Law Firm Web Design & Attorney Website Design | Lawyer Marketing: PaperStreet
AI Agentic Readiness
14 / 30
agentic checks passed 58% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
paperstreet.com is live and passes 14 of 30 agentic-readiness checks (58%). It runs on wordpress on cloudflare over HTTPS.
For AI agents, paperstreet.com's strongest signals are tidy, crawlable markup, fully indexable pages, a visually stable layout, and a clear canonical URL. Average 51% atomic sentences across 1 pages (target 40%+).
Its main gaps are text that is hard for agents to extract, no structured tables or lists, no self-contained answer passages, and no speakable schema for voice agents. An agent can read paperstreet.com's content but has little machine-readable way to discover it - closing the AI discovery gap would be the fastest lift.
Agent interaction
~Semantic HTML5 & AccessibilityMissing lang attribute on <html> tag
✓Clean, Crawlable HTMLPage has title and meta description
✗Extraction Friction ScoreFew pages have voice-friendly lead paragraphs
✓Indexability & Snippet EligibilityPages are indexable and snippet-eligible - the precondition for Google AI features is met
✓Layout Stability & ResponsivenessViewport is configured and media declares dimensions - static layout-stability signals look good
✓Canonical URL StrategySingle canonical tag present (no duplicates)
✗Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 51% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 37.6% across 1 pages (target >15%)
~Definition PatternsNo definition patterns in the first 2000 characters of content
✗Answer Capsule Pattern1/11 H2 sections have 15-30 word self-contained capsules (9%)
Structured data
✓Schema.org Structured DataAdvisory (not scored): local-business/product schema detected - Google AI responses also draw on Google Business Profiles and Merchant Center feeds, which are managed outside the website
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✓llms.txt FileNote: Google does not read llms.txt (its AI features rely on normal indexing); this signal serves other AI assistants and carries reduced weight
~robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✗Sitemap CompletenessNo sitemap.xml found
✗RSS/Atom FeedHomepage does not link to an RSS/Atom feed in <head>
✗Internationalization SignalsNo hreflang alternate links found
✗Content Licensing & AI PermissionsNo ai.txt file found
Trust & transparency
✓Entity Authority & E-E-A-TSocial media / sameAs references found on homepage
~Creator TransparencyVisible authorship is present on some content but inconsistent
~Methodology TransparencyLittle content-production or review transparency is visible
~AI Assistance DisclosureNo AI-assistance disclosure found on sampled pages (neutral - the engine cannot tell whether AI was used)
✗Visible Date SignalOnly machine-readable date signals were found; users still do not see a visible published or updated date
✓Title & Meta Quality1/1 titles are shorter than 10 or longer than 70 characters
✓Content Freshness SignalsReferences to 2026 or 2025 found across homepage, suggesting recent updates
✗Author & Expert SchemaNo Person schema found across homepage
Every check is a verifiable fact about paperstreet.com's live pages. Scoring follows Google Lighthouse agentic-browsing: a fraction of concrete checks, not an invented 0-100.
How to improve for AI agents
The highest-impact changes to make paperstreet.com more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present paperstreet.com's comparison and spec data as real HTML tables and lists agents can extract.
