AI can write anything you want.
It knows thousands of topics, pulls from millions of sources, and generates content faster than any human ever could.
But here’s what it doesn’t know: how you actually run your business.
It doesn’t know the specific process you use to deliver better results for clients. It doesn’t know the small details that make your service different from every competitor in your market. It doesn’t know what’s sitting in your head that’s never made it onto your website.
And if that information doesn’t exist online, AI can’t write about it.
This is the gap that separates authentic, expert-based content from the generic material flooding search results. Over 86% of marketers now edit AI-generated content specifically to add their human expertise, because they’ve realised generic AI content lacks the first-hand experience Google’s E-E-A-T framework rewards.
The solution isn’t to avoid AI. It’s to use it differently.
The Expertise Extraction Problem
Most businesses approach AI content creation backwards.
They open ChatGPT, type a prompt about their service, and expect quality output. What they get is information synthesised from what already exists online about their industry. It’s well-written, properly structured, and completely generic.
A questionnaire doesn’t solve this either.
When you send a client a form asking about their business, they’ll send back a small amount of information. The same information they’d put in a single message. But get them on the phone for an hour, and they’ll give you everything.
That’s the difference between static information gathering and conversational extraction.
An AI interview system conducts this extraction automatically. When a client mentions they do something a certain way, the AI asks them to elaborate. How specifically do they do that? What makes it better? What would a customer care about?
Elaborate, elaborate, elaborate.
The AI considers each response and identifies what’s worth exploring in greater depth. It prompts for specifics, examples, and details that help customers understand how the business provides its service and creates additional benefits.
This back-and-forth does what a prompt template cannot: it adapts to what the client reveals and digs deeper into what matters.
Building Your Core Business Information Repository
Before the interview process even begins, there’s a crucial setup phase.
The system ingests everything about the business: previous interviews, technical documentation, product information, values, processes, customer service approaches. All of it gets loaded into a repository of your core business information.
This repository shapes the authoritative content you create through the AI interview system.
Generic ChatGPT draws from general knowledge. Your core business information repository draws from your specific knowledge. It knows how you talk about your business, what you emphasise, what makes your approach different.
For busy business owners who don’t have time to muck around with prompts and technical configurations, this eliminates the friction. The AI interview system already understands their business through this repository. They just need to answer questions.
The interview extracts information from their head and puts it on screen without requiring any technical expertise.
From Interview To Content Ecosystem
Here’s where the methodology gets interesting.
The AI interview focuses on one main keyword and its related keywords. The client talks about the primary topic, but also touches on connected subtopics in the same conversation.
That single interview becomes the foundation for an entire content cluster.
First, the AI interview system transforms the conversation into a detailed, well-referenced authoritative blog post. This isn’t just transcribed conversation. The system takes the client’s expertise as the core, then pads it out with industry-specific general information and backs it up with authoritative references.
The client might state something as fact, but they don’t have time to hunt down citations. The AI finds those references and links to them.
More importantly, it makes the content readable and ensures it doesn’t sound like typical ChatGPT output. Because it’s drawing from your core business information repository, it maintains the client’s voice and style.
That authoritative post covers the main keyword and related keywords. But here’s where the strategy diverges into two systems.
Separately from the AI interview system, Boostable takes that authoritative content and generates seven to ten satellite posts. Each satellite post targets one specific related keyword that customers might also search for.
These satellite posts use your authoritative content as their foundation. Boostable’s system extracts the specific business information you’ve provided through the AI interview, then mixes it with generic AI content and external references to create useful content optimised for each keyword in the cluster.
This is what makes the difference. You get comprehensive content about what you do, built to rank for all the different keywords you want to target. Your competitors who aren’t using this strategy typically only have content about their main high-traffic keywords.
Even if they rank well for those few keywords—perhaps because they’ve been in the game longer—there are numerous other keywords left unaddressed. By using this strategy, you can rank for those overlooked terms with articles specifically generated to target them.
All the satellite posts interlink with each other. They all link back to the authority post. The AI decides the specific structure, but the pattern is straightforward: create a web of internal links that strengthens the entire cluster.
This is about doing the bestest and the mostest. Quickly building up a repository of information with articles specifically generated to rank for all those keywords. And the system keeps building your repository so you get found more quickly.
The Ranking Game: Existence vs Competitiveness
Most SEO advice focuses on backlinks.
Build more links. Get higher authority domains to link to you. Increase your domain rating.
Backlinks absolutely matter. But they’re the second stage of ranking, not the first.
If your content is about a particular topic and Google recognises it, you’re in the running to rank for that topic. The more competitive the keyword, the more proof Google needs that your content is better. That proof usually comes from backlinks, social shares, and other authority signals.
The more of those signals you have, the higher your content climbs.
But content must exist before it can rank higher.
You can have all the backlinks in the world pointing to your website. If your site doesn’t mention a particular keyword and provide useful information about that topic, those backlinks can’t help you rank for it.
The content can’t rank if it doesn’t exist.
