New: @citelens/middleware. Native llms.txt for Next.js in two commands.
46/100

AI Readability Score

skarbi.app

Ahead of 55% of sites

Missing

skarbi.app has no llms.txt

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Content clarity

72/100Good

AI analysis · The page uses plain, direct language that clearly explains the product's purpose and flow, with minimal jargon, though some sections lean into soft marketing tone ('calm', 'quiet') without grounding those claims in specifics.

Replace vague phrases like 'a calmer way to plan family gifts' with concrete differentiators, e.g., 'no account required for guests, reservations hidden from recipients, one link to share'—these facts are already on the page but buried.

Structured data

0/100Missing

Automated check · No JSON-LD or OpenGraph markup detected.

Add JSON-LD structured data (schema.org) describing the page — e.g. Organization, Product, Article, or FAQPage — so AI systems can extract entities reliably.

Semantic structure

100/100Good

Automated check · 25 heading(s), 1 H1, 3 list(s).

Solid heading hierarchy and list usage. Keep headings descriptive and specific.

Entity definition

68/100Needs work

AI analysis · The page establishes that Skarbi is a wishlist and gift-planning app for families, but lacks a single canonical 'what is Skarbi' sentence with key attributes (platform type, current status, price) that an AI could reliably extract and cite.

Add a concise structured definition near the top, e.g., 'Skarbi is a web and mobile app (currently in waitlist beta, free tier available) that lets families create shared wishlists, track gift ideas, and allow guests to reserve gifts anonymously without accounts.'

llms.txt presence

0/100Missing

Automated check · No /llms.txt file found at the domain root.

Create an /llms.txt at your domain root — the emerging standard for giving AI systems a curated, markdown map of your most important content.

Factual density

38/100Needs work

AI analysis · The page contains a handful of concrete UI details and a free-tier price point ($0) but almost no citable statistics, named sources, dates, user counts, or external references to give AI systems quotable evidence.

Add at least one quantified claim from the waitlist build process, e.g., 'Built with feedback from [X] families on the waitlist' (the page says 'families on the waitlist' but omits any number).

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AI Readability
46/100
AI Readability Score
skarbi.app
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Top Issues
Structured data
0
llms.txt presence
0
Factual density
38
Ahead of 55% of sites
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