The fastest way to run out of blog ideas is treating them as a flat list to work through. A better method sorts ideas by the intent behind the search that would find them: how-to (someone wants a solved problem), comparison (someone is deciding between two options), behind-the-scenes (someone wants to see how something actually gets built), and data or original research (someone wants a number that does not exist yet). Below are 40+ ideas across those four buckets, plus the method for generating more once the list runs out, and what to do with an idea once you have one.
Every list of blog ideas online is the same flat pile: a hundred prompts with no organizing principle beyond “things you could write about.” That works for the first ten ideas and then starts repeating itself, because a flat list has no method for generating a hundred and first idea once the obvious ones are used. This post gives the ideas grouped by the reason someone would actually search for them, so the grouping itself becomes the method.
Table of contents
- How-to: someone wants a solved problem
- Comparison: someone is deciding between two options
- Behind-the-scenes: someone wants to see it actually get built
- Data and original research: someone wants a number that does not exist yet
- The method for generating idea 41 and beyond
- From idea to published post
- How this fits the rest of the stack
- FAQ
How-to: someone wants a solved problem
How-to content ranks because it answers a specific, already-existing search, not because it is clever. The best how-to ideas come from your own support inbox, sales calls, or the questions you get asked in person more than once.
- How to do [the specific task your product or service does] without [the common obstacle]
- How to choose between [two common options] for [a specific use case]
- How to fix [the error message or symptom] people hit right after [a common action]
- A step-by-step for the task you personally had to Google three times before it stuck
- How to do [task] on a budget of [specific number], not “cheaply”
- How to avoid the mistake almost everyone makes the first time they try [task]
- A checklist for [a recurring task] that people otherwise redo from memory every time
- How long [a process] actually takes, with real numbers instead of a vague estimate
- How to tell when you have outgrown [a tool or approach] and need the next one
- A troubleshooting guide organized by the exact error text people search for
Comparison: someone is deciding between two options
Comparison content converts well because the reader is close to a decision, not just browsing. The honest version names both sides fairly and lets the reader’s own situation decide the winner, rather than declaring one universally better.
- [Option A] vs [Option B] for [a specific use case], not in general
- When [the popular default choice] is actually the wrong one
- The real cost difference between [two approaches], with the assumptions stated
- [Tool/platform] vs building it yourself: the actual trade-off
- Three signs you should switch from [Option A] to [Option B]
- [Option A] and [Option B], used together instead of chosen between
- The decision tree, not just a table, for choosing between [three or more options]
- What changed in [a category] this year that makes an old comparison outdated
- A comparison written for beginners vs the same comparison for an experienced user
- The question people actually ask, restated, before the comparison starts
Behind-the-scenes: someone wants to see it actually get built
Behind-the-scenes content is the hardest to fake and the easiest to differentiate with, because it requires having actually done the thing. It also ages better than most content, since a real process rarely goes fully out of date.
- How we built [a specific feature or product], including what we got wrong first
- What our [a recurring internal process] actually looks like, screenshots included
- The stack or setup behind [something you ship], and why each piece was chosen
- A postmortem of something that broke and what changed afterward
- What a typical week looks like for [a role on your team]
- The numbers behind [a claim you make in marketing], shown rather than asserted
- Why we changed [a decision] after shipping it the first way
- What it actually costs us to run [a part of the business], broken down
- A tour of the tools we use for [a specific function], and why not the popular alternative
- What we would do differently starting over today
Data and original research: someone wants a number that does not exist yet
Original data is the highest-effort category and the one most likely to earn links and citations, because it is the only kind of content nobody else can copy without doing the same work.
- An analysis of your own [usage, sales, or support] data, anonymized, with a chart
- A survey of your customers or audience on a question nobody has asked publicly
- A year-over-year comparison of a metric in your industry
- A ranking built from a dataset you compiled, not opinion
- The most common [mistake, question, or request] you see, quantified
- What changed in [a benchmark] since the last time anyone measured it
- A breakdown of where your own traffic, customers, or usage actually comes from
- An experiment you ran, with the result stated even if it was negative
- A prediction with a specific, checkable number attached, revisited a year later
- The distribution behind an average everyone quotes, showing the range it hides
The method for generating idea 41 and beyond
Once the obvious ideas in each bucket are used, generate more by asking, for each bucket, what changed recently: a new tool launched (comparison), a process you improved (behind-the-scenes), a question support tickets keep repeating (how-to), or a full quarter of data you have not looked at yet (data).
A second source: read your own site’s search queries in Search Console and sort by impressions with low clicks, that is a list of things people are already searching for on your site and not finding a good answer to, sorted by demand rather than guesswork.
The four-bucket method does not run out the way a flat list does, because each bucket refills itself as the business keeps operating: new comparisons emerge, new mistakes get made and fixed, new data accumulates every month.
From idea to published post
An idea is not a post until it has a specific angle, not just a topic. “Write about email marketing” is a topic; “the three subject line mistakes that tanked our open rate before we found them” is an idea with a lede already built in.
Once an idea has an angle, the structure from Sample Blog Post applies regardless of which of the four buckets it came from: a direct lede, headings that map the content, a CTA placed after the value is delivered. Publishing mechanics, static site or WordPress, are the last decision, not the first one.
How this fits the rest of the stack
A method that refills itself beats a list that runs out, and the publishing step matters as much as the idea once the draft is done. If the plan is to publish on a regular cadence, host that keeps up with a growing archive without a rebuild every few months, whether static or WordPress, is worth checking against the RunxBuild hosting calculator before the tenth post, not after. Managed WordPress on RunxBuild covers the editor-driven path, and the dashboard is where either kind of blog actually ships.
Useful related references:
- Sample Blog Post: An Annotated Structure You Can Actually Copy
- Blog Examples: What the Good Ones Actually Do Differently
- The Best Blogging Platform Is the One You Can Leave
- Managed WordPress on RunxBuild
FAQ
How do I come up with blog post ideas?
Sort by intent instead of brainstorming a flat list: how-to ideas from your own support questions, comparisons from decisions your customers are actually weighing, behind-the-scenes from your own process, and data ideas from information only you have access to.
What are good blog post ideas for beginners?
Start with how-to content: the tasks you had to figure out yourself, written the way you wish someone had explained them the first time. It requires no original research and directly matches what people are already searching for.
How many blog ideas should I have before I start?
A working list of ten to fifteen across the four intent buckets is enough to start publishing consistently. The four-bucket method matters more than the exact count, since it keeps generating new ideas as the business changes rather than running out after the first batch.
Where do the best blog post ideas actually come from?
Your own data: support tickets, sales call questions, Search Console queries with high impressions and low clicks, and processes inside the business nobody has written down publicly yet. These beat generic idea-generator lists because nobody else can copy them.
Should I write blog post ideas as a list post or a deep dive?
Match the format to the intent. How-to and data ideas usually work best as a focused deep dive on one problem. Comparison ideas can go either way. Listicles work well when the value is genuinely in breadth, like this one, not as a default format for every idea.