Full-site diagnosis: technical, content, authority, AI visibility. The flagship — everything else feeds into it.
A full SEO audit that diagnoses technical health, content quality, authority and AI-search visibility, and turns the findings into a prioritized roadmap with owners and expected impact.
A useful audit answers one question: what exactly is holding this site back, and in what order should it be fixed? To answer it honestly you have to look at four layers at once. The technical layer, can search engines and AI crawlers reach, render and index the site. The content layer, does what's published match what buyers actually search, and is it structured so answer engines can lift it. The authority layer, do links and mentions support the rankings the content deserves. And the AI visibility layer, when someone asks ChatGPT or Google AI Overviews about your category, does the brand appear, and if not, who does.
Most audits on the market cover the first layer and call it a day. That's how sites end up with a clean crawl report and flat traffic: the crawl was never the bottleneck. The point of auditing all four layers together is that the bottleneck is usually in the layer nobody was looking at.
First week: access to Search Console and analytics, a full crawl, and a baseline of current AI-answer visibility for the query set that matters to your business. I look at what Google already tells us, impressions with no clicks, pages that rank 8–15, queries where you're invisible, because the fastest wins usually hide there.
Second week: the deep pass. Template-level technical issues, content mapped against real intent, backlink profile against the competitors who actually outrank you (not the ones you think of as competitors). Every finding gets evidence attached: a screenshot, a crawl export, a GSC query, so nothing rests on my opinion.
Third week: the roadmap. Findings ranked by impact against effort, each with an owner, developer, content, or SEO, and a walkthrough call. The deliverable is designed for execution, which is why the natural next step is either your team running it or consulting where we run it together.
If you already know the symptom is technical, the site is slow, pages drop out of the index, a migration went wrong, the narrower technical SEO audit is cheaper and faster. If the symptom is business-level, traffic is flat, leads dried up, a competitor overtook you and nobody knows why, you need the full audit, because assuming the cause is technical is exactly the kind of guess that wastes a quarter.
| Situation | Right scope |
|---|---|
| Migration broke something, index is shrinking | Technical audit |
| Traffic flat for 6+ months, cause unknown | Full SEO audit |
| Competitor cited by AI instead of you | Full audit (AI visibility layer) |
| New site before launch | Technical audit + content review |
After dozens of these, the same patterns repeat. Sites that rank 8–15 for money queries with pages that answer the question in paragraph six, a structure fix, not a content rewrite. Templated pages competing with each other because nobody decided which URL owns which intent. Robots rules written years ago that now block the AI crawlers the business wants attention from. Authority concentrated on the homepage while the money pages sit unlinked. And almost universally: zero visibility into what AI assistants say about the brand, because nobody has ever asked them.
None of these show up in an automated tool score. All of them show up in lost revenue.
A prioritized roadmap, typically 25–60 findings depending on site size, where every line has evidence, a fix, an owner and an impact estimate. The top of the list is always the same kind of item: highest impact, lowest effort, fastest to ship. You could stop reading after the first ten items and still get most of the value, which is the point: an audit that only works if you implement all of it is a bad audit.
Real example of the shape this takes: for a certification-services site that had zero organic leads, the audit-first approach found the intent mismatch and technical blockers, and the roadmap took the site from zero to 4–5 organic leads per day with 80% of keywords in Top-10. For an AI mental-health startup, the same process delivered 9× growth in daily clicks over six months.
The audit itself has a binary measure: can your team execute from it without asking me what each line means. The work it unlocks is measured the normal way, impressions and clicks in Search Console, rankings for the mapped query set, and AI-answer presence tracked month over month for the prompt set we define during the audit. I set the baseline during the audit precisely so that three months later 'did it work' is a data question, not a feelings question.
If you want the recurring version, where the roadmap is re-checked and re-prioritized quarterly as the site and the SERPs move, that's the consulting engagement; the audit is its first deliverable.
Also see: AI SEO · Generative Engine Optimization · SEO Consulting · Technical SEO Audit
Wondering about cost? How SEO pricing works here — audit first, quote after.