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How to Use Comment Generator for Anti-spam commenting rules
Learn Comment Generator anti-spam commenting rules with step by step workflows, realistic examples, and verified plan notes.
Comment Generator works well for anti-spam commenting rules when you run it like production work: locked brief, SOURCE facts, then review before publish. Comment Generator is a human-in-the-loop Chrome extension that drafts LinkedIn, Instagram, and Threads comments from post captions. It does not auto-post or require social login credentials. Human review required; 7-day free trial noted on the official site. Start at /explore/comment-generator.
This guide focuses on anti-spam commenting rules in detail. Related Comment Generator articles: /blog/how-to-use-comment-generator-for-free-trial-evaluation, /blog/how-to-use-comment-generator-for-caption-to-comment-workflows, /blog/how-to-use-comment-generator-for-linkedin-comment-drafts.
When this workflow is the right job
Use anti-spam commenting rules when the deliverable is specifically this Comment Generator job. Switch to linkedin comment drafts when that workflow already owns the asset.
Step by step workflow
1. Brief Anti-spam commenting rules
Write what must stay true for anti-spam commenting rules in Comment Generator before settings or spend.
Brief: Anti-spam commenting rules Keep: verified SOURCE facts only Avoid: invented pricing or features Success: one reviewable output
2. Open Comment Generator for Anti-spam commenting rules
Use the Comment Generator surface that owns anti-spam commenting rules. Do not mix a neighboring workflow in the same pass.
Surface: Anti-spam commenting rules Start: pilot with one representative input Plans: comment-generator.com
3. Pilot Anti-spam commenting rules
Run a single anti-spam commenting rules pilot. Score clarity, grounding, and whether the output is reviewable.
Pilot: Anti-spam commenting rules [ ] SOURCE facts match [ ] Output reviewable [ ] Settings logged
4. Refine Anti-spam commenting rules
Change one anti-spam commenting rules dimension only. Save a template from the best run.
Refine: Anti-spam commenting rules Change: one control only Keep: SOURCE and success criteria
Practical anti-spam commenting rules examples
Workspace credit check
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Workspace credit check" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Workspace credit check" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Workspace credit check - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Workspace credit check → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Workspace credit check with facts traceable to SOURCE and an approval checkbox.
Carousel slide 1
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Carousel slide 1" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Carousel slide 1" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Carousel slide 1 - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Carousel slide 1 → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Carousel slide 1 with facts traceable to SOURCE and an approval checkbox.
Hashtag set review
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Hashtag set review" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Hashtag set review" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Hashtag set review - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Hashtag set review → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Hashtag set review with facts traceable to SOURCE and an approval checkbox.
CTA webinar line
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "CTA webinar line" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "CTA webinar line" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for CTA webinar line - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around CTA webinar line → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for CTA webinar line with facts traceable to SOURCE and an approval checkbox.
Tone A/B variant
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Tone A/B variant" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Tone A/B variant" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Tone A/B variant - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Tone A/B variant → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Tone A/B variant with facts traceable to SOURCE and an approval checkbox.
Agency client pack
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Agency client pack" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Agency client pack" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Agency client pack - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Agency client pack → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Agency client pack with facts traceable to SOURCE and an approval checkbox.
Scheduler batch
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Scheduler batch" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Scheduler batch" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Scheduler batch - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Scheduler batch → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Scheduler batch with facts traceable to SOURCE and an approval checkbox.
Crisis reply draft
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Crisis reply draft" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Crisis reply draft" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Crisis reply draft - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Crisis reply draft → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Crisis reply draft with facts traceable to SOURCE and an approval checkbox.
Employee spotlight
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Employee spotlight" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Employee spotlight" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Employee spotlight - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Employee spotlight → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Employee spotlight with facts traceable to SOURCE and an approval checkbox.
Product teaser
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Product teaser" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Product teaser" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Product teaser - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Product teaser → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Product teaser with facts traceable to SOURCE and an approval checkbox.
Event reminder
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Event reminder" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Event reminder" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Event reminder - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Event reminder → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Event reminder with facts traceable to SOURCE and an approval checkbox.
UGC reshare note
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "UGC reshare note" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "UGC reshare note" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for UGC reshare note - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around UGC reshare note → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for UGC reshare note with facts traceable to SOURCE and an approval checkbox.
