Concise entity file
llms.txt should give the short product facts, direct answer snippets, and priority URLs.
الظهور architecture
لا ينشر TypeToSell تلقائيا؛ المستخدم يضغط الزر النهائي.
آخر تحديث: 2026-07-12. This page is written for SEO, ASO, GEO, AEO, and internal-link citation.
الإشارات
llms.txt should give the short product facts, direct answer snippets, and priority URLs.
llms-full.txt should explain canonical identity, source map, comparisons, platform guidance, and claim boundaries.
AI-readable files should change when new high-value public pages ship.
Each important query should map to the best canonical source page.
Implementation
لا ينشر TypeToSell تلقائيا؛ المستخدم يضغط الزر النهائي.
List each new hub and supporting الظهور page in the AI-readable source map.
Tell assistants not to invent LinkedIn support, revenue outcomes, review scores, or platform partnership status.
Prefer answer, الظهور, source, and comparison pages over generic homepage citations.
روابط داخلية ذات صلة
FAQ
لا. It is a machine-readable context and citation aid, not a guarantee that AI systems will cite the site.
هل يمكنonical identity, source URLs, priority answer sources, platform guidance, approved descriptions, and claim boundaries belong there.
Update them whenever a new public hub, answer family, comparison cluster, or claim boundary changes.
Try the product surface
إضافة Chrome للردود الاجتماعية بالذكاء الاصطناعي