sales-skills/sales-commentions

Commentions Platform Help

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated platform knowledge.

Ask the user:

1. What do you need help with?

   • A) Setting up keywords and targeting for post discovery
   • B) Improving comment quality (too generic, too promotional)
   • C) Brand voice and tone configuration
   • D) Engagement analytics and click tracking
   • E) Account safety and compliance
   • F) Scaling volume (choosing the right plan)
   • G) Something else — describe it

2. Which plan are you on?

   • A) Free trial (240 mentions)
   • B) Starter ($59/mo — 20 mentions/day)
   • C) Growth ($99/mo — 80 mentions/day)
   • D) Dominate ($149/mo — 160 mentions/day)
   • E) Evaluating — haven't signed up yet

3. Which platforms are you targeting?

   • A) LinkedIn
   • B) X (Twitter)
   • C) YouTube
   • D) Quora
   • E) Multiple — which ones?

If the user's request already provides context, skip to Step 2.

Step 2 — Route or answer directly

• Multi-platform social listening strategy → /sales-social-listening [question]
• Reddit-specific reply automation → /sales-replyguy [question]
• Reddit managed posting with human writers → /sales-replymer [question]
• Reddit + Quora keyword monitoring with AI replies → /sales-threadradar [question]
• Multi-platform AI replies with auto-post → /sales-parsestream [question]
• LinkedIn signal intelligence and engagement → /sales-trigify [question]

Otherwise, answer directly from the platform reference below.

Step 3 — Commentions platform reference

Read references/platform-guide.md for the full platform reference — capabilities, pricing, workflow setup, platform coverage, analytics.

Answer the user's question using only the relevant section. Don't dump the full reference.

Step 4 — Actionable guidance

Focus on the user's specific situation:

1. Keyword strategy — start with 5-10 high-intent keywords per workflow; add niche terms, not broad ones
2. Comment quality — set detailed brand profiles with tone examples; avoid product-first language
3. Platform selection — LinkedIn for B2B/professional, YouTube for content-heavy niches, Quora for long-tail SEO, X for real-time conversations
4. Volume optimization — 20-50 mentions/day is often enough for solopreneurs; scale only after validating click-through
5. Safety — rely on Commentions' built-in pacing and variation; don't connect accounts used for manual engagement simultaneously

If you discover a gotcha or tip not covered in references/learnings.md, append it there.

Gotchas

Best-effort from research — review these, especially items about plan limits and platform coverage.

• No API, no webhooks, no Zapier. Commentions is UI-only. You cannot programmatically manage workflows, pull analytics, or integrate with other tools. All configuration is manual dashboard work.
• No Reddit support. Despite competing with ReplyGuy and similar tools, Commentions does not support Reddit. Use a dedicated Reddit tool if that's your primary channel.
• Volume is per-day, not rollover. Starter gets 20 mentions/day — unused daily quota doesn't carry over. Plan daily volume based on actual need.
• You don't approve comments before posting. The AI generates and posts autonomously. Set your brand voice carefully upfront — there's no approval queue.
• LinkedIn automation carries inherent risk. Commentions claims API-compliant posting and zero bans, but LinkedIn actively restricts automation. Monitor your account health.
• All plans have identical features. The only difference between tiers is daily mention volume. No feature gating.

Related skills

• /sales-social-listening — Social listening strategy across all platforms — tool comparison, monitoring setup, competitive intel, crisis detection
• /sales-replyguy — ReplyGuy — AI replies across Twitter, Reddit, LinkedIn with auto-reply
• /sales-parsestream — ParseStream — multi-platform keyword monitoring with AI reply drafts and auto-reply
• /sales-replymer — Replymer — managed Reddit/X reply marketing with human-written replies
• /sales-replyagent — ReplyAgent — Reddit marketing with managed account posting, AI comments
• /sales-threadradar — ThreadRadar — Reddit + Quora keyword monitoring with AI-drafted replies
• /sales-trigify — Trigify — LinkedIn signal intelligence with AI workflows
• /sales-devta — Devta — AI Networking Agent for proactive community engagement
• /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do

Examples

Example 1: Comments sound like ads

User says: "My Commentions comments keep leading with my product name — they look like spam" Skill does:

1. Reads platform guide for brand profile setup
2. Reviews the brand voice configuration — likely too product-focused
3. Suggests rewriting the brand profile to emphasize problems solved, not features; set tone to conversational/helpful
4. Recommends starting with value-first language and only subtly mentioning the brand Result: Comments lead with genuine help, brand mention feels natural

Example 2: Low click-through rate

User says: "I'm getting impressions but almost no clicks from my Commentions comments" Skill does:

1. Reads platform guide for analytics section
2. Checks keyword targeting — likely too broad, matching low-intent posts
3. Suggests narrowing keywords to problem-specific phrases where the user's product is a genuine answer
4. Recommends reviewing which platforms drive the best CTR and focusing volume there Result: Better keyword targeting with improved click-through rates

Example 3: Choosing between comment automation tools

User says: "Should I use Commentions or ReplyGuy for automated brand mentions?" Skill does:

1. Reads platform guide for positioning and comparison
2. Explains key differences: Commentions covers LinkedIn/X/YouTube/Quora with full auto-posting; ReplyGuy covers Twitter/Reddit/LinkedIn with semi-manual posting
3. Notes Commentions has no Reddit support; ReplyGuy has no YouTube/Quora
4. Recommends based on user's target platforms and automation comfort level Result: Clear comparison matched to user's specific platform needs

Troubleshooting

Comments not generating engagement

Symptom: Comments posted but getting no likes, replies, or clicks Cause: Keywords too broad, targeting low-relevance posts, or brand voice set too generically Solution: Review recent comments in the dashboard. Identify which keywords produced the lowest-engagement comments and either refine or remove them. Narrow targeting to high-engagement posts in your specific niche. Update your brand profile with more specific tone and topic guidance.

Worried about account restrictions

Symptom: Concerned about LinkedIn or X flagging the account for automated commenting Cause: Natural concern with any automation tool, especially on LinkedIn Solution: Commentions uses API-compliant posting with random delays and tone variation to avoid detection. Keep daily volume moderate (start with 20-30/day), don't run other automation tools on the same accounts simultaneously, and monitor account health regularly. If a platform sends a warning, pause automation immediately.

Comments appearing on irrelevant posts

Symptom: Brand mentions showing up in threads that have nothing to do with your niche Cause: Keywords are too generic or overlapping with unrelated topics Solution: Review the post discovery results in the dashboard. Add negative keywords for recurring off-topic matches. Use more specific multi-word keyword phrases instead of single broad terms. Consider platform-specific keyword strategies since the same keyword may match differently on LinkedIn vs YouTube.