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CMS / Web

BigCommerce AI Integration

Connect BigCommerce to BeforeQuery for grounded AI answers and agent actions across CMS / Web.

Connect BigCommerce
What is it?

About BigCommerce

BigCommerce is one of the CMS / Web platforms BeforeQuery connects to. Once linked, the platform's data becomes a first-class source for grounded AI answers and a target for policy-gated agent actions — the same identity, approval, and audit-log guarantees every other integration ships with.

Setup

How to connect BigCommerce

  1. Step 01

    In the BeforeQuery dashboard, go to Integrations → CMS / Web and select BigCommerce.

  2. Step 02

    Sign in to BigCommerce with an account that has permissions to grant BeforeQuery the CMS / Web scopes required.

  3. Step 03

    Confirm the connection. BigCommerce is now available as a source and action target for every playbook in your workspace.

Explore

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How BeforeQuery uses BigCommerce

What the agent does with your BigCommerce connection

  • 01

    Index BigCommerce content — pages, articles, blog posts — into the Knowledge Base for grounded AI answers.

  • 02

    Auto-sync on BigCommerce publish events so answers reflect live content.

  • 03

    Draft new content grounded in your brand voice + existing style patterns.

  • 04

    Answer content-ops questions ("when was the pricing page last updated?", "which pages haven't been touched in 6 months?").

Use cases

What teams actually do with the BigCommerce integration

Public-facing Q&A widget

The BeforeQuery widget on your site answers visitor questions grounded in your published BigCommerce content. Cited sources are one click away. Reduces contact-us volume 30-60% for the top-asked questions.

Content freshness monitoring

BeforeQuery flags BigCommerce pages that answer FAQs but haven't been updated in > 6 months, that contradict other pages, or that get high traffic + low conversion. Content team gets a prioritized freshness backlog.

Draft new pages from prior top-performers

Content marketer asks for a new landing-page draft on a topic; BeforeQuery pulls patterns from your top-performing BigCommerce pages, drafts the new one in your brand voice. Human edits, publishes.

Answer questions grounded in BigCommerce

Employees and customers ask BigCommerce-related questions in Slack, Teams, or the widget — BeforeQuery answers with the exact BigCommerce record shown alongside the response. No context switching, no "log into CMS / Web to check" round-trips.

BigCommerce — Frequently Asked Questions

Common questions about connecting BeforeQuery to BigCommerce.

Only if explicitly configured to. Default is published content only. Draft indexing is available on Enterprise, useful for reviewer-facing internal AI answers about work-in-progress content.
Standard OAuth 2.0 where BigCommerce supports it, otherwise API-key or bearer-token auth. Credentials are stored encrypted at rest (AES-256-GCM) per workspace, never shared across customers, and rotated on request. The connection is scoped to the least-privilege set of scopes each playbook needs — you approve the scope list on install.
No. Your BigCommerce data feeds only your workspace's own agents and answers. Nothing is used to train a shared model, and nothing crosses workspace boundaries. Bring-your-own-model is available on Enterprise if you want to pin inference to your own OpenAI / Anthropic / self-hosted deployment.
Yes. Every BigCommerce integration is scoped at install time — you pick which resources, users, or record types are visible. You can further restrict per-playbook: a single playbook only touches the specific BigCommerce objects it needs. Scope changes take effect on the next sync.
Every write is logged with the acting user, the playbook that fired it, the exact operation, the target entity IDs, and the timestamp — all in the immutable audit log. Writes are rehearsable in simulation mode against a copy of live data before they touch BigCommerce for real.

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