New: @citelens/middleware. Native llms.txt for Next.js in two commands.
54/100

AI Readability Score

xposter.app

Ahead of 65% of sites

Missing

xposter.app has no llms.txt

It's the single highest-impact AI-readability fix. Typically an 8 to 12 point lift. We'll generate a production-ready file for this domain in one click.

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Content clarity

42/100Needs work

AI analysis · The page headings use fragmented, stylised marketing phrases that are hard for an LLM to parse as factual statements, and the full page text failed to load, leaving only headings and structured data to evaluate.

Replace stylised headings like 'Sound like yourself. At scale.' with direct declarative sentences such as 'XPoster generates X/Twitter posts in your writing style using Claude AI' that an LLM can quote verbatim.

Structured data

100/100Good

Automated check · Found 1 JSON-LD block(s) and 4 OpenGraph tag(s).

Good structured-data coverage. Keep schema types accurate and in sync with on-page content.

Semantic structure

80/100Good

Automated check · 13 heading(s), 2 H1, 4 list(s).

The page has 2 <h1> elements — use exactly one <h1> and demote the rest to <h2>/<h3> for a clear hierarchy.

Entity definition

65/100Needs work

AI analysis · The JSON-LD and meta description establish the core entity reasonably well — name, category, pricing tiers, and feature list are present — but the actual page body failed to load, meaning an AI crawling the live page would find no readable prose to confirm what XPoster is or who it serves.

Ensure the 'What is XPoster?' FAQ answer is fully rendered in crawlable HTML, not just in JSON-LD, so AI systems can extract a clear definitional statement from the page body.

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 structured data contains useful specifics (47 niches, 16 tones, 12 modes, four named pricing tiers with exact prices, 20 free credits) but the page body did not load, so no prose-level facts, statistics, named sources, or concrete examples are accessible to AI systems reading the page content.

Surface the key numbers — 47 niches, 16 tones, 12 content modes, pricing from $4.99/month — as visible, crawlable body text rather than storing them only in JSON-LD and the meta description.

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AI Readability
54/100
AI Readability Score
xposter.app
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Top Issues
llms.txt presence
0
Factual density
38
Content clarity
42
Ahead of 65% of sites
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