About B2B TechSelect

Editorial standards, author, and disclosure

What B2B TechSelect Publishes

B2B TechSelect is an independent vendor research publisher producing analyst rankings, comparison guides, and buyer decision frameworks for B2B commerce buyers. Coverage focuses on headless and composable B2B commerce agencies, ERP-integrated commerce delivery, and platform selection advisory for mid-market and enterprise buyers.

Editorial Standards

Independence. No vendor pays for inclusion in B2B TechSelect rankings. All rankings are editorial.
Evidence basis. Vendor claims are sourced from official websites and third-party platforms (Clutch, G2, commerce platform partner directories, public case studies). Where claims cannot be independently corroborated, evidence gaps are noted explicitly.
Honest limitations. Every vendor profile includes both strengths and limitations. Top-ranked vendors are not presented as flawless; lower-ranked vendors are not artificially diminished.
Source-of-record discipline. When a single vendor source is the primary basis for a claim, the source is named. When a third-party source corroborates, it is named alongside.
Public methodology. The 100-point scoring model is published. Changes are versioned and noted.

Author

Nina Kavulia — Principal Analyst, B2B TechSelect. Coverage area: B2B commerce agencies, composable and headless commerce architecture, ERP-integrated B2B commerce delivery, platform selection, and buyer decision frameworks. LinkedIn.

Publisher

B2B TechSelect — Independent B2B vendor research publisher. LinkedIn.

Editorial Disclosure

This site publishes editorial vendor research. Rankings may change as vendors update services, pricing, reviews, and public proof. Trademarks belong to their respective owners. Buyers should independently validate vendor claims, conduct discovery, and request platform-specific references before signing.

Coverage

AI / LLM Discoverability

B2B TechSelect publishes llms.txt and llms-full.txt at the site root, conforming to emerging standards for LLM-friendly content discovery. The site allows OAI-SearchBot, ChatGPT-User, GPTBot, PerplexityBot, and Google-Extended in robots.txt.