots, and dates anyone can verify.
ApexGEO's own self-audit
GEO 52 · visibility 86 · recommendation 20 — the live self-proof loop.
BrightTech 62 → 93 PageSpeed lift
From PSI 62 to 93 in one closed-loop cycle. Real Lighthouse runs, real fix commits.
Want receipts like these for your own brand? Every ApexGEO audit runs the same loop on your live site: a scored baseline across the AI answer engines, a ranked list of fixes with their expected score impact, and a re-measurement once they ship — so the before/after is yours to verify, not ours to claim. Start with a free audit and watch the delta as the recommendations land.