AI for marketers
Marketing is where AI shows up most visibly — and where it most easily produces forgettable output. The marketers winning aren't generating MORE content. They're using AI to do the boring connective work (variants, repurposing, first drafts) so they can spend more time on the few pieces that actually matter.
~/.claude/skills/What AI handles well
First-draft blog post from outline
The problem. You have an outline and a deadline. The blank page is where the time goes — not the editing.
What AI does. Feed AI the outline + your brand voice samples. Get a first draft in 5 minutes. Then edit ruthlessly. The 80% that AI writes is the part you don't mind. The 20% you write is what makes it sound human.
Social repurposing (one piece → many)
The problem. You wrote a 1500-word blog post. You want a LinkedIn post, a Twitter thread, a newsletter snippet, and a video script. Doing them all manually = 4x the work.
What AI does. Use AI to extract distinct angles from the same source. The thread isn't a summary — it's the post reframed for that platform's context.
Brand voice consistency at scale
The problem. Your team is growing. New writers don't fully match your brand voice. The output drifts toward generic.
What AI does. Distill your brand voice into a guidelines doc using AI on your best existing samples. Use it as a system prompt for any AI-assisted writing. Audit drafts against it.
A/B variants for emails / ads / headlines
The problem. You need 5 subject line variants. You write 2, get stuck, and ship one without testing.
What AI does. Generate 8-12 variants across different angles (curiosity, urgency, identity, outcome). Test 3 of them. Most variants will be bad — the variance is the point.
Hot-take generation from data
The problem. You ran a survey or analyzed product usage data. You have insights but they're trapped in a spreadsheet. Your audience won't read a 2000-word data dump.
What AI does. Have AI extract the 3 most counterintuitive insights, then write a hot-take piece (LinkedIn, blog, talk) anchored on those. Lead with the surprising stat, end with the implication.
Competitive content audit
The problem. Your competitor just published 5 case studies and an industry report. You need to understand what they're saying, what gaps exist, and how to position yourselves differently.
What AI does. Paste competitor content into AI. Ask it to identify the unspoken claims, the customer pain points referenced, and what they're NOT saying that you could own.
SEO keyword expansion
The problem. You have 3 target keywords. You need 30. Tools spit out lists but they're full of irrelevant variants.
What AI does. Use AI to expand each keyword into 10 variations grouped by user intent (research vs comparison vs purchase) so you can plan content per stage of the funnel.
Image generation prompts that work
The problem. You need hero images, social graphics, blog headers. Generic prompts give you stock-photo-feeling AI slop.
What AI does. Build prompts with style anchors (specific photographers, art movements, lighting). Iterate on a few before committing. Keep a swipe file of prompts that worked.
Your AI stack
Start with the foundation. Add specialized tools as the work calls for them.
Foundation LLM
Specialized add-ons
Prompts ready to use
Get started in 30 minutes
Pick a foundation LLM and create a brand voice project
10 minSet up Claude Project or ChatGPT Custom GPT with: 5 of your best brand-aligned samples, your style guide, and a "what we DON'T do" list. Now every draft starts pre-loaded.
Run the brand voice extraction prompt
10 minUse the "Extract brand voice from samples" prompt with your best content. Save the resulting voice doc — use it as system context going forward.
Repurpose your last published piece into 3 social variants
10 minTake a recent blog post or newsletter. Use the Twitter thread prompt to get a thread, then ask for a LinkedIn variant, then a newsletter teaser. Notice the difference vs generic summaries.
Common mistakes
Using AI for the parts you should be doing yourself. Headlines, lead paragraphs, and the actual angle of a piece — these are where YOU should add value, not the AI.
Generating 50 variants and shipping 50. The point of variants is to TEST 2-3 and pick a winner. Not to flood the channel.
Skipping the brand voice setup. Without your voice loaded, AI defaults to generic marketing-speak. "Empower," "leverage," "transform" — that's the smell of a missing brand voice doc.
Trusting AI to fact-check itself. AI hallucinates statistics, misattributes quotes, and invents citations. If you're publishing it, verify it.
Optimizing for content volume not signal. If you're shipping 3x more content but engagement is flat, you're cluttering your audience's feed without building anything.