What is the ideal blog post length for SEO?
If you're asking how long should a blog post be for SEO, Google's answer is that there is no set length. Google says it has no preferred word count, and its 2026 guide to AI search adds that "there's no ideal page length." Word count is not a ranking factor. The right length is whatever it takes to answer the searcher's question completely, without padding. For a narrow question that might be 300 words; for a broad comparison it might be 2,000. Work out the questions the reader has, answer them, then count the words.
What Google has said about word count
Google's documentation is direct about this in two places:
- Its page on creating helpful, reliable, people-first content lists this among the warning signs of search-engine-first content: "Are you writing to a particular word count because you've heard or read that Google has a preferred word count? (No, we don't.)"
- Its guide to generative AI features in Search, added on May 15, 2026, says: "There's no ideal page length, and in the end, make pages for your audience, not just for generative AI search." It adds that shorter or longer pages "can work well depending on your audience and subject matter."
Put plainly, Google doesn't rank pages by how many words they have. When a long post ranks well, the reason is what it covers.
The "skyscraper" fallacy
I used to believe that if a competitor wrote 1,000 words, I had to write 2,000. That was wrong. Google's guidance asks whether a reader will "leave feeling they've learned enough about a topic to help achieve their goal," and nothing in it rewards volume. Padding a post to hit a number makes the answer harder to find, and frustrated readers leave. I now aim for topical completeness: covering every sub-question that matters, whatever the final word count.
How long should a blog post be? How to size one post
- Write the main question in one sentence. Your first paragraph should answer it.
- List the follow-up questions a reader would have next. Google describes AI Mode doing something similar with "query fan-out": for "how to fix a lawn that's full of weeds" it might also search "best herbicides for lawns", "remove weeds without chemicals" and "how to prevent weeds in lawn". Each real follow-up is a candidate section.
- Look at the pages already ranking and note what they cover, not how long they are. A question they all skip is your opening.
- Write each section until its question is answered, then stop. Cut any paragraph the reader wouldn't miss.
- Count the words afterwards with the word counter, which also shows reading time at 200 words per minute.
One caution from the same Google guide: don't turn each follow-up question into its own thin page. Creating content for every query variation "primarily to manipulate rankings" falls under the scaled content abuse spam policy. Follow-ups belong as sections of one page.
A worked sizing example
Take the lawn question from step 2. The main answer plus the three follow-ups Google gives is four sections. Suppose each needs a short explanation and a few steps, about 250 to 350 words, plus a 100-word intro that answers the main question straight away:
| Section | Rough words |
|---|---|
| Intro with the direct answer | 100 |
| How to fix a lawn that's full of weeds | 350 |
| Best herbicides for lawns | 300 |
| Removing weeds without chemicals | 300 |
| How to prevent weeds coming back | 250 |
| Total | 1,300 |
The total comes from the questions. If research turned up a fifth question that readers really ask, such as when in the year to treat a lawn, the post would grow by another few hundred words. If two of the sections turned out to say the same thing, it would shrink.
How many words should a blog post be for SEO?
No number on its own will help a page rank, because Google doesn't count words as a ranking signal. What a word count can tell you is whether your plan and your draft match. If the outline has six questions and the draft is 600 words, some answers are probably thin. If the outline has two questions and the draft is 2,500 words, something is padded.
A rough guide by post type, from the sizing method above rather than from any study:
| Post type | Questions it usually answers | Length that often results |
|---|---|---|
| Fix for one error or setting | 1 or 2 | 300 to 700 words |
| Single how-to with steps | 3 or 4 | 800 to 1,300 words |
| "What is X" explainer | 4 to 6 | 1,000 to 1,800 words |
| Comparison or buying guide | 6 or more | 1,500 to 3,000 words |
Treat a draft that lands far outside its row as a reason to recheck the outline.
What the common length bands mean for the reader
If you outline with our AI blog outline generator, it offers four length bands. Here's what each means in reading time, at the word counter's 200 words per minute and at the 225 used for the "min read" label on this blog, rounded up to whole minutes:
| Outline length setting | Words | At 200 wpm | At 225 wpm |
|---|---|---|---|
| Short | 500-800 | 3-4 min | 3-4 min |
| Medium | 1,000-1,500 | 5-8 min | 5-7 min |
| Long | 2,000-3,000 | 10-15 min | 9-14 min |
| Comprehensive | 4,000+ | 20+ min | 18+ min |
Use this to check the fit. Someone searching for a quick fix to one error message doesn't want a 15-minute read; someone comparing three tools before buying might. The reading time guide explains the math.
When to go long vs short
- Longer (1,500 words or more) usually suits broad guides, "what is X" comparisons and foundational explainers, where the reader has several connected questions.
- Shorter (under 800 words) usually suits product updates, single-tool guides and "how to fix [error]" posts, where the reader wants one answer and to get back to work.
Signs a post is the wrong length
- Too short: the reader has to search again. Google lists "Does your content leave readers feeling like they need to search again to get better information from other sources?" as a warning sign.
- Too short: a step is missing, or a term is used without explanation for the audience you're writing for.
- Too long: the intro restates the title, two sections answer the same question, or the post ends by summarizing what the reader just read. AI drafts are prone to all three; my AI editing checklist shows how to cut them.
When to make an existing post longer
Adding words to an old post helps when the words answer something the post doesn't. Search Console's Performance report shows the queries a page already gets impressions for. If people reach your post with questions it never answers, a new section is worth writing. If the queries are all covered, more words just make the answer harder to find.
When you do expand a post, keep the new section on the page's topic and link to your other posts for side questions instead of covering them all in one place. Watch for the habit of repeating the main phrase in every new paragraph; how to avoid keyword stuffing shows what that looks like. A readability score check after the edit tells you whether the new sections are harder going than the rest.
If you draft with AI, set the length from your outline rather than asking for "a 2,000-word post"; how to use AI to write blog posts walks through that workflow.
Frequently asked questions
Does word count affect ranking directly?
No. Google says it has no preferred word count and that there's no ideal page length. What its guidance asks is whether the page answers the question well enough that the reader doesn't need to search again.
How long should a blog post be in 2026?
The same as before. Google's 2026 guide to AI features in Search says there's no ideal page length and that shorter or longer pages can work depending on the audience and subject. Size the post to the questions it answers.
Is a 300-word blog post too short?
Not if it fully answers a narrow question. Google's documentation sets no minimum. If readers would have to search again for the rest of the answer, it's too short, whatever the count.
How long should a post be to appear in AI Overviews?
Google says there are no additional requirements for AI Overviews or AI Mode, no need to break content into small chunks, and no ideal page length. The page needs to be indexed and eligible to show a snippet in Google Search.
