Lumar vs URL Profiler in 2026: enterprise crawl-and-AI platform vs desktop bulk data tool
Lumar bundles AI answer-engine visibility, Core Web Vitals, and WCAG 2.2 accessibility testing into a sales-led enterprise contract. URL Profiler is a $19.95/month desktop app built to pull link metrics, content scores, and scraped contact data across a million URLs in one run.
Lumar scores 8.3 overall against URL Profiler's 7.8, though URL Profiler's value-for-money score of 9.0 actually beats Lumar's 7.0.
Lumar tracks AI brand visibility across ChatGPT, Gemini, and Perplexity as a core GEO/AEO feature. URL Profiler has no AI search tracking of any kind; its data sources are link metrics, content, social signals, and contact information.
URL Profiler processes up to 1,000,000 URLs per import by connecting to Moz, Majestic, Ahrefs, Google Analytics, and PageSpeed APIs in one run. Lumar has no equivalent bulk multi-source data pull.
URL Profiler scrapes email addresses and WHOIS registration data for outreach prospecting, a use case entirely outside what Lumar is built for.
Lumar bundles WCAG 2.2 accessibility testing and Core Web Vitals monitoring directly into its crawl workflow. URL Profiler has neither.
URL Profiler's Pro plan costs $25.95/month billed yearly with a 14-day free trial and no credit card required. Lumar publishes no pricing and requires a sales demo before you see a number.
URL Profiler runs as a desktop app with no scheduling, dashboards, or server log analysis. Lumar is a hosted platform built for ongoing monitoring, though its own feature set does not mention server log analysis either.
Lumar and URL Profiler share a Technical SEO tag and not much else. Lumar is a cloud platform sold through a demo: full-site crawling with AI-powered issue prioritization, AI brand visibility tracking across ChatGPT, Gemini, and Perplexity, Core Web Vitals monitoring, and WCAG 2.2 accessibility testing, all under one enterprise contract with no public price. URL Profiler is a Windows/Mac desktop app you configure once and run whenever you need it: point it at a URL list, connect your own Moz, Majestic, Ahrefs, and Google Analytics keys, and it pulls link metrics, readability scores, social data, and scraped email and WHOIS records across up to a million URLs in a single pass, starting at $19.95/month. Neither tool touches the other's actual job. Lumar has nothing for bulk link auditing or outreach prospecting, and URL Profiler has no AI visibility tracking, accessibility testing, or ongoing site monitoring of any kind.
The tools at a glance
Lumar
Enterprise website optimization combining technical SEO, AI visibility, and accessibility.
Lumar runs a full-site crawl covering redirects, canonicals, hreflang, page depth, internal linking, and structured data, then applies AI-powered prioritization so the highest-impact issues surface first instead of a flat list of errors. Structured data here means detection: the crawler flags missing or broken schema as one line item among dozens of checks; it does not author new markup.
The part that has no equivalent in URL Profiler is the AI visibility layer. Lumar tracks how a brand appears in AI-generated answers across ChatGPT, Gemini, and Perplexity, sitting inside the same platform as the crawl data, Core Web Vitals monitoring, and WCAG 2.2 accessibility testing. For a team trying to consolidate technical SEO, AI search measurement, and accessibility compliance under one vendor, that combination is the actual pitch.
What Lumar does not do is bulk data collection across a URL list. There is no link-metric pull from Moz or Ahrefs, no email or WHOIS scraping, no readability scoring. It is built for ongoing platform-level monitoring of one site at a time, sold through a demo with no published price and no self-serve signup.
| Feature | Enterprise Contact for pricing |
|---|---|
| Technical SEO crawling | Yes |
| AI visibility (GEO/AEO) tracking | Yes, ChatGPT, Gemini, Perplexity |
| WCAG 2.2 accessibility testing | Yes |
| Core Web Vitals monitoring | Yes |
| Bulk link-metric or contact data pulling | No |
| API access | Yes, for data export |
URL Profiler
Bulk URL auditing desktop app that collects link metrics, content data, social signals, and email addresses across thousands of URLs at once
URL Profiler is a desktop app, not a hosted dashboard, and that shapes what it is for. You configure a run, plug in your own Moz, Majestic, Ahrefs, and Google Analytics API keys, point it at a URL list, and it pulls link metrics, five separate readability scores, social share counts, HTTP status, and PageSpeed data across up to a million URLs in one pass.
It is also one of the few tools built specifically for outreach workflows: it scrapes email addresses directly off pages and pulls WHOIS registration emails per domain without hitting captchas, which lets a link builder qualify prospects and assemble a contact list in the same run that checks their link metrics.
