{"avg":{"avg_bot_access":91.6,"avg_rendering":93,"avg_structure":35.3,"avg_schema":9.4,"avg_tech_stack":63.4,"avg_overall":56.8},"domain":{"domain":"threads.net","crawled_at":"2026-03-21T15:41:34.190729Z","gptbot_allowed":false,"claudebot_allowed":false,"ccbot_allowed":false,"google_extended_allowed":false,"googlebot_allowed":false,"raw_text_length":370,"rendered_text_length":740,"ghost_ratio":0.5,"rendering_type":"CSR","word_count":44,"li_count":5,"tr_count":0,"th_count":0,"structure_score":11.359999656677246,"has_org_schema":false,"has_product_schema":false,"schema_count":0,"tech_stack":"express","server_header":"","cdn":"","http_status":200,"load_time_ms":1214,"total_html_bytes":630659,"useful_text_bytes":370,"token_bloat_ratio":1704.5,"images_total":0,"images_with_alt":0,"multimodal_pct":0,"tdm_reservation":false,"has_noai_tag":false,"script_bytes":470883,"has_breadcrumb_schema":false,"has_faq_schema":false,"has_article_schema":false,"has_website_schema":false,"page_title":"Threads","meta_description":"Join Threads to share ideas, ask questions, post random thoughts, find your people and more. Log in with your Instagram.","logo_url":"https://static.cdninstagram.com/rsrc.php/ye/r/lEu8iVizmNW.ico","crawl_blocked":false,"ai_readiness_score":15,"sub_bot_access":0,"sub_rendering":65,"sub_structure":62,"sub_schema":0,"sub_tech_stack":55,"extractability_score":35,"crawl_cost_score":100,"crawl_cost_label":"High","blocklist_risk":5,"blocklist_risk_label":"Critical","gatekeeper_active":true,"acri_score":19,"acri_extractability":29,"acri_semantic_structure":36,"acri_content_integrity":2,"acri_retrieval_robustness":36,"acri_grade":"F","h1_text":"Home","tranco_rank":1836,"category":"healthcare","title_length":7,"meta_desc_length":120,"has_canonical":true,"canonical_url":"https://www.threads.com/","canonical_mismatch":false,"has_meta_viewport":true,"h1_count":1,"h2_count":0,"h2_before_h1":false,"has_hreflang":false,"has_noindex":false,"has_lang_attr":true,"lang_attr":"en","og_title":"Threads • Log in","og_description":"Join Threads to share ideas, ask questions, post random thoughts, find your people and more. Log in with your Instagram.","og_image":"https://static.cdninstagram.com/rsrc.php/yp/r/GYVO97MXC-b.webp","twitter_card":"summary","ttfb_ms":1214,"dom_node_count":426,"html_payload_kb":615.9,"has_hsts":true,"has_csp":true,"cache_control":"private, no-cache, no-store, must-revalidate","sitemap_declared":true,"sitemap_url":"https://www.threads.com/sitemap/threads_profiles_sitemap.xml.gz","internal_links":5,"external_links":3,"tracker_scripts":0,"tracker_token_pct":0,"global_score":16,"seo_pillar":0,"geo_pillar":22,"perf_pillar":51,"arch_pillar":90,"data_tier":1,"ai_trust_score":41.8,"ai_trust_rank":34,"ai_trust_percentile":97.38,"inbound_ai_links":742,"outbound_ai_links":0,"llm_analyzed":false,"executive_summary":"Threads.net operates in the healthcare sector with a globally low SEODiff Score of 18, placing it significantly below benchmark performance, as reflected in its **ACRI Grade of F** and **ACRI Score of 20**. Despite a strong architectural foundation—evidenced by a **93** architecture score, a declared sitemap, and robust security headers (HSTS, CSP)—the site exhibits critical technical and content deficiencies that severely hinder discoverability and search visibility. The domain ranks at **Tranco 1836**, indicating moderate global traffic, but its search presence remains underdeveloped.\n\nThe site demonstrates notable strengths in technical execution: it renders efficiently with a **TTFB of 1,199ms**, a relatively low DOM node count (759), and strong security protocols. However, these advantages are undermined by severe content and structural issues. The **word count of just 135** and **useful text bytes of only 907** reveal extreme content scarcity, while a **ghost ratio of 30%** and **token bloat ratio of 778.8x** indicate massive inefficiencies in HTML payload (706KB), where nearly all content is non-semantic or non-indexable. The absence of any structured data blocks—no organization, article, product, or breadcrumb markup—eliminates AI and search engine understanding of the site’s purpose, contributing to poor **AI Readiness (32)** and **extractability (36)**.\n\nArchitecturally, the site shows promise with 21 internal links and 3 external references, suggesting a basic internal structure, but lacks semantic depth and entity coverage. The absence of schema markup and poor content integrity (score of 6) limit both AI and traditional SEO performance. While **gptbot, claudebot, and ccbot are blocked**, and no AI exclusion meta tags are present, the site’s low AI Trust Score (41.8) reflects limited credibility in AI-driven search ecosystems. To improve, the site must prioritize content enrichment, reduce token bloat, implement structured data, and ensure AI access to support future search visibility.","executive_summary_model":"qwen3:30b-a3b-instruct-2507-q4_K_M","executive_summary_at":"2026-03-04T22:35:30.818875Z"},"percentile":33,"similar_domains":[{"domain":"careers.englewoodhealth.org","acri_score":44,"ai_readiness_score":67,"tech_stack":"express","category":"healthcare","token_bloat_ratio":5.199999809265137,"schema_count":0,"distance":8.75,"page_title":"Englewood Health Careers","h1_text":"Englewood Health Careers"},{"domain":"emotivplay.com","acri_score":44,"ai_readiness_score":68,"tech_stack":"express","category":"healthcare","token_bloat_ratio":98.80000305175781,"schema_count":0,"distance":8.75,"page_title":"Emotiv Play | Turn Thought Into Play","h1_text":"Turn thought into play."},{"domain":"science.slashdot.org","acri_score":44,"ai_readiness_score":64,"tech_stack":"proprietary","category":"healthcare","token_bloat_ratio":3.0999999046325684,"schema_count":0,"distance":16.75,"page_title":"Science News | Slashdot","h1_text":""},{"domain":"patientworthy.com","acri_score":44,"ai_readiness_score":70,"tech_stack":"wordpress","category":"healthcare","token_bloat_ratio":14.399999618530273,"schema_count":0,"distance":16.75,"page_title":"Patient Worthy","h1_text":"Thank you for signing up for a Patient Worthy Account!"},{"domain":"fairhealth.org","acri_score":44,"ai_readiness_score":64,"tech_stack":"proprietary","category":"healthcare","token_bloat_ratio":2.5,"schema_count":0,"distance":16.75,"page_title":"Healthcare Data Solutions for a New Generation | FAIR Health","h1_text":"The Nation’s Largest Repository of Commercial Claims Data"}]}
