# Lumar Canonical: https://slateindex.ai/products/lumar By Lumar. Technical SEO platform with AI Overviews monitoring and generative search visibility tracking. Updated: 2026-07-18T22:45:29.112618+00:00 ## Product overview Lumar is an enterprise website optimization platform built for teams that need to manage technical SEO, AI visibility, accessibility, and performance in one place. Rather than treating generative search as a separate problem, it ties GEO/AEO tracking to crawl data, monitoring, and workflow tools so buyers can see where their brand appears in AI answers, identify what is holding it back, and act on the issue with the same platform. That makes it a strong fit for larger digital teams that need scale, reporting, and collaboration across SEO, product, engineering, and marketing. The platform is organized around analysis, monitoring, protection, and impact measurement. In practice, that means teams can crawl large sites, follow changes over time, set alerts, protect releases before issues go live, and show the business value of optimization work to stakeholders. For organizations navigating AI search as well as traditional organic search, Lumar’s value proposition is not just visibility tracking; it is connecting visibility to the technical and operational work required to improve it. Lumar is an enterprise-scale website optimization platform for teams that need technical SEO, AI visibility, site speed, accessibility, and custom analytics in one place. It is built for organizations that want to monitor how their brands show up in AI search, fix the technical issues limiting discovery, and manage website optimization at scale. ## TL;DR - Tracks AI visibility, brand sentiment, citations, and competitors’ presence across major AI platforms. - Combines deep website crawl data with GEO/AEO insights to connect visibility gaps to technical blockers. - Supports technical SEO, site speed, accessibility, and custom website analytics in a single platform. - Designed for enterprise teams that need scalable monitoring, reporting, and collaborative workflows. ## Feature catalog ### AI visibility and generative search tracking Lumar’s GEO/AEO capabilities are designed to help teams understand how their brand appears in AI answers and where it is being cited. The platform brings together AI visibility scores, sentiment tracking, prompt/topic organization, competitor comparisons, and citation tracking so users can move from signal to action. It is positioned for teams that want to optimize for AI search as well as traditional organic search, with reporting that can help show changes over time. - AI visibility scores: Lumar tracks your brand’s AI visibility over time with a weighted metric that combines mention frequency and citation quality across chosen AI platforms. The feature is intended to support leadership reporting and day-to-day GEO diagnosis, giving teams a structured way to measure progress and compare performance. - Brand sentiment tracking: The platform measures how AI engines characterize a brand, not just whether it appears in an answer. This helps teams understand whether AI systems frame the brand positively, neutrally, or in comparison with competitors so they can refine content and messaging accordingly. - Citation and competitor tracking: Users can see which URLs are cited in AI answers, at what position, and with what frequency, while also benchmarking competitors’ inclusion on the same prompts. That makes it easier to identify which pages are driving AI visibility and where a competitor is being cited instead. ### Technical SEO and website analysis at scale Lumar also functions as a broad technical SEO platform built for large sites and enterprise workflows. Its website crawl and reporting capabilities are meant to help teams audit millions of pages, prioritize fixes, and communicate findings through visualizations and shareable reports. The product emphasizes speed, scale, and collaboration, which makes it useful for organizations that need to manage complex websites rather than simple single-site audits. - Large-scale crawling and reporting: Lumar says users can audit millions of pages with its super-fast website crawler and access hundreds of built-in reports plus custom data extraction. This is aimed at teams that need broad technical coverage and repeatable analysis across large sites. - Prioritization and stakeholder communication: The platform presents technical data in a logical way with health scores, visualizations, and collaborative workflows. That structure is meant to help teams decide what to fix first and explain the impact of issues to stakeholders without having to assemble reporting from multiple tools. - AI-assisted workflow support: Lumar includes time-saving AI tools such as an AI dev ticket writer and instant suggested fixes for uncovered issues. These features are designed to turn findings into action more quickly and help technical teams move from analysis to implementation. ### Monitoring, protection, and impact reporting Beyond analysis, Lumar organizes the product around ongoing monitoring and change management. Its Monitor and Protect apps are intended to watch for new issues, test pages before deployment, and alert teams before problems