Thread starter
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Thread starter" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Thread starter" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Thread starter - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Thread starter → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Thread starter with facts traceable to SOURCE and an approval checkbox.
Story frame brief
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Story frame brief" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Story frame brief" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Story frame brief - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Story frame brief → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Story frame brief with facts traceable to SOURCE and an approval checkbox.
Newsletter teaser
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Newsletter teaser" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Newsletter teaser" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Newsletter teaser - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Newsletter teaser → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Newsletter teaser with facts traceable to SOURCE and an approval checkbox.
Cross-post checklist
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Cross-post checklist" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Cross-post checklist" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Cross-post checklist - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Cross-post checklist → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Cross-post checklist with facts traceable to SOURCE and an approval checkbox.
LinkedIn launch post
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "LinkedIn launch post" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "LinkedIn launch post" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for LinkedIn launch post - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around LinkedIn launch post → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for LinkedIn launch post with facts traceable to SOURCE and an approval checkbox.
Instagram caption
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Instagram caption" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Instagram caption" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Instagram caption - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Instagram caption → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Instagram caption with facts traceable to SOURCE and an approval checkbox.
Approval queue item
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Approval queue item" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Approval queue item" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Approval queue item - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Approval queue item → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Approval queue item with facts traceable to SOURCE and an approval checkbox.
Inbox pricing reply
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Inbox pricing reply" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Inbox pricing reply" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Inbox pricing reply - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Inbox pricing reply → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Inbox pricing reply with facts traceable to SOURCE and an approval checkbox.
Brand color image
Scenario: An agency operator needs Comment Generator for Anti-spam commenting rules focused on "Brand color image" for a client campaign week. Objective: Produce a reviewable Anti-spam commenting rules asset where "Brand color image" is explicit, on-brand, and ready for approval. Inputs: - Platform and audience for Brand color image - Brand voice + SOURCE facts only - CTA and forbidden claims - Whether image generation is needed from the shared credit pool Workflow: Open Comment Generator → Draft Anti-spam commenting rules around Brand color image → Optional image → Internal approval → Schedule/publish Requirements: - Stay within verified Comment Generator capabilities; do not invent features. - Confirm live plan notes on comment-generator.com before promising volume. - Change one variable between iterations. - Human-review before external publish, send, billing, or clinical/legal use. Expected output: A paste-ready Anti-spam commenting rules draft (and optional image brief) for Brand color image with facts traceable to SOURCE and an approval checkbox.
How to improve anti-spam commenting rules
Cut noise from anti-spam commenting rules by removing extra adjectives while preserving SOURCE facts in Comment Generator.
Raise quality by insisting on a single success check before debating style.
Make review easier by labeling fields that must never change.
Speed iteration by cloning the last good run and altering only one control.
Stabilize outputs by pinning settings after the pilot is approved.
Reduce rework by rejecting drafts that invent claims.
Improve handoffs by recording which control produced the best result.
Harden the workflow by testing an incomplete input before trusting defaults.
Prompting and usage guidance
Name the anti-spam commenting rules job, audience, and success check before opening Comment Generator.
Paste only verified facts under SOURCE so Comment Generator cannot invent details.
Specify the deliverable shape up front.
Call out fixed details versus flexible style choices.
Ask Comment Generator to flag unsupported claims before you accept the draft.
Limitations to respect
Check Comment Generator plan gates for anti-spam commenting rules on comment-generator.com before you promise timelines.
Keep drafts unpublished until a human confirms SOURCE facts.
Comment Generator can be wrong. Treat anti-spam commenting rules as provisional until review.
If documentation is silent on a claim, leave it out rather than guessing.
Practical tips for this workflow
Pilot once before batching anti-spam commenting rules in Comment Generator.
Keep a reusable template with variables for anti-spam commenting rules.
Separate creative instructions from SOURCE facts.
Log settings from the best run.
Common mistakes
- Skipping the pilot run before scaling volume
- Inventing pricing, quotas, or features not on official pages
- Mixing unrelated workflows in one session
- Publishing without a human review gate
Treat anti-spam commenting rules in Comment Generator as a production workflow: brief, pilot, refine, then ship with review. Related reading: /blog/how-to-use-comment-generator-for-free-trial-evaluation, /blog/how-to-use-comment-generator-for-caption-to-comment-workflows, /blog/how-to-use-comment-generator-for-linkedin-comment-drafts.