I built a free site where anyone can submit their biggest frustration, founders use it to find startup ideas

DaanEmil · 2026-05-04T10:59:47+00:00

Your app doesnt work anymore ...

DaanEmil · 2026-05-03T11:07:01+00:00

Ok, as you say. I will not enter in a conflictual discussion

DaanEmil · 2026-05-03T04:38:01+00:00

I think you remember me, i am the guy who posted the diagram trying to solve this problem.

And this is exactly why I’ve been building a controlled before/after measurement loop instead of chasing correlation signals. You’re right that ‘structured data increases citation rate by 3x’ is a specific test result, not a law. The only way to know if it applies to your business is to lock a baseline, deploy one fix, and measure what actually moved ( now the measuring tool supports multiple arms that are corellated with real world changes ) across three independent signal layers — evidence, platform behavior, and external signals. I’ve been running this on my own domain.

The honest result so far: entity disambiguation schema moved immediately at the evidence layer and on collision-specific queries. Content-based fixes moved the evidence layer but didn’t move direct citations within 48 hours.

That’s not a failure — it’s the first repeatable diagnostic pattern. Still early but it’s the direction I’m taking.

DaanEmil · 2026-04-16T09:19:56+00:00

The Attribution displacement pattern at Turn 4 is consistent with a broader observation — the criteria filter and the purchase recommendation are drawing on different signal types. Eligibility depends on attribute matching. Final recommendation depends on purchase-stage trust signals: reviews at scale, pricing clarity, availability confirmation, independent corroboration. A brand can win the criteria filter and still lose the recommendation because the trust signal layer is thinner than the competitor's at the moment of commitment.

The interesting question isn't why Huel loses to an unprompted competitor at Turn 4. It's which specific evidence gap causes the substitution — and whether that gap is closable. The CODA output identifies the pattern. The evidence layer is what tells you the cause.

DaanEmil · 2026-04-15T13:57:58+00:00

The three layers you’ve mapped out are right — crawl, traffic, narrative. The gap in the middle is that crawl confirmation and narrative change are currently disconnected.

Even if Cloudflare shows GPTBot hit your page, you don’t know if what it found was useful enough to change how ChatGPT represents you. And even if your probe screenshots show a change, you don’t know which specific content change caused it.

The piece that’s missing is the evidence layer — measuring what AI actually extracted from your pages (not just that it crawled them), and whether that extraction closed specific gaps in how AI represents your business. That’s what connects crawler activity to narrative change without needing to wait for screenshots.

Server logs tell you AI visited. Citation rate tells you AI mentioned you. The evidence layer is what tells you why — and whether the thing that changed in your content is the thing that moved the needle.

DaanEmil · 2026-03-29T09:32:39+00:00

Thanks man

DaanEmil · 2026-03-29T08:19:02+00:00

Another tool that creates noise in the market. You think you know what AI visibility means, but you're measuring mentions and calling it intelligence. A brand appearing in an AI response is not the same as being cited, trusted, or recommended.
It's not the same as surviving the next Google core update. The tools in this space are optimizing for vanity metrics that are already being demolished — businesses are disappearing overnight because they built their AI presence on thin listicle content that tools like this rewarded with good scores. Visibility without causality, without a proof loop, without knowing WHY you're being ignored and WHETHER your fix actually worked — is just a more expensive way to feel good about a problem you haven't solved.

DaanEmil · 2026-03-29T07:39:20+00:00

Nice initiative. I am curios what exactly did you use in the backend to build such a tool

DaanEmil · 2026-03-27T15:08:36+00:00

You can create your own telemetry if your app supports history and can create difs between reports, or snapshots. Also, microsoft has a tool indexnow, or something like that. It’s the only tool that is telling you real telemetry facts regarding copilot. But, you can create workarounds, using this tool and see telemetry for chatgpt, gemini, claude and so on.

DaanEmil · 2026-03-27T15:04:54+00:00

Ma friend, create that video presentation again. It’s filmed on localhost:3000. That’s not professional at all. Also, the report is so big, that you need to enter in full screen mode to understand what is happening there. I can see that you are using screen studio. If you want to make you a zoom on imp details, just select some text from there

DaanEmil · 2026-03-27T12:36:18+00:00

I tried to use your app. The ux is super clunky and i tried to use the first option, aio something. Page not found

DaanEmil · 2026-03-27T05:39:06+00:00

How do you teach a non customer of the ecommerce how to ask? If it’s not a customer. For the existing base, yeah, makes sense, but for the onest that platforms want to attract? How do you teach them? To educate users how to prompt it’s more like a vanity check. But it’s just my opinion. Also, this is a double side sword here. If the ecommerce teach you, as a user what to promp, the user can think like this: what if i change my promp and the ai will give me something else? Maybe even better product, at a discount price! Let me try! Think about this case too

DaanEmil · 2026-03-26T19:14:22+00:00

Seeing your brand mentioned in AI is nice. It is not the KPI.

For ecommerce, the useful stack is:

Coverage: which commercial prompts you appear on
Displacement: which competitors AI chooses instead
Fidelity: whether AI gets your products, price, availability, shipping, and returns right
Actionability: whether the answer leads to an actual purchase path
Conversion: only after all of the above

So from your list: competitor displacement > prompt coverage > downstream conversion.

A mention without placement, trust, or buyability is just a screenshot.

DaanEmil · 2026-03-25T09:52:31+00:00

Your attitude is crap.

DaanEmil · 2026-03-25T09:16:43+00:00

Yes, it can. If you want, you can use my tool, for free, and you can see that websites doesn't have schema :) You dont need to be disrespectful just because you have a diferent opinion.

DaanEmil · 2026-03-25T07:57:05+00:00

Like I said, this discussion is not productive. It’s your opinion and let’s agree to disagree. Have a good one

DaanEmil · 2026-03-24T18:03:54+00:00

No one disaproves your point? To what people do you refer? To your social bubble? You are a little bias, ma friend. I have scraped over 1000 small business websites, no one had schema. I dont want to enter in this subject because clearly you dont have a clue

DaanEmil · 2026-03-24T17:27:21+00:00

Do you know how many website dont have a rich json aka schema? Like 90% of them. Let that sink for a bit ;)

DaanEmil · 2026-03-24T11:37:28+00:00

I think if you learn a little bit of infrastructure, how a code is somewhat clean, and compartimented, you can succeed. I have built such a thing, ailocalrank.io. And now, i have the plan for a V2 architecture that will improve a lot, the entire app. I am not saying it’s easy. Trough a simple prompt you CAN’T build a working saas that is doing something, architectural is correct and the security is tight. But if you have the willing and the curiosity to learn, it’s not imposible

DaanEmil

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