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abbae.com
Making Buildings Perform Better | Allana Buick & Bers, Inc. (ABB)
AI Agentic Readiness
9 / 30
agentic checks passed 50% readiness - how well this site can be read, trusted and transacted with by AI agents
Last checked
abbae.com is live and passes 9 of 30 agentic-readiness checks (50%). It runs on site on cloudflare over HTTPS.
For AI agents, abbae.com's strongest signals are tidy, crawlable markup, fully indexable pages, a clear canonical URL, and dense, entity-rich content. Average entity density 65.8% across 1 pages (target >15%).
Its main gaps are thin semantic structure, text that is hard for agents to extract, render-blocking resources, and few clear definitions. An agent can read abbae.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 & AccessibilityOnly 73% of images have alt text
✓Clean, Crawlable HTMLPage has title and meta description
✗Extraction Friction ScoreAverage sentence length: 31.3 words - slightly long
✓Indexability & Snippet EligibilityPages are indexable and snippet-eligible - the precondition for Google AI features is met
~Layout Stability & Responsiveness7/11 images lack explicit width/height - the most common cause of layout shift (CLS)
✓Canonical URL StrategySingle canonical tag present (no duplicates)
~Page Speed: Page SizeApproximately 1491 DOM nodes - consider simplifying
✗Page Speed: Load Blockers13 render-blocking script(s) in <head>
Machine extraction
~Table & List ExtractabilityNo HTML tables found across homepage
~Sentence AtomicityAverage 36% atomic sentences across 1 pages (target 40%+)
✓Entity DensityAverage entity density 65.8% across 1 pages (target >15%)
✗Definition PatternsNo definition patterns found
✗Answer Capsule Pattern1/6 H2 sections have 15-30 word self-contained capsules (17%)
Structured data
✓Schema.org Structured DataOrganization or LocalBusiness schema found on homepage
✗Speakable SchemaNo SpeakableSpecification schema found across homepage
AI discovery
✗llms.txt FileNo llms.txt file found at https://abbae.com/llms.txt (connection failed)
~robots.txt for AI CrawlersNo explicit AI crawler rules in robots.txt
✓Sitemap Completeness569 URLs have lastmod dates
✗RSS/Atom FeedRSS/Atom feed link tag found in homepage <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 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 abbae.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 abbae.com more agent-ready, in priority order.
1 Add structured tables and lists high impactlow effort
Present abbae.com's comparison and spec data as real HTML tables and lists agents can extract.
