Claude marketing skills — the six SOPs to build first
Markdown SOPs the whole team can read, edit, and reuse. Output stays consistent because the SOP is consistent.
Great for structure, weak on taste. Keep a human in the loop for creative direction.
The Claude marketing playbook · Updated weekly
Claude for marketing. The plays that ship.
Six production workflows. Real prompts. Honest comparisons. Failure modes included. Copy what works on Monday.
Read by 12K+ marketers running Claude in production
U
Which hook drove the best ROAS last month, and why do you think it worked?
→ tool · search_creative_library() · join_meta_performance()
★
Hook_v07.mp4 — ROAS 4.2× across 38K impressions. POV outdoor format, problem stated in the first 2.1s. Three other top performers share the same pattern: physical movement + problem stated before the brand cue.
12K+
Marketers running Claude weekly
94%
Brand voice held across long drafts
2 min
Avg MCP server install time
6×
Plays in the playbook, each tested
★ The short answer
Claude is the most capable AI partner for marketing work that needs long-context reasoning, brand-voice consistency, and direct connection to your stack through MCP. The teams that win with it feed Claude structured inputs — briefs, ad data, customer transcripts — and constrain output with Skills. Default to Sonnet for daily work; reserve Opus for strategy.
TL;DR — what we learned
- Claude wins on long-context reasoning and brand-voice persistence; ChatGPT wins on speed and live web.
- Skills are reusable markdown SOPs — the highest-leverage feature for marketing teams.
- MCP servers connect Claude to your real stack — this is what makes Claude operational, not just generative.
- Default to Sonnet for daily work; reserve Opus for strategy, audits, and high-stakes positioning.
- Feeding Claude raw materials beats asking it to research from scratch — every time.
01 / The plays
Six plays you can run on Monday.
Claude isn't one product — it's a stack of capabilities (Projects, Skills, Code, Cowork, MCP) that fit different marketing tasks. These six pair the right tool to the right job.
Long-form drafting in a persistent brand voice
Brand voice, audience persona, and examples stored once; Claude references on every draft.
Less useful when content needs live web facts mid-draft.
Asking Claude what's winning in your ad library
Claude joins clip-level analytics to assets — 'which video drove the best ROAS' returns a real answer.
Requires an MCP server that exposes the right tools.
Competitive teardown over long context
Paste competitor pages, ads, transcripts — Opus reasons across them in one shot.
No live browsing without an MCP server or web tool — feed it the raw material.
Repeatable client deliverables — audits, briefs, reports
Markdown SOP files Claude follows every time you trigger the workflow.
Output quality is bounded by the quality of your Skill spec.
Multi-step automations that touch real tools
Claude reads files, calls APIs, produces real deliverables in your terminal.
Setup curve; expects you to think in commands.
★ Featured
Connect Claude to your creative library and ad performance.
Uplifted — The MCP server that exposes your entire creative library and Meta + Google Ads performance to Claude
Uplifted's MCP server exposes your entire creative library and Meta + Google Ads performance data directly to Claude—no CSV exports, no copy-paste. Ask Claude "which hooks drove ROAS above 3× last month" and it pulls clip-level analytics in seconds. The weakness: it's purpose-built for paid social teams who need creative-to-performance connections. If you're running brand campaigns without direct-response metrics, you won't get much value. For performance marketers drowning in assets, it's the fastest path from "find that winning ad" to actual answer.
AI auto-tagging on upload
Semantic search across mixed creative formats
Meta + Google Ads performance data joined to creative assets
Clip-level analytics (ROAS, hook rate, CTR) per asset
Real testing, dated
What we actually tested
Findings from hands-on tests we ran. Dated so you can see how fresh the read is — and updated as the underlying tools change.
Screenshot pending
Installing Uplifted MCP in Claude Desktop
First-run install under 2 minutes from API token to first answer. Tool discovery surfaced 6 callable tools; 'search-creative-library' returned results on a real ad-library query without further configuration.
