How to Edit AI Content So It Reads Like an Expert Wrote It

An AI draft can look finished in seconds.

Clean headings. Smooth sentences. Nothing obviously wrong.

Then an expert reads it and finds three things that are not true and nothing they would actually say.

Editing AI content is not proofreading. It is rebuilding a plausible draft into something accurate and specific. Here is how I edit AI content in seven passes, in the order that wastes the least effort.

Why Edit in Passes?

Each pass looks for one kind of problem.

If you try to fix everything in one read, you end up polishing sentences in a section you later delete, or rewording a claim you later find is false.

So the passes run from big to small:

Step 1: Check the Draft Against the Brief

Before you touch a sentence, compare the draft with what the page was supposed to be.

Ask four questions:

• Does it answer the search? Read the first two sentences. If they do not answer the query, the structure is wrong.
• Is it the right type of page? A guide where the results show comparisons will struggle. My explainer on search intent shows how to check.
• Does it follow the outline? Missing sections, extra sections and reordered sections all count.
• Does it stay inside its boundaries? If it drifts into a topic another page on your site owns, cut that part.

If the draft fails here, regenerate or restructure it before going further.

A good brief makes this pass quick. My content brief template gives you the fields to check the draft against.

Step 2: Mark and Verify Every Claim

Facts come before style, because a false claim costs more than a clumsy sentence.

Google's guidance on generative AI content says outputs "may contain inaccuracies (also known as hallucinations)". So assume some are there.

Go through the draft with a highlighter and mark:

• Every number: prices, dates, percentages, counts.
• Every named thing: products, laws, organisations, people.
• Every product or platform behaviour: settings, features, limits.
• Every claim about the business: experience, guarantees, results, credentials.

Then check each one against a primary source you have opened yourself.

If you cannot find a source, the claim goes. Replace it with something you can stand behind, or nothing.

Warning: Models describe software as it was when they were trained. Feature names, menu paths and limits change. Check every one against current documentation.

Step 3: Cut What Says Nothing

Cutting before adding keeps the draft from bloating.

AI drafts carry the same filler in the same places. Look for these first:

Keep a list of banned words and phrases and search for each one. Rewrite every hit rather than deleting the word and leaving a broken sentence.

You will often remove a large share of the draft in this pass. That is fine.

Step 4: Add What Only an Expert Would Know

This is the pass that makes the page worth reading.

A model writes the average of what is already published. Google's helpful content guidance asks whether content provides insightful analysis or interesting information that is beyond the obvious. The average never is.

For each section, add at least one of these:

• A real example. A situation the business has handled, anonymised if needed.
• A mistake people make. What customers get wrong before they call.
• A judgement. Which option you would pick, and when you would not.
• Process detail. How the work actually runs, in what order, and what slows it down.
• A number the business owns. Its own prices, timelines or capacity, if it is happy to publish them.

If you are not the expert, interview one. A short conversation per section usually gives you more than the whole draft did.

Here is what the difference looks like.

AI draft: "Choosing the right accountant is an important decision for any small business. It is essential to consider factors such as experience, cost and communication style to ensure the best fit."

Edited: "Ask any accountant you shortlist which software they file from and who will actually do your books. If the answer is 'a junior', ask to meet them. That person, not the partner on the website, decides how quickly your questions get answered."

The edited version is specific, opinionated and useful. No model would write it without being told.

Step 5: Rewrite for Voice

Now the text is accurate and substantial. Make it sound like the business.

Read it aloud and fix:

• Rhythm. AI paragraphs tend to be the same length with the same sentence shape. Break some up; let a few sentences run longer.
• Point of view. First person singular, plural or neither, held consistently.
• Vocabulary. The words the business uses for its own services, not the generic category terms.
• Spelling. One convention throughout. Models drift into US spelling on UK sites.

Pro tip: Write a short voice profile once: register, point of view, words you always use and words you never use. Give it to the model before drafting and to the editor before this pass. The edits get lighter with every page.

Step 6: Tighten Headings and Openings

Readers scan headings first, and AI answers often lift sections on their own.

Read only the headings, top to bottom. They should tell the whole story of the page.

Then check the first sentence under each heading. It should answer the question the heading raises, with no warm-up.

Fix headings that are vague ("Key considerations"), clever but unclear, or that promise more than the section delivers.

Step 7: Finish the Metadata and Links

The last pass covers what readers see in search and what connects the page to the rest of the site.

Google's generative AI guidance says the fact-checking review also applies to title elements, meta descriptions, structured data and image alt text, because they can appear in search results.

So check:

• Title tag and meta description. Accurate, the right length and worth clicking. My guides on writing title tags and meta descriptions cover both.
• Structured data. Every value matches what the page shows.
• Internal links. Links out to related pages, and at least one existing page linking in.
• Byline. A real person who stands behind the page.

Then run the full AI content quality checklist as a final gate before publishing.

Common AI Editing Mistakes

These undo good editing more often than anything else:

• Line editing first. Beautiful sentences in a section that fails the brief.
• Trusting the citations. AI drafts can cite pages that do not exist or do not say what is claimed.
• Editing alone on specialist topics. An editor can make a draft read well; only an expert can make it right.
• Scaling past your editing capacity. Five properly edited pages beat twenty skimmed ones. My view on whether AI can write SEO content explains why volume without review is the pattern Google targets.
• Skipping the batch check. Pages edited one at a time can still repeat each other's wording.

If you want the bigger picture of what Google rewards, read my explainer on Google's helpful content guidelines.

Start With the Facts on Your Next Draft

Editing AI content is a sequence: get the shape right, make it true, cut it down, make it expert, then make it sound right.

Your first action: take the AI draft closest to publishing and do only Step 2. Highlight every claim and verify each one. Most drafts change more in that pass than in any other.

If you would rather have a system do the heavy lifting, my content writing automation runs drafts through type playbooks and validators before I edit every page by hand, and nothing goes live without your approval. The decisions about what to publish in the first place belong with content strategy, and the edited drafting pipeline handles the production.