Lumar vs Oncrawl in 2026: five-part enterprise platform vs crawl-and-log specialist
Both are demo-gated, enterprise-only, and both now track AI bots and AI-generated answer citations. The difference is how much they bundle around that core: Lumar adds accessibility and site speed, Oncrawl doubles down on server log analysis and a strong REST API.
Lumar
Oncrawl- Lumar bundles AI brand visibility (GEO/AEO), site speed, and WCAG 2.2 accessibility testing into one platform. Oncrawl focuses on crawl and server log data plus a dedicated AI-generated answer visibility layer.
- Oncrawl tracks AI bot crawl activity at the URL level for GPTBot, ClaudeBot, and PerplexityBot specifically. Lumar's AI tracking is oriented around how the brand appears in AI-generated answers, not which bots crawled which URL.
- Server log analysis is a core, always-on part of Oncrawl's platform. Lumar does not list log file analysis as one of its five product areas.
- Lumar includes WCAG 2.2 accessibility compliance testing built into its crawl workflow. Oncrawl has no accessibility testing feature.
- Oncrawl's REST API is described as one of its genuine strengths, exporting crawl, log, and performance data cleanly into Looker Studio, BigQuery, and Tableau. Lumar also offers API access but does not single it out as a standout differentiator the way Oncrawl does.
- Both tools require a sales demo and disclose no public pricing; neither offers a self-serve signup or free trial.
Lumar and Oncrawl get compared constantly because they are both enterprise-only technical SEO platforms with no public pricing, both require a sales demo before you see a number, and both have quietly become AI search tools without abandoning their crawling roots. Lumar, the rebrand of DeepCrawl, has grown into a five-part platform: technical SEO crawling with AI-powered issue prioritization, AI brand visibility tracking for GEO and AEO across ChatGPT, Gemini, and Perplexity, site speed and Core Web Vitals monitoring, WCAG 2.2 accessibility compliance testing, and custom analytics with AI-generated remediation code. Oncrawl stays narrower and goes deeper on one thing most crawlers treat as a bolt-on: server log analysis, mapping exactly which URLs Googlebot and AI crawlers like GPTBot, ClaudeBot, and PerplexityBot actually visit, plus a dedicated layer tracking whether pages get cited in AI-generated answers. Lumar is trying to be the only platform an enterprise SEO team needs. Oncrawl is trying to be the most rigorous data layer underneath whatever stack that team already has.
The tools at a glance
Lumar
Enterprise website optimization combining technical SEO, AI visibility, and accessibility.
Lumar has expanded well past its DeepCrawl-era identity as a pure crawler. The platform now covers five areas under one contract: technical SEO crawling with an AI-powered layer that scores issues by likely impact rather than dumping a raw error list, AI brand visibility tracking for GEO and AEO across ChatGPT, Gemini, and Perplexity, site speed and Core Web Vitals monitoring, WCAG 2.2 accessibility compliance testing, and custom analytics with AI-generated remediation code that bridges diagnosis and developer implementation.
The AI brand visibility layer is the part most crawl-first competitors still lack. It sits alongside the traditional crawl data rather than as a separate product, so a team already building a GEO strategy does not need a second standalone platform just for that tracking. Combined with WCAG 2.2 testing built into the same crawl workflow, Lumar is aimed squarely at organizations trying to consolidate several vendors, technical SEO, accessibility compliance, and AI visibility, into one procurement relationship.
None of it is available without a sales conversation, and the platform assumes dedicated technical SEO staff who can configure five product areas properly. For a team that only needs one or two of those capabilities, the breadth is closer to overhead than value, and a more focused tool will likely be both cheaper and faster to stand up.
| Feature | Enterprise Contact for pricing |
|---|---|
| Pricing model | Custom |
Oncrawl
Cloud-based technical SEO platform combining crawl data, log analysis, and AI bot tracking.
Oncrawl is built around three data sources most platforms handle separately: crawl data, server log data, and performance data. Log analysis is not an add-on here, it is core to the product, mapping exactly which URLs Googlebot visits, how often, and where crawl budget is being spent on pages that will never rank. That combination of crawl and log data in one interface is what the platform is genuinely known for among enterprise technical SEOs.
On the AI side, Oncrawl tracks crawl activity from GPTBot, ClaudeBot, and PerplexityBot at the URL level, so teams can see exactly which content AI systems are indexing, not just whether they theoretically could reach it. A separate AI-generated answer visibility layer monitors whether pages actually appear as citations in AI responses. Paired with a REST API that exports cleanly into Looker Studio, BigQuery, and Tableau, Oncrawl is built for teams that already have data infrastructure and want a rigorous source to feed it, rather than a dashboard to replace it.
