Make AI part of your 2025 marketing strategy

Marketing Automation

How to make AI part of your 2025 marketing strategy

Take AI from a buzzword to a working part of your marketing strategy

Last updated

April 29, 2025

Read time

6 min

Written by

Lindsay Elswick

An image of people in a meeting roomhaving a meeting

Contents

Use browser-based AI tools to streamline your team’s day-to-day
Use AI-powered tools inside your CRM and automation platform
Make AI part of your team's strategy — not just your tech stack
What other teams are doing
Your next move: Start using AI where it counts

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Introduction

AI may no longer be the new kid on the block, but for many marketing teams, it’s still more buzzword than day-to-day reality.

While most teams have experimented with tools like ChatGPT or dabbled with AI-generated content, experimenting isn’t the same as building a strategy — and that’s the next step.

This article is designed to help you take AI from scattered experiments to something embedded in your daily marketing workflows. You’ll see how teams are using AI across content, creative, media and martech — and how to bring those ideas into your own systems in a way that actually sticks.

Use browser-based AI tools to streamline your team’s day-to-day

You don’t need a massive AI implementation to start seeing results. In fact, some of the most powerful marketing wins come from simple browser-based tools your team can use right now.

Here are just a few examples to get you started:

For content marketing teams:

Turn outlines or strategic notes into content like blog posts, emails or ad copy faster so your team can focus on editing and strategy — with tools like ChatGPT, Claude, Jasper and Copy.ai.
Summarize long-form content like articles, videos or transcripts to extract key insights or repurpose material — try Magai or Claude.
Generate SEO metadata such as keywords and meta descriptions for web pages — with help from SurferSEO or Copy.ai.

For creative and design teams:

Brainstorm visual concepts and layouts using prompts and brand guidelines — using tools like Midjourney and Canva.
Test early creative ideas for videos, animations or ads without a production crew — try Runway or Pika to mock up visual concepts.
Speed up asset production with templates that generate on-brand images, slides and social content — Canva is a go-to here.

For media and ad teams:

Write copy variations for A/B testing across platforms — use Jasper, Copy.ai or ChatGPT.
Summarize campaign performance to prep insights for your team — Claude or ChatGPT can handle reports and pull out patterns.
Research audience trends or competitor messaging quickly with smart prompts in ChatGPT or Magai.

For martech and marketing ops teams:

Plan and outline automation flows before building — use ChatGPT or Claude to map campaign logic or suggest improvements.
Generate snippets of code or formulas for form validation, UTMs, tagging logic and more — ChatGPT can write and explain simple code blocks.
Troubleshoot workflows or integrations with help from tools like Claude or Magai, which can summarize long documentation or guide setup steps.

These tools won’t replace your team — but they can eliminate bottlenecks and free your team up to focus on the work that moves the needle.

Use AI-powered tools inside your CRM and automation platform

Browser-based AI tools are great for writing content and brainstorming ideas — but they stop at the edges of your systems.

To unlock the next level of efficiency and personalization, you need AI built into the actual infrastructure your team uses every day: your CRM and automation platform.

Tools like Ontraport’s AI Assistant live directly inside your marketing workflows. That means they can access your contact data, reference past activity and automatically take action — all within your automations.

lightbulb_2Pro tip

Ontraport’s AI Assistant isn’t just a content tool — it’s a built-in automation element. That means it can take action based on your data, not just generate text. From tagging contacts to sending replies or scoring leads, it brings AI into the heart of your marketing systems.

Here’s what that looks like in practice:

Segment your audience with AI

Ontraport’s AI Assistant can analyze first names (even in other languages!) to determine likely gender or other characteristics — and update your CRM records accordingly. You can use this data to tailor your content and improve targeting without requiring perfect form fills.

Moderate comments and surface testimonials

If your business gets blog or video comments, AI Assistant can scan them as they come in — automatically flagging complaints, removing harmful content and highlighting positive feedback that could be turned into testimonials.

Write and publish long-form content in your voice

Need a sales letter or blog article written in your unique tone? AI Assistant can conduct an “interview” with you, learn your voice, and use that to write and publish fully personalized content — no copy/paste required.

Create marketing promotions based on existing content

Turn your long-form content — like podcasts, blog posts or videos — into full promotional campaigns. With Ontraport’s AI Assistant and Dynamic CMS, you can generate titles, descriptions and social copy from a single transcript, then use automations to publish the content on your site right on schedule.

Automate responses based on customer behavior

With AI inside your automation system, you can analyze what a contact has done — visited a page, opened an email, clicked a link — and trigger tailored responses based on those patterns. It’s a scalable way to deliver personalized experiences without manual work.

Draft personalized emails based on CRM data

AI can pull in lead source, recent actions or product interest to generate relevant messages — like a welcome note for new trial users or a follow-up based on webinar attendance.

Respond with context from past conversations

AI can reference your CRM history — including previous replies, questions and notes — to draft replies that pick up right where the last conversation left off. No need to dig through old messages or start from scratch.

Route incoming messages using AI-powered tags

AI can scan the content of emails or form responses and assign tags like “support,” “billing” or “sales” — so your automations know where to send them without complex if/then branches.

When your AI tools live where your customer data does, every message, action and insight becomes faster, more relevant and easier to scale.

Make AI part of your team's strategy — not just your tech stack

The most successful AI adoption doesn’t happen in isolation — it happens when your whole team is on board.

If your team is testing AI tools without a clear direction, it’s time for a strategy session. Here’s a simple agenda you can use to turn scattered experimentation into a shared plan:

Review what’s already working. Are your content writers using ChatGPT? Is someone already experimenting with AI for ads or segmentation? Start by documenting what’s been tried — and what’s worth continuing.
Identify high-impact opportunities. What’s slowing your team down? Where does manual work create bottlenecks? Use this to pinpoint areas where AI could have the biggest payoff.
Assign owners. Instead of expecting one person to “figure out AI,” assign team leads to explore use cases in their areas — content, automation, CRM, design, etc.
Set one short-term goal. Choose a task to automate, a segment to personalize, or a new workflow to test — and commit to making progress this quarter.
Keep the conversation going. AI strategy isn’t a one-and-done. Build in regular check-ins to share wins, troubleshoot blockers and keep momentum going.

When you treat AI as a cross-functional initiative — not just a shiny new tool — it becomes a real part of how your marketing team works and wins in 2025.

What other teams are doing

While AI is everywhere in the headlines, most marketing teams are still in the early phases of adoption. A September 2024 survey by the American Marketing Association found that nearly 90% of marketers have used generative AI tools at work — but most are applying them to narrow, tactical tasks like content ideation or subject line testing, rather than weaving them into broader systems or strategy.

Still, things are beginning to shift. According to a 2024 study by AI at Wharton, AI adoption in marketing has surged from 20% in 2023 to 62% in 2024.

As Wharton marketing professor Stefano Puntoni puts it, “Companies are no longer just exploring AI’s potential — they are embedding it into their strategies to scale growth, streamline operations, and enhance decision-making. The novelty phase is over. We’re now starting to see the integration of AI into various business processes, as companies look to unlock its long-term value across the enterprise.”

Your next move: Start using AI where it counts

The best AI strategies don’t start with a huge overhaul — they start with one smart decision.

Whether you’re optimizing how your team works or leveling up how you serve customers, AI gives you the leverage to move faster, stay agile and scale what works.

And with more AI tools now built into the platforms you’re already using, it’s easier than ever to make meaningful progress — without reinventing the wheel.