Overall AI readiness score
A combined result across all audit signals.
Excellent
AI readiness audit: 7/21/2026Public technical data
Overall AI readiness assessment
How ready swept.ai is for AI systems
Swept AI was independently audited by llmsmap. swept.ai currently scores 89/100 for AI readiness. The result combines AI-specific files, crawler policy, sitemap discovery, structured homepage data, and—when available—the mobile Google Lighthouse technical profile.
Audit context
llms.txt is accessible and contains 754 tokens. An expanded llms-full.txt is also available with 23,506 tokens, giving agents more direct context. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 11 of 11 tracked AI bots are not blocked. Declared sitemaps: 1. The homepage exposes Schema.org types Organization, WebSite; 10 OpenGraph tags were found and markup completeness is 90%.
The mobile Lighthouse profile adds Performance 50/100, Accessibility 91/100, Best Practices 100/100, SEO 100/100, and experimental Agentic Browsing 58/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
Confirmed strengths
- Accessible llms.txt
- Expanded llms-full.txt
- 1 sitemap declaration
- Schema.org: Organization, WebSite
- Complete social metadata
Priority improvements
- 1Reduce mobile rendering delay and main-thread work.
llms.txt tokens754
llms-full.txt tokens23,506
ai.txt
sitemap.xml
Google Lighthouse technical profile
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
50
Performance
91
Accessibility
100
Best Practices
100
Technical SEO
58
Agentic Browsing
What these results mean
Mobile performance is 50/100, with the largest visible content block appearing in 14.7 s and the browser main thread blocked for 120 ms. Layout shift was 0.159. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 91/100, Best Practices 100/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 58/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
1
Reduce code that loads without helping the page
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
2
Reduce network delay
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
3
Make controls unambiguous
Give buttons and links accessible names, associate labels with fields, and use ordered headings and semantic regions. The same structure helps screen readers and software agents understand actions.
4
Improve interface contrast and readability
Increase contrast for text, states, and interactive controls so both people and visual agents can distinguish content from actions and supporting labels.
FCP5.2 s
First content
LCP14.7 s
Main content
CLS0.159
Layout stability
TBT120 ms
Blocking time
SI8.6 s
Visual speed
Metric glossary
- FCP · First content
- When the first text or image appeared on screen.
- LCP · Main content
- When the largest visible element in the first viewport rendered.
- CLS · Layout stability
- How much content shifted unexpectedly while loading; lower is better.
- TBT · Blocking time
- How long the browser main thread could not respond quickly to input.
- SI · Visual speed
- How quickly the visible viewport filled with content.
7/21/2026Lighthouse 13.4.0Mobile profile
AI readiness checks
Machine-readable files, crawler policy, discovery, and homepage markup.
ai.txt
ai.txt file was not found
Sitemap in robots.txt1
1 sitemap found
Schema.org (JSON-LD)
Types: Organization, WebSite
OpenGraph90%
10 OG tags found
AI bot access
Based on robots.txt analysis
GPTBotAllowed
OAI-SearchBotAllowed
ChatGPT-UserAllowed
Google-ExtendedAllowed
ClaudeBotAllowed
Claude-SearchBotAllowed
Claude-UserAllowed
BytespiderNot mentioned
CCBotAllowed
PerplexityBotAllowed
Perplexity-UserAllowed
Sitemaps
Declared discovery routes for crawlers and agents.
OpenGraph tags
Social preview metadata found on the homepage.
og:titleEnterprise AI Trust, Safety & Compliance Framework | Swept AIog:descriptionTrust your AI with Swept AI's 9-Pillar framework for integrity, safety, and compliance. Real-time supervision, auditing, bias protection, and observability—enterprise-ready and health industry-savvy.og:urlhttps://www.swept.aiog:site_nameEnterprise AI Trust, Safety & Compliance Framework | Swept AIog:localeen_USog:image:width1200og:image:height630og:image:altEnterprise AI Trust, Safety & Compliance Framework | Swept AIog:typewebsiteSchema.org markup
Structured entities and properties exposed on the homepage.
OrganizationWebSite
nameSwept AIurlhttps://www.swept.aidescriptionTrust your AI with Swept AI's 9-Pillar framework for integrity, safety, and compliance. Real-time supervision, auditing, bias protection, and observability—enterprise-ready and health industry-savvy.logohttps://www.swept.ai/images/logos/swept-logo.svgsameAshttps://www.linkedin.com/company/swept-ai, https://twitter.com/sweptaicontactPointhttps://www.swept.ai/contactfoundingDate2024legalNameSwept AI, Inc.publisherhttps://www.swept.ai# Swept AI > Swept AI is the AI Trust Layer for the enterprise: evaluate AI agents before launch, supervise them continuously in production, and produce audit-ready proof of governance and compliance. Every page on this site is available as clean Markdown for agents: append `.md` to any URL (e.g. https://www.swept.ai/offering/overview.md) or send `Accept: text/markdown`. A fuller dump lives at https://www.swept.ai/llms-full.txt. ## Offering - [Overview](https://www.swept.ai/offering/overview): End-to-end evaluation, supervision, and governance for AI agents. - [Evaluation](https://www.swept.ai/offering/evaluation): Test and score AI agents against your bar before launch. - [Supervision](https://www.swept.ai/offering/supervision): Real-time supervision and guardrails that keep AI on spec in production. - [Governance & Certification](https://www.swept.ai/offering/governance-and-certification): Audit-ready proof that your AI meets governance and compliance requirements. - [Scoring Methodology](https://www.swept.ai/scoring-methodology): How Swept AI evaluates and scores agent performance. ## Solutions - [Enterprise](https://www.swept.ai/solutions/enterprise): Trust infrastructure for enterprise AI deployment. - [Financial Services](https://www.swept.ai/solutions/financial-services): Risk and compliance for AI in financial services. - [Healthcare](https://www.swept.ai/solutions/healthcare): Safe, compliant AI for healthcare. - [Insurance](https://www.swept.ai/solutions/insurance): AI governance and risk for insurers. - [Customer Experience](https://www.swept.ai/solutions/customer-experience): Govern AI customer service agents. - [Development Teams](https://www.swept.ai/solutions/development): Evaluation and supervision for teams building AI. - [Security Teams](https://www.swept.ai/solutions/security-teams): Adversarial testing and oversight for AI systems. ## Company - [Home](https://www.swept.ai/): The AI Trust Layer for the enterprise. - [About](https://www.swept.ai/about): Swept AI's mission, team, and approach. - [AI Manifesto](https://www.swept.ai/ai-manifesto): Our philosophy on trustworthy AI. - [The 9 Pillars of AI Trust and Safety](https://www.swept.ai/the-9-pillars-of-ai-trust-and-safety): The framework behind Swept AI. - [For AI Vendors](https://www.swept.ai/for-ai-vendors): Independent trust and safety verification for AI products. - [Contact](https://www.swept.ai/contact): Get in touch with Swept AI. ## Resources - [Blog](https://www.swept.ai/blog): Analysis on AI trust, safety, supervision, and compliance. - [Knowledge Base](https://www.swept.ai/knowledge-base): Reference explainers on AI governance, safety, evaluation, and monitoring. - [Content Hubs](https://www.swept.ai/hub): Pillar guides across AI governance, safety, evaluation, observability, and compliance. - [Case Studies](https://www.swept.ai/case-studies): How teams make their AI trustworthy with Swept AI. - [Changelog](https://www.swept.ai/changelog): Product updates from Swept AI.
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Added 7/19/2026