Arjun Kapoor

I came into content strategy from journalism, which means I learned early that the first draft is never the point — the edit is. Eight years later I run content strategy at TML, covering long-form SEO content, B2B thought leadership, editorial calendar planning, and content audits for clients who've accumulated years of underperforming pages. I've built AI-augmented editorial workflows that let small teams produce research-backed content at scale without losing the voice that makes a brand distinctive. My rule is simple: write for the reader, optimise for the engine, and never confuse the two jobs. Arjun’s published work centres on content strategy, SEO writing, B2B thought leadership, editorial planning, and audits of underperforming content. Those topics support the role listed in the author data: a content strategy lead who connects a reader’s question with a useful page and a realistic editorial workflow. The profile does not claim degrees, awards, or outside employers that are not present in the source record. Instead, it explains what the published work demonstrates: research-backed briefs, clear intent matching, editing that protects the reader’s time, and practical use of AI-assisted workflows without losing a distinctive brand voice. The linked articles let readers inspect that standard directly. They also show why an editorial audit should look beyond word count: a page needs a clear audience, evidence, structure, internal links, and a next step that fits the question being asked. In practical terms, the author page should help a reader decide whether the article is relevant to a current problem. It identifies the subject covered, links to the published source, and describes the limits of what can be inferred from that source. A byline is not a substitute for evidence, and the profile does not imply that every author personally delivered every result mentioned elsewhere on the site. The useful signal is consistency: the same questions appear across the author’s articles and the role recorded in the data. For teams planning a project, that means using the linked guidance as a starting point for review, then checking the recommendation against their own analytics, customers, constraints, and legal obligations. TML can update the page when the author’s remit or published work changes, keeping the profile aligned with the public record rather than filling gaps with invented biography. The page also distinguishes observed experience from general editorial advice, so readers can see which statements come from the author record and which come from a linked article.