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OpenAI Wants to Own Everything!
O RLY? You say.
Joshua Parkinson
October 07, 2025 • Estimated Reading Time: 10 minutes
In partnership with
Greetings from the latest issue of the AIM Newsletter
It’s been a while since we moved the AIM Newsletter to its own publication. We wanted to remind you that AIM keeps rolling, and only you can decide to join the show and keep your marketing game at its best by subscribing to AIM.
So, enjoy the latest episode, and remember to subscribe to AIM here.
Welcome back to AIM! This week, we're diving into how OpenAI's DevDay 2025 announcements are reshaping marketing workflows. Plus, we've got 3 breakthrough AI tools that are revolutionizing video creation and automation, and insights on how ChatGPT is dominating AI marketing traffic with 87% market share.
Let’s make this week count! 🤝
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🔍 This Week’s Focus
🚀 AI breakthrough: OpenAI unveils apps SDK, AgentKit, and GPT5 Pro for marketers.
📈 Case study: Sora 2 launches with breakthrough audio-video generation.
🔔 Industry alert: Google slashes AI costs 50% with Gemini 2.5 Flash.
🛠️ Tool spotlight: 3 state-of-the-art AI creator and automation tools to grow your business.
⚡ Quick win: Focus your AI marketing efforts on ChatGPT for maximum ROI
📰 Main Story
OpenAI Hands Marketers the Ultimate Toolkit
The Challenge: Marketing teams have been juggling multiple AI platforms while struggling to build custom experiences and automate complex workflows without developer support. The gap between what AI can do and what marketing teams can actually implement has been holding back adoption.
The Game-Changer: At DevDay 2025, OpenAI launched three massive updates that put enterprise-grade AI directly in marketers' hands:
1) Apps SDK - Native Customer Experiences Inside ChatGPT
Create interactive applications that run natively inside ChatGPT for direct customer engagement. Think interactive product demos, lead capture forms, personalized shopping experiences, and customer support chatbots; all without leaving the AI interface. The SDK enables marketers to build these experiences without needing a development team, breaking down the technical barriers that have prevented many teams from creating custom AI-powered customer touchpoints.
2) AgentKit - Drag-and-Drop Marketing Automation
Build automated AI agents for campaign management and analytics using visual, drag-and-drop workflows. Set up agents that optimize ad spend in real-time, generate comprehensive reports, manage social media scheduling, and handle customer support escalation. The no-code approach means marketing teams can rapidly prototype chatbots, automate customer workflows, and scale personalized automation using real data, all while reducing dependence on engineering teams.
3) GPT-5 Pro + Sora 2 - Hollywood-Level Content Creation
Enhanced content creation and video production capabilities now deliver synchronized audio and realistic physics in AI-generated videos. Sora 2 enables marketers to create everything from cinematic ads to animated content in seconds, with customizable styles and the ability to remix trending formats. The integration allows for seamless workflow between text-based campaign planning in GPT-5 Pro and visual content execution in Sora 2.
The Marketing Impact:
These launches represent a shift from AI as a writing assistant to AI as a complete marketing operations platform. Teams can now create AI-powered customer experiences, automate complex workflows, and produce professional-grade video content; all without technical expertise or developer resources.
Your Takeaway: The no-dev-team-needed era of AI marketing is here. Start with one simple workflow, like automated social media responses or lead qualification, and scale from there. The combination of these three tools creates an integrated ecosystem where customer engagement, workflow automation, and content creation work together seamlessly.
Marketers now have access to enterprise-grade AI capabilities that were previously only available to teams with significant technical resources, democratizing advanced AI marketing for businesses of all sizes.
🛠️ Tool Spotlight
Sora 2 (Requires invitation; you can use the previous one if you have any paid ChatGPT plan)
What it does: Turn text prompts or images into hyperreal videos with sound, complete with customizable styles and remix capabilities.
