Review an AI Content Batch for Repetition and Thin Ideas

A set of individually readable posts can still make a poor campaign. The problem may be that every piece repeats the same idea, uses the same example or asks the reader to take the same step without adding understanding.

Review the batch as a collection after checking each draft's facts. This is different from trying to guess whether a sentence was written by AI.

Make the repetition visible

For each draft, write one line containing the reader's question, main claim, example and next step. Read those lines together without the decorative wording.

A fictional batch for a reporting tool might reveal:

Keep one and four if they serve the audience. Combine or discard two and three rather than searching for more synonyms.

Check variety in the substance

Useful variety can come from a different question, tradeoff, example or level of detail. Alternating a question hook with a numbered list is only surface variety if the answer remains unchanged.

Ask what the reader knows after each piece that they did not know before. If you cannot answer, the post may need a new source or may not need to exist.

Inspect reused evidence

A single case study can support several lessons, but do not make it look like several independent customer results. Preserve the same scope and numbers across adaptations.

If a source says a feature was tested by a small internal team, a later post must not promote that into a claim about all customers. Batch review is a good place to catch this gradual expansion.

Review voice without engineering fake humanity

Cut empty introductions, repetitive closing questions and inflated claims. Keep useful qualifications, correct grammar and lists that make a procedure easier to follow. Do not add typos, forced disagreement or invented anecdotes to make the batch seem human.

Read adjacent posts aloud if their cadence feels monotonous. Change the structure when the argument benefits, not to satisfy an arbitrary detector checklist.

Release only the useful pieces

There is no required rejection percentage. A strong brief may produce several usable drafts; a weak brief may need to be restarted. Record why a piece was removed so the next generation does not recreate it.

If you use FeedSquad, inspect Ghost's LinkedIn drafting workflow, then apply the same claim and repetition checks before approving a post. An automatically proposed campaign date is separate from approval; see campaign review and publishing.

Use the quality rubric for individual readiness and the campaign planning example to give each future draft a distinct job.