What it does not do is anything ongoing. There is no scheduling, no dashboards, no alerting, and no AI visibility or accessibility layer of the kind Lumar builds its whole platform around. Output is a CSV you analyze yourself. At $25.95/month for the Pro plan with unlimited monthly URLs and a 14-day free trial, it is a cheap, high-volume data collection engine rather than a monitoring platform.
| Feature | Solo $19.95/month (billed yearly) | Pro $25.95/month (billed yearly) | Agency $64.95/month (billed yearly) |
|---|---|---|---|
| Max URLs per import | 5,000 | 1,000,000 | 1,000,000 |
| URLs per month | Unlimited | Unlimited | Unlimited |
| Device licenses | 1 | 2 | 20 |
| Link metrics (Moz/Majestic/Ahrefs) | ✓ | ✓ | ✓ |
| Email and WHOIS harvesting | ✓ | ✓ | ✓ |
| Free trial | 14 days, no card | 14 days, no card | 14 days, no card |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Overall score | 8.3 / 10 | 7.8 / 10 |
| Deployment model | Cloud SaaS (enterprise, demo required) | Desktop app (Windows/Mac) |
| Full technical SEO crawl | Yes | No, checks HTTP status and redirects only |
| AI brand visibility tracking (GEO/AEO) | Yes, ChatGPT, Gemini, Perplexity | No |
| Site speed / Core Web Vitals monitoring | Yes | No |
| WCAG accessibility testing | Yes (WCAG 2.2) | No |
| Bulk link metrics (Moz/Majestic/Ahrefs) | No | Yes, up to 1,000,000 URLs/import |
| Email / WHOIS harvesting | No | Yes |
| Content readability analysis | No | Yes, 5 readability scores |
| API access | Yes, for data export | No dedicated API (uses your own third-party keys) |
| Free trial | No, demo required | Yes, 14 days, no card |
| Starting price | Contact for pricing | $19.95/mo |
Lumar tracks AI answer visibility, but only inside an enterprise contract. URL Profiler has no AI-search feature at all.

Lumar's GEO/AEO layer covers ChatGPT, Gemini, and Perplexity, which is a genuine capability, but it comes bundled with a full crawl-and-accessibility platform behind a sales demo and no published price. URL Profiler has no AI citation tracking whatsoever; its entire scope is bulk link metrics, content data, and contact scraping. AI Peekaboo covers the AI visibility job on its own as a self-serve product, tracking brand mentions across ChatGPT, Gemini, Perplexity, and Google AI Overviews from $50/month with a read and write API on every plan, no enterprise contract or bulk desktop tool required.
Read the AI Peekaboo review →Which should you choose?
These two do not compete for the same budget line. Lumar is a platform subscription: ongoing crawl monitoring, AI answer visibility, Core Web Vitals, and accessibility testing rolled into one enterprise contract with no published price. URL Profiler is a tool you open for a specific job, a link audit, a content inventory, an outreach list, and close again once the CSV lands. A team that needs AI visibility tracking will not find it in URL Profiler at any price, and a team that needs to scrape emails and WHOIS records across 100,000 URLs will not find that workflow in Lumar.
Bottom line
Book the Lumar demo if the actual requirement is AI answer-engine visibility, Core Web Vitals, or WCAG 2.2 compliance sitting alongside your crawl data, and the budget supports an enterprise contract. Buy URL Profiler at $25.95/month if the job is bulk link auditing, content inventories, or outreach prospecting across large URL lists, since nothing in Lumar's feature set replicates that. Agencies doing both technical SEO monitoring and link-building outreach for the same clients will likely end up running both, since neither tool substitutes for the other.
Frequently asked questions
Does URL Profiler track AI search visibility the way Lumar does?
No, URL Profiler has no AI visibility tracking of any kind. Its data sources are bulk link metrics, content readability, social signals, and scraped contact information, none of which touch how a brand appears in ChatGPT, Gemini, or Perplexity answers. Lumar tracks that directly as part of its GEO/AEO layer.
Is Lumar worth it if I only need bulk link metrics across a client list?
Probably not. Lumar has no bulk link-metric pulling, no email or WHOIS scraping, and no readability scoring, the exact jobs URL Profiler is built around. Paying enterprise pricing for a platform that does not do the job you actually need is the wrong trade, and URL Profiler's Pro plan at $25.95/month covers that use case directly.
Can URL Profiler replace a full crawl platform like Lumar for ongoing site monitoring?
No, URL Profiler cannot replace an ongoing monitoring platform because it has no scheduling, dashboards, or alerting: you run it manually each time you need a data pull, and it produces a CSV rather than a continuously monitored view of a site. Lumar is built specifically for continuous monitoring with automated crawls and AI-powered issue prioritization.
Which tool is cheaper for a small agency in 2026?
URL Profiler is dramatically cheaper, with the Solo plan starting at $19.95/month billed yearly and a 14-day free trial requiring no card. Lumar publishes no pricing at all and requires a sales demo, which typically signals enterprise-level cost well beyond what a small agency budgets for a single tool.
Does Lumar generate or author schema markup, or only detect it?
Lumar only detects it. The crawler flags missing or broken structured data as one item among many technical checks, the same way it flags a broken canonical tag, but it does not generate new schema or apply markup across templates.
Is there a cheaper way to get AI answer-engine visibility than an enterprise Lumar contract?
AI Peekaboo tracks brand mentions across ChatGPT, Gemini, Perplexity, and Google AI Overviews as a self-serve product starting at $50/month with a read and write API on every plan. Lumar's AI visibility feature covers similar ground but only inside a full enterprise crawl-and-accessibility platform with contact-only pricing, and URL Profiler has no AI tracking of any kind.

