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What a publishable AI-generated blog post looks like, line by line

9 min read
What a publishable AI-generated blog post looks like, line by line

A publishable AI-generated blog post answers the question in its first two sentences, links every figure to a page that actually contains it, marks your own figures as yours, and has a title, description and byline someone has checked. Fluent prose is the easy part. What separates a draft you can publish from one you can't is whether each line can be traced back to a source or to you.

The clearest way to show that is to take one real AI-written post apart, line by line. Below is a test post from our own writer, annotated, next to the generic draft most AI tools produce for the same topic.

Key takeaways

  • A publishable AI-generated blog post answers its title in the first two sentences.
  • Every market-wide figure links to the page that contains it, stated exactly as the source states it.
  • Your own prices and experience appear as yours ("we charge"), not as statistics about everyone.
  • Titles, meta descriptions and alt text need the same accuracy check as the body, according to Google's guidance.
  • Before publishing, find one line anyone can check and one line only you could have written.

The post we're taking apart

The example comes from one of Blog AI's test runs on 4 October 2026. The business is made up: a Dublin heating firm we called Northside Heating. So are its prices, which we wrote into the test brief as the owner's answers. The topic was "How much does a boiler service cost in Dublin?", and the post was written by the same writer and checked by the same fact-checker that customer posts go through.

We picked it because it has every kind of line a small business post needs: a figure from the web, figures only the owner knows, practical advice, and a safety point where getting it wrong would matter.

One thing to keep in mind as you read: the prices quoted as "ours" below belong to a fictional business. They're there to show how an owner's figures should appear in a post, not as a guide to what boiler services cost.

Lines 1–2: the answer comes first

Here's how the test post opens:

A gas boiler service in Dublin typically costs between €100 and €140 including VAT, according to Homepros' 2026 price guide. We charge €120 for a standard gas boiler service and €150 for oil, VAT included.

Two sentences, and the reader has the market range, the business's own price, and where the range came from. Compare an opening most AI tools would give you for the same brief (we wrote this one to illustrate):

Keeping your boiler in good working order is essential for every homeowner. In this guide, we'll explore everything you need to know about boiler service costs in Dublin.

Nothing in the generic version answers the question, and nothing in it could only have come from this business. If a reader, or an AI answer engine, wanted to quote one line from it, there's nothing to quote.

What to check in your own draft: could someone stop reading after the second sentence and still have the answer? If not, rewrite the opening before you touch anything else.

A cited figure: the link has to hold the number

The €100–€140 range is the post's one market-wide statistic, and it's linked inline to the page it came from. Behind the scenes, the writer recorded three things for that claim: the sentence in the post, the source URL, and the words on the source page that back it up. The checker then opened the page and confirmed the figure was there.

We opened it again for this post. The Homepros 2026 price guide still gives €100–€140 for a gas boiler service in Dublin. That's the standard every figure in a publishable post has to meet: anyone can click the link and find the number.

This is where most AI drafts fail. Google's own guidance on generative AI content puts it plainly: models "don't retrieve facts, but predict a likely sequence of words", so a manual fact-check is "critical" before you publish. A link that points to a real page about the right subject isn't enough. The page has to contain the figure.

Three things to look for on every statistic:

  • The link goes to the source itself, not a roundup that quotes someone else.
  • The figure matches exactly, including the year, the region and whether VAT is included.
  • The sentence doesn't stretch it. "Dublin prices are €100–€140" is supported. "Most Dublin homeowners pay €130" is not, even with the same link.

Across all our test posts from 25 September to 12 October 2026, the checker matched 441 of 460 cited statistics to their sources and held 34 for review. That's why a person still looks at every flag. Our guide to editing AI content covers the accuracy pass in more detail.

A "From you" figure: the owner's own numbers

The next sentence, "We charge €120 for a standard gas boiler service and €150 for oil", has no link, and that's correct. No website knows what this business charges. The figure came from the owner's answer to a question the writer asked before it started:

What do you charge for a boiler service, and what changes the price?

The owner's (made-up) answer gave the gas and oil prices, a €40 charge for boilers more than two years overdue, and a €99 price on the annual plan. Every one of those turns up in the post, worded naturally, and each is recorded as a claim whose source is the owner rather than a web page. The checker confirms the figure in the post matches the figure in the answer.

This is the line that makes the post worth publishing. Google's helpful content guidance asks whether content shows "first-hand expertise and a depth of knowledge". A price, the reason oil takes longer, the part that usually needs replacing: that's first-hand expertise, and no amount of web research can produce it. It's the part of the job to keep for yourself, as we explain in AI blogging for a small business: what to hand to AI and what to keep.

Notice what the post doesn't do with these figures. It doesn't dress them up as market data ("the average Dublin service costs €120"). It says "we charge". Keep that distinction in your own posts: your numbers are evidence of your experience, not statistics about everyone.

