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SCANNED
Jul 9, 2026, 2:23 AM
VISIBILITY
Public
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89/100

OVERALL SCORE

Level 4, Mostly Ready

Good readiness for AI agents
AIDiscoverability89%Agent Easeof UseNot AppliedSecurity& TrustNot AppliedGEO, AIO, AEONot Applied
  • AI Discoverability 89 out of 100
  • Agent Ease of Use not applicable
  • Security & Trust not applicable
  • GEO, AIO and AEO not applicable

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

CodexBar — every AI coding limit in your menu bar favicon

CodexBar — every AI coding limit in your menu bar

A tiny macOS menu bar app that tracks AI coding-provider usage windows, credits, costs, and resets across 56 providers — Codex, OpenAI, Claude, Cursor, Gemini, Copilot, LiteLLM, and more.

Open Agent View
Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
89
Mostly ready301
Content Readiness
89
Mostly ready301

Prioritized recommendations

Issues ranked by score impact

1 item need attention

AI DiscoverabilityContent ReadinessEmerging recommendation

llms.txt

llms.txt has a validation warning at "Score llms.txt structure and usefulness".

11 Warning

Needs attention

llms.txt

Warning
01

Issue

llms.txt is present, but its structure or link curation is weaker than the emerging proposal and production examples.

Details

02

Why it matters

llms.txt is an emerging Markdown convention for giving language-model clients curated context and links before they crawl broadly. Broken, private, or low-signal links make the file much less useful even when it exists.

Check name

llms.txt

Score

89/100

Status

warning

Category

Content Readiness

Maturity

Emerging recommendation

Goal

Publish a concise llms.txt index that helps agents discover useful public site context.

Result

llms.txt has a validation warning at "Score llms.txt structure and usefulness".

Validation steps

  1. Score llms.txt structure and usefulness

    llms.txt is present, but its structure or link curation is weaker than the emerging proposal and production examples.

    llms.txt structure warning

    Missing a blockquote summary. The llms.txt proposal recommends a concise blockquote after the H1.

    llms.txt structure warning

    Missing H2 sections for grouping important links.

    llms.txt structure warning

    No Markdown-formatted links were found.

    llms.txt structure warning

    Several links have vague labels or raw URL labels.

  2. Inspect optional llms-full.txt

    Passed.

Evidence log2 steps · 10 lines
Score llms.txt structure and usefulness [warning]! llms.txt is present, but its structure or link curation is weaker than the emerging proposal and production examples.INFOScore llms.txt structure and usefulnessINFOChecking recommended summary, sections, link labels, agent-friendly links, duplicates, and unsafe targetsWARNCheck blockquote summary is present actual=false expected=trueWARNCheck H2 section count actual=0 expected="> 0"WARNCheck Markdown-formatted links actual=0 expected="> 0"PASSCheck unsafe/private link count actual=0 expected=0WARNllms.txt structure-quality validation completed with warnings reason="llms.txt is present, but its structure or link curation is weaker than the emerging proposal and production examples."Inspect optional llms-full.txt [informational]INFOInspect optional llms-full.txtINFOTrying to fetch /llms-full.txt url="https://codexbar.app/llms-full.txt"SKIP/llms-full.txt is not present statusCode=404

Fix with MCP or CLI

Use this report as the handoff into remediation. Generate a coding-agent prompt with the failing checks attached, or jump to the MCP and CLI setup docs before your next rescan.

Fix with MCP / CLI

Score history

Public scan score over time

Public reports for this website origin. Select any point or report link to open that canonical report.

2 reports
Public score history report links
Scan dateScoreReadinessReport
59/100Level 3, Bot-AwareView report
89/100Level 4, Mostly ReadyCurrent report