Lumar (formerly DeepCrawl) is a cloud-based technical SEO platform that provides continuous site monitoring and deep crawl analysis for mid-market to enterprise teams. Unlike desktop tools, Lumar runs scheduled crawls in the cloud and surfaces technical issues via team dashboards—making it easier to maintain site health across large organisations.
Product Overview
Lumar sits in the technical SEO monitoring layer. For marketing ops and SEO teams managing large or fast-changing sites, the continuous crawl and alert model means technical regressions are caught quickly rather than at the next manual audit. Its integration with CI/CD pipelines makes it popular with engineering-adjacent SEO teams.
RevOps Jobs-to-Be-Done
- Continuous technical SEO monitoring — Schedule weekly crawls to automatically detect and alert on new technical issues before they impact rankings. KPI: Reduce mean time to detect technical SEO regressions to under 7 days
- Site migration quality assurance — Run pre- and post-migration crawls to validate redirect mappings, canonical tags, and page coverage. KPI: Prevent ranking drops from migration errors
Key Features
- Scheduled Cloud Crawls: Automated weekly or daily crawls with no desktop setup required, suitable for sites with millions of pages.
- Technical SEO Auditing: 200+ technical SEO checks with prioritised issue reporting and trend tracking over time.
- Log File Analysis: Upload and analyse server logs to understand Googlebot crawl patterns and budget usage.
- Accessibility & Performance Testing: Core Web Vitals, Lighthouse scores, and WCAG accessibility checks alongside SEO auditing.
- CI/CD Integration: Integrate crawls into deployment pipelines to catch SEO regressions before they reach production.
How It Fits Your Stack
Primary system of record: Cloud-based; integrates with GSC, GA, and development workflows
Key integrations: Google Search Console, Google Analytics, GitHub Actions, Slack, Jira
Data flows: Lumar runs cloud crawls and enriches with GSC/GA data. Findings export to Jira for engineering tickets or Slack for alerts.
Security & Compliance
- SSO / SAML: Yes
- RBAC / permissions: Yes
- Audit logs: Yes
- Certifications: SOC 2 Type II, GDPR, ISO 27001
- Data residency: EU and US
Implementation & Ownership
- Time to first value: Days
- Implementation complexity: Medium
- Typical owners: Technical SEO, Web Dev, SEO Manager
Cloud-based setup is faster than Botify. CI/CD integration requires developer involvement.
Pricing & Contracts
- Pricing model: Contact sales / tiered by page volume
- Indicative range: $400–$2,000+/month depending on page volume
- Minimum commitment: Annual
- Free tier: No
- Common add-ons: Log file analysis module, Accessibility testing
Who It's Best For
Mid-market to enterprise SEO teams managing sites with 50K+ pages who need continuous monitoring without desktop tooling.
Good fit if:
- Teams managing large or frequently updated sites
- Organisations needing CI/CD SEO integration
- Agencies with multiple large client sites
Probably not ideal if:
- Small sites where Screaming Frog's free tier suffices
- Teams that only need point-in-time audits rather than continuous monitoring
Proof & Buyer Signals
Ratings: 4.4/5 on G2 (120+ reviews)
What buyers praise:
- Best cloud-based technical SEO platform
- CI/CD integration is unique
- Reliable scheduled crawls
Common complaints:
- Expensive for smaller teams
- UI could be more intuitive
Pros
- Cloud-based continuous monitoring—no desktop app to manage
- CI/CD integration prevents SEO regressions at deploy time
- Strong security posture for enterprise
Cons
- Higher price point than Screaming Frog for equivalent audit depth
- Log analysis less powerful than Botify for very large sites
Often Compared With
- Screaming Frog — Screaming Frog is cheaper and more powerful for manual audits; Lumar wins for continuous cloud monitoring and team dashboards.
- Botify — Botify is deeper on log analysis and enterprise scale; Lumar is more accessible for mid-market teams.
- Sitebulb — Sitebulb is desktop-based with better visualisations; Lumar is cloud-based with continuous monitoring.