The trade-off is the same as Lumar's: enterprise-only pricing, a required demo, and a platform that needs real configuration effort to pay off. Oncrawl does not bundle accessibility testing or site speed monitoring the way Lumar does; it stays deliberately narrower and leans on crawl-and-log depth plus a strong API as its case for inclusion in a stack.
| Feature | Enterprise Contact for pricing |
|---|---|
| Pricing model | Custom |
Head-to-head feature comparison
| Feature | Lumar | Oncrawl |
|---|---|---|
| Overall score | 8.3 / 10 | 8.0 / 10 |
| Full site-wide SEO crawling | Yes, with AI-powered prioritization | Yes |
| Server log analysis | No | Yes, core feature |
| AI bot crawl tracking | No | Yes (GPTBot, ClaudeBot, PerplexityBot) |
| AI-generated answer citation monitoring | No | Yes, dedicated layer |
| AI brand visibility (GEO/AEO) tracking | Yes (ChatGPT, Gemini, Perplexity) | No, framed as crawl-adjacent tracking |
| WCAG accessibility testing | Yes (WCAG 2.2) | No |
| Site speed / Core Web Vitals monitoring | Yes | No |
| REST API for BI export | Yes | Yes, described as a genuine strength |
| White-label reporting | Not listed as a feature | Not listed as a feature |
| Self-serve signup | No, demo required | No, demo required |
| Starting price | Custom (sales-led) | Contact for pricing |
Considering AI Peekaboo alongside Lumar and Oncrawl?
Both Lumar and Oncrawl have built genuine AI-search tracking into their platforms, Lumar with GEO/AEO brand visibility across ChatGPT, Gemini, and Perplexity, Oncrawl with AI bot crawl tracking and citation monitoring, but in both cases that tracking arrives bundled inside a demo-gated enterprise contract with no published price. If the specific need is monitoring how a brand appears in AI-generated answers, without also buying a full crawl platform, accessibility suite, or log analysis layer to get there, AI Peekaboo is a self-serve AEO monitoring platform from $50 per month with a read/write API and white-label reporting on every plan, no sales call required.
Read the AI Peekaboo review →Which should you choose?
LumarOncrawlOncrawlLumarLumarOncrawlLumar and Oncrawl start from the same premise, enterprise pricing, a required demo, AI bot and citation awareness, and then diverge on what they build around it. Lumar spends its extra surface area on accessibility and site speed, betting that consolidation under one vendor is worth the added platform complexity. Oncrawl spends its extra surface area on log analysis depth and API quality, betting that teams with existing data infrastructure would rather feed a rigorous data source than adopt another dashboard. Neither choice is wrong; it depends on whether the unmet need in your stack is accessibility compliance or crawl budget forensics.
Bottom line
Choose Lumar if the goal is reducing vendor count, technical SEO, accessibility, site speed, and AI visibility tracking under a single enterprise contract, and your team can absorb the configuration overhead across five product areas. Choose Oncrawl if crawl budget waste, log-verified crawl behavior, or AI bot activity at the URL level is the specific problem, and you already have a BI pipeline that a well-documented API can feed. Neither is a fit for a team without dedicated technical SEO staff or the patience for a demo-first sales process; smaller teams should look at self-serve alternatives for whichever single capability they actually need.
Frequently asked questions
What is the main difference between Lumar and Oncrawl?
Lumar is a five-part platform bundling technical SEO crawling, AI brand visibility (GEO/AEO), site speed monitoring, and WCAG 2.2 accessibility testing under one contract. Oncrawl stays narrower, specializing in crawl-and-server-log analysis with AI bot crawl tracking and a dedicated AI-generated answer citation layer, backed by a REST API built for exporting into BI tools.
Which tool is better for tracking AI bots like GPTBot or ClaudeBot?
Oncrawl is the more specific fit. It tracks crawl activity from GPTBot, ClaudeBot, and PerplexityBot at the URL level as part of its core log analysis, showing exactly which content each AI bot is indexing. Lumar's AI capability is framed around brand visibility in AI-generated answers across ChatGPT, Gemini, and Perplexity rather than bot-level crawl logs.
Does either Lumar or Oncrawl offer self-serve pricing?
No. Neither tool publishes pricing or offers a self-serve signup. Both are sold as enterprise contracts that require booking a demo before you see a number, which is common for platforms this configurable but adds friction for teams wanting to evaluate quickly.
Which tool has server log analysis?
Oncrawl. Log file analysis is a core, always-on part of its platform, mapping which URLs search engines and AI crawlers actually visit and where crawl budget is wasted. Lumar does not list server log analysis among its five product areas.
Is Lumar or Oncrawl better for accessibility compliance work?
Lumar, and it is not close. Lumar includes WCAG 2.2 accessibility compliance testing built directly into its crawl workflow, which matters for enterprise legal and compliance teams. Oncrawl has no accessibility testing feature at all.
Is there a self-serve way to track AI visibility without buying into Lumar or Oncrawl's full enterprise platform?
Yes. Both tools' AI tracking features are real but bundled inside demo-gated enterprise contracts with no published price. AI Peekaboo tracks brand visibility across ChatGPT, Gemini, Perplexity, and Google AI Overviews as a standalone self-serve product from $50 per month with API access and white-label reporting on every plan, which suits teams that need the AI tracking specifically without the crawl, accessibility, or log analysis layers around it.