Directory · Video and image generation
Luma AI — what a crawler receives from luma.ai
Website measurement, not a product review. This page records what machine clients received from luma.ai. It does not evaluate Luma AI software, features, pricing or support.
Answer engines can technically reach this site, but get little they can use.
AI visibility 59/100, measured 2026-09-18 03:05 UTC from outside its network, as twelve named crawler identities plus an unnamed client and two mobile-browser controls. An engine can technically reach this site and would struggle to get anything quotable out of it.
1
finding
✓
llms.txt on its host
✗
entity map on its host
1
scans on record since 2026-09-18
The three stages, in the order an engine hits a site
Each stage gates the next. An engine that cannot reach a page never reads it; one that cannot read it never quotes it. That is why reach is a ceiling and not just a weight.
Stage 1 · 40% of the score
Reach
Can a named answer-engine crawler get your pages at all?
At least one answer engine was refused, challenged or served less than a browser.
Stage 2 · 30% of the score
Read
Once it has the bytes, can it find the words?
The content is buried in markup, or the files that guide a crawler are missing.
Stage 3 · 30% of the score
Quote
Is there a specific fact it can state and attribute?
An assistant would have to paraphrase your page instead of quoting a fact.
The stage to fix first is quote, because the three run in order.
What to fix
1 finding on this site, 1 of them scored serious. The top one is below in full, free. Want it fixed for you? We implement it and re-measure.
1 Medium
1The page’s content only exists after JavaScript runsThe server delivered 109 words of readable text and a Next.js mount point. Everything a visitor sees is built by JavaScript after this response.MediumDeveloper
What we saw
The server delivered 109 words of readable text and a Next.js mount point. Everything a visitor sees is built by JavaScript after this response.
Why it matters
The HTML the server sends is an application shell: a framework mount point and a script bundle, with almost no readable text. A browser runs the bundle and the page appears. A crawler that does not execute JavaScript — which is most AI crawlers and every training-data fetch — receives the shell and quotes nothing. This is measured on the bytes the server delivered, not on a rendered view; a framework by itself is not the defect, an empty delivery is.
How to fix it
Render the page on the server or at build time (Next.js/Nuxt/SvelteKit SSR or SSG, or a prerender step) so the delivered HTML already contains the text. Check by fetching the page with curl: the words a crawler needs must be in that response.
Developer: a template, theme or application change — a developer touches it
CONTENT_NEEDS_JAVASCRIPT · full transcript
Or have them fixed
We implement the list on your site and re-measure, with a sealed before and after. One site, $749 once.
Get this fixed — $749The main product
We fix the 1 finding on luma.ai. $749, once.
1 of them are scored serious. One site. You keep the grade for free — this is the part where the list stops being a list.
- Every finding implemented on the site itself: machine files, schema, NAP, the lot
- An entity map authored for your business, not a template with the name swapped
- Measured again afterwards — the before and the after, sealed, so it is evidenced rather than claimed
- Thirty days of monitoring included
- Work starts within two business days
What it covers · one payment, nothing recurring
The chain a crawler follows
The chain breaks at entity graph. Everything after that point is only reachable by a crawler guessing the conventional path.
A machine file that does not parse is worth less than one that is absent, because it looks present. Rows behind this.
Where the bytes go
Of the 38,271 decompressed bytes the homepage delivers, 1.6% is text a reader or a model can actually use. Most of what a crawler downloads here is not words.
- Readable text 1.6% · 595 B
- Markup & attributes 12.2% · 4,650 B
- Inline JavaScript 85.7% · 32,804 B
- HTML comments 0.6% · 222 B
The individual blocks that weigh the most, so the fix is a search rather than a hunt:
- Inline JavaScript · 31,672 B (82.8%) — unnamedopens
self.__next_f.push([1,"1:\"$Sreact.fragment\"\n2:I[339756,[\"/_next/st
What changed
No change recorded between the readings on file yet.
1 scan on record, first 2026-09-18. Score movements are shown only between readings taken under the same score version; finding codes are comparable across all of them.
Is this your site?
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Claim the record for luma.aiIs this your company?
This listing came from a fetch, not a submission, so nobody was asked. If luma.ai is yours you can prove it in a minute and for nothing — a DNS TXT record or one meta tag on the home page, both checkable by anyone.
Claiming marks you as the verified owner and lets you correct the category and the company name. It moves no score, no rank and no position.
Claim this listing — free or ask about a verified profile
Dispute or re-scan
If a reading here is wrong, it is our instrument that is wrong, and we want to know. Tell us what is wrong and the site is re-measured; the result is published as measured. Nothing about a listing, a payment or a request changes a number.
By email instead: hello@crawlcheck.io. Category “Video and image generation” is our label for what the product is primarily sold as; it is not scored. Back to the directory.