Ai Review

Apps
1

I used an AI tool to generate content, but I’m not sure if it’s accurate, original, or safe to publish. I need help reviewing the AI output for quality, possible plagiarism, and any issues that could hurt SEO or trust with my audience. What should I check and how can I fix or improve the AI-generated text?

2

I treat AI output like a rough draft from a distracted intern. Parts help, parts hurt.

Here is a simple workflow you can run through.

  1. Check accuracy
    • Break the piece into claims.
    • For each fact, do a quick Google search or use trusted sources like .gov, .edu, PubMed, product docs.
    • If you can not verify it fast, cut it or rewrite it from sources you trust.
    • Watch for fake stats like “87 percent of users say…” with no source. Delete those.

  2. Check originality and plagiarism
    • Run the text through at least one plagiarism checker, for example Quetext, Grammarly, Copyscape.
    • If any line looks close to another page, rewrite it in your own words or change the structure and add your own angle.
    • Give credit with links when you reference studies or reports.

  3. Check for AI “tells” that hurt trust
    • Remove generic filler like “in today’s digital age” or “needless to say”.
    • Replace vague claims with specifics. Numbers, examples, product names, dates.
    • Add your personal experience, opinions, screenshots, or data. That signals a human wrote or edited it.

  4. Fix SEO problems
    • Pick one clear primary keyword. Make sure it appears in title, first 100 words, one subheading, and a couple times in body where it fits.
    • Remove keyword stuffing. If a keyword shows up in every line, cut it.
    • Add internal links to 2 to 4 related pages on your site.
    • Add 1 to 3 outbound links to authority sites.
    • Fix headings so structure is H1, then H2, maybe H3. No random bold phrases pretending to be headings.

  5. Check for E‑E‑A‑T signals
    • Add an author name and short bio with your experience.
    • Add any real data you have. Small sample is fine.
    • If you give advice, say what you personally do or did.
    • Make disclaimers where needed, like for health, finance, or legal topics.

  6. Style and safety pass
    • Run a grammar checker. Fix obvious typos but keep some natural tone so it does not sound robotic.
    • Scan for risky claims, like medical cures, financial promises, or legal guarantees. Soften those or remove.
    • Make sure it does not repeat harmful stereotypes or weird biased language.

  7. Final sanity check
    • Read it out loud. If a sentence feels off, rewrite or delete.
    • Ask “does this say anything new or useful” at section level. If a paragraph adds nothing, cut it.
    • Optional, paste a paragraph into Google in quotes. If you see almost the same wording, rewrite.

If you want, paste a chunk here next time and people can point to exact lines that look weak, scraped, or SEO risky.

3

I kinda agree with @voyageurdubois on treating AI like a distracted intern, but I’d tweak the workflow so you’re not spending your whole life fact checking every comma.

Here’s how I’d handle it in practice:

  1. Triage the piece first
    Before deep review, skim and ask:

    • Is this actually saying anything non-obvious or useful?
    • Would you share this with a friend and not be embarassed?
      If the answer is “meh” across the board, it’s usually faster to restart and only reuse the few good ideas or sections. No point polishing a turd.

  2. Spot-check accuracy instead of line-by-line
    Instead of verifying every claim:

    • Identify the 5–10 most critical or “dangerous” claims:
      • Numbers, stats, specific tools, processes, instructions, health/finance/legal stuff.
    • Verify just those with reputable sources.
    • Anything super specific that you can’t verify easily is a red flag. Either cut it or reframe it as:
      • “Some users report…”
      • “One approach is…”
        and then add a caveat.
        If the critical checks fail repeatedly, assume the rest is flaky too.

  3. Check originality via structure, not just wording
    Plagiarism checkers are helpful, but AI content often dodges them while still being “rehash-y.” So:

    • Look at the outline: are the headings and order exactly the same as the top Google results?
    • If your piece is basically “What is X / Why X matters / Benefits of X / How to do X / Conclusion” with zero twist, it may be original text but not original thought.
    • Force at least one section that only you could write:
      • A mini case study from your business
      • A failure story
      • Screenshots or specific tools / settings you actually use

  4. Fix the “AI voice” by injecting friction
    Most AI text is too smooth and generic. Add friction:

    • Allow yourself to disagree with “standard” advice in the article.
    • Insert a couple of specific, slightly messy details:
      • Real numbers: “We tested this with 43 leads…”
      • Real tools: “In HubSpot, I set this up by…”
    • Shorten over-polished sentences. Something like:
      • AI: “In today’s fast-paced digital landscape, businesses must harness the power of data-driven insights.”
      • You: “You’re not special. You just need actual data instead of vibes.”
        You don’t need to get that blunt, but you get the idea.

  5. SEO: think searcher frustration, not just keywords
    @voyageurdubois covered the mechanical side. I’d add:

    • Search the main query on Google and open the top 3 results.
    • Ask: “What annoyed me about these?” Too long, too fluffy, missing examples?
    • Fix that in your version. That’s what helps with SEO & trust more than any keyword placement.
    • Make one section purely “straight answer” to the search intent in plain language near the top. No long runway.

  6. Trust: make it obvious a responsible human touched this
    Instead of only bios and disclaimers:

    • Add a short “Editor’s note” at the top or bottom:
      • “This article started from an AI draft and was edited, fact checked, and updated by [role]. We removed generic parts and added our own experience and data.”
    • For sensitive areas (medical, finance, parenting, safety):
      • Add clear “this is not professional advice” language
      • Avoid absolute language like “guaranteed,” “proven to cure,” “risk free”

  7. Quick “this will get me in trouble?” pass
    Ask yourself:

    • Could a beginner misread this and hurt themself, their health, or their money?
    • Could a competitor or regulator screenshot this and use it against you?
      Anything that makes you hesitate gets softened, clarified, or removed.

  8. When to not publish AI content at all
    I’d skip AI entirely or use it only for outlines if:

    • You’re in YMYL topics: health, finance, legal, safety, crypto, kids, etc.
    • You don’t have real experience to correct it. Then you’re just laundering guesses.
    • You feel weird putting your name or brand behind it. That instinct is usually right.

If you want a tactical move for your next piece:
Take the AI output, keep the structure, then rewrite just 1–2 paragraphs per section in your own messy, opinionated voice, and delete at least 20% of the text. After that, then run plagiarism and grammar checks as a final polish, not as the main process.

That way the AI is a scaffold, not the final product pretending to be you.