Prioritising Blog Topics: A Simple Scoring Method

Short answer: to prioritise blog topics, score each idea on a few simple questions: how closely it connects to what you sell, whether people actually search for or ask about it, whether your site can realistically rank for it, and how much effort it will take. Give each a score from 1 to 3, weight business value highest, add the scores and write the top of the list first. Revisit the scores every quarter as your site and your data grow.

Most blogs do not suffer from a lack of ideas. They suffer from an unordered list of ideas. Keyword tools, customer questions, competitor articles and brainstorming sessions can easily produce a hundred topics, and without a way to rank them, the order ends up being decided by whatever feels interesting this week. That usually means some of the most valuable topics wait for months while easier or more fashionable ones get written.

A scoring method does not need to be sophisticated. It needs to be consistent, quick to apply and honest about your site’s situation. This article gives you one you can set up in a spreadsheet in an afternoon.

Why a scoring method beats gut feeling

Intuition is useful, but on its own it tends to favour a few predictable things: topics that are fun to write, topics with big search volume numbers, and topics competitors have just published. None of those are bad, but none of them is the same as “most likely to help the business”.

A simple scoring model helps in three ways:

• It forces you to consider every factor for every topic, not only the one that stands out.
• It makes decisions explainable. If someone asks why a topic is not being written, the score answers.
• It makes the plan easy to update. When something changes, such as a new product or better rankings, you change a score and the order updates itself.

The four scoring questions

Each question gets a score from 1 (low) to 3 (high). Keeping the scale small avoids false precision: you are sorting a list, not calculating a forecast.

1. Business value: does it connect to what you sell?

• 3: The topic is directly about a problem your product or service solves, and readers could reasonably become customers.
• 2: The topic is adjacent: your audience cares about it, and it is a natural step towards your offer.
• 1: Related to your field, but the reader is unlikely to need what you sell.

2. Demand: do people search for or ask about it?

• 3: Clear evidence of demand: meaningful search volume across the cluster of related queries, impressions in Search Console, or frequent customer questions.
• 2: Some evidence: low but steady search volume, questions that come up occasionally.
• 1: Little evidence beyond your own interest.

Look at the demand for the whole cluster of related queries, not just one phrase. Many small, specific questions can add up to more qualified readers than one broad term.

3. Ranking chance: can your site compete?

• 3: The current results include small sites, forum threads or thin articles, and your site already has related content.
• 2: A mix of strong and beatable results.
• 1: The results are dominated by very large brands, official sources or formats you cannot produce.

Judge this by looking at the actual search results, not only a tool’s difficulty number.

4. Effort: what will it take to do well?

• 3: You can write it from existing knowledge with modest research.
• 2: It needs some research, examples, screenshots or input from a colleague.
• 1: It needs original data, expert interviews, legal review or a lot of time.

Effort is scored in reverse on purpose: easier topics score higher. That keeps quick wins visible without letting them dominate, because business value carries more weight.

Where do the scores come from in practice? For business value, ask whoever talks to customers: sales, support or yourself if you do both. For demand, combine a keyword tool, Search Console queries and your inbox. For ranking chance, spend two minutes looking at the first page of results in a private browser window. For effort, the person who will write or review the article is the best judge. Scoring a topic this way takes a few minutes, and scoring a batch of twenty topics in one session is faster still, because you get calibrated after the first few.

Weighting and the final score

Not all four questions matter equally. A topic nobody would buy from after reading is rarely worth writing just because it is easy. A simple weighting that works for most business blogs is:

Adjust the weights to your situation. A new blog with no rankings might give ranking chance more weight, to build early traction. A company with a small sales team might weight business value even more heavily. The point is to decide the weights once, write them down, and apply them consistently.

A worked example

Imagine a small company that sells bookkeeping software to freelancers. Three ideas on its list:

• “How to send your first invoice as a freelancer.” Business value 3 (directly relevant), demand 3 (common question), ranking chance 2 (some strong competitors), effort 3 (they know this well). Score: 9 + 6 + 4 + 3 = 22.
• “The history of double-entry bookkeeping.” Business value 1, demand 2, ranking chance 1 (encyclopaedias dominate), effort 2. Score: 3 + 4 + 2 + 2 = 11.
• “Tax deadlines for freelancers in our country this year.” Business value 2, demand 3, ranking chance 1 (official sources dominate), effort 1 (needs careful legal checking and yearly updates). Score: 6 + 6 + 2 + 1 = 15.

