TL;DR: Question-based content strategy transforms how you create content by focusing on specific customer questions rather than broad keywords. Track recurring questions, write conversational answers, and let AI search match your content to precise queries.
Quick Answer
AI search ignores engagement metrics like views, comments, and shares
Content wins by answering specific questions, not ranking for broad keywords
Write the way people actually ask questions, not how they type keywords
Track recurring customer questions and turn them into focused content
Prioritise AI-optimised content over dual strategies to save time
What Changed in SEO
Question-based content strategy flipped everything I knew about SEO.
For 20 years, I taught clients to chase engagement metrics. Time on page. Bounce rate. Click-through rates. Then a YouTube video with minimal views ranked highly for AI searches by answering one specific question.
That’s when I realised: the questions your customers ask repeatedly are your content strategy. Not keywords. Not topics. Questions.
By traditional standards, this video should’ve been invisible. Hardly any views. No comments. Minimal watch time. But AI search didn’t care.
It asked one question: does this content answer what someone’s asking right now?
That’s it.
Bottom line: AI search threw out 20 years of SEO rules. Specificity beats popularity.
Why Traditional SEO Fails for AI Search
When I explain this to stressed business owners, I use a simple comparison.
At a networking event, you say “I help businesses with websites and SEO.” Broad. Generic. Safe.
But when someone rings asking “I’ve got a WordPress site and I’m trying to work out how to use AI tools to improve my SEO rankings,” you give them a specific answer. WordPress. AI tools. SEO. Not a general speech.
Traditional SEO optimised for the networking event. Ranking for “SEO services” or “website help.”
AI search optimises for the phone call. Specific question. Specific answer.
The numbers prove it. AI-sourced traffic jumped 527% year-over-year. ChatGPT results overlap just 12% with Google’s results.
Two different systems. Two different strategies.
Key insight: AI search matches conversational queries, not keywords. Write for how people talk, not how they type.
How to Find Questions Worth Answering
You’re not creating more content. You’re creating more focused content.
Look for questions that make you sigh. The “oh, here we go again” moments. Those are your repeaters.
A client tells me “I get asked about GST on digital products twice a week.” Worth creating content for.
Someone asks once about an obscure tax situation from 1987? One-off. Skip it.
The “AI SEO WordPress” combination worked because it had three specific elements. Not “SEO” (too broad). Not “WordPress SEO” (still general). “How do I use AI tools for SEO on WordPress sites.”
Narrow enough that there’s not a thousand pieces answering it. Common enough that people search for it.
Here’s your process:
Track questions for a month
If the same question comes up three or four times, create content
Use the exact words people say
If they ask “How much does it cost to…” write that, not “pricing” or “investment”
AI search matches their actual words.
Action step: Mine your emails and phone calls for recurring questions. Those are your content goldmine.
How to Write for AI Without Losing Expertise
I’m not dumbing down my expertise. I’m translating it.
Big difference.
Someone asks “Why isn’t my website showing up on Google?” They don’t want to hear about crawl budgets and indexation protocols.
They want: “Google hasn’t found your site yet because you haven’t told it to look. Here’s how to fix that.”
My technical knowledge makes the translation better. I understand what’s happening underneath. I strip away jargon without losing accuracy.
40 years of explaining technical concepts to non-technical business owners taught me to speak both languages.
When I write for AI search, I write how my clients talk to me.
They don’t say “I need to optimise my meta descriptions.”
They say “How do I make my website show up better in searches?”
So that’s what I write about.
Core principle: Translation preserves accuracy. Simplification loses it. Know the technical answer, then explain it like you’re talking to a friend.
Should You Run Dual Strategies
The “dual strategy” sounds smart. One approach for traditional search. Another for AI.
But in practice? A business owner in Timaru running a kitchen renovation company doesn’t have time.
They’re struggling to post on social media once a week.
Right now, I tell most small businesses: focus on AI search. That’s where momentum is. 77% of Americans use ChatGPT as a search engine. 24% turn to it before Google.
Here’s what works:
Get foundations right for traditional search. Homepage. Services page. About page. Optimise these the old way because that’s how people find you initially.
For ongoing content? Blogs. Videos. FAQs. Write for AI search. Answer specific questions conversationally.
That content might not rank well on Google immediately. But ChatGPT, Perplexity, and whatever comes next will pick it up.
Businesses trying to do both perfectly will struggle. Businesses knowing where to put limited time and energy will succeed.
Reality check: You don’t need dual strategies. You need to know what matters now and focus there.
Common Questions About AI Search Optimisation
How is AI search different from Google search?
Google ranks content based on engagement metrics, backlinks, and keyword optimisation. AI search matches specific conversational queries to precise answers. Popularity doesn’t matter. Relevance does.
Do I need to rewrite all my existing content for AI search?
No. Keep your core pages optimised for traditional search. Focus new content on answering specific questions conversationally. You’re not replacing everything, you’re adjusting your ongoing strategy.
What makes a question specific enough for AI search?
Look for qualifiers. “How do I do X in New Zealand?” or “What’s the best Y for small businesses?” or “How do I use Z with WordPress?” Three specific elements narrow it down without being too obscure.
How do I know if I’m being conversational enough?
Simple test: if a client rang and asked this question, would you answer exactly the way you’ve written it? If yes, you’re conversational. If you’re twisting language to fit queries, you’re engineering it.
Will this approach hurt my Google rankings?
Not necessarily. Google’s getting better at understanding natural language. Good, specific, conversational content often works reasonably well for both. The gap isn’t as wide as it seems.
How long should AI-optimised content be?
Long enough to answer the question properly. If someone asks “How long does a kitchen renovation take in Timaru?” and you answer it in 300 words, that’s enough. Don’t pad it to hit arbitrary word counts.
Should I still use keywords?
Use the exact words people say when asking questions. If they ask “How much does it cost to…” use those words. But don’t stuff keywords unnaturally. Write like you’re explaining to someone on the phone.
What if my industry is too technical for conversational content?
Translation, not simplification. You know the technical answer. Explain it in plain English without losing accuracy. Your expertise makes you better at translation because you understand what’s really happening.
Key Takeaways
AI search ignores traditional engagement metrics and prioritises specific, relevant answers to conversational queries
Mine your customer emails and phone calls for recurring questions, those are your best content opportunities
Write the way people actually ask questions, using their exact words instead of industry terminology
Focus on AI-optimised content for blogs and FAQs whilst keeping core pages optimised for traditional search
Translation preserves expertise whilst simplification loses it, explain technical concepts in plain English
Small businesses should prioritise AI search over dual strategies to avoid spreading resources too thin
Test your content by asking: would I answer this way if a client rang me? If yes, you’re on track
