/brand-moderator/ai-researcherAI Researcher
A conversational research agent that runs structured investigations across 30+ external sources on demand. Instead of briefing an agency for a competitive deep-dive or a brand-health read. You pick a template, ask, and get back a deep, sourced answer in minutes, structured as metric cards, channel breakdowns, tables, insights, and citations.
What this does for you: A research agent that runs structured investigations across 30+ external sources on demand. Instead of briefing an agency for a competitive deep-dive. You pick a template, ask, and get a deep, sourced answer in minutes. It sits inside Brand Moderator because a spike or a crisis detected in social listening hands straight off into a research run.
Key insights you'll see:
- Eight prebuilt research templates: Competitive Benchmarking, Brand Health Monitor, Crisis & Issue Deep Dive, Campaign Impact, Audience & Demographics, Emerging Trends, Channel Performance, Regional Analysis
- Answers come back as structured blocks, narrative text, metric cards (with deltas and sparklines), channel bars, comparison tables, ranked insights, and a sources list you can verify
- A History tab of prior runs so you can revisit findings without re-running
- Conversational follow-ups, drill into any answer the way you would with an analyst
Why it matters: This is what moves us from "AI production tool" to "creative and brand intelligence partner", the exact ask from Piramal and Signode. A category-specific creative strategy, a competitor teardown, or a quarterly brand-health monitor that used to be an agency project is now a self-serve run, and the target is ≥60% of these handled without a human analyst.
When to come here: Before a strategy offsite. After a competitor makes a move and you need a fast read. Quarterly brand-health monitor. When a listening spike needs a crisis-comms deep dive.
The click-path, step by step
1Ask a research question 
2Templates and history 
- Action HistoryThe auditable log of every moderation action, which reply was approved or rejected, by which moderator, when, and what the AI originally drafted. This is the accountability and compliance trail enterprise and BFSI clients require before they'll let any AI near their social channels.
- Agent PlaybookThe brand-voice foundation the moderation agent drafts from, tone, canonical response templates, do/don't language, and version history. When a reply gets rejected, the fix goes here, and every future draft improves. This is what keeps replies consistent across thousands of comments and multiple moderators.
- Review QueueThe single inbox for everything said about your brand, comments, DMs, and reviews across Facebook, Instagram, Twitter, and LinkedIn. Zocket drafts a reply for each one grounded in your Agent Playbook, and a human approves and sends. The non-negotiable guardrail: nothing is ever auto-posted, every reply passes through an approval confirm before it goes live.
- Rules EngineConditional routing logic for the moderation queue. Define what happens to each kind of message, which categories can be auto-drafted, which must be escalated to a ticket, which must never be answered without a human. This is how a client's escalation matrix becomes enforced behaviour instead of a doc nobody reads.