How Much Does a Technical SEO Audit Cost in 2026?
Short answer: a technical SEO audit runs from about $100 to $14,000 depending on who does it. A Jev-powered pipeline audit of 1,204 pages cost us under $1 in model time. Here is every published price range we could verify, plus our own measured case.
The published price ranges (2026)
| Audit route | What you get | Cost | Speed |
|---|---|---|---|
| Agency audit | Human-written report, prioritized fixes | $650 to $14,000+ one-off | 2 to 6 weeks |
| Freelance consultant | Human judgment on specific problems | $75 to $150/hour; $500 to $3,000 typical project | 1 to 2 weeks |
| SEO tool subscription | Crawler plus a templated issues list | $99 to $449/month recurring | Hours |
| Jev-powered pipeline audit | Page-level judgments, ranked fix lists, deployed fixes | Under $1 model cost plus crawl time | About 3 minutes for 4,816 judgments |
Sources for each range, quoted exactly as published:
- SEOProfy's 2026 pricing guide, citing Clutch marketplace data: technical audits run $100 to $5,000, with SEOProfy's own rates at $750 to $2,500 (seoprofy.com/blog/seo-audit-pricing).
- TrackSEO's 2026 tier comparison: agency audits $650 to $14,000 and up, freelance consultants $500 to $3,000 typical, DIY tool subscriptions $99 to $449/month (trackseo.pro/blog/seo-audit-cost).
- WebFX's published SEO pricing: most businesses pay about $2,500/month, $51/hour, or $1,000 per project for SEO services (webfx.com/seo/pricing).
We did not pick the favorable end of any range. Check each page yourself; the links above are the sources.
Our measured case: the under-$1 audit
Boring Tools Kit operates a 980-plus-tool calculator site. We audited it with our own pipeline:
- 1,204 pages crawled and judged in one run
- 4,816 individual judgments in under 3 minutes
- Weekly striking-distance triage of Search Console near-page-1 queries: $0.0048 per run (12 queries, measured September 19, 2026)
- Full-run model cost under $1, at the Jev model's $0.042 per million input tokens with free output tokens
- Fixes committed and deployed the same week, with layout defects caught by visual QA and repaired
Why the price gap exists
Agencies price judgment, not crawling. The crawl was never the expensive part of an audit; deciding what matters was. A Jev System One model produces calibrated judgments (a probability for every check) at commodity prices, which moves the human cost from writing the report to deciding which fixes to ship. Probability-ranked fix lists solve that decision problem.
Method and honest limitations
- Crawler: LibreCrawl, self-hosted, full-site crawl
- Judgments: TypeSafe Jev (jev-1.13.0), bicameral fan-out, calibrated thresholds
- Verification: every deployed fix re-checked in a real browser at desktop and mobile widths
Two things this comparison does not claim: Jev judgments are heuristic checks, not human strategy, and a probability-ranked list still benefits from a human deciding what ships first. Agency audits also include accountability and stakeholder management, which this comparison deliberately excludes; it covers the technical audit itself.
Disclosure: Boring Tools Kit built and operates the Jev pipeline described here. Every number in our case study comes from our own measured runs and is reproducible.