The skimmable parts: table, headings, FAQ

Most readers skim before they read. The test post gives them three ways in.

A comparison table near the top. The business's prices sit next to the published range, with a source column. A reader who only reads the table still gets the answer and can see which numbers are whose.

Headings that are answers, not labels. "Why oil costs more than gas" and "What pushes the price up" tell you what's in each section. A heading like "Key considerations" tells you nothing.

An FAQ built from real follow-up questions. The test post ends with four questions a customer would ask next: how often to service, whether parts are extra, whether the certificate is included, and why a quote might be higher. Each answer is consistent with the body. An FAQ that contradicts the post, or repeats it word for word, is worse than none.

Since that test run, Blog AI's posts also open with a short Key takeaways list. The rule for those is the same as for the FAQ: they have to say what the body says, with the same figures.

The lines readers don't see: title, description and alt text

A post has text that appears in Google before anyone reaches the page. Google's generative AI guidance says the accuracy review "also applies to metadata like <title> elements, meta description elements, structured data, and alternate texts for images".

In the test post:

  • The title is the question people ask, plus the year: "How much does a boiler service cost in Dublin? (2026 prices)". The year is only there because the prices are 2026 prices.
  • The meta description names what's in the post (gas and oil prices, typical Dublin ranges, the extras that change the bill) rather than repeating the first paragraph.
  • The image alt text describes the picture, an engineer servicing a boiler in a kitchen, in plain words.

Check these fields with the same care as the body. If the description promises something the post doesn't deliver, readers bounce and you've wasted a click. Our guide to publishing AI content to WordPress shows where each of these fields lives.

Line by line: publishable vs generic

Here's the whole comparison in one table.

Line

Publishable post

Generic AI draft

Opening

Answer with a sourced range and your own price

Background about why the topic matters

Market figures

Linked to the page that contains them

Unlinked, or linked to a page about something else

Your figures

"We charge…", from your own answers

"Prices vary depending on several factors"

Advice

Specific: book outside winter, ask what's included

"Always consult a professional"

Safety or legal points

Linked to the regulator or scheme that says it

Stated as general knowledge

Headings

Say what the section answers

"Introduction", "Key considerations", "Conclusion"

FAQ

Real follow-ups, consistent with the body

Questions the body already answered, reworded

Title and description

Checked, specific, match the post

Accepted as generated

Byline

A real person who read it

Blank, or the tool's name

On that last row, Google's AI content FAQ says giving AI an author byline "is probably not the best way" to be clear with readers. Put the name of the person who checked the post and stands behind it. If you're wondering whether any of this affects rankings, we covered what the guidelines say in does Google penalise AI content.

A checklist to run before you publish

Go through your draft once with these eight questions. Each takes a minute or two.

  1. Do the first two sentences answer the title? If not, rewrite the opening.
  2. Does every statistic have a link, and have you seen the figure on the linked page? Remove any you can't find.
  3. Is each figure stated exactly as the source states it, with the year and region?
  4. Are your own figures (prices, timings, what you've seen) in the post, and written as yours? If there are none, add at least one.
  5. Would a reader know what each section answers from its heading alone?
  6. Does the FAQ say the same as the body?
  7. Have you read the title, meta description and alt text as carefully as the body?
  8. Is there a real person's name on it?

If you use Blog AI, questions 2 and 4 are partly done for you: the fact-checker checks every cited claim against its page and your figures against your answers, and a statistic it can't confirm holds the post until you've dealt with it. You still do the rest.

The one thing to take from the boiler example is that its most useful lines aren't the polished ones. They're the €120 that only the owner knew and the €100–€140 that anyone can check. Before you publish your next AI draft, find one line of each kind. If you can't, the draft isn't ready yet.

Frequently asked questions

Are AI-generated blog posts good enough to publish?

They can be, once a person has checked them. A raw draft usually reads fluently but lacks first-hand detail and may contain figures its sources don't support. After you add your own experience, confirm every statistic against its source and review the title and description, an AI-assisted post can be as publishable as any other.

How do I check the facts in an AI-generated blog post?

Open every link and find the exact figure on the page. Check the year, the region and any conditions such as VAT, and make sure the sentence doesn't claim more than the source says. Remove any figure you can't find. A fact-checking tool can do the opening and matching, but a person should resolve every flag.

Should an AI-generated post include an FAQ section?

Include one when there are real follow-up questions the body doesn't already answer, such as whether parts are extra or how often to book. Every answer has to match the body, including its figures. An FAQ that repeats the post in different words, or contradicts it, adds length without helping the reader.

Does Google penalise AI-generated blog posts?

Not for being AI-generated. Google says it rewards helpful, original content however it's produced. What it does act on is scaled content abuse: generating many pages without adding value for readers. A checked, specific post with first-hand detail is judged like any other page.

Drafted with AI assistance, edited, and source-checked by hand. Published and measured with Blog AI.

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