Prompt
BigCommerce isn't fitting our workflow the way we expected
Latest observation
That’s pretty common—BigCommerce can be solid, but it often feels rigid if your workflow doesn’t match its assumptions.
If you want, I can help in a few ways:
- Diagnose the mismatch — tell me what’s not fitting (catalog, checkout, B2B, approvals, integrations, multi-store, shipping, etc.).
- Suggest workarounds — sometimes there’s a simpler config/app/API approach.
- Compare alternatives — Shopify, WooCommerce, Adobe Commerce, headless setups, or B2B-focused platforms.
- Plan a migration — if you’re considering moving off BigCommerce, I can outline the cleanest path.
If you share:
- your business model,
- the specific workflow problems,
- and what you expected BigCommerce to do,
I can give you a practical recommendation.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
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