Audits get scoped to fill space, not to ship.
If the deliverable is “a deck” the team writes to fill the deck. You end up with 40 slides of tag ratios and one slide of recommendations buried at the back.
Most audits are 90-page Screaming Frog dumps. The CMO scrolls the executive summary, the eng lead never opens the PDF, and the fixes never ship. We replace the doc with a prioritized 30-day fix list — by week, by owner, by expected impact.
Most agencies know what to look for. The reason their audits don’t move pipeline isn’t the diagnosis — it’s the doc. Three failure modes show up almost every time.
If the deliverable is “a deck” the team writes to fill the deck. You end up with 40 slides of tag ratios and one slide of recommendations buried at the back.
Everything is flagged at the same severity, with no ranking by traffic impact, no estimated lift, no engineering-cost estimate. The dev team has no way to triage, so it triages by doing nothing.
“Update title tags across 240 pages” gets handed to a content team with no CMS access, or to engineering with no SEO judgment. Two months later it’s still on the backlog and the audit goes stale.
Same checklist every time, so nothing falls through. Different depth and emphasis per engagement, depending on where your debt actually lives.
Crawl budget, render path (JS-heavy frameworks especially), canonical and hreflang sanity, sitemap and robots, status-code anomalies, soft-404s.
Internal link graph, topic clusters, orphaned high-intent pages, dilution from near-duplicate URLs, faceted-nav explosions.
Product, FAQ, Article, Organization, Author, Breadcrumb. Entity consistency across the site. The signals AI parsers actually read.
Pages that target the wrong intent, gaps against competitors, cannibalization, thin content masquerading as hub pages.
Title and H1 alignment with searcher intent, meta descriptions that earn the click, structured snippets that win SERP real estate.
Link velocity, toxic-profile cleanup, top-of-funnel reference content, the relationships worth investing in vs. the ones to ignore.
llms.txt, schema for AI, citation-graph mapping, source-page formatting that LLM parsers prefer. The GEO layer most audits skip entirely.
LCP and INP on real devices, render-blocking diagnostics, edge-cache opportunities. Tied back to revenue impact, not vanity scores.
60-minute call: business model, top-revenue pages, internal sources of truth (search console, GA, CRM, dashboards). Access provisioning.
Full technical crawl, render audit, log-file sample, schema audit, GSC + GA pull, citation-graph pull across the 5 AI platforms.
Findings synthesized against your business model — not against a generic checklist. Every finding scored on traffic impact and engineering cost.
30-day fix list assembled. Each item: owner (eng/content/Geology), week, expected lift, dependencies. Ranked and sequenced.
90-minute walkthrough with both the marketing and engineering leads. Tickets pre-written for your tracker. We stay on Slack for 30 days for blockers.
We give the Live Audit away because it’s a useful look at AI citation share. The paid audit covers the entire site, every channel, and ships you the plan to fix it.
Book a 30-minute scoping call. We'll size the audit to where your debt actually lives, walk through the 30-day fix-list format, and tell you up-front whether a focused engagement makes more sense than a full one.