Jake Ward (@jakezward)

I've been doing SEO for 10 years and I've just spent 2 weeks obsessing over the design of our new SaaS blog. I think I've finally cracked it. The perfect blog design for SEO, AI search and actually turning readers into customers. (I'm rolling it out on soon and I'll share the results) Here's how you can do the same: 1. Optimise the title and metadata Use a keyword-focused H1 that matches search intent. Make the topic clear and include accurate publication and update dates. 2. Establish credibility immediately Show who wrote and reviewed the article, their credentials and first-hand experience. Give readers a reason to trust it. 3. Present your solution above the fold If someone lands with a problem your product solves, why make them scroll to discover it? Show your solution immediately with a relevant offer and CTA. 4. Lead with key takeaways Summarise the most important information at the top. Use short, scannable bullet points that help readers find answers quickly and AI systems interpret your content. 5. Keep your CTA visible Add a sticky sidebar as readers scroll. Highlight your product's key benefits and make it easy to get started. 6. Structure content for SEO and AI search Use descriptive H2s and H3s, short paragraphs, bullets and internal links. Answer questions directly so readers and search engines can follow. 7. Use tables and original visuals Include comparison tables, original screenshots, diagrams and real examples. Give readers something useful they won't find in generic AI-generated articles. 8. Add contextual conversion opportunities Don't rely on one CTA. Introduce your product naturally where it's relevant, connecting each offer to the problem you're solving. 9. Back up your claims with evidence Use original research, real data, expert insights and credible sources. Don't just tell people something works, show them the evidence. 10. Finish with a strong conversion CTA Once someone's finished reading, give them a next step. Reinforce your product's benefits, add social proof and make it easy to convert. A few extra things: Add a table of contents for navigation, FAQs for related questions and related articles to keep readers exploring through internal links. And most importantly, measure the results. Not just rankings, traffic and AI citations, but actual signups, leads and revenue. There's no point getting 1,000s of visitors to your blog if none of them become customers. And there's no point having a beautiful, high-converting blog if nobody can find it. The goal is to get discovered AND convert. I've included the full visual cheatsheet below: (Feel free to steal the design for your own site)

Reddit is disappearing from ChatGPT citations right now, but I honestly think everyone is focusing on the wrong part of the story: Reddit isn't what matters most here. Because something much bigger seems to have changed in how ChatGPT searches. 8 August: ChatGPT started citing Reddit less. 14 August: Basically stopped citing Reddit at all. But at almost exactly the same time, ChatGPT’s query fan-outs started changing too. It began using way more specific searches like: > site:ibm .com > ibm official pricing > ibm docs [feature] Which suggests ChatGPT is doing less: search the web > see what ranks > cite it And more: choose where to search > search those sites or brands > build the answer But Reddit isn't the only thing changing, another dataset found that it’s the entire citation mix: > Reddit: 15% → 0% > review sites/forums: 7% → 0% > smaller company sites: 66% → 32% While: > help centres/docs: 2% → 32% > established companies: 4% → 18% > app marketplaces: 2% → 17% This is the part I find most interesting. Is ChatGPT starting to decide which sources it trusts before it searches? Does that make the authority of the source more important than where an individual page ranks? And how long does any of this last? Because if AI search keeps proving one thing, it’s how quickly things change. Reddit looked incredibly important 2 weeks ago. In another 2 weeks, this could all look different again.