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att.net
Currently.com - AT&T Yahoo Email, News, Sports & More
AI Agentic Readiness
8 / 28
agentic checks passed 39% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
att.net is live and passes 8 of 28 agentic-readiness checks (39%). It runs on ATS over HTTPS.
For AI agents, att.net's strongest signals are tidy, crawlable markup, fully indexable pages, a visually stable layout, and a clear canonical URL. Average 43% atomic sentences across 1 pages (target 40%+).
Its main gaps are text that is hard for agents to extract, a heavy page, no structured tables or lists, and no self-contained answer passages. The weakest area is Structured data; addressing it first would raise this score the most.
Agent interaction
~Semantic HTML5 & AccessibilityOnly 1% of images have alt text
✓Clean, Crawlable HTMLPage has title and meta description
✗Extraction Friction ScoreAverage sentence length: 46.8 words - too long for AI snippets
✓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)
✗Page Speed: Page SizeHomepage HTML is 1000KB
~Page Speed: Load Blockers9 blocking stylesheets in <head>
Machine extraction
✗Table & List ExtractabilityNo HTML tables found across homepage
✓Sentence AtomicityAverage 43% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 43.7% across 1 pages (target >15%)
~Definition PatternsNo definition patterns in the first 2000 characters of content
✗Answer Capsule Pattern0/2 H2 sections have 15-30 word self-contained capsules (0%)
Structured data
✗Schema.org Structured DataNo JSON-LD structured data found across homepage
✗Speakable SchemaNo JSON-LD found across homepage - cannot assess speakable schema
AI discovery
✗llms.txt FileNo llms.txt file found at https://att.net/llms.txt (connection failed)
✗robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✗Sitemap CompletenessNo sitemap.xml found
?RSS/Atom FeedNot assessed
✗Internationalization SignalsNo hreflang alternate links found
?Content Licensing & AI PermissionsNot assessed
Trust & transparency
✓Entity Authority & E-E-A-TSocial media / sameAs references found on homepage
✗Creator TransparencyCreator visibility is weak on content-like pages
~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 SignalNo visible date signals found across homepage (no <time> elements, no JSON-LD dates, no article meta dates)
✓Title & Meta QualityTitles are present, unique, and well-sized, and pages carry meta descriptions
✗Content Freshness SignalsNo JSON-LD date properties (datePublished/dateModified) found across homepage
✗Author & Expert SchemaNo Person schema found across homepage
Every check is a verifiable fact about att.net'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 att.net more agent-ready, in priority order.
1 Add structured tables and lists critical impactmedium effort
Present att.net's comparison and spec data as real HTML tables and lists agents can extract.
