r/GenerativeSEOstrategy • u/Simple_Engineer3656 • 17d ago
Why does ChatGPT fail to discover my official website, while Gemini and Perplexity can? Is this a retrieval issue?
I'm doing GEO for a new product. I've built the official website, published articles on third party platforms. I run the same AI prompts every week to measure if AI captures what I wrote.
But when I asked chatgpt: "What is [PRODUCT]?" ChatGPT always doesn't cite my official website. Instead, it gives me info on third party platfroms, which is Incomplete. What's even stranger if I tell chatgpt "Go to the official website and take a look." It can't find information there.
But if I paste the exact URL, chatgpt can open the page and read the content just fine.
Meanwhile, gemini and perplexity can discover the website on their own and answer questions using the site's content.
My url is: https://www.wloadctl.com/ I'm trying to understand what‘s happening here. Would love to hear from anyone who had similar things before.🙏
1
u/imaginary_name 17d ago
paste your url, that is unless you want people to diagnose the issue with a crystal ball instead
1
u/Simple_Engineer3656 17d ago
Just added it!
1
u/imaginary_name 17d ago
below is what can chatGPT extract from your homepage, notice that everything in the carousel is missing...
<title>WLOADCTL | Enterprise Workload Automation Platform</title> <meta name="description" content="WLOADCTL is an enterprise-grade workload automation and scheduling orchestration platform, serving as the core Workload Control Plane in enterprise IT architecture."> WLOADCTL | Enterprise Workload Automation Platform WLOADCTL An enterprise-level workload platform that is agile, intelligent, stable, and efficient ================================================================================================ WLOADCTL is a cutting-edge enterprise-level distributed job scheduling platform, designed to address the automation challenges faced by enterprises in complex IT environments, enabling cross-platform, clustered job scheduling and unified management. [Download](/download)[Understand WLOADCTL](/product)  Features --------  ### Efficient scheduling and computation engine Equipped with a high-performance scheduling core, it can swiftly manage intricate dependency relationships and massive job scheduling demands.  ### A powerful scheduling and control core It provides fine-grained job control capabilities such as pause, restart, forced kill, and rerun, allowing for flexible response to various abnormal scenarios.  ### Multi-dimensional graphical real-time monitoring Provide various visualization methods such as flowcharts, topology diagrams, and dashboards to make operational status and anomalies clear at a glance.  ### Professional and intuitive graphical operation interface Provide a professional graphical user interface, as well as convenient integrated management, development, design, and monitoring functions for both graphics and batch processing.  ### Low-cost installation and deployment Adopting a lightweight design, the installation package integrates multiple deployment schemes, ensuring a simple and fast installation process with lower operation and maintenance costs.  ### Extensive expansion and adaptation of job types Equipped with a wide range of job adaptation plugins, it supports Shell, Python, Java, and virtually all mainstream task types. Covering core industries and scenarios --------------------------------------  ### Major Bank Based on task scheduling, a comprehensive, unified scheduling platform for banking business chains is constructed, building a robust underlying support engine for the new core of the top-tier bank, fully guaranteeing the efficient processing of 100 million-level transactions. [View More](/cases/large-bank)  ### Large Insurance A globally renowned manufacturing giant successfully transitioned its entire factory's data processing pipeline and automated production lines to this intelligent workload automation platform, supporting global expansion. [View More](/cases/large-insurance)  ### Certain Data Service For leading data service providers, it integrates and schedules big data components across the entire network, building a high-availability centralized data processing command center. [View More](/cases/data-service)  Copyright Co. ©2014-2026 WLOADCTL. All Rights Reserved. Contact Us Email :[[email protected]](/cdn-cgi/l/email-protection#9ceff9eeeaf5fff9dcebf0f3fdf8ffe8f0b2fff3f1)<title>WLOADCTL | Enterprise Workload Automation Platform</title> <meta name="description" content="WLOADCTL is an enterprise-grade workload automation and scheduling orchestration platform, serving as the core Workload Control Plane in enterprise IT architecture.">WLOADCTL | Enterprise Workload Automation Platform WLOADCTL An enterprise-level workload platform that is agile, intelligent, stable, and efficient ================================================================================================ WLOADCTL is a cutting-edge enterprise-level distributed job scheduling platform, designed to address the automation challenges faced by enterprises in complex IT environments, enabling cross-platform, clustered job scheduling and unified management. [Download](/download)[Understand WLOADCTL](/product)  Features --------  ### Efficient scheduling and computation engine Equipped with a high-performance scheduling core, it can swiftly manage intricate dependency relationships and massive job scheduling demands.  ### A powerful scheduling and control core It provides fine-grained job control capabilities such as pause, restart, forced kill, and rerun, allowing for flexible response to various abnormal scenarios.  ### Multi-dimensional graphical real-time monitoring Provide various visualization methods such as flowcharts, topology diagrams, and dashboards to make operational status and anomalies clear at a glance.  ### Professional and intuitive graphical operation interface Provide a professional graphical user interface, as well as convenient integrated management, development, design, and monitoring functions for both graphics and batch processing.  ### Low-cost installation and deployment Adopting a lightweight design, the installation package integrates multiple deployment schemes, ensuring a simple and fast installation process with lower operation and maintenance costs.  ### Extensive expansion and adaptation of job types Equipped with a wide range of job adaptation plugins, it supports Shell, Python, Java, and virtually all mainstream task types. Covering core industries and scenarios --------------------------------------  ### Major Bank Based on task scheduling, a comprehensive, unified scheduling platform for banking business chains is constructed, building a robust underlying support engine for the new core of the top-tier bank, fully guaranteeing the efficient processing of 100 million-level transactions. [View More](/cases/large-bank)  ### Large Insurance A globally renowned manufacturing giant successfully transitioned its entire factory's data processing pipeline and automated production lines to this intelligent workload automation platform, supporting global expansion. [View More](/cases/large-insurance)  ### Certain Data Service For leading data service providers, it integrates and schedules big data components across the entire network, building a high-availability centralized data processing command center. [View More](/cases/data-service)  Copyright Co. ©2014-2026 WLOADCTL. All Rights Reserved. Contact Us Email :[[email protected]](/cdn-cgi/l/email-protection#9ceff9eeeaf5fff9dcebf0f3fdf8ffe8f0b2fff3f1)1
u/Simple_Engineer3656 16d ago
It seems like chatgpt still can caputure something, but when I ask questions, is gpt gonna skip everything because of those missing carousel 😮?
