184 AI Receptionists: The Selection Guide

📚 What's planned for this manual:

1. Part 1 — The AI Receptionist landscape in 2026: What's changed, what stayed the same, the new playing field.
2. Part 2 — Foundation patterns: The 5-7 baseline elements every SMB owners needs.
3. Part 3 — Technical infrastructure: Server-side, client-side, and analytics requirements.
4. Part 4 — Schema.org markup for AI Receptionist: The structured-data patterns that drive AI citation.
5. Part 5 — Content strategy: BLUF, question-led headings, voice-search ready writing.
6. Part 6 — Conversion infrastructure: Forms, CTAs, intake flows, follow-up sequences.
7. Part 7 — Measurement + analytics: What to track, what to ignore, the 5 KPIs that matter.
8. Part 8 — Compliance + accessibility: Legal, regulatory, ADA, and platform-policy considerations.
9. Part 9 — Scaling + automation: Templates, sequences, AI-assisted workflows.
10. Part 10 — Case studies + templates: 3-5 real client wins with before/after data + working templates you can adapt.
11. Appendix A — Glossary: Technical + plain-English definitions for every term in the book.
12. Appendix B — Resource directory: Tools, services, and AppWT companion products referenced throughout.