The first topic clearly goes first. The third might still be worth writing later, perhaps as a short article that links to the official source, but not before the topics that score higher. The second is interesting but not a priority. These are illustrative scores, not data; your own judgement fills them in.

Bonus factors worth a point

Some considerations do not fit the four questions but can reasonably add a point to a topic’s total:

• It strengthens an existing cluster. A topic that fills a gap next to articles you already have helps internal linking and topical coverage.
• Sales or support ask for it. If customers keep asking the same question, an article saves time and supports sales conversations.
• It is timely. A change in regulations, a new product release or a seasonal peak may justify moving a topic up temporarily.
• It updates rather than creates. Improving an existing post that already ranks on page two is often faster and more effective than writing something new.

Keep bonus points limited, perhaps a maximum of two, so they break ties rather than overturn the main score.

Common prioritisation mistakes

• Letting search volume decide alone. A big number next to a topic that does not connect to your business is a distraction.
• Scoring by hope instead of evidence. Ranking chance should reflect what the results show today, not what you would like to be true.
• Ignoring effort. A plan full of topics that each need weeks of research will stall. Mix heavy and light topics.
• Never updating scores. As your site gains authority, ranking chances improve. As your product changes, business value shifts. Rescore regularly.
• Writing duplicates. Before scoring a topic, check that no existing article already covers the same search intent. Two posts on the same topic compete with each other.
• Over-engineering the model. Ten criteria with decimal weights take longer to fill in than to write the article. Four questions are enough.

Turning scores into a publishing plan

Once topics are scored, sort by total and work down the list, with a few practical adjustments:

1. Group by cluster. If three of the top ten topics belong to the same cluster, write them close together so they can link to each other from the start.
2. Balance effort. Alternate a demanding article with a couple of lighter ones to keep a steady publishing rhythm.
3. Schedule timely topics by date. Seasonal or deadline-related topics go into the calendar ahead of the moment they matter.
4. Review every quarter. Rescore the remaining list with fresh Search Console data and add new ideas that came up.

Keep the spreadsheet simple: topic, cluster, the four scores, bonus, total, status and target URL. It becomes both your plan and your record of why decisions were made.

How AI Blog Autopilot fits

AI Blog Autopilot lets you set topics with a weight, along with keywords, audience and tone, and plans the month’s articles from there. Your scoring sheet translates naturally into those weights: high-scoring themes get more articles, low-scoring ones fewer. On higher plans, topics can also be imported from Search Console, which feeds real demand into the plan. Credits reset monthly, so prioritisation decides which articles you get first. See how Autopilot plans your content.

Related reading

• A Content Strategy That Fits on One Page
• Planning a Quarter of Content in One Afternoon
• How to Find the Content Gaps Your Blog Has
• Keyword Clustering: Grouping Search Queries Into Articles

The bottom line

A list of blog ideas becomes a plan once it has an order. Score each topic on business value, demand, ranking chance and effort, weight business value highest, and write from the top. Adjust with a few bonus factors, group related topics, and rescore every quarter. It takes an afternoon to set up and saves months of writing the wrong things first.

FAQ

How do I decide which blog topic to write first?

Score each topic on how closely it connects to what you sell, how much evidence of demand there is, how realistic ranking is for your site and how much effort it takes. Weight business value highest, add up the scores and start with the highest total.

Should I prioritise topics with high search volume?

Only if they also connect to your business and you can realistically rank. High volume on its own is a weak reason to write. Specific topics with modest demand and strong business relevance often bring more valuable readers.

How often should I rescore my topic list?

Once a quarter is a good rhythm for most blogs. Rankings, products and customer questions change, and fresh Search Console data often reveals new demand or improved ranking chances.

Is it better to update old posts or write new ones?

Often updating comes first. An existing post that already ranks on page two can usually be improved faster than a new article can rank. Include update candidates in the same scoring list so they compete fairly with new topics.

How many criteria should a topic scoring model have?

Four core criteria are usually enough: business value, demand, ranking chance and effort, plus a small bonus for things like cluster fit or timeliness. More criteria add work without making the order much better.