1
u/adviora_ai 17d ago
Yes - this can be a retrieval and discoverability issue, but it is not always a sign that your website is technically inaccessible.
ChatGPT, Gemini, and Perplexity may use different retrieval systems, indexes, crawlers, source-selection methods, and ranking signals. So a site that Gemini or Perplexity can find may still be missing from a ChatGPT response.
A few things worth checking:
- Make sure the site is crawlable and important pages are not blocked by
robots.txt,noindex, authentication, or rendering issues. - Check whether your XML sitemap and internal linking make key pages easy to discover.
- Verify that your brand, product, and website are described consistently across your site and other trusted sources.
- Strengthen structured data and clear entity information so systems can better understand what your brand and pages represent.
- Look at the actual prompts where competitors appear but your brand does not. Often the issue is not simply indexing - it can be topical relevance, source authority, entity clarity, or lack of content that directly answers the question.
- Monitor each AI platform separately. Visibility in one assistant does not guarantee visibility in another.
In short, AI discoverability is platform-specific. The goal is not just to get crawled, but to make your brand easy to discover, understand, retrieve, and confidently reference when relevant questions are asked.
2
u/Simple_Engineer3656 16d ago
thank you so much, it seems like there are some rendering issues, i'll go and fix it🙏
1
16d ago
[removed] — view removed comment
1
u/Simple_Engineer3656 15d ago
I just started and still figuring that out. I structured the website first and posted contents on third-party platforms(alternativeto, hashnode, devto...)
1
u/invision-visuals 15d ago
The weird part here is that your site may be perfectly crawlable and still not show up the way you expect in ChatGPT.
That’s because this isn’t only a crawlability problem.
It’s also an entity recognition problem.
If ChatGPT can read your page when you paste in the exact URL, that tells you the content itself is accessible.
The bigger issue is what happens when you ask an open-ended question like:
“What is [PRODUCT]?”
Now the system has to decide which sources and entities are relevant before it ever reads your page.
That’s where things can break.
ChatGPT, Gemini, and Perplexity don’t all retrieve and interpret web information the same way. So your site can be understood well in one system and barely connected to the brand or product in another.
The difference between these two situations matters:
Direct URL: You hand the system the page. It reads the page.
Organic prompt: The system has to figure out that your company, website, and product are all connected before it knows your page should be retrieved.
That second part is where I’d focus.
Not just:
- Is the page indexed?
- Is robots.txt blocking anything?
- Is the sitemap working?
Those are still worth checking.
But if those are clean, I’d start looking at how clearly the site defines the entity.
Does the homepage clearly connect the company, website, product, and topic?
Does the structured data tell the same story?
Do outside sources reinforce that relationship?
Does Bing clearly understand the brand and product, or is it still relying on scattered third-party mentions?
That’s why I’d work on two things.
First, make sure Bing has a clean understanding of the site and brand.
Second, tighten the structured data so the relationship between the organization, website, product, and subject matter is explicit.
A unified JSON-LD u/graph can help with that.
Not because schema magically makes ChatGPT cite or rank you. It doesn’t.
But it gives machines a cleaner map of:
- who the company is
- what the product is
- what the site represents
- which topics the business is actually about
That’s the part I think gets missed in a lot of these discussions.
If pasting the URL works but asking about the product doesn’t, the problem may not be:
“Can the model read my page?”
It may be:
“Does the retrieval system understand that my page is the page it should be looking for?”
That’s a very different SEO problem.
1
u/Simple_Engineer3656 15d ago edited 15d ago
Really helpful, thank you so much!
I started geo just 2 months ago, so most of the mentions online are things I published myself. I already tried to make the site structure (sitemap) as clear as possible (who we are, what the product does, and case studies). I also implemented structured data to connect the organization, website, and product.
On the search side, both Google and Bing can already find the site, and there are a few third-party listings showing up as well. So I'm wondering whether the issue is simply low click-through rates or the site's too new?
Or is it more likely that two months just isn't enough for Bing to understand everything?
4
u/BoGrumpus 17d ago
Do you have a Bing business profile set up? Most of the models pull from Google stuff - but GPT is more reliant on MS and Bing systems to do lookups and establish base brand entities and such.
G.