Engagement & Outreach Bots

The AI Comment bot handles two-way social engagement. It monitors comments on your posts and relevant conversations, then drafts thoughtful, on-brand replies.

What It Does

• Monitors comments on your published posts across all connected platforms
• Scans relevant conversations and threads in your niche
• Evaluates comment relevance and engagement potential
• Drafts context-aware replies matching your brand voice
• Queues all drafted replies for your review before posting

How Relevance Scoring Works

The Comment bot evaluates each potential engagement on a 1-5 relevance scale. Higher-scored interactions get prioritized. Factors include: topic match with your brand, engagement potential, audience alignment, and conversation quality.

The Auto DM bot manages direct message outreach and responses. It sends personalized messages to prospects, new followers, and engagement targets based on lead scoring signals.

Outreach Scenarios

• Welcome messages to new followers who match your target audience
• Follow-up messages to users who engaged with your content
• Personalized outreach to high-scoring leads identified by the Lead Scoring bot
• Re-engagement messages to inactive followers flagged by the Retention bot
• Response templates for common DM inquiries

Personalization

Each DM is personalized based on available context — the person's profile, their recent activity, how they've interacted with your brand, and their lead score. The bot avoids generic, spammy messages.

The Lead Scoring bot evaluates social interactions to identify and rank potential customers. It assigns scores based on engagement signals and feeds these into the outreach pipeline.

Scoring Factors

• Profile match — How well their profile matches your target customer persona
• Engagement frequency — How often they interact with your content
• Engagement quality — Depth of interaction (comments vs. likes, questions vs. emoji reactions)
• Intent signals — Keywords and behaviors that suggest purchase intent
• Social influence — Their follower count, engagement rate, and authority in your niche

Signal Output

When the Lead Scoring bot identifies a high-potential lead, it creates a signal that other bots can act on. The Auto DM bot might send a personalized outreach message, or the Follow-Up bot might add them to a nurture sequence.

The Influencer bot discovers relevant creators in your niche and manages outreach campaigns. It handles the discovery, vetting, and initial contact phases of influencer partnerships.

Discovery Process

1. Scans your niche for creators with aligned audiences and content styles
2. Evaluates creator metrics — follower count, engagement rate, content quality, audience demographics
3. Ranks potential partners by fit score and collaboration potential
4. Drafts personalized outreach messages for top candidates
5. Tracks outreach status and follow-up timing

All engagement bots are designed with a "human-in-the-loop" safety layer. This means every outgoing message, comment, or action passes through the review system before being published.

Review Queue

When engagement bots generate responses, they're added to your Review queue in the Review tab. Each pending item shows:

• The original context (what triggered the response)
• The AI-drafted response
• Which bot created it and why
• The relevance/confidence score

Your Options

• Approve — Accept the response for publishing
• Edit — Modify the response inline before approving
• Reject — Discard the response entirely
• Publish / Send / Schedule — Depending on the item type, directly publish, send, or schedule it
• Skip — Skip this item without approving or rejecting

Getting the most out of engagement bots requires some strategic thinking. Here are proven practices to maximize results while maintaining brand quality:

Do's

• Start with Conservative automation and gradually increase as you build trust in the bots' output
• Review DMs and comments daily during the first two weeks
• Provide specific engagement guidelines in your bot configuration (tone, topics to avoid, common responses)
• Use the Lead Scoring bot alongside the DM bot for targeted, high-quality outreach
• Monitor engagement metrics in the Overview > Analytics sub-tab to see what's working

Don'ts

• Don't set Aggressive automation from day one — let the bots learn your style first
• Don't ignore the Review queue — stale pending items create a backlog and delay your marketing
• Don't use generic engagement rules — specific instructions produce much better results
• Don't run all engagement bots simultaneously when starting out — add them one at a time
• Don't forget to set response timing constraints — too-fast replies can feel robotic