You’re in a tie and it costing you

⚡ Why buyers can't tell you apart from rivals, and an AI model that talks back

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In Partnership with AirOps

Why are your top pages still missing AI's pipeline

Traffic from AI search is growing, but most teams haven't figured out how to turn it into a pipeline. Comparison pages, pricing pages, and feature pages either aren't getting cited or aren't converting when they are.

On August 5 at 2pm ET, Josh Grant, founder of StackedGTM and former VP of Growth at Webflow, joins AirOps' Josh Spilker for a tactical session on the plays that turn AEO into revenue this quarter. 

You'll walk away with:

  • Why comparison pages are one of the fastest ways to capture mid-funnel AI search demand
  • What makes pricing and feature pages more extractable for models to cite and summarize accurately
  • How third-party corroboration from sites like G2, Capterra, and Reddit strengthens on-site messaging

Audit your feature pages against Josh's AEO framework live, and leave with a ranked fix-it list 

Can't make it live? Register anyway and get the recording in your inbox within 24 hours.


📝 The Tie You Don't Know You're In

Two products are neck and neck. Yours is actually better, but both websites promise the same things: save time, all in one place, trusted by growing teams. The buyer nods twice and opens a pricing spreadsheet instead. That tie gets settled by familiarity and price, not by who is actually better.

The real problem is that most homepages describe benefits, not value props. A benefit is true of the whole category. A value prop answers why you, specifically. Mirroring competitors feels safe, but it quietly hands the deal to whoever the buyer already trusts.

AI has made this worse. Prediction tools return the most probable, most average claim in a category, and founders across the same space end up typing the same prompt into the same box, then copying the same output onto their homepage.

Here is a three-step way out:

1️⃣ List the bad alternatives
Write down every option your customer settles for instead of you, including competitors, spreadsheets, or doing nothing. Note the exact failure each one causes.

2️⃣ Answer each failure directly
For every failure, write a claim that speaks only to that specific moment, not to the category in general.

3️⃣ Keep only what is ownableZ
Keep the two or three claims that are true of you, hard for a rival to say honestly, and important to the buyer. Cut the rest, however polished they sound.

Test any claim with a simple swap: read it aloud with a competitor's name in place of yours. If it still sounds true, it is a benefit in disguise, not a value prop.

The Takeaway
A strong product can still lose a tie built on identical language. The fix is not better adjectives, it is naming the specific failure your product ends, one a rival cannot equally claim to solve.


📝 MaineCoon Brings Real Time AI to Life 

AI video has mostly meant one shot generation, you type a prompt and wait for a clip. MaineCoon is pushing past that. It is being described as the first unlimited duration interactive audio visual model, meaning you are no longer just watching AI output, you are talking to it as it happens. Here is what sets this shift apart:

1️⃣ Real Time Interaction
Instead of generating a fixed video and hoping it fits what you wanted, MaineCoon lets you interact with the model as it runs. The output responds to you in the moment rather than being locked in beforehand.

2️⃣ A Real Time Character
The model can hold a consistent audio visual character that exists continuously, not just for a few rendered seconds. This moves AI video from a one off clip toward something closer to a persistent presence.

3️⃣ Speak and Receive Replies
You can talk to the model and get a spoken response back, closing the loop between input and output. This is the part that pushes MaineCoon out of passive video and into live conversation.

4️⃣ Unlimited Duration
Unlike earlier generative video tools that cap out after a few seconds, MaineCoon is built to sustain interaction without a hard time limit, which is what makes an ongoing back and forth possible in the first place.

The Takeaway
Most AI products still feel like they live behind a screen, something you prompt and then watch. MaineCoon is an early sign of that changing, an audio visual model you can actually talk to in real time, with a character that responds and holds a conversation rather than just performing one. If this direction holds, the line between generating video and simply talking to AI is about to get a lot thinner.


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