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📝 Why people skip your onboarding form, plus a local AI agent that cuts memory 80%

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In Partnership with AirOps
Getting cited by AI is not the finish line. Getting chosen is.

Most teams now track citations like a rankings report. But a citation is a mention, and a mention does not build a pipeline.
Buyers use AI to research, shortlist, and decide, so the brands that win give them a reason to pick them.
Three recent AirOps Growth Leader webinars point to the same shift.
- Kevin Indig’s data shows that ranking #1 for your key fan-out queries earns 58% of citations, four times more than rank #10.
- Ross Simmonds found that Google’s AI surfaces lean on Reddit and YouTube, while the assistants favor off-site product and comparison pages.
- Eli Schwartz argues that every asset still needs a conversion path.
You’ll leave with practical tips on which pages to prioritize and how to give AI-referred buyers a clear next step.
Read the full takeaways to see where your content and off-site effort should go next
📝 Why People Skip Your Onboarding Form
Most onboarding forms are built around what the company wants to know, so people skip them. Completing onboarding should feel like a win for the reader, and skipping it should feel like giving something up.
Steps to Build a Better Onboarding Form:
1️⃣ Frame Questions Around the Reader’s Outcome
A question like “What are you interested in?” is easy to skip because it feels like pure data collection. Instead, explain the benefit: tell us what you want to get better at so we can show you the most relevant resources, articles, and guides.
2️⃣ Reinforce the Value
Add a follow-up line that shows their answers matter, such as using responses to decide what you write about next. The reader sees a more useful product in return.
3️⃣ Let People Skip Resistant Fields
Forcing someone to share information like their website often leads to fake answers, drop-offs, or suspicion. Offer a choice and place the value right next to it, such as scanning your database for ads relevant to their business.
4️⃣ State What They Lose by Skipping
Add a gentle option like “I don’t have a project right now. You can skip this, but we won’t be able to personalize your ad recommendations.” A stated loss lands harder than a gain, and a way out keeps the form from feeling forceful.
5️⃣ Keep the Loss Honest
The consequence must be true. Invent one to push people through the form and you lose their trust.
The Takeaway
Stop only asking what you want to know. Use a simple pattern: you tell us X, and we can do Y for you. You can skip X, but here is what we cannot do without it. This turns onboarding from a questionnaire into the first act of personalization. Try it on your next form and watch completion rates grow!
📝 Run Agentic AI Locally with Atomic Agent
Want a powerful AI agent that runs on your own machine? Local AI is evolving fast, and Atomic Agent is a great example. This open source desktop app (MIT license) compresses the memory a conversation takes by up to 80 percent, and it is far more than a chat window. It is a fully agentic setup that works on macOS, Windows, and Linux.
Meet Atomic Agent Desktop!
— Atomic Agent (@atomicagent_io) October 8, 2026
✦ Local AI-first agent for Mac, Windows & Linux
✦ 4x bigger context window on local models with TurboQuant
✦ Atomic Fusion orchestrates cloud and local models to reduce costs
Download Free & Private Agent → https://t.co/295O9ILOgw pic.twitter.com/JQDtxyXDwz
Steps to Set Up Atomic Agent:
1️⃣ Download the Desktop App
Install Atomic Agent on your macOS, Windows, or Linux computer. Because it is open source under the MIT license, you can use it freely and inspect how it works.
2️⃣ Import Your Claude Code Setup
Bring your existing work straight into the app. You can import your skills, memory, MCP servers, and chats from Claude Code, so you never start from scratch.
3️⃣ Use Local Models for Everyday Work
Run your tasks on local models and take advantage of the memory compression, which shrinks the space a conversation takes by up to 80 percent. This helps longer sessions run more smoothly on your hardware.
4️⃣ Add Cloud Models When Needed
For harder projects, call a cloud model to plan the work and delegate the execution to your local models. You get strong planning without giving up the benefits of running locally.
5️⃣ Build Agentic Workflows
Go beyond simple chat by using skills and MCP servers to let the agent carry out real tasks on your behalf.
The Takeaway
Atomic Agent shows how far local AI has come. With memory compression, easy imports from Claude Code, and the option to blend cloud planning with local execution, you get a flexible agent on your own desktop. Download it today and see what local AI can do for your workflow!
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