SEO & Content
Growth Framework.
I edit content to make it genuinely useful and engineer prompts to prevent bad drafts. I amplify published work without relying on paid media. This page explains the thinking behind each of those three moves.
I cut before I polish
When I receive an AI-generated draft, my first instinct is subtraction. Most AI content fails because it is empty. It describes what it will say before saying it. It uses transition words as structural scaffolding instead of letting the logic carry the reader forward.
Google's Helpful Content system penalises this pattern. The signal it looks for is whether the content would exist if there were no search engine to rank it. If the answer is no, the page loses.
My editing process removes clichés, passive constructions, filler sentences, anything that restates the heading in prose form. Then I add perspective. They argue for a specific order and give the reader a reason to trust the instruction before they follow it.
Cut the scaffolding
Remove every sentence that tells the reader what they are about to read. Lead with the information.
Specific beats comprehensive
I replace vague advice with concrete example and actions the reader can execute today.
Active voice as default
Passive voice hides the actor and softens the instruction. I rewrite every passive construction.
Perspective over information
I make sure every edited piece argues for something, not just describes it.
I prevent the bad draft rather than fix it
A well-engineered prompt costs ten minutes. Editing a poorly-generated draft costs hours.
I translate the SEO brief into constraints the model can actually follow. Primary keyword, audience definition, intent signal, voice rules, forbidden phrases, structure requirements. The model should not have to infer any of these from the topic alone.
I always generate the structure first and approve it before the model writes a body copy. This one step eliminates the most common failure mode in AI content.
System prompt define the role and constraints
Set the expert persona and all non-negotiable voice rules. This prevents the default "helpful assistant" tone.
SEO brief prompt feed every parameter explicitly
Primary keyword, audience frustration, search intent, secondary terms, placement rules. The model works with what I give it.
Structure prompt outline first, body second
I request the H1 and H2 structure only. I review and approve it.
Draft prompt one section at a time
I generate each section independently with a word count constraint and a tone check. Quality holds more consistently in short focused passes than in a single long generation.
Publishing is the beginning
An article that no one links to and no one shares stays invisible, regardless of how well it is optimised. Organic amplification is the work that happens after the publish button.
I prioritise three moves in the first weeks after a piece goes live. Each one targets a different mechanism: community distribution for immediate referral traffic, editorial outreach for link equity, and social repurposing for audience reach. Together they build the authority signal that accelerates the article's climb in search results.
Every tactic I use is specific to the content. I find the exact thread, the exact newsletter, the exact community where the article's audience already spends time.
Community thread targeting
I find live threads where the article's target audience asks exactly the question the content answers. I write a complete, useful reply in the thread itself. The link comes at the end, only when it adds something the comment cannot.
Newsletter and editorial outreach
I identify newsletters with an engaged audience in the article's niche and pitch the piece as a resource for their readers. Every pitch is personalised to a specific issue they published.
Platform-native content repurposing
I extract the article's three to five most actionable points and rebuild them as a native post on the platform where the audience lives. A LinkedIn document carousel, a Twitter thread, a short-form video script. The format depends on where attention already exists. Each piece drives back to the original article and builds the topical signal that tells Google this content matters.
The industry changes the topic. The method stays the same. What I bring to every engagement is a process that produces content worth reading, prompts that prevent wasted drafts, and a distribution plan that gives the work a real chance to land.
