How does Comments AI work in practice?
Comments AI works as a chain of four small steps that fire on a trigger instead of on someone's attention: choose triggers, craft replies, connect platforms, then launch and refine. Triggers come first. Keywords and intents are picked from real comment history, usually price, stock, delivery, booking, location and the current campaign hashtag. Intelligent keyword recognition is what keeps the reply accurate instead of generic.
Replies come next. Short on-brand templates are written for each intent, carrying a link and a clear next step, and approved before anything goes live. Social accounts and tracking are then connected, and the comment stream is watched continuously. Matched comments get a public answer plus an optional direct message. Unmatched, sensitive or angry comments go to a human queue instead of being guessed at. We assemble the steps with n8n or Make.com, with language handled by OpenAI, Anthropic Claude or Google Gemini.
What does Comments AI replace?
Comments AI replaces the manual comment shift: scrolling every post at the end of the day, typing the same delivery answer for the fourth time, copying a price into a direct message, and losing a buying comment under a pile of emoji. None of that is marketing. All of it costs the team hours and costs the brand replies.
Comments left overnight, over a weekend or during a promo spike are answered instead of sitting unread until someone has a gap. Repeat questions get one consistent, approved answer instead of five different versions from five people. Buying signals are captured as leads with the post, the platform and the wording attached, so the sales follow-up has context. Community comments get acknowledged, which is what keeps a thread alive. We do not promise specific numbers. We audit the real comment history first, then show which replies can be automated safely and which stay human.
Does Comments AI work with our existing tools?
Comments AI is built into the accounts and systems a brand already runs, not sold as a replacement for them. Integration is the core of the work. We connect Facebook and Instagram through the Meta Graph API, plus TikTok, YouTube and LinkedIn pages, so cross-platform comment management happens in one place instead of five apps.
Direct messaging runs over WhatsApp Business Cloud API or Twilio, and lead records land in HubSpot or GoHighLevel with the source post attached. Product, price and stock answers can read from Shopify or WooCommerce so a reply is never out of date. The systems the brand already trusts stay the source of truth. Data that needs its own home lands in Supabase or PostgreSQL, and everything runs behind Cloudflare. If a platform has an API, Comments AI can usually talk to it. If it does not, we will say so before any build starts rather than after.
Is Comments AI POPIA compliant, and who approves the replies?
Comments AI built by us is POPIA-aware from the first design session, because a comment thread is a public record and a direct message is personal data. Reply templates are drafted, reviewed and approved by the brand before a single one can send. A banned claims list keeps automated wording inside the boundary the brand sets, so no reply promises something the business cannot deliver.
Consent is captured explicitly when a conversation moves from a public comment into direct messages, with the source and time stamp recorded, and opt-out wording stays clear. Complaints, medical questions, legal questions and abuse are routed to a person, never answered automatically. Every reply is logged for audit, retention windows delete records on time, access controls limit who can open a conversation, and data is encrypted in transit and at rest. Human edits are preserved, so ownership of the brand voice stays with the brand.
How does a business start with Comments AI?
Starting with Comments AI is a conversation, not a contract. Pick one outcome first: response time on comments, direct message volume, or leads captured from social posts. Define what success looks like and where the guardrails sit. That conversation costs nothing and usually takes under an hour.
Next we export recent comment history and group the questions that repeat, because the real wording customers use beats any guess about it. Reply templates are drafted for the clear intents, escalation rules are set for anything sensitive, and social accounts, tracking and the CRM are connected. The pilot runs two to four weeks on one platform and one campaign, then winning replies are promoted, weak ones are rewritten, and more platforms come on. The brand owns everything we build: workflows, prompts and data. We have worked this way with 35+ companies across South Africa.
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Send one message describing which posts pull comments the team cannot keep up with, whether that is price questions, stock questions, promo replies or complaints. We reply with an honest read on what Comments AI can fix and what it will take.