40 Questions Content Strategists Should Ask Before Trusting AI
Your AI tools are fast at finding search volume and generating briefs, but they cannot see what your audience actually needs or what makes your brand different. Asking the right questions before you act on AI recommendations protects your editorial judgment and keeps your strategy from becoming a copy of what already exists.
These are suggestions. Use the ones that fit your situation.
Questions about search volume and keyword selection
1When Semrush AI recommends a keyword because of high search volume, does that volume come from people in your actual audience or from a different market entirely?
2Has the AI checked whether the top-ranking content for this keyword is from a competitor with more authority than you, making it unrealistic to rank?
3Does this keyword match what your audience actually types, or is the AI suggesting variations that are technically searchable but not what your people would use?
4If you rank for this keyword, will it bring readers who stay and engage, or will it bring bounce traffic that damages your site signal?
5Is the AI recommending this keyword because it detected a gap in search results, or because it found an easy win that dozens of other strategists have already taken?
6What search intent does this keyword represent, and does your brand have a genuine reason to answer it?
7Has the AI weighted long-tail variations that your audience might search for, or is it focused on the high-volume term that everyone competes for?
8Does this keyword fit your content programme narrative, or would you be chasing search volume at the cost of coherence?
9When the AI suggests a keyword cluster, how many of those keywords are actually related to each other, and how many are just grouped by algorithm?
10If you write content for this keyword recommendation, will it serve a reader who might buy or subscribe, or just a reader passing through?
Questions about AI content briefs and editorial direction
11When ChatGPT generates a content brief, are the story angles based on what your audience cares about or based on patterns in training data from generic content mills?
12Does the AI brief include your brand voice, or have you pasted in examples of your voice and watched the AI still produce something generic?
13Has the brief suggested an angle that your competitors are already covering, and is the AI recommending it because it is popular rather than because it is right for you?
14Are the talking points in the brief things you can actually say as a brand, or are they generic observations that could apply to any organisation in your sector?
15Does the brief include any original reporting, proprietary data, or unique perspective, or is it structured to aggregate existing information?
16When you read the AI brief, do you feel like a strategist making a choice or like a production manager executing a template?
17Has the AI recommended a content format because it performs well in search, regardless of whether that format is actually the best way to tell this story?
18Does the brief acknowledge where readers are in their journey with your brand, or does it treat all readers as strangers who need the same basic information?
19Are the structural recommendations in the brief (word count, heading density, list formatting) based on what your audience reads or on what AI training data associates with ranking?
20If you followed this brief exactly, would the resulting piece feel like it came from your publication or from a content network?
Questions about editorial strategy and audience behaviour
21When Notion AI suggests your next month of content topics, is it working from your audience strategy or from patterns in what performed well last month?
22Has the AI noticed which topics actually keep readers subscribed versus which topics just get clicks, or is it treating all page views as equivalent?
23If the AI recommends a content gap, does that gap represent something your audience is searching for or something that happens to be missing from your site?
24Are you following an editorial calendar built by AI because you tested it against your strategy, or because the calendar exists and is easy to execute?
25When Perplexity AI pulls together sources on a topic, is it finding the most credible sources or the most-linked sources in its training data?
26Has the AI identified any topics that your audience needs to hear from you specifically, or is it only showing you topics with high general search volume?
27If you publish the content your AI tools are recommending, will it build authority in the areas where your audience trusts you, or will it scatter your focus?
28Does the AI strategy account for seasonal changes in what your audience needs, or is it treating your audience as static across the year?
29Are content recommendations based on your audience's behaviour or on benchmarks from other publications that may not be your actual competitors?
30When you look at the AI-recommended strategy six months out, do you see a narrative progression or just a spreadsheet of popular topics?
Questions about AI outputs versus your editorial instinct
31When an AI tool recommends something that contradicts what you know about your audience, do you have permission to override it, or does hitting deadlines make it easier to go with the AI suggestion?
32Has your team gradually stopped pitching ideas that do not match the AI recommendations, even though some of those ideas were good?
33Can you articulate why you are choosing a piece of content? If the answer is only because the AI said to, that is a sign your judgment has stepped back.
34Are you using AI tools to strengthen decisions you have already made, or are you using them to replace the decision-making process?
35When the AI recommends something, do you ask why before you implement, or have you moved to a model where AI outputs are instructions rather than suggestions?
36Has your tone of voice shifted to match what AI tools produce, even though your brand voice used to be distinctive?
37If you stopped using AI tools for strategy this month, would your editorial calendar look significantly different, and would it be better or worse?
38Do you have editors or strategists with strong instincts about what your audience wants, and are you still listening to them or have you moved to pure AI-led planning?
39When the AI suggests a direction, do you test it against your brand strategy or do you assume the AI has already done that work?
40Can you name the last piece of content that succeeded because your team's judgment overrode what the metrics or AI recommended?
How to use these questions
Run an audit of your last three months of content. Flag pieces that ranked well. Then ask: did this rank because it was good or because the AI optimised it for a search pattern that does not reflect audience value? That gap is where your editorial judgment lives.
Before you accept a keyword recommendation from Semrush, check the search intent yourself. Type the keyword into Google and read the first three results. If they do not match what your brand actually offers, the AI found a statistic, not an opportunity.
When ChatGPT generates a brief, rewrite the lead in your brand voice without the AI seeing it. Compare your version to the AI version. If yours is more specific or takes a position, the AI brief was not capturing your voice.
Set a rule: no content goes into your calendar because the AI recommended it. Content goes in because it serves your audience strategy. The AI should be checking your strategy, not replacing it.
Ask your team this question monthly: What would our content strategy look like if we did not have access to AI tools? If you cannot answer it, your strategy has become reactive to what AI suggests rather than proactive about what your audience needs.