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Most marketing teams have built their AI stack opportunistically through a free trial here, a team member's recommendation there, a vendor demo at a conference that turned into a subscription nobody canceled.

Two years later, you've got 12 tools, three of them doing the same job, and a workflow that's more manual than it should be because none of them talk to each other.

The conversation in marketing circles now is almost entirely about which AI tools to add, but for most teams, the more pressing problem is what's cluttering their AI stack.

In this issue, we’ll walk you through a four-phase framework for auditing your current AI setup: mapping what you have, evaluating what's worth keeping, cutting what's redundant or orphaned, and filling the gaps that are quietly costing you performance.

Let's go! 🚀

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The average B2B marketing team now pays for 12 to 15 software tools, with AI-specific subscriptions making up a growing portion of that number. The problem is that most of those tools were added reactively without any review. 

The audit framework below works in four phases: map, evaluate, cut, and build.

Before you evaluate any individual tool, you need to know what jobs your marketing operation requires.

Start by listing every AI tool your team currently has access to: paid, free-tier, and trial. Include the tools individuals use on their own accounts that feed into team output. Then, for each tool, answer three questions:

Next, build a use-case map.

The core use cases for most marketing teams fall into eight categories: content creation, content editing and QA, SEO and search visibility, paid media optimization, email and CRM personalization, analytics and reporting, social media management, and customer research. Map each tool you have to one or more of these categories.

What you'll likely find: several categories are over-served (you have four tools touching content creation), and at least two categories have nothing assigned to them at all.

Once the map exists, run each tool through a simple three-question evaluation:

Does it do its job better than the alternative? This includes the alternative of doing the task manually or using a different tool you already own. If the answer is no or unclear, it's a candidate for removal.

Does it integrate with the tools around it? A content tool that doesn't connect to your CMS, your CRM, or your analytics platform means someone is manually moving outputs. Manual handoffs are where time and accuracy go to die. If a tool sits in isolation, the burden of proof for keeping it is high.

Does more than one person use it? Tools that only one team member uses often reflect personal preference rather than team need. That's not always a problem, but it should be a conscious decision, not a default.

Grammarly is a good example of a tool that survives this evaluation for most teams. It integrates directly into writing environments, it's used across the team, and it adds genuine value to output quality without requiring a separate workflow.

A standalone AI image generator that one designer logs into twice a month is the opposite: limited use, no integration, and features duplicated by tools the team already pays for.

"Redundant" means two or more tools doing the same job with no meaningful differentiation. "Orphaned" means a tool that nobody can point to a specific, recurring output for.

Redundancy is where the easy budget wins are. If your team has ChatGPT, Claude, and Jasper all in play for content drafting, that's almost certainly not a deliberate choice.

Pick the one that fits your workflow best and cancel the others. 

Orphaned tools are trickier because they often have a vocal advocate. The person who championed the tool will argue for keeping it, but the question is whether the team's current operation actually needs it. If removing it would require someone to change a behavior they currently have, keep it; if removing it would go unnoticed, cancel it.

After the cut, review the use-case map again and identify which categories have no assignments. For most teams, the most common gaps are:

When you fill a gap, the rule is: add one tool, confirm it integrates with at least two things you already use, and set a 90-day review date before treating it as permanent.

The goal is a stack where every tool has a clear job, connects to what's around it, and is used by more than one person.

A marketing team doing this well typically runs something like this: one primary LLM for drafting and research (Claude or ChatGPT), one SEO platform (Ahrefs or Semrush), one content workflow tool (Notion AI or monday.com), one email platform with built-in AI (Klaviyo, ActiveCampaign, or HubSpot), and one analytics layer. Five tools, with each one doing a distinct job and talking to one other. 

Use this prompt with your preferred LLM to run a structured AI stack audit for your marketing team.

The Scenario 

You are the Head of Marketing for a […] company with a team of […] people. Your team has accumulated AI tools over the past two years across content, SEO, email, and reporting. You want to audit what you have, identify redundancies, and build a more intentional setup.

The Prompt

"I need to run an AI marketing stack audit. I'll share my current tools and how we use them. For each one, help me evaluate and decide whether to keep, cut, or replace it. Then identify which core marketing use cases we have no tool coverage for. Finally, recommend a lean, integrated stack based on what we should keep and what we're missing.

Current Situation:

Questions:

These are the most popular AI tools we use at Rise Up Media. If you're not using them already, they're worth a look.

Full disclosure: some links above are affiliate links. If you sign up, we'll earn a small commission at no extra cost to you.

The more useful question in this stack is what you already have and whether it's working. Teams with a mapped stack against actual use cases, cut what didn't pull weight, and build integrations between what remained.

An audit isn't a one-time fix. The stack will grow again, new tools will appear, new team members will bring preferences, and new use cases will emerge. The discipline is in building a review habit.

Until next time, keep exploring the horizon. 🌅

Alex Lielacher

P.S. If you want your brand to show up in Google AI Mode, ChatGPT, and Perplexity, reach out to my agency, Rise Up Media. That's what we do.