This interview is with Tim Hanson, Chief Marketing Officer at Penfriend.
Tim Hanson, Chief Marketing Officer, Penfriend
Can you introduce yourself and share a bit about your background in SEO, digital marketing, and content strategy?
I started off in structural engineering, believe it or not. I was a drafter who saw an opportunity to take the 3D models of buildings we were creating and turn them into client visuals. But seeing as the construction industry is run by dinosaurs, I wasn't allowed to leave my desk. So I pivoted to digital marketing as my escape route.
After a career setback where I lost my job and all my freelance clients (fun times!), I hustled through 28 interviews in 2 weeks and landed a junior growth hacker role at an agency. Over the next 3 years, I worked my way up to head of SEO, where I really started digging into what makes content actually perform versus what everyone says makes content perform.
The big revelation came when I realized traffic alone doesn't pay the bills. I used to go hard on "more traffic is best" logic, but then watched clients with massive traffic numbers still go broke. That shifted my entire approach to SEO and content strategy – start with bottom-of-funnel content that converts, then expand outward. This philosophy led me to create Penfriend, where we're using AI to scale quality content without sacrificing the human elements that actually drive conversions. The bank doesn't care about eyes; it cares about money.
What was the pivotal moment in your career that led you to specialize in SEO and content marketing, and how has your approach evolved since then?
The real pivot came when I watched a client burn through £100K on content from three different agencies. We managed to spike their search traffic to 200K/month for about three months, and then it crashed hard. The bank account was empty, and they had nothing sustainable to show for it. That's when I realized I was focusing on the wrong metrics entirely. Traffic doesn't mean shit if it doesn't convert.
My approach completely flipped after that. Instead of the standard "build a giant content pillar" approach, I started working backward. BoFu first – get those sales pages ranking for product comparisons and "best of" lists where people are ready to buy. Then MoFu content addressing specific problems. ToFu content comes last, not first.
The industry obsesses over vanity metrics, but I became obsessed with content that actually makes money. Quality over quantity, conversion over traffic, and a relentless focus on understanding what the searcher actually wants, not what Google says they want. It fucking works, too – we currently rank above massive websites for competitive terms with zero backlinking, just better content that actually serves the user's real intent.
You've mentioned using AI to create content clusters for clients. Can you walk us through this process and share a specific example of how it dramatically improved a client's organic traffic?
When I talk about content clusters, I'm not talking about the traditional "one big pillar with a bunch of supporting blogs" approach that every SEO guru preaches. Our process flips the script completely. We start by mapping the entire buyer journey, which means beginning with the bottom-of-funnel content where people are ready to purchase.
The first step is always the same: map out what the hell someone actually needs to know before they buy. We use Penfriend to break this down into a detailed content process, which involves way more than just throwing a prompt at ChatGPT and hoping for the best. We mapped out the entire process of what a human needs to do to write an excellent blog, and it ended up being 22 different prompts for different stages. The AI isn't writing a blog – it's helping with specific tasks within that process that a human would normally do, like research, outlining, and first drafts.
Here's a concrete example: We had a SaaS client in the project management space who was getting demolished by bigger competitors. Their traffic was stuck at around 15K visitors per month despite having 200+ blog posts. We audited their content and found they were ranking for a bunch of random top-of-funnel keywords with zero purchase intent. Complete waste of time. We created a content cluster focused entirely on "alternatives to [competitor products]" and "best [product category] for [specific use case]" – all bottom-funnel stuff where people are comparing solutions.
Within three months, their organic traffic hadn't increased dramatically – it was only up about 20% – but their demos jumped 300%. Why? Because the traffic was actually relevant. We created content clusters around specific pain points their product solved, not general industry topics. The AI helped us produce these detailed comparison pages in days instead of weeks, and we were able to cover every single competitor in their space. After six months, we'd built out enough topical authority that their traffic did start climbing significantly, eventually reaching 45K/month. But the real win was the 400% increase in organic leads. The bank doesn't care about traffic – it cares about conversions.
In your experience, how has the integration of AI in content creation changed the landscape of SEO, and what strategies have you developed to maintain quality while increasing quantity?
The biggest shift I've seen is that AI has completely democratized content creation while simultaneously making most content absolute garbage. Everyone's firing up ChatGPT, asking it to "write me a blog about X," and then wondering why their rankings are in the toilet. The majority of the problem with people using AI is they're asking it to do something they themselves don't know how to do properly. How the hell can you evaluate if the AI did a good job if you don't understand the process yourself?
My strategy has been process-first, AI second. We mapped out the entire content creation process and found a human needed to make at least 22 different decisions to write a great blog post. So we built a system of prompts for each of those steps – research, outlining, draft sections, transitions, examples, etc. – rather than one giant "write me a blog" prompt. This granular approach means AI handles the heavy lifting of first drafts while humans focus on the parts that matter: expertise, authenticity, and strategic decisions.