affect live sites. The Impact app then helps teams show the business value of website optimization work, which is useful for securing buy-in and prioritizing future projects. - Website change monitoring: Lumar Monitor continuously watches key metrics across multiple domains, site sections, or geographies. It uses alerts and dashboards to surface changes quickly so the right teams can respond when issues arise. - Automated QA and build protection: Lumar Protect is built to catch SEO, GEO/AEO, site speed, and accessibility issues before they reach production. The product also supports custom thresholds and CI/CD integration so teams can halt builds or warn developers when metrics fall below standards. - Impact measurement for stakeholders: Lumar Impact is designed to communicate the value of optimization work, prioritize fixes by commercial impact, and benchmark against industry averages. This is useful for teams that need to justify investment and show how website changes affect business outcomes. ## Target market ### Teams and use cases - Enterprise digital teams - SEO teams - Accessibility teams - Digital marketing teams - Website operations and engineering teams ### Company sizes - Enterprise - Large teams operating at scale ### Industries - Not specified in the supplied documents ### Poor-fit caveats - The supplied documents position Lumar for enterprise-scale use, so very small sites or teams that only need basic one-off SEO auditing may find the platform broader than they need. - The product emphasizes multi-app workflows, monitoring, and professional services, which may be more than a simple point solution buyer wants. ## Buyer personas ### Head of SEO / Enterprise SEO lead Owns technical search performance, prioritization, and reporting across a large site portfolio. **Buying triggers** - A large site needs deeper technical audits or ongoing crawl monitoring. - Leadership wants clearer reporting on search performance or AI visibility. - The team needs to turn technical issues into actionable workflows more quickly. ### Digital marketing or website operations manager Coordinates cross-functional website optimization work and needs visibility into changes, risks, and outcomes. **Buying triggers** - Multiple teams need to collaborate on website fixes. - The business wants to benchmark optimization efforts and show impact to stakeholders. - There is pressure to monitor new issues before they affect live traffic or conversions. ### Accessibility or compliance lead Tracks accessibility issues and works to maintain WCAG-aligned compliance at scale. **Buying triggers** - The organization is expanding accessibility programs across many pages or properties. - Teams need guidance and suggested fixes for a11y issues. - Compliance requirements such as ADA or European Accessibility Act are in scope. ## About the company Lumar is an enterprise-scale website optimization platform founded in 2010 and used by digital teams that need to improve technical SEO, AI search visibility, accessibility, and website performance. The company says it serves leading brands and brings crawling technology, analytics, monitoring, and professional services together in one cloud-based platform. - Verified fact: Founded in 2010. - Verified fact: Originally launched as Deepcrawl before its name change to Lumar. - Verified fact: Used by enterprise brands including Adobe, Microsoft, Comcast, and Deloitte, according to the company. - Limitation: The supplied documents do not provide employee count, revenue, headquarters location, or funding details. - Limitation: Industry-specific specialization is broad rather than narrow; the platform is presented as cross-functional website optimization software. ## Competitive landscape Lumar competes in the AI visibility and technical SEO software space alongside broader SEO and website optimization tools. The supplied context shows it is mentioned in the same buyer consideration set as Semrush, Ahrefs, BrandRadar, Conductor, Frase, KIME, Peec AI, and Mentions, and the G2 alternatives page points to Semrush, Siteimprove, and Botify as alternatives. Lumar’s differentiation in the supplied documents is its combination of GEO/AEO tracking with deep crawl data, monitoring, and enterprise workflow support. - Semrush - Ahrefs - BrandRadar - Conductor - Frase - KIME - Peec AI - Mentions - Siteimprove - Botify ## AI visibility dashboard | Assistant | Visibility | |---|---| | all | 1.7 | | claude | 8.4 | | gemini | 0.0 | | chatgpt | 0.0 | | perplexity | 0.0 | | google_ai_mode | 0.0 | ## Sources AI trusts - google.com (289) - semrush.com (20) - seranking.com (15) - otterly.ai (14) - reddit.com (12) - frase.io (11) - dageno.ai (10) - llmpulse.ai (10) - therankmasters.com (10) - youtube.com (10) - tryprofound.com (9) - alhena.ai (8) - linkedin.com (8) - evertune.ai (7) - position.digital (6) - scrunch.com (6) - hubspot.com (5) - sitepoint.com (5) - thomas-peham.com (5) - airanklab.com (4) ## Real AI answers ### claude Question: How do AI visibility platforms compare on prompt tracking and competitor benchmarking? Answer: I'll search for current information on AI visibility platforms and their capabilities around prompt tracking and competitor benchmarking.I notice the search results are