This seems obvious, yet businesses constantly try to rank for keywords without creating dedicated content for them. Someone’s doing their SEO, they want to rank for certain terms, but when you check their site, there’s no page about that service.
They’re trying to rank content that doesn’t exist.
The Overlooked Keyword Strategy
Here’s where competitive advantage emerges.
Most businesses target the obvious keywords. Every arborist company tries to rank for “Tree Removal Melbourne.” Every one of them competes for “Tree Removal [Suburb]” for major suburbs.
But not many create content for specific service and location combinations that customers actually search for.
Take Aps Tree Removal as an example. They rank for tree removal in various suburbs. They rank for stump removal, hedge pruning, hedge trimming.
But search for any Melbourne suburb plus “yucca removal” or “bamboo removal,” and they dominate page one. Both in AI results and organic search results.
Why? Because competitors who specialise in yucca removal rank well for “Yucca Removal Melbourne.” They’ve probably built plenty of backlinks to that page. But they’re not mentioning specific suburbs.
Their page might mention a suburb name somewhere on the site. They might mention they do yucca removal. But Aps Tree Removal has dedicated pages specific to that service in that suburb.
When there’s no content competition for a keyword, it doesn’t matter how many backlinks competitors have. They can’t rank for it.
This is the power of the overlooked keyword strategy. Research shows that long-tail keywords convert at 36% on average, whilst even the best landing pages only convert at 11.45%. And 91.8% of all search queries are long-tail keywords.
Finding these opportunities requires systematic keyword research using commercial SEO databases. You evaluate keywords based on cost-per-click in Google Ads (to gauge value), difficulty rating from one to five, and relevance to your business.
You can’t target everything at once. You prioritise based on those factors, then create content clusters one theme at a time.
The AI interview covers the main keyword and related keywords in one conversation. This ensures that when Boostable creates the satellite posts, each one has authentic business information to build from, rather than being purely generic content.
The Conversion Layer
Getting people to your content is one thing. Converting them is another.
Long blog posts read well, but most people won’t read them for more than a minute or two unless the information directly solves their problem. They’re using the content as an entry point to evaluate whether you can help them.
That’s why conversion optimisation matters as much as ranking.
Interactive tools keep visitors engaged longer. A quote calculator or informational web app that gives rough pricing before they talk to someone provides value whilst signalling to Google that users are satisfied with what they found.
This improves rankings whilst actually helping customers.
Throughout the site, multiple contact points remain visible: call buttons, SMS options, quote forms. A floating menu ensures these are always accessible as visitors scroll. Sticky sidebar widgets with team photos and “Get a Free Quote” buttons follow them down the page.
The technical optimisation matters too. Fast loading times, clean design, large readable fonts. Embedded Google reviews provide social proof at a glance.
People come in through the blog post because they’re actively looking for help. If they want to contact you, they’ll see the option immediately.
The Social Media Extension
The content ecosystem doesn’t stop at blog posts.
The same AI system that conducts interviews and generates blog content also handles social media. But it works differently.
For social posts, you can simply click the microphone and talk about whatever idea you have. The AI won’t elaborate like it does for blog interviews. It takes that information, writes it up properly, and adapts it for different social networks.
Same core message, but tailored for each platform.
You can also use any previously created blog post as the base for a social post. The system summarises it in your own language and style, drawing from your core business information repository. You’ve already spoken extensively about the topic in the blog. There’s no need to recreate that content manually.
Read the blog summary, then record a quick one-minute video summarising your thoughts. Post that video alongside the social content.
A blog post is valuable. A social post linking to that blog is better. A social post with you looking directly at the camera, speaking to your audience in a personal way, is better still.
Why This Works When Generic AI Doesn’t
The methodology succeeds because it solves the fundamental problem with AI content: lack of specific expertise.
When HubSpot ran topic cluster experiments, they found that more interlinking led to better search engine placement. Backlinko’s SEO content cluster now ranks for over 29,000 keywords and drives more than 158,000 visitors monthly.
The strategy works because it combines three elements most approaches miss:
Authentic expertise. The authoritative content draws from what’s actually in the business owner’s head, not from generic industry knowledge. Boostable then uses this to create targeted satellite content that mixes your specific expertise with industry information.
Strategic keyword targeting. Instead of competing for obvious terms, it identifies overlooked opportunities where content doesn’t exist yet.
Systematic interlinking. The cluster structure signals topical authority to search engines whilst providing genuine value to readers.
Generic AI content fails because it lacks the first element. Traditional SEO often misses the second. And most content strategies ignore the third entirely.
The combination creates content that ranks because it deserves to rank. It exists when competitors’ content doesn’t. It targets keywords they’ve overlooked. It demonstrates expertise they can’t fake.
And it all starts with a 15-minute conversation.
The AI asks questions. The business owner answers. The system transforms those answers into an interconnected content ecosystem that addresses real customer needs whilst optimising for search visibility.
No mucking around with prompts. No technical configuration. No hours spent trying to explain your business to a generic AI system.
Just your expertise, extracted efficiently, and deployed strategically across the exact keywords your customers are actually searching for.
