Is lumar.io agentic-ready?
An independent 15-signal audit of how ChatGPT, Perplexity, Gemini and Claude see lumar.io — measured live on May 24, 2026 at 5:46 PM UTC.
lumar.io scored 75 / 100 on the Agentic Audit. Verdict: Good — minor optimizations available. The highest-priority fix is to add faqpage json-ld to product & info pages — estimated +8 score points in 1-2 days.
lumar.io your site?Claim this audit and get weekly score monitoring + alerts when ChatGPT, Perplexity or Gemini change how they cite you.How AI sees lumar.io
We asked ChatGPT and Gemini three real questions about lumar.io. 5 of 6 answers mentioned the brand by name.
Q1.What is lumar? Briefly describe what they do.
Lumar, formerly known as Deepcrawl, is a New York-based company founded in 2010 that offers an enterprise-scale website optimization platform. Their cloud-based technology assists digital teams in enhancing their websites' technical health and organic search performance, as well as achieving WCAG compliance. Lumar's platform integrates various tools to help businesses scale their digital operations by unifying teams, data, and insights necessary for maintaining high-performing, revenue-driving websites. Their services are utilized by website, SEO, accessibility, and digital marketing teams at …
Lumar is an enterprise-scale website optimization platform that provides a comprehensive toolkit for digital teams. Formerly known as Deepcrawl, the company rebranded to Lumar to reflect its expanded focus beyond just technical SEO. Lumar's core function is to help businesses optimize their online presence and drive organic growth by improving various aspects of their websites. They achieve this by using world-class website crawling technology to analyze and audit websites at scale, even those with millions of pages. Here's a brief breakdown of what Lumar does: * **Technical SEO** Lumar he…
Q2.Is lumar reputable and worth using? What are the pros and cons?
Lumar is a specialized platform designed to analyze the technical health of websites, focusing on aspects like crawling, on-page signals, and sitewide issues that can impact search engine performance. ([wizbrand.com](https://www.wizbrand.com/tutorials/lumar/?utm_source=openai)) **Reputation and User Feedback:** Lumar has received positive feedback from both employees and users: - **Employee Reviews:** On Glassdoor, Lumar holds a rating of 4.1 out of 5, with 79% of employees willing to recommend the company to a friend. ([glassdoor.com](https://www.glassdoor.com/Reviews/Lumar-Reviews-E189336…
Lumar, formerly known as Deepcrawl, is widely regarded as a reputable and powerful
Q3.What are the best alternatives to lumar? List 3-5 competitors.
If you're seeking alternatives to Luminar for photo editing, here are several noteworthy options: [Editor de Foto: 12 melhores Alternativas Ao Photoshop grátis](https://dica.com.br/editor-de-foto?utm_source=openai) **GIMP** A free, open-source photo editor offering advanced features like layer support, masks, and a wide range of plugins. It's suitable for both beginners and professionals. ([alternativeto.net](https://alternativeto.net/software/luminar-photo-editor/?utm_source=openai)) [How to Navigate the Photo Editor using Photoshop 15](https://www.universalclass.com/articles/computers…
dica.com.brEditor de Foto: 12 melhores Alternativas Ao Pho…alternativeto.netLuminar Neo Alternatives: Top 12 Image & Raw Ph…universalclass.comHow to Navigate the Photo Editor using Photosho…g2.comTop 10 Luminar Neo Alternatives & Competitors i…
If you're looking for alternatives to Lumar (formerly Deepcrawl), several strong competitors offer similar and complementary SEO functionalities. Based on industry ratings and frequent mentions, here are 3-5 top alternatives: * **Semrush** is often cited as a leading alternative to Lumar, boasting high user ratings. It's an all-in-one SEO platform known for its comprehensive keyword research, competitor analysis, website analytics integration, and real-time reporting capabilities. * **Ahrefs** is another highly-rated tool that provides a robust suite of SEO features. It excels in areas su…
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What we observed on lumar.io
The audit ran 15 signal checks against lumar.io on May 24, 2026 at 5:46 PM UTC. Each signal is graded individually below with the actual value extracted from the live site — not generic recommendations. You can re-run this audit at any time to see updated values.
| Signal | Status | Observed value |
|---|---|---|
| GPTBot OpenAI / ChatGPT crawl |
Not declared | No rule found |
| PerplexityBot Perplexity AI crawl |
Not declared | No rule found |
| Google-Extended Gemini grounding |
Not declared | No restriction |
| ClaudeBot Anthropic Claude crawl |
Not declared | Not declared |
| llms.txt AI crawler manifest |
Blocked | GET /llms.txt → 404 |
| sitemap.xml URL discovery |
Allowed | Found at /sitemap.xml |
| Organization JSON-LD Entity clarity |
Allowed | Found · 5 sameAs links |
| FAQPage JSON-LD Highest-extractability signal |
Blocked | Missing on all pages |
| Product / HowTo schema Rich snippet eligibility |
Not declared | Neither found |
| WebSite schema Search action |
Allowed | Found |
| Person schema (E-E-A-T) Author authority |
Not declared | Missing |
| Open Graph meta Social + AI extraction |
Not declared | og:title ✓ · og:desc ✓ · og:image ✗ |
| Canonical URL Duplicate prevention |
Allowed | Declared |
| dateModified signal Freshness |
Allowed | Found |
| Markdown companion Clean prose for AI |
Not declared | Not detected |
Why this score (mechanism)
Three structural factors drove lumar.io's score, in order of impact:
1 · Crawl access
Of the four major AI engines, lumar.io allows or does not block any of the major AI bots — full crawl access is in place.
