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    AI Marketing Automation: Build a Reviewable Content Workflow

    By Brian HansonSeptember 19, 20262 min read

    Choose a reader problem before choosing a channel

    Start with the question a qualified customer needs answered. “Which option fits my situation?” is a better brief than “write five posts this week.” Collect recurring questions from approved customer conversations and search data, then identify which ones your team can answer with real expertise.

    Build a workflow with a clear review point

    1. Brief: specify the reader, the decision, the facts, and the next step.
    2. Draft: ask for an outline and missing evidence before a finished article.
    3. Verify: check numbers, product capabilities, dates, and links against primary sources.
    4. Improve: add a useful example, a decision table, or your documented experience.
    5. Publish: review the final page on mobile and verify its offer.
    6. Measure: compare relevant activity and business outcomes across comparable periods.

    Keep source references with the draft. Reuse only the approved version in email and social posts so a corrected claim does not survive in another channel.

    Pick your next improvement

    Judge usefulness before a tool score

    Google’s people-first content guidance emphasizes content that helps the intended audience. A useful editorial check asks whether the page answers its question, supports its claims, and adds something beyond a rewritten announcement. A formatting score cannot establish any of those things on its own.

    Keep the title descriptive and give readers a clear path to the next relevant topic. Avoid publishing separate pages for every slight wording variation when one substantial answer would serve the reader better.

    Connect marketing to the next conversation

    If a page produces inquiries, decide who receives them and how unanswered questions return to the editorial plan. Continue with AI sales and customer service to design that handoff. If the team is still selecting its first project, return to AI for small business.

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