Best for
- B2B teams that need better social ideas without cloning creators
- Marketers studying category conversation before building a content plan
- Founder-led brands that want format inspiration while keeping an original voice
Collect a bounded sample of public X posts from relevant operators, code the structures and topics that recur, and turn the patterns into original content hypotheses without copying hooks, wording, or personal stories.
A source-linked pattern library with post structures, topic tensions, evidence of recurrence, original angle prompts, and a clear line between inspiration and imitation.
Quick view
Check the audience, core tools, and access before you start the detailed steps.
Best for
Core tools
3 tools used across the workflow.
Access
Preview the open steps, then unlock the remaining implementation details and prompts.
Why this works
Social research becomes derivative when teams save individual posts and imitate the most visible hook. This workflow studies recurring structures across a sample, separates format from substance, and forces every output idea back through the company’s own evidence and point of view.
Expected results
Research provenance
Every coded post retains a public source URL
Patterns remain auditable and can be checked against the original context.
Originality rule
No distinctive competitor wording reused
The output is a structural research system, not a swipe-file copier.
First-party learning
Your own tests update the pattern backlog
Over time the system relies more on audience-specific evidence than visible popularity elsewhere.
Step-by-step workflow
The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.
30-45 min
30-45 min
Choose the accounts, topics, date window, and minimum relevance criteria before opening any feed. In Google Sheets, record why each account belongs in the sample and exclude celebrity accounts whose audience or business model makes them a poor comparison. Decide which public engagement signals you will retain as context without treating them as proof of business performance. Review the sample for overconcentration in one creator style or subtopic.
A bounded research sample with explicit inclusion and exclusion rules.
A bigger sample is not automatically better. A coherent niche sample is more useful than hundreds of unrelated viral posts.
45 min
45 min
Use Apify to collect the approved public posts with URL, account, date, text, visible engagement counts where available, and any media or thread indicator. Respect platform terms and collection limits, and do not collect private or sensitive account information. De-duplicate reposts and quote-post variants before analysis. Manually open a sample of URLs to verify the text and dates still match the source.
A dated, source-linked public-post dataset ready for coding.
Keep the URL beside every row. Pattern research loses credibility fast when the original examples cannot be reopened.
Pro workflow preview
Previewing 2 of 6 steps
Get the remaining 4 steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and ongoing workflow and prompt releases.
$9/month
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