This is interesting. In SEO, at least we can guess what parameters to tweak to get ranked like backlinks, content, etc. How does it work with LLMs? What are you measuring and recommending?
@gokuljd Great question. LLMs don’t work with fixed ranking factors the way search engines do, so there isn’t a clean checklist like backlinks or keyword density.
What we measure instead is:
When your product appears in AI answers vs alternatives
How it’s described (use-case, category, comparisons)
Where models seem uncertain or vague
And what we recommend focuses on reducing that uncertainty:
Clear category + “job to be done” positioning
Explicit comparison and exclusion language
Consistent product narratives across the sources models tend to rely on
So it’s less about tweaking a single signal, and more about making your product the easiest, most defensible answer for an AI to give, without trying to game the system!
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@gokuljd@michelle_marcelline "Consistent product narratives across the sources models tend to rely on" - so the product writes content for third-party services like Reddit?
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@gokuljd@michelle_marcelline Also, what you describe sounds like mid to bottom of funnel SEO, so why not just do mid to bottom of funnel SEO?
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@gokuljd@michelle_marcelline "Where models seem uncertain or vague" this sounds vague, ironically. What specifically do you mean by it? The correct answer would be you use LogProbs and look at what the model almost said, etc. But I suspect you mean something more abstracted away, wishy-washy and therefore unreliable.
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Great idea, but the registration process is very complicated. First, there’s no Google sign-in. Second, by the time I reached the payment step, I still didn’t understand how valuable this is for me or how the product differs from competitors. Third, there’s nothing free to try. As a result, I got to the payment step and stopped there, even though I saw that you did a pretty good job identifying my services, competitors, and creating potentially interesting prompts that my clients might use. And I’m a real customer — we’re currently working on optimization for ChatGPT and consider this channel our main source of sales right now.
What’s your differentiation against (1) enterprise AI visibility platforms and (2) doing this manually with prompts + spreadsheets + content briefs—specifically, what do you do that others don’t, and where do you intentionally not compete?
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We’ve been working with The Prompting Company for a while, and their structured, data‑driven approach to getting us recommended inside real AI conversations has sharpened our positioning and driven more qualified inbound from people who “heard about us from ChatGPT/AI.” They’re one of the few partners that back it up with measurable impact.
This is fascinating - the shift from optimizing for Google's algorithms to becoming the go-to recommendation in AI conversations is definitely the future. I'm curious how you measure success in GEO compared to traditional SEO metrics?
The Prompting Company
SEO is dead.
I've launched 5+ products since my first startup, Typedream, was acquired in 2024.
One day, I was about to launch again. Everything was ready. The code was done, the product was polished, the team was waiting.
Then I realized: I hadn't set up welcome emails.
So I opened the AI sidebar within Cursor and typed: "How do I send a welcome email to users after signup?"
In seconds, I got an answer: "You can use Resend to send transactional emails."
Code inserted. Done.
That moment changed everything for me.
The decision happened inside my workflow. The AI picked the tool. I just said yes.
And that's when I realized: if your product isn't the one AI recommends in that moment, you're not even in the running.
This is why we built The Prompting Company.
@michelle_marcelline Congrats! How does it differentiate from another YC product AthenaHQ?
Sleek Pay
@michelle_marcelline HUGE!!!! Prompting Company has one of the best GEO tools out there - glad you're getting the word out!
@michelle_marcelline promo code is only giving 20% off not 3 months free like it says?
JDoodle.ai
This is interesting. In SEO, at least we can guess what parameters to tweak to get ranked like backlinks, content, etc. How does it work with LLMs? What are you measuring and recommending?
The Prompting Company
@gokuljd Great question. LLMs don’t work with fixed ranking factors the way search engines do, so there isn’t a clean checklist like backlinks or keyword density.
What we measure instead is:
When your product appears in AI answers vs alternatives
How it’s described (use-case, category, comparisons)
Where models seem uncertain or vague
And what we recommend focuses on reducing that uncertainty:
Clear category + “job to be done” positioning
Explicit comparison and exclusion language
Consistent product narratives across the sources models tend to rely on
So it’s less about tweaking a single signal, and more about making your product the easiest, most defensible answer for an AI to give, without trying to game the system!
@gokuljd @michelle_marcelline "Consistent product narratives across the sources models tend to rely on" - so the product writes content for third-party services like Reddit?
@gokuljd @michelle_marcelline Also, what you describe sounds like mid to bottom of funnel SEO, so why not just do mid to bottom of funnel SEO?
@gokuljd @michelle_marcelline "Where models seem uncertain or vague" this sounds vague, ironically. What specifically do you mean by it? The correct answer would be you use LogProbs and look at what the model almost said, etc. But I suspect you mean something more abstracted away, wishy-washy and therefore unreliable.
Great idea, but the registration process is very complicated. First, there’s no Google sign-in. Second, by the time I reached the payment step, I still didn’t understand how valuable this is for me or how the product differs from competitors. Third, there’s nothing free to try. As a result, I got to the payment step and stopped there, even though I saw that you did a pretty good job identifying my services, competitors, and creating potentially interesting prompts that my clients might use. And I’m a real customer — we’re currently working on optimization for ChatGPT and consider this channel our main source of sales right now.
Siteline
You nailed it - showing up on AI platforms is indeed essential, especially now that the adoption is growing.
Do you plan to add features related to ads (OpenAI announced they are launching ads recently)? Also, how do you retrieve exact user questions? Cheers!
Product Hunt
We’ve been working with The Prompting Company for a while, and their structured, data‑driven approach to getting us recommended inside real AI conversations has sharpened our positioning and driven more qualified inbound from people who “heard about us from ChatGPT/AI.” They’re one of the few partners that back it up with measurable impact.
@slava_vidomanets Who is "us" so I can go check out the work?
This is fascinating - the shift from optimizing for Google's algorithms to becoming the go-to recommendation in AI conversations is definitely the future. I'm curious how you measure success in GEO compared to traditional SEO metrics?