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:
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.
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.
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.
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.
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.
Here’s what that looks like in practice:
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.
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.
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.
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.
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.
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.
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.
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.
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.”
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.