Why one more audit tool exists
Audit tooling is fragmented: Lighthouse for performance, axe / WAVE for accessibility, Screaming Frog for crawl, SEMrush for SEO, OWASP ZAP for security, and now a growing list of GEO / answer-engine tools for AI visibility. Stitching their outputs into a single board for a non-technical stakeholder takes hours and the result still misses cross-cutting issues like revenue leakage in checkout flows.
We needed a platform that ran every check in one pass, used an LLM to translate raw findings into prioritised business-impact recommendations, and produced a deliverable a CMO, CTO, or auditor could read end-to-end. The platform now powers our own pre-engagement audits — we run it against every prospect's site before the first call.
Key pain points
- ✕Lighthouse / axe / ZAP outputs are technical and unread by non-engineering stakeholders
- ✕No tool combines SEO, performance, accessibility, security, mobile, and revenue-leakage analysis in a single report
- ✕GEO / AI answer-engine visibility is missing from every traditional audit suite
- ✕Competitor benchmarking and trend tracking across recurring audits are absent or behind enterprise paywalls
- ✕Branded white-label reports require manual export and reformat work per client
What we built
The platform runs 9 audit modules in parallel — SEO, GEO readiness, Performance, Accessibility (WCAG 2.1 AA), UX / Usability, Security (OWASP top-10 + security headers), Mobile App, Revenue Leakage, and Best Practices — on every URL submitted. Each module produces a 0–100 score, an issue list with severity (critical / high / medium / low), affected page counts, and a per-issue AI recommendation with a quantified business-impact estimate (organic traffic, conversion lift, compliance reach, revenue at risk).
The dashboard surfaces Core Web Vitals (LCP / FID / CLS), crawl + index status (crawled / blocked / redirected / failed) with pie breakdowns, device breakdown across desktop / mobile / tablet, and a top-issues feed. Audit history, trend lines, and side-by-side audit comparison are first-class — we score-deltas every run so improvement is visible. Pro tier adds AI competitor benchmarking, scheduled recurring audits, white-label branded reports, and advanced recommendations.
Reports export as branded HTML, print-ready PDF, and CSV for issue tracking. Integrations cover GSC, GA4, Lighthouse CI, Slack / Teams notifications, and a webhook layer for custom downstream tools. Multi-tenant by team, with role-based audit-settings, scheduled audits per project, and a Page Inspector view for issue-level debugging.
Technology stack
Frontend
Audit engine
AI
Infrastructure
Key engineering decisions
One audit pass, not nine sequential tools
We run all 9 modules from a single crawl pass — the page is fetched once, rendered once with Playwright, and the DOM / headers / network waterfall are reused by every module. This cuts audit time roughly 6× compared to running each open-source tool independently and keeps results consistent across modules.
AI for recommendations, deterministic for findings
Module findings (CWV scores, contrast failures, missing headers, broken links, blocked pages) stay fully deterministic — same input always produces the same finding. The LLM only translates findings into a prioritised, business-impact ranked recommendation list. This keeps the audit auditable and prevents the LLM from inventing problems.
Revenue Leakage as a first-class module
Most audit tools surface technical issues; few quantify them. Revenue Leakage scans cart, checkout, form, and payment flows for friction patterns (forced account creation, missing Apple/Google Pay, slow checkout pages, form friction) and produces a per-issue monthly-revenue-at-risk estimate. This is the section CMOs read first.
The results
Swenivis AI Audit is live at audit.swenivis.com and is the audit tool we use internally before every client engagement. We share the white-label PDF with prospects as a free pre-engagement deliverable — it consistently surfaces critical issues their existing tooling missed, and is the most direct way to demonstrate the depth of analysis we bring to every project.
From our founder
Most audit reports we have seen as buyers are long on raw data and short on prioritisation. We built this platform because we wanted a deliverable our team could send to a CTO or CMO and have them read end-to-end. If your audit deliverable does not get read, it does not get acted on — and that is the gap this product closes.
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