AV

1. Why I embarked on 3 months of writing about AI

When I decided to write weekly about AI for three months, the goal was not simply to produce content but to build a bridge between broad topical interest and concrete consulting outcomes. My ideal client profile (ICP) is mid-market executives exploring how AI fits into their operations, content functions, or advisory agendas. I knew that writing about AI in general would get some attention, but I wanted to go further: to use that writing as a mechanism to extract audience insights, shape content themes, and ultimately feed a consulting pipeline.
Writing on AI is not novel in 2025 — for example, 72 % of companies are using AI in at least one business function. My question: could I turn that macro trend into micro-attention, stronger engagement, and actual advisory conversations?

2. How I captured audience insights (data, patterns, feedback)

2.1 Segmenting the audience
To get real data I treated each post as a mini-experiment. I tagged responses, comments, email replies and inbound enquiries with attributes such as industry sector, company size, role, expressed problem. Over three months I identified six segments:

• C-suite execs in professional services
• Mid-level content/marketing leads in technology firms
• Product-owners in SaaS companies
• Operational leaders in manufacturing
• Consultants/solopreneurs exploring AI services
• Educators and trainers looking at AI adoption

2.2 Tracking behaviour and content response
I then mapped how each segment responded to each post: open rate, click rate, comments, inbound message rate. Two segments (marketing leads in tech SaaS, and consultants/solopreneurs) consistently generated ~70% of inbound interest despite being just ~40% of the total audience. That told me early: not all audience is equal for pipeline purposes.
Also I looked at which content themes were performing well, so I could allocate more effort to themes that yielded higher engagement and better leads.

3. What content themes emerged and what that tells us

Over the 12-week period I saw recurring themes appear—and rather than forcing new angles, I doubled down on what worked.

3.1 Theme 1: AI use-cases in business
Posts describing concrete applications (e.g., AI for customer-support, AI in content generation) got above-average engagement. For example, a recent report shows organisations using AI writing tools report a 59 % faster creation time and 77 % higher output volume. That statistic became a reference anchor in one of my posts—and the metric was cited in several inbound enquiries.

3.2 Theme 2: Ethics & governance of AI
When I wrote about responsible AI practices, governance frameworks, and how to embed ethics in workflows, the C-suite and consulting-audience responded. I linked this to the context that ~60 % of companies feel they haven’t embedded AI deeply into workflows — the risk side still matters.

3.3 Theme 3: Strategy & pipeline building
This is where the consulting-pipeline link kicks in. I discussed how content themes map to advisory topics, how to structure a consulting pipeline around client interest in AI. For example: “If you’re seeing X in your marketing team (content saturation, AI-tool noise), let’s talk about how to shape theme-to-topic to lead to advisory scope.”

3.4 Theme 4: Practical tools & implementation
Posts about tools, workflows, and integration (rather than pure theory) drew a different audience: practitioners who asked for hands-on workshops. The report that 91 % of businesses use at least one AI tech in 2025 illustrates the pervasiveness of implementation need.

3.5 Theme 5: Future outlook & readiness
Finally, forward-looking content (what next, what competencies you’ll need) helped me position myself as a strategic advisor, not just a writer. It sets the expectation that we aren’t just solving now—they’re preparing for what comes.

4. How these insights converted into a consulting pipeline

4.1 Lead generation via content
Each blog post included a call-to-action (CTA) offering a short advisory consultation (“Work with me”). By linking from content theme to advisory topic, I created a bridge: reader interested in “AI use-cases in content marketing” can schedule a call with me to map use-cases to their content strategy.

4.2 Qualifying leads & mapping to advisory offerings
I created a simple qualification matrix: does the lead have clear budget/time horizon? Are they looking for strategy (versus tactical)? Are they ready to work with an external advisor? These questions helped me avoid writing “just content” and move people into the pipeline. Of 12 discovery calls, 4 converted into advisory mandates (~33%), with contract sizes of USD 10k-30k.

4.3 Metrics & conversion lessons
Key lessons:

• Quality of inbound matters more than volume. The segments driving most inbound (marketing leads in tech, consultants) also had higher conversion.
• Content themes that lead to deeper questions (strategy, governance) generate better pipeline than “lifestyle” or “tool review” posts.
• Timing matters: a mid-cycle CTA (post-6 weeks) boosted conversion more than end-of-cycle only.
• Tracking how each article maps to lead behaviour is critical if you want to optimise consulting pipeline via content.

Key take-aways you can apply

Don’t assume your audience responds the same across segments. Tag and track segments.

Identify 3–5 content themes that align with both audience interest and your advisory offering. Focus content accordingly.

Build CTAs aligned with each theme—“If you’re exploring theme X, let’s map it to your advisory roadmap.”

Create a simple qualification process so you don’t end up in endless conversations.

Use metrics: content → engagement → inbound enquiry → conversion. Track each stage.

Be explicit: writing isn’t just thought leadership—it’s a pipeline asset when aligned to advisory outcomes.

Invitation: Work with me to turn your audience insights into advisory growth

If you’re an organisation or professional poised to convert content into consulting or advisory business, let’s work together. I’ll help you map audience insights, identify content themes, build your pipeline, and convert writing into revenue-generating advisory engagements. Work with me → Advisory.

Summary and next steps

In three months of writing about AI I tested audience segments, refined content themes, and built a modest consulting pipeline. The focus shifted from “write interesting stuff” to “write theme-aligned, audience-relevant content that feeds pipeline.” If you want to transform your content into a strategic advisory asset, now is the time. Reach out and let’s chart your path together.

FAQ

Q1: How often should I publish content if I want to build a consulting pipeline?
You don’t need daily posts. Consistency matters more than frequency. In my experience, one well-targeted post per week over 12 weeks allowed me to test themes and generate inbound at a conversion rate of ~33 %.
Q2: How do I select content themes that will support consulting pipeline rather than just brand awareness?
Look for overlap between what the audience asks, what your advisory offers, and what your unique expertise is. In my case that meant AI use-cases → governance → strategy → implementation. Then test and track which themes drive engagement and leads before scaling.
Q3: What metrics should I monitor to know if content is feeding pipeline?
Key metrics: content engagement (opens/clicks/comments), inbound enquiry rate from content, lead qualification rate (of those enquiries), conversion rate (from qualified lead to advisory). Track by segment and theme.
Q4: Is this approach only for consultants writing about AI or can it apply to other topics?
It absolutely applies to other topics. The method: identify audience segments, test content themes, map themes to consulting (or service) offerings, track conversion—is general. The subject matter could be AI, IoT, marketing strategy, sustainability—whatever your advisory domain.
Q5: What if I have low content production capacity?
Focus on quality and alignment rather than volume. One piece per week is sufficient if it speaks directly to a theme that intersects audience interest and your advisory offering. Use repurposing and amplification to extend reach.
Q6: How do I avoid writing content that “looks good” but doesn’t convert?
Embed CTAs aligned with advisory outcomes, and include qualification questions or next-step offers. Also review whether the theme is leading to questions around budgets and projects—not just likes. If not, pivot theme or segment.