The AI Marketing Stack: What You Actually Need

The average marketing team uses 12-15 software tools. Most of them overlap, half go unused, and nobody can remember which login goes where.

The AI marketing stack should be lean. Five categories. One tool per category. Each tool earns its place by saving measurable time or producing measurable results.

The five categories

1. AI writing assistant

What it does: Drafts content, generates variations, edits for voice alignment.

What to look for: System prompt persistence (saves your voice document), long context window (can reference multiple examples), fast iteration (not one-output-per-prompt).

How to evaluate: Feed it your voice document and 5 examples of your best content. Ask it to write a LinkedIn post on a topic you know well. If the output sounds 70%+ like you with minimal editing, it is good enough.

2. Video and visual AI

What it does: Auto-captions, clip extraction from long-form, aspect ratio reformatting, thumbnail generation.

What to look for: Word-level caption accuracy (not just sentence-level), batch processing, multiple export formats for different platforms.

How to evaluate: Upload a 10-minute video and compare the auto-generated captions to a manual transcription. If accuracy is above 95%, it saves your editor hours per week.

3. Analytics AI

What it does: Analyses marketing data, identifies patterns, generates insights, answers natural-language questions about performance.

What to look for: Integration with your data sources (Google Analytics, ad platforms, CRM), ability to ask questions in plain English, visualisation capabilities.

How to evaluate: Feed it last month's campaign data and ask "What was our best-performing content topic and why?" If the answer is specific and actionable, it is useful.

4. Workflow automation

What it does: Connects tools, triggers actions based on events, automates multi-step processes.

What to look for: Visual workflow builder, integrations with your existing tools, ability to include AI steps within workflows, error handling.

How to evaluate: Build one workflow: "When a new blog post is published, reformat it for LinkedIn and schedule it." If you can build this in under 30 minutes, the tool is intuitive enough.

5. CRM with AI features

What it does: Manages leads, tracks pipeline, scores leads based on behaviour, automates follow-ups.

What to look for: Lead scoring that actually works (based on engagement data, not just demographics), automated task creation, integration with your email and calendar.

How to evaluate: Import your last 50 leads. Does the AI scoring correlate with which ones actually became clients? If yes, it is adding value.

The lean stack for different budgets

Bootstrap ($100-$300/month)

• AI writing: one subscription ($20-$50/month)
• Video: one tool for captions and clipping ($30-$50/month)
• Analytics: built-in platform analytics + AI for analysis ($0-$50/month)
• Automation: free tier of automation tool ($0)
• CRM: spreadsheet + email ($0)

Growth ($500-$1,500/month)

• AI writing: premium tier ($50-$100/month)
• Video: professional tool with batch processing ($50-$100/month)
• Analytics: dedicated analytics AI ($100-$200/month)
• Automation: paid tier with advanced workflows ($50-$200/month)
• CRM: proper CRM with AI features ($100-$300/month)

Scale ($2,000+/month or agency partner)

At this level, consider whether building your own stack or hiring a partner like Ignis makes more sense. We include all AI tools in our $10K/month retainer, which covers the full marketing function. No separate tool subscriptions for the client.

The rule of one

For each category, use one tool. Not three. One.

Multiple tools for the same job creates:

• Data fragmentation (insights spread across platforms)
• Context switching (time lost logging into different tools)
• Cost bloat (paying for overlapping features)
• Abandonment (nobody maintains three tools)

Pick the best tool for each category. Master it. Only switch if something is fundamentally better.

What you do not need

Social listening tools (unless you are an enterprise brand) Complex attribution platforms (ask customers how they found you) AI chatbots for your website (a contact form works better for most businesses) Separate scheduling tools per platform (one scheduling tool for all platforms) Content idea generators (your AI writing assistant does this)

Every unnecessary tool adds complexity without adding value. Keep the stack lean, master each tool, and let the efficiency compound.