Quick Answer
The complete AI marketing stack for digital marketers in 2026 is not about having the most tools. It is about having one engine that holds the full context of your brand and letting everything else execute around it. Our stack runs on Claude Max at the centre, with Marky AI for social, Screpy for SEO monitoring, Klaviyo for email, and Google AI Studio for research. The order you use them matters as much as the tools themselves.
Who this is for: Digital marketers running content, social, email, and development who are spending more time managing tools than producing output.
For two years, I tested every AI tool that launched: new model releases, new writing assistants, new SEO platforms, new social schedulers. At one point, I had seven browser tabs open, and I was still three articles behind.
The problem was never the tools. It was that I had no system. Each tool did one job. None of them knew what the others were doing. Every piece of content required me to be the bridge between all of them, and that bridging was where all the time went.
When I moved everything onto Claude Max and built the stack outward from there, the output increased and the hours dropped. Not because I found better tools. Because I stopped being the handoff.
Why does the tool at the centre of your stack matter more than the others?
Because the centre tool is the one that holds context. It knows your brand voice, your audience, your keyword targets, your content structure, and your output format. Every other tool executes a specific task. The centre tool thinks.
Claude Max does this through Projects and Skills. The brand voice guide, avatar profiles, keyword list, content calendar, and six skill files all live inside one Project. Claude reads every one of them before producing any output. We do not brief it per session. It is permanently briefed.
That is the practical difference between a tool and an engine. Tools wait for instructions every time. An engine already knows what it is doing.
The complete stack: tool, job, and why it stays
| Tool | Job in the stack | Why it stays |
|---|---|---|
| Claude Max | Content, design, dev, research | Projects and Skills hold full brand context permanently. Every output is on-brand without re-briefing. |
| Marky AI | Social scheduling and analytics | Tracks reach and engagement by post format. The data that showed our LinkedIn reach dropped 64% came directly from Marky. |
| Screpy AI | SEO monitoring and audits | Runs automated technical audits on every published URL. Flags issues before they affect rankings without manual scheduling. |
| Klaviyo | Email marketing and automation | Segmentation and flow automation at a depth simpler tools cannot match. Sequences run without touching them week to week. |
| Google AI Studio | Research and prompt testing | Gemini Ultra access for deep research before the article brief is written. Saves significant rewriting time later. |
| Antigravity | Full stack development | Now running entirely through Claude Code. Site builds, components, and fixes go to Claude first. Antigravity handles what Claude Code cannot. |
What does Claude Max do that makes it the right engine for this stack?
Four things changed when we moved to Max.
Projects with permanent file uploads. The entire HowToMarketer knowledge base lives in one Project. Brand voice, avatars, keywords, content calendar, six skill files. Claude reads all of it before every response. This is not a prompt. It is a standing brief that never expires and never needs repeating.
Artefacts and Design. Full interactive HTML, Gutenberg-ready blocks, data visualisations, and Canva design generation without leaving the conversation. The feature images, the comparison tables, the FAQ accordions, the schema code — all produced inside Claude and pasted directly into WordPress.
Claude Code for development. When a site component needs building or a bug needs fixing, it goes to Claude Code. The brand tokens, file structure, and design system are already in the Project. Claude does not need re-briefing on the codebase every session.
Extended context window. Longer articles, full document reviews, and multi-source research inputs without the session hitting a limit halfway through a pillar article.
Every one of these is a removed handoff. That is the only metric that matters when evaluating whether a tool upgrade is worth it.
What is the right order to run this stack for a content workflow?
Order matters more than most marketers realise. Use the right tool at the wrong stage and you create rework. This is the sequence we run for every article.
Research first in Google AI Studio. Gemini Ultra handles competitive research, People Also Ask data, and trending angle analysis before the article brief exists. Fifteen minutes here saves two hours of writing in the wrong direction.
Brief and write in Claude Max. The research goes into the Project conversation. Claude runs the keyword filter, maps the Before and After Grid, writes the full article using the skill file structure, and outputs every Gutenberg block ready to paste. One session, start to finish.
Publish directly from the Claude output. The HTML blocks, the FAQ accordion, JSON-LD schema, and all Yoast fields come out of Claude formatted and ready. No reformatting step.
Social posts into Marky. The Marky brief Claude produces at the end of every article session goes straight into Marky AI. LinkedIn, Instagram, X, and Facebook versions are scheduled in one upload.
SEO monitoring on Screpy. Every published URL goes into Screpy for automated technical monitoring. Issues get flagged before they affect rankings.
Research is published on social media to be monitored. Claude Max runs three of those five stages and coordinates the other two.
What did not work before we built this system?
Pepper Content showed us what content at scale looks like operationally, but the output lacked the first-person voice that makes articles rankable. Constant Contact hit its limits on segmentation within two months of serious email use, which is why Klaviyo replaced it. Gemini Ultra, on its own, without the Projects system, produced drafts that needed complete rewrites because it had no brand context between sessions.
The pattern across all of them was the same. Good tools. No system connecting them. Every output required a human to translate it into the next step.
The shift was not finding better tools. It was making Claude Max the place where everything gets coordinated before it goes anywhere else.
The bottom line
The complete AI marketing stack for digital marketers in 2026 is not about which tools you have. It is about whether one of them holds the full picture while the others execute. If you are still re-briefing every tool from scratch on every piece of content, you do not have a stack. You have a collection of tabs. Build the centre first, and the rest of the stack becomes significantly easier to run.
Want the full Claude Projects setup we use to run this stack?
Join the HowToMarketer email list and get the system prompt template, the skill file structure, and the exact workflow that takes an article from research to published Gutenberg blocks in one session.
→ howtomarketer.com/subscribeFrequently Asked Questions
✓ Do these first
Audit your current stack for handoffs before adding any new tool. List every step where you move information manually from one tool to another. Each one is a candidate for elimination. Solve the most frequent handoff first.
Build the Claude Project before you add anything else to the stack. System prompt, brand voice guide, avatar profile, and one skill file. Run one full article through it. That single session tells you more about what needs fixing than any planning document.
Research in Google AI Studio before writing in Claude. Gemini Ultra's research depth at the brief stage saves significant rewriting time. The order is not optional. Research first, produce second.
⚠ What breaks the system
Adding tools before the Claude Project is solid. Marky, Screpy, and Klaviyo all become more valuable once Claude is producing consistent output. Add them to a broken content workflow and they automate the inconsistency faster.
Using Claude outside the Project for production work. Opening a fresh Claude chat instead of working inside the Project means no context. The output sounds generic. Every production piece must go through the Project, not a new chat window.
Treating Klaviyo as a broadcast tool. The reason Klaviyo replaced Constant Contact in the stack is the segmentation depth and flow logic. Using it to send the same email to everyone is paying for capabilities that are sitting idle.
→ What you need to build this stack
Claude Max at claude.ai : Projects, Artifacts, Claude Code, and extended context. Start here. Everything else in the stack connects to what Claude produces.
Marky AI for social scheduling and performance tracking by post format. The reach data it produces by content type is what tells you which format the algorithm is currently rewarding.
Screpy AI for automated technical SEO monitoring. Set it up once on eve