We're using AI as part of a process, not as a replacement for the entire process. The result? We can create 10x more content in the same timeframe without sacrificing quality. In fact, our content performs better because we're consistent in our approach. The future of SEO isn't just AI-generated content – it's AI-assisted human content where the technology handles the grunt work and humans add the value that actually makes readers (and Google) give a damn.
You've achieved impressive rankings without backlinks. Can you share your 22-step content creation process and explain how it helps in outperforming larger competitors?
Alright, this is the exact process that's let us dominate search results without playing the backlink game everyone else obsesses over.
First, let's be clear – there isn't some magical 22-step formula that works for everyone. What we did was map the entire human process of creating exceptional content, and we identified 22 critical decision points where expertise actually matters. The industry's full of people treating content like a factory assembly line, but quality content requires deep thinking at each stage.
Here's the broad framework we use:
1. Search Intent Mapping: We don't just look at basic intent categories like "informational" or "transactional." We developed a much more nuanced model that factors in where someone is in their journey, their expertise level, and their emotional state. This alone gives us a massive edge.
2. Competition Gap Analysis: Before writing a word, we analyze what's ranking and identify specific gaps. What questions aren't being answered? What perspectives are missing? What depth is lacking? Most competitors are just rewriting the same surface-level crap.
3. Content Structure Design: Based on intent and gaps, we design a structure that actually serves the reader better than anything else out there. The structure varies dramatically based on intent – a comparison page looks nothing like a how-to guide.
4. Expert Input Collection: For topics requiring true expertise, we have systematic interview processes to extract knowledge from subject-matter experts without wasting their time.
5. Research Compilation: This isn't just grabbing stats – it's finding the insights that actually matter to the reader and organizing them in a way that builds a coherent argument.
6. First Draft Creation: This is where AI comes in – we use Penfriend to generate initial sections based on our detailed outlines and research.
7. Expert Refinement: A human expert reviews and refines the draft, adding nuance, examples, and authenticity that AI simply can't match.
8. User Experience Enhancement: We systematically improve readability, add helpful formatting, custom visuals, and interactive elements where appropriate.
9. Intent Validation: We check if the final piece actually addresses the intended search intent better than competing content.
10. Technical Optimization: On-page SEO elements like schema, internal linking, and technical structure – but this comes AFTER we've nailed the content itself.
The other 12 steps get increasingly granular.
How do you balance the need for content that ranks well in AI-first search landscapes while still converting human readers? Can you provide an example of a successful piece you've created?
The AI-first search landscape has completely changed what we optimize for, but here's the crucial insight: AI changes discovery, not purchasing decisions. People find with AI but still buy from humans.
For top-of-funnel queries, I accept AI will summarize content. I structure these pieces to be easily parsed by AI while ensuring the brand gets mentioned. But I don't chase traffic that won't convert.
Mid- and bottom-funnel content is where the magic happens. Here, I focus on elements AI can't replicate – personal experiences, nuanced comparisons, authentic opinions, and emotional triggers. These need enough SEO to rank but succeed based on conversion rates.
Example: For a SaaS client, we created a "decision matrix" comparing them against competitors. Instead of feature-dumping, we:
• Led with specific use cases and ideal customer profiles
• Included real customer switching stories
• Addressed emotional factors like implementation anxiety
• Ended with scenario-based recommendations
This ranked #2 for "[Competitor] alternatives" but more importantly converted at 14% versus the industry's 2-3%.
In an AI world, be more structured for algorithms and more human for conversion. Generic middle-ground content is dead.
You've mentioned a shift from clients asking for 'SEO services' to 'revenue growth through search.' How has this changed your approach to client strategies, and can you share a case study of this in action?
This shift changed everything about how I approach client work. When you're focused on "SEO services," you're optimizing for rankings and traffic – vanity metrics that look great in reports but don't necessarily pay bills. When you switch to "revenue growth through search," you're forced to understand the client's business model, margins, and customer journey before touching a single keyword.
My approach now starts with conversion paths, not content calendars. I audit existing pages that generate revenue first, optimize those, then work backward from there. I've completely flipped the traditional content pyramid – we start with BoFu (comparison pages, alternative pages, review content), then MoFu (solution-focused content), and only then tackle ToFu awareness content.
I can share this case study with you: We worked with a B2B SaaS company that had invested heavily in SEO, generating 50K+ monthly visitors but only 10-15 leads per month. Instead of adding more traffic, we analyzed their conversion paths and found most visitors were hitting informational content with no clear next steps.
We prioritized creating comparison pages targeting their competitors' names (which they'd avoided because of "low search volume"), optimized product pages for actual purchase-intent keywords, and added strategic CTAs to their highest-traffic pages. Within three months, traffic actually decreased slightly to 45K monthly visitors, but leads jumped to 65+ per month, resulting in a 4x increase in revenue from search – all without a single new backlink campaign. The client finally understood that traffic without intent is just an expensive vanity metric.
