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Optimize for the future of search and site performance.
Lumar is a high-scale technical SEO and website optimization platform that now combines GEO/AEO analytics with crawl, monitoring, QA, custom analytics, and API workflows.
Lumar is a cloud website optimization platform for large-scale technical SEO, GEO/AEO (AI-search visibility), site speed, accessibility, custom website analytics, monitoring, and pre-release QA. Its Analyze, Monitor, Protect, and Impact capabilities combine high-speed crawling, health scores, issue prioritization, alerts, tasks, integrations, and API access.
Good fit for Enterprise SEO, web, engineering, accessibility, content, and digital teams managing large or complex sites and needing technical audits, AI-search/GEO readiness, monitoring, custom metrics, and CI/CD quality controls
Custom/contact sales pricing; Lumar's official pricing page does not publish numeric tiers.
Custom platform package
Contact sales
Not publicly specified
Flexible packaging for website optimization, SEO, GEO/AEO and related platform capabilities; exact modules and allowances are configured with Lumar.
Tailored to the team's use cases and requirements; no public numeric limits or price found on the official pricing page.
Last verified September 2026 against lumar.io/pricing. Vendors change packaging often; confirm before buying.
Scorecard
3.3/5 overall, weighted for Technical SEO tools. How grades work.
Extensive first-party product, pricing, crawler, GEO, integration, API, and workflow material is available.
Reviewed official platform, technical SEO, GEO, crawler, integrations, API, pricing, and workflow pages: https://www.lumar.io/platform/
Technical SEO content explicitly goes beyond keyword optimization, but a dedicated keyword-research database/workflow was not found.
The technical SEO page frames Lumar as going beyond keyword optimization; no dedicated keyword research capability was found on reviewed official pages: https://www.lumar.io/platform/technical-seo-metrics/
Strong first-party crawl and external-data grounding via integrations, custom analytics, and API; not all bespoke sources are clearly enumerated.
Lumar supports external data, custom analytics, integrations, and GraphQL API access: https://www.lumar.io/platform/custom-analytics/
Competitor context
Impact references benchmarking against competitors and custom analytics includes competitor pricing comparisons, but broad competitor intelligence is not central.
Content and GEO analysis can guide revisions, but Lumar is not a content authoring suite.
Official GEO tooling evaluates discovery, inclusion, clarity, and structured data rather than drafting articles: https://www.lumar.io/platform/geo-metrics/
Dedicated GEO/AEO analytics measure discovery, understanding, inclusion, AI bot interaction, semantic relevance, and referrals.
Official GEO toolkit page documents these capabilities: https://www.lumar.io/platform/geo-metrics/
Deep scalable crawling, 250+ reports, rendering, indexability, canonical/hreflang/status/link analysis, custom metrics, and QA are well documented.
Official technical SEO and crawler pages document this coverage: https://www.lumar.io/platform/technical-seo-metrics/
Pre-release QA gates and ticket integrations connect audits to production, without direct CMS publishing.
Lumar Protect can warn or block releases and route findings into remediation workflows: https://www.lumar.io/platform/protect/
Health scores, dashboards, alerts, trend views, custom metrics, AI visibility scores, and referral/source tracking provide broad measurement.
Platform measurement and GEO reporting are documented at https://www.lumar.io/platform/geo-metrics/
AI-generated metrics and ticket content support assisted workflows, but autonomous multi-step agents or agent orchestration were not documented.
Official pages document AI-powered custom metrics and AI-generated ticket content, not autonomous agents: https://www.lumar.io/webinars-events/platform-update-jul-2025-on-demand-webinar/
Agentic workflow coverage
There is flexible packaging and a free educational library, but product price and self-serve accessibility are not publicly documented.
Pricing is contact-sales and the academy is free educational content, not a documented free product tier: https://www.lumar.io/pricing/ and https://www.lumar.io/academy/
No auditable customer count was found; named customer logos and testimonials do not establish a count.
Reviewed official home, platform, and pricing pages show logos/testimonials but no customer total: https://www.lumar.io/
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Internal company data
Custom analytics can incorporate business-specific metrics and external data, and platform data can be combined with a broader stack.
SEO data grounding
Crawl, rendering, indexability, technical SEO, GEO, and custom site metrics directly ground analysis in site data.
Third-party app grounding
Native integrations and documented customer examples cover BI, logs, CI/CD, analytics/search data, and other third-party sources.
Custom API grounding
The GraphQL API provides programmatic access to crawler and website-intelligence data for custom applications.
Provides AI-readiness-oriented crawl, availability, robots, rendering, content, structured-data, and GEO health analysis.
GEO discovery and health-score reporting is documented here: https://www.lumar.io/platform/geo-metrics/
Tasks, reports, dashboards, sharing, reporter roles, alerts, and Lumar expert collaboration support cross-functional work.
The platform describes collaboration and task workflows: https://www.lumar.io/platform/ and https://www.lumar.io/webinars-events/platform-update-jul-2025-on-demand-webinar/
AI-assisted metrics/ticket generation and automated QA are covered, but no general agentic workflow system is documented.
Autonomous execution
CI/CD gates, alerts, and API-triggered crawls automate bounded actions; autonomous SEO strategy/execution was not found.
Human control and review
Thresholds can warn or block and teams configure projects, tasks, alerts, and reports, preserving substantial human control.
Integration surface
GraphQL API plus BigQuery, Data Studio, GitHub, CI tools, log platforms, and Tableau provide a broad integration surface.
Memory and persistent context
Project history, retained dashboards/metrics, and crawl data provide product context; persistent agent memory was not documented.
Evaluation and feedback loop
Health scores, trends, alerts, recurring crawls, and QA thresholds enable feedback, but an explicit agent evaluation loop was not found.
Automation exists for recurring monitoring, alerts, custom metrics, crawl triggers, and CI/CD QA, while human configuration and review remain central.
API-triggered crawls and automated Protect workflows are documented: https://www.lumar.io/api/ and https://www.lumar.io/platform/protect/
Free academy resources and an ebook are documented, but no free Lumar product tier or free SEO tool was found.
Official academy describes a free library; the pricing page has no free plan: https://www.lumar.io/academy/ and https://www.lumar.io/pricing/