Step 1
Finalize the provider setup first
Confirm the AI provider and writing behavior before turning on a customer-facing chat experience.
Product documentation
WordAI Pro AI Agent And Chat
Understand selected-content embedding, front-end AI chat behavior, assistant knowledge flow, and rollout guidance for WordAI Pro.
Frontend feature
Assistant chat experience
Knowledge layer
Selected content embeddings
Operational fit
Pre-sales, help, internal guidance
Content scope
Posts, pages, products, CPTs
Setup Flow
Start clean and keep delivery predictable.
Step 2
Select the content sources
Choose the exact posts, pages, products, or custom content entries that should become assistant knowledge.
Step 3
Configure chat behavior
Set the assistant style, response behavior, and practical limits before exposing it to real visitors.
Step 4
Embed and review the knowledge context
Index the selected content so the assistant has a grounded response scope before visitors ask questions.
Step 5
Monitor and refine
Review early responses and adjust prompts, provider choice, or scope before scaling usage.
Feature Map
Feature guidance customers can use before checkout or launch.
Chat setup
The assistant experience should feel helpful, not noisy or overconfident.
- Use a clear assistant role so the answers stay within your product or support context.
- Keep the assistant scope narrow during the first rollout.
- Check the frontend behavior on desktop and mobile before publishing widely.
Knowledge and embeddings
Better grounding leads to better chat responses.
- Choose specific posts, pages, products, or custom content items instead of embedding the entire site by default.
- Use indexed content and embedding models to keep answers closer to your actual support and product material.
- Refresh the indexed scope when the product docs or support policy changes.
- Avoid letting the assistant operate outside the topics it can answer reliably.
Support and rollout guidance
Customer-facing AI needs a support plan behind it.
- Start with limited usage and increase the assistant footprint only after responses stay consistent.
- Keep a visible support fallback for cases the assistant cannot answer well.
- Review diagnostics whenever response quality drops unexpectedly.
AI assistant rollout
The AI assistant in WordAI Pro is best introduced after the writing, SEO, and content selection workflows are already stable. That keeps support, moderation, and response expectations easier to manage.
FAQ
Short answers for pre-sales and setup decisions.
Should I launch the AI assistant before configuring the writing workflow?
No. It is safer to stabilize provider settings and core content behavior first.
Can I choose exactly which content the assistant uses?
Yes. WordAI Pro can embed selected posts, pages, products, or custom post type items as the knowledge source for the front-end assistant.
Can the assistant help with product or support questions?
Yes. It is suited to guided help and support-style interactions when the knowledge scope is set well.
Need more help?
Use these docs to evaluate the product fit, then reach support if you want help deciding between plan sizes, release access, or licensing questions.