You ask ChatGPT about your company and it says it does not know it, or makes something up. Frustrating, but explainable — and much of it is in your hands. There are two distinct reasons, and confusing them leads to chasing the wrong fix: one thing is not being in its training memory, another is that when it searches live, it cannot read you.
An assistant answers from two sources: what it "remembers" from its training data (a snapshot of the past) and what it reads in real time when it browses the web to answer you. Not being remembered does not mean it cannot cite you if it reads you live — and that is where you can act.
Training data has a cutoff date and favors the heavily cited. If your business is recent or niche, being absent "from memory" is normal. You do not control this directly: there is no button to get added to training. What you do control is what follows.
This is the actionable reason and the most common one. If your content renders with JavaScript, or you block AI crawlers in robots.txt, the assistant that comes to find you in real time hits a blank page or a closed door — and answers without you.
Many sites block GPTBot, ClaudeBot or PerplexityBot unknowingly, via a template or a plugin. Check your robots.txt: if those bots are blocked, no content improvement will help until you let them in.
The #1 cause of invisibility. Many agents do not run JS: if your text is generated client-side, your page is empty to them. Serve content from the server (SSR) or prerender it. Test: disable JavaScript in your browser and see if your information is still there.
Add JSON-LD (schema.org) with your Organization or LocalBusiness: name, description, url, location. That way the assistant does not guess what you are; you tell it in a format it understands and can cite accurately.
Complete metadata (title, description), a clear <h1>, content that answers your category's questions, and an optional llms.txt summarizing your site. The easier you make it, the better it will explain you.
Do not guess where you fail: scan your domain, fix the weak signals it flags, and repeat. Becoming readable is the precondition for being cited; memory fame comes later, and faster once you can already be read.
Find out why AIs cannot read you today: scan your domain free and get your AI Visibility Score (0-100) with the concrete fix for each signal — plus what an assistant answers from memory about you right now.
Not directly: nobody controls what enters a model's training data or when. What you do control is that, when an assistant searches live, it can find, read and cite you. That is the actionable part — and what SeekinWeb measures.
It is usually inherited memory: whoever has been around longer or is more cited on the web shows up "from memory." But that edge fades as assistants shift to real-time search: there, whoever is readable today wins, not whoever was famous yesterday.
Readability you fix today, and it takes effect as soon as an assistant searches you live. Entering training "memory" is slower and not guaranteed. So start with what you control: being readable.
They overlap (clean HTML, structured data, performance), but the focus differs: here it is readability for AI agents, robots.txt access for AI bots, and conventions like llms.txt — not just ranking on Google.