PandaChat is a multichannel AI assistant that handles chat, email and social (comments & DMs) and connects to live sources (site pages, CRM/ERP, product catalogs) so answers are contextual and up-to-date. Key capabilities include 24/7 webchat and social responses, email auto-replies, proactive CTAs/cards, booking/ordering workflows, multilingual support (95+ languages), and human handoffs/agent alerts (PandaIQ flags tricky questions). Knowledge base ingestion supports drag & drop files, URLs, product catalogs and FAQs. Integrations mentioned on the site include Shopify and WooCommerce native apps, a snippet install for WordPress/other CMS, CRMs and helpdesks (HubSpot, Salesforce, Zendesk, Freshdesk, Intercom) and Zapier. Analytics features include conversation logs, top questions, unanswered queries, engagement/conversion tracking and multi-store/brand dashboards. Implementation claims a 10–15 minute setup in many installs. Pricing summary: PandaChat uses a credit-based model with different credit types depending on the action (Ticket Credits and AI Ticket Credits where AI processing costs more; Comment Credits for social comments — example: 1 credit = 5 comments; Translation Credits — example cited per 10 translations). Plans are tiered (site examples: Basic, Priority, Custom/Enterprise). Yearly billing offers up to ~10% savings. Example monthly credit allotments shown on the pricing page include roughly 300 credits (entry example), ~1,500 credits (mid example) and ~2,500 credits (higher example). Additional credits can be purchased in bundles; an example price shown on the site is $15 per 100 credits. Higher tiers include dedicated 1:1 support, more channels and higher credit allotments. The site offers a 14-day free trial with full premium features and referenced a limited-time free plan preservation of data after trial. Contact/sales motion: The Contact page emphasizes scheduling a personalized 30-minute demo; sales fills out a form and provides a tailored simulation for your brand. The site invites direct sales conversations for plan selection and onboarding. Other site notes: PandaChat provides a WordPress plugin that supports booking meetings in chat, email notifications, multilingual conversation handling and analytics. The FAQ outlines typical business impact claims (ticket deflection up to ~80%, conversion lift 10–30%), recommended workflows, and post-trial data handling. A use-cases page returned 404 during the visit, though several customer success stories (e.g., Porsche, ImageFast) are accessible via other site links. Tooling/extraction note: An automated extractor attempt failed validation because some plan feature lists exceeded the extractor’s maximum allowed items. The raw pricing page lists more plan features per plan than the extractor allowed; this is an extractor limit, not a site error. Because of that, the pricing and credit structure above is summarized instead of provided as a fully-structured machine-readable table. Next steps offered: re-run extraction with relaxed validation, manually copy/paste the pricing table into a formatted table, or re-visit the pricing page and output the full plan text in plain text or CSV. The visitor offered to produce a cleaned CSV/JSON of all pages and captured fields, re-run structured extraction limited to top 8 features per plan, prepare a demo script/checklist for a specific use case, or fetch any missing specifics (exact per-plan included credits, full list of features per plan, enterprise SLA/seat limits, support response times, direct per-seat pricing if present).