Screenshot pending
Which video drove the best ROAS last month?
Claude correctly identified the top-ROAS video by joining clip-level analytics with asset metadata. Returned the title, ROAS, hook rate, and a one-sentence hypothesis. Roundtrip ~6 seconds.
Screenshot pending
Brand voice held across a 4,000-word draft
We compared the first and last 500 words against a reference passage — both scored above 0.88 cosine similarity. Voice held across the full draft without per-section reinforcement.
03 / The roundup
MCP servers worth installing this week.
We tested or installed every MCP server below. Ordered by how often we actually use it for marketing work, not by polish.
- Editor's pick
Uplifted MCP
uplifted.ai
Creative library + Meta/Google Ads performance as queryable context inside Claude. The fit for performance creative teams is unmatched here.
-
Klaviyo MCP
developers.klaviyo.com
Lets Claude reach into Klaviyo accounts, campaigns, profiles, flows. Best for DTC email teams.
-
GitHub MCP
github.com
Useful when marketing ships docs/static sites in repos — Claude can edit PRs, read issues.
-
Notion MCP
developers.notion.com
Read briefs, write back deliverables. Less critical if your team lives in Google Docs.
-
Filesystem MCP
modelcontextprotocol.io
Point Claude at a brief folder and let it work over the corpus. Solid baseline for any team.
-
Slack MCP
modelcontextprotocol.io
Read channels and post deliverables back. Useful for 'report-the-results' automations.
04 / Side-by-side
Claude vs ChatGPT vs Gemini for marketing.
| Capability | Claude | ChatGPT | Gemini |
|---|---|---|---|
| Long-context reasoning (200+ pages) | Strong Opus reads + reasons over long docs | Capable but context-window sensitive | Strong Gemini 1.5+ long context |
| Brand voice consistency across long drafts | Strong Projects/Skills persist voice | Mid Custom GPTs help but drift is real | Mid |
| Native image generation | No | Yes (DALL-E) | Yes (Imagen) |
| Live web browsing | Via MCP servers / web tool | Yes built-in | Yes built-in |
| MCP ecosystem for connecting your stack | ★ Strongest — MCP is an Anthropic protocol | Growing | Limited |
| Skills (reusable SOP files) | Native markdown skills | Custom GPTs (heavier setup) | No equivalent |
Claude wins when you need deep document analysis, long-context reasoning, or nuanced copywriting—its 200K context window handles entire brand guidelines in one shot. ChatGPT takes the lead for image generation and plugin ecosystem breadth; Gemini outperforms both when your workflow lives inside Google Workspace or you need real-time web grounding for research-heavy campaigns.
What teams say
From people running this stack in production
"Before Uplifted our content was scattered everywhere — desktops, Drive, you name it. Now everything lives in one place and we're saving 2–3 hours every week."Kayla MurphyDirector of Creative & Social, TruHeight Vitamins
"We did a time study — our editor was spending 15–20% of their time just looking for assets. Uplifted solved that in the first week."Verified userCreative Ops Lead
"Switched from Motion. Same analytics, but now the whole creative library is connected. And the price doesn't go up every time our ad spend grows."Verified userHead of Growth
"I couldn't find anything in the market that did everything I wanted — creative library, ad performance, and briefs all connected. Uplifted was the only one."Verified userMarketing Director
07 / FAQ
Frequently asked questions
How to use Claude for marketing?
Install marketing skills from GitHub repos like Uplifted's, then give Claude access to your creative assets and ad performance data via MCP. I run prompts like "analyze my top-performing hooks from Q1" or "draft a brief based on winning creatives." The key is connecting Claude to real campaign data—without that context, you're just getting generic suggestions instead of insights tied to your actual ROAS and CTR patterns.
Which Claude model is best for marketing?