2 · Entity clarity
lumar.io publishes Organization JSON-LD, and no pages expose FAQPage schema — the most underused high-leverage signal for AEO. Without it, AI engines cannot extract Q&A directly into answer snippets even when the answer is on the page.
3 · Citation readiness
Content depth on the homepage measures 1,975 words across 19 headings, with 2 question-form headings detected. Content depth is strong — well above the threshold AI engines reward.
Recommended fixes (in priority order)
Add FAQPage JSON-LD to product & info pages
FAQPage schema is the highest-extractability signal for AEO. AI engines read it directly into answer snippets — without it you cannot be the source of an answer even when the answer is on your page.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [{
"@type": "Question",
"name": "What does your product do?",
"acceptedAnswer": { "@type": "Answer", "text": "..." }
}]
}
</script>Explicitly allow ClaudeBot
Anthropic's ClaudeBot honors explicit allow rules. Adding one signals consent and improves crawl frequency.
User-agent: ClaudeBot
Allow: /Publish /llms.txt manifest
Perplexity and emerging AI crawlers respect /llms.txt for crawl preferences. A missing manifest means the engine guesses your priorities. See llmstxt.org for the format.
# Your Brand
> One-line description
## Docs
- [Getting Started](https://yourdomain.com/docs)
- [API Reference](https://yourdomain.com/api)Serve a /index.md companion page
Anthropic, Stripe, Mintlify and Vercel docs serve clean .md mirrors so AI bots get pure prose without DOM noise. Pages with .md companions are cited at higher rates.
Unlock your live AI citation report
Free live scan across ChatGPT, Perplexity, Gemini and Claude · competitor share-of-voice · PDF export. Sent to your inbox in ~2 min.
Methodology & how we built this report
The Agentic Audit is a per-domain field study, not a programmatic content page. Each report is generated only when a real user requests an audit of a specific domain — there is no pre-spawning of report URLs.
We extract 15 distinct signals directly from the live target site (robots.txt, sitemap.xml, llms.txt, JSON-LD blocks, OpenGraph tags) and grade each against documented thresholds. Methodology is versioned (currently v1.0) and weights are documented per category.
Scoring weights: Crawl Access 30% · Schema 25% · Citation Readiness 25% · Freshness 20%. Each category accumulates points from individual signals; the total is the Agentic Score (0-100).
✓ Compliant with Google's March 2024 spam policies
Each report contains unique, first-party measurements of a specific domain — not "scaled content abuse" as defined in Google's March 2024 update. Reports are people-first under the Helpful Content guidelines: the data is original, the recommendations are actionable and source-attributed. Reports come from two sources — visitor-requested audits, and a small hand-curated seed list of recognized SaaS companies whose AI visibility has genuine search demand. Both use the same live measurement pipeline; nothing is template-filled. This report meets our quality threshold and is indexable.
What this report does not include
- This audit measures retrievability and entity signals, not content quality. A site can score 100/100 here and still publish weak content.
- Live citation rates from AI engines are gated behind email — we run them on demand because each query has a cost. Unlock above to see lumar.io's actual ChatGPT, Perplexity, Gemini and Claude mention rates.
- We do not guarantee score improvements. The "estimated lift" on each fix is based on observed deltas in our audit history, not a guarantee.
- This score is a snapshot. AI engines update continuously; re-audit weekly to see drift.
Frequently asked questions
Is lumar.io agentic-ready?
lumar.io scored 75 out of 100 on the Agentic Audit, measured May 24, 2026 at 5:46 PM UTC. Verdict: Good — minor optimizations available. The full breakdown shows crawl access 23/30, schema 13/25, citation readiness 22/25, and freshness 17/20.
Does lumar.io block any AI crawlers?
lumar.io does not block any of the major AI crawlers (GPTBot, PerplexityBot, Google-Extended, ClaudeBot) at the root level.
What is the highest-priority fix for lumar.io?
Add FAQPage JSON-LD to product & info pages. FAQPage schema is the highest-extractability signal for AEO. AI engines read it directly into answer snippets — without it you cannot be the source of an answer even when the answer is on your page. Estimated lift: +8 score points.
How is the Agentic Score calculated?
The Agentic Score combines four weighted categories: Crawl Access (30 points — robots.txt rules for the four major AI bots plus llms.txt), Schema (25 points — JSON-LD coverage including Organization, FAQPage, Product/HowTo), Citation Readiness (25 points — content depth, heading structure, FAQ headings, meta description, markdown companion), and Freshness (20 points — sitemap, dateModified, canonical, complete OpenGraph). Each signal is measured live from the target domain.
Is this report indexed in Google?
Yes. This report has organic engagement (62 views) and meets the quality threshold for indexing. It appears in our sitemap.xml.
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Drop this badge in your footer, README, or about page. It links back to this live report and updates automatically when you re-run the audit.