Best for: Social media teams and campaign creators who need fast, mobile-first video content.
Why it matters: Creates ad-ready video content on the go, perfect for A/B testing and rapid social campaigns.
Quick tip: Use the TikTok-style feed to find trending formats you can remix for your brand.
What it does: Run multiple Claude AI agents in parallel to test different prompt versions and catch issues with real-time suggestions.
Best for: Social and email teams doing heavy A/B testing of creative variations.
Why it matters: Streamlines creative testing and improves team workflows by running multiple AI experiments simultaneously.
Quick tip: Use it to test 5-10 ad copy variations at once before launching campaigns.
What it does: Connects thousands of marketing apps and automates repetitive tasks using plain language prompts, no coding needed.
Best for: Marketing teams juggling multiple platforms who want to eliminate manual work.
Why it matters: Makes powerful marketing automation accessible to non-technical teams with enterprise-grade security.
Quick tip: Start by automating your lead handoff between marketing and sales tools.
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⚡ Quick Win of the Week
Focus Your AI Marketing on ChatGPT for Higher Conversions
Here's a stat that'll change your strategy: 87% of AI traffic and 82% of AI-driven sales come from ChatGPT, massively outperforming Copilot, Perplexity, and Gemini.
Step 1: Audit where you're currently spending time optimizing for AI platforms
Step 2: Shift 80% of your AI SEO and content efforts to ChatGPT optimization.
Step 3: Focus on question-based content that gets cited in ChatGPT responses.
Expected result: Higher conversion rates from AI-driven traffic.
Time investment: 15 minutes to restructure your content strategy.
Still splitting efforts across smaller AI platforms? Refocus on ChatGPT to maximize your marketing ROI.
Try it and let us know your results!
📈 This Week in AI Marketing
Why it matters: Makes AI-powered campaigns accessible to smaller marketing budgets.
Why it matters: Sets new benchmark for AI industry funding and development expectations.
Why it matters: Opens new frontiers for marketing. Test direct app connections to streamline your workflow.
Why it matters: Vibe-coding is getting more and more mainstream every day. Seems like it’s going to be a skill every marketer should possess in the future.
🌟 Community Highlight
This week's spotlight: Julian Goldie's AI Marketing Case Study.
Achievement: Scaled Instagram reach from 6,000 to 100,000 daily using an integrated AI marketing stack for Skool Games.
The Setup: By combining ChatGPT, Claude, Gemini, AI avatar videos, ManyChat Instagram DM automation, and AI-powered video editing, Julian built a system that handles content creation and community engagement automatically.
The Results: One AI avatar video hit 55,000 views compared to just 8,700 views for a human-hosted video. Automated DM sequences and content repurposing funneled dozens of new members weekly.
Key insight: "AI handles the grunt work so marketers can focus on strategy. The stack automates everything from content creation to lead nurturing, letting us scale without burning out."
Tools used: ChatGPT for strategy, Claude for content, Gemini for analysis, AI avatar videos for engagement, and ManyChat for Instagram automation.
📚 Learn Something New
This week: Understanding AI Attribution in Marketing
The basics: AI attribution models use machine learning to analyze every touchpoint in a customer's journey, giving accurate credit for conversions across channels; something traditional last-click attribution misses 60-80% of the time.
Why it matters: New research shows that AI models like ChatGPT and Gemini weigh link quality differently than Google, prioritizing diverse, high-quality links over pure quantity.
Common mistakes:
Only focusing on direct conversions.
Ignoring cross-device behavior patterns.
Not accounting for AI search influences.
Best practices:
Set up tracking across all AI platforms where your content appears.
Include citations and mentions in AI responses as conversion touchpoints.
Review attribution data monthly to optimize for AI-driven traffic.
That’s all for today. Thanks for reading. Now…
Go BIG or go home!
~ Josh from “This Week in Social Media”
Disclaimer: Some links may be affiliate links that pay us commissions.
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