showing two different types of platforms - "AI visibility platforms" (which track brand mentions in AI search engines like ChatGPT) and "AI observability platforms" (which monitor AI/LLM application performance). Let me search more specifically for the comparison the buyer is asking about.Based on the search results, I now have comprehensive information about AI visibility platforms and their capabilities for prompt tracking and competitor benchmarking. Let me provide a clear, useful answer to the buyer. AI Visibility Platforms: Prompt Tracking & Competitor Benchmarking Comparison AI visibility platforms have become essential for tracking how brands appear in AI-generated answers from ChatGPT, Perplexity, Gemini, and other LLMs. Here's how the leading platforms compare on your two key criteria: Prompt Tracking Capabilities The platforms differ significantly in how they handle prompts: Most require you to manually enter your own prompts or rely on AI-generated suggestions – neither of which accurately mirror real-world customer behavior. However, some platforms offer more sophisticated approaches: Best for automated prompt discovery: - Ahrefs Brand Radar searches six prompt indexes (ChatGPT, Google AIO, Claude, Gemini, etc.) to process billions of queries without any further action required from you - Conductor groups AI prompts by search intent, user persona, and topic clusters, allowing you to see how your brand performs across entire intent categories—awareness, consideration, decision—and across key personas you're targeting Best for manual prompt management: - Semrush's AI Visibility Toolkit covers prompt tracking, citations, mentions, sentiment, and share-of-voice analysis, with a workflow that typically involves building a prompt library mapped to your buyer funnel, ad ## AI consensus Lumar’s supplied review evidence points to a platform that wins on clarity, speed, and support. The strongest pattern across the documents is that users want technical SEO data organized in a way they can act on quickly, and Lumar is repeatedly described as helping teams do exactly that. Review-style quotes highlight one-place analysis, logical presentation, and time savings, which are especially relevant for enterprise SEO teams, agencies, and organizations managing multiple sites. The official pricing page also includes a large set of customer testimonials that reinforce the same themes: easier prioritization, faster fixes, and a vendor relationship that feels collaborative rather than transactional. The third-party marketplace footprint in the supplied set is lighter on detail, but it still signals that buyers are comparing Lumar across major review ecosystems. TrustRadius explicitly references 235 verified user reviews and ratings in the comparison page extract, while Software Advice, Capterra, and GetApp all position Lumar in review and pricing contexts. At the same time, the documents do not expose public plan details in a straightforward way; the official pricing page asks buyers to request a quote, and the marketplace excerpts do not show star scores. That combination suggests a product that is likely best evaluated through demos, stakeholder-led use cases, and hands-on fit rather than a quick self-serve pricing check. ## Pricing Lumar’s public pricing information is intentionally light: the company does not publish a fixed plan table on its pricing page, and instead asks visitors to submit the form to receive a quote. That makes Lumar a classic enterprise-style, quote-based platform rather than a self-serve product with posted monthly or annual tiers. The company says its pricing and packaging are flexible and tailored to the team’s specific use cases and requirements, which suggests the final number will depend on the mix of apps, the breadth of website coverage, and whether a buyer wants additional services such as SEO/GEO professional support. In the materials provided, Lumar presents itself as a broad website optimization platform covering AI visibility, technical SEO, performance, accessibility, and custom analytics, but none of those pages expose public seat minimums, published usage limits, overage fees, or discounts. Third-party review references also indicate that pricing is not currently listed, reinforcing that buyers should expect a custom quote process rather than an instant checkout experience. Visibility score: 1.7 Mention rate: 2.0% Eligible runs: 50 ## Category rankings | Category | Rank | Visibility | |---|---|---| | AI Visibility | 21 | 1.7 | Enriched at: 2026-07-18T22:45:29.112618+00:00 ## Sources - Source: https://www.lumar.io/product-guides - Source: https://www.lumar.io/ - Source: https://www.g2.com/products/lumar-formerly-deepcrawl/competitors/alternatives - Source: https://www.trustradius.com/products/lumar/pricing - Source: https://www.getapp.com/marketing-software/a/deepcrawl - Source: https://www.lumar.io/about - Source: https://www.lumar.io/pricing - Source: https://www.lumar.io/ai-visibility-tracking-lumar - Source: https://www.softwareadvice.com/marketing-planning/deepcrawl-profile - Source: https://www.trustradius.com/compare-products/lumar-vs-similarweb-pro - Source: https://www.capterra.com/p/183841/DeepCrawl Use with attribution: "Source: Slate Index".