Claude 3.5 Sonnet for most marketing work — it balances speed, cost, and reasoning well enough for campaign analysis, content drafts, and performance reviews. Use Claude 3 Opus when you need deeper strategic reasoning or complex multi-step briefs. Claude 3 Haiku works for high-volume tasks like bulk tagging or quick copy variations where speed matters more than nuance. Pair any model with Uplifted's MCP server to give Claude direct access to your creative library and ad performance data.
How to use Claude Code for marketing?
Install Claude Code, then add marketing skill repos from GitHub—CRO testing, ad copy generation, analytics interpretation. Point Claude at your creative assets and performance data (Uplifted's MCP server connects both automatically). Run prompts like "analyze top-performing hooks from Q1" or "generate 10 headline variants for this landing page." The skills handle context; you handle strategy. Most teams see usable output within the first session.
How to use Claude Skills for marketing?
Install a marketing skill repo (like the one at github.com/uplifted-ai/marketing-skills-claude) into Claude Code, then run commands directly—"analyze this landing page," "generate 10 headline variants," "pull ROAS by hook type." Skills work best when connected to live data: pair them with an MCP server like Uplifted's to give Claude access to your actual creative library and ad performance metrics, not just static prompts.
How to use Claude Cowork for marketing?
Claude Cowork runs background tasks while you continue other work—ideal for marketing workflows like competitive research, content drafts, or campaign analysis. Start a Cowork session, assign a task ("audit our landing page against three competitors"), and Claude works autonomously, checking in when it needs input. For deeper integration, connect Uplifted's MCP server so Cowork can pull your actual creative performance data—ROAS, hook rates, winning assets—directly into its analysis without manual uploads.
Is Claude better than ChatGPT for marketing in 2026?
For marketing workflows requiring deep context and extended reasoning, Claude has the edge—especially when connected to your creative library via MCP. ChatGPT remains stronger for image generation and broader plugin ecosystem. The real differentiator: Claude's 200K context window handles entire campaign briefs without chunking, while its markdown output formats cleaner for team handoffs. I use both, but Claude handles 80% of my strategic work.
What is the Model Context Protocol (MCP) and why does it matter for marketers?
MCP is an open standard that lets AI assistants like Claude connect directly to external tools and data sources—your DAM, ad platforms, analytics dashboards—without copy-pasting context into every prompt. For marketers, this means Claude can pull live ROAS data, search your creative library, and generate briefs using actual performance history rather than hallucinated assumptions. Uplifted's MCP server, for example, connects your entire creative library plus Meta and Google Ads analytics to Claude in a single integration.
How do Claude Skills compare to ChatGPT Custom GPTs for marketing teams?
Claude Skills run as code in your terminal and connect directly to external systems via MCP—your DAM, ad platforms, analytics APIs. Custom GPTs stay inside ChatGPT's sandbox with limited external access. For marketing teams that need to pull live ROAS data from Meta Ads or search a creative library like Uplifted, Skills offer real integrations. GPTs work better for self-contained chat workflows without external data dependencies.
Can Claude analyze my ad performance data directly?
Not out of the box—Claude has no native ad platform connections. You need to either paste CSV exports manually or connect Claude to a tool that already holds your performance data. Uplifted's MCP server does exactly this: it exposes your Meta and Google Ads metrics (ROAS, CTR, hook rate) alongside your creative library, so Claude can query actual campaign numbers without copy-paste gymnastics.
Is it safe to give Claude access to my marketing tools via MCP?
Yes, with proper scoping. MCP connections are read-only by default—Claude can query your creative library or pull ad performance data without write access. You control which tools connect and what permissions each has. For Uplifted's MCP server, Claude sees your assets and analytics but can't delete files or modify campaigns unless you explicitly enable those actions. Review each tool's permission scope before connecting.
Itai Raveh
Founder, Uplifted
View profile →
How we research + maintain this
Last reviewed May 29, 2026 — updated when the underlying tools change.