With your experience in web design and conversion optimization, what are some often-overlooked elements that can significantly impact conversion rates? Can you share a before-and-after scenario?
Most people obsess over the wrong things when it comes to conversion optimization. They tinker with button colors and headline fonts when the real issues are deeper. The most overlooked elements are the ones that address the psychological barriers to conversion.
First, misaligned message-to-market match. When someone clicks from search to your site, there's a specific problem they're trying to solve. If your landing page doesn't immediately confirm they're in the right place, they bounce. I've seen conversion rates double simply by mirroring the exact language from the search query in the first headline.
Second, friction in the decision-making process. Most sites bombard visitors with every feature and benefit at once, creating cognitive overload. Breaking down complex decisions into a series of smaller, easier choices drastically improves conversion.
Third, lack of social proof specificity. Generic testimonials do almost nothing. Testimonials that address specific objections from similar customer profiles are conversion gold.
A quick before-and-after: We worked with a SaaS client whose demo request page had a miserable 1.2% conversion rate. The page was beautiful – slick design, animations, all the bells and whistles – but it was failing spectacularly.
The before: A generic headline about "revolutionizing your workflow," a long form asking for company size and budget upfront, and vague testimonials from unknown companies.
The after: We replaced the headline with "See how [Product] can reduce your reporting time by 62%," simplified the form to just name and email (moving qualification questions post-conversion), and added three specific testimonials addressing the top customer objections we identified through surveys.
Conversion rate jumped to 8.7% within two weeks. Nothing changed about the product, price, or market – we just removed the psychological barriers standing between interest and action. The beautiful design was actually getting in the way of the conversion by distracting from the core value proposition and creating unnecessary friction in the decision process.
Looking ahead, what do you predict will be the next big shift in SEO and content marketing, and how are you preparing your strategies and clients for this change?
The biggest shift we're already seeing is the complete bifurcation of search. AI is eating the top of the funnel, and traditional organic results are becoming secondary for informational queries. Those AI overviews are replacing featured snippets, and they're pulling from multiple sources rather than just one winner-takes-all result.
What this means is that SEO is splitting into two entirely different disciplines: AI optimization and human conversion optimization. For informational queries, success will be measured by whether your content gets cited or mentioned in AI overviews, not whether you rank #1 organically. For transactional queries, the human element becomes even more crucial because people still want to buy from people, not algorithms.
I'm preparing clients for this shift in several ways:
First, we're restructuring content to be more "AI-digestible" – using clearer headings, more structured data, and explicit answer formats that make it easy for AI systems to extract and attribute information. The goal is to be the source that AI systems rely on, even if direct traffic decreases.
Second, we're doubling down on subject matter expertise and original research. AI can remix existing information, but it can't create new insights or primary data. Creating original, citable content is becoming the ultimate SEO strategy.
Third, we're building much stronger brand signals throughout content. As direct attribution becomes more important for getting mentioned in AI responses, having a distinct voice and recognizable expertise matters more than ever.
Fourth, we're developing hybrid content strategies where top-funnel content serves AI systems while mid- and bottom-funnel content focuses on human psychology and conversion. The metrics for success are completely different for each.
Finally, we're investing heavily in owned audiences and direct relationships. As search becomes more mediated by AI, having direct connections to your audience through email, communities, and other owned channels becomes essential insurance against algorithm changes.
The companies that will win aren't the ones optimizing for yesterday's SEO tactics – they're the ones rebuilding their entire digital strategy around this new reality where AI is the gatekeeper to attention but humans are still the gatekeepers to conversion. The game has fundamentally changed, and most brands are still playing by the old rules while wondering why their traffic is sliding.
Thanks for sharing your knowledge and expertise. Is there anything else you'd like to add?
The biggest thing I want people to take away is that the fundamentals still matter more than the hacks. In an industry obsessed with shortcuts and tricks, doing the right thing has become the controversial approach. Focus on making genuinely helpful content that addresses real user needs better than anyone else, and the rankings will follow.
Never have SEO be the core reason you make any content changes. It's okay if it's the second rule, but it's not okay if it's the first rule. Create for humans first, algorithms second. That philosophy has made our clients millions while competitors chase algorithm updates and wonder why their traffic doesn't convert. At the end of the day, all the traffic in the world means nothing if it doesn't drive revenue. The bank doesn't care about impressions; it cares about deposits.
One last prediction: AI agents are the next massive shift coming to search. We're moving from people searching for information to AI agents completing entire tasks on our behalf. This won't just change SEO – it'll completely reinvent it. The businesses that survive will be the ones that figure out how to get their solutions recommended by AI agents, not just how to rank for keywords.