A sales manager at one of our clients recently told us he’d been “training” Claude. Every few days he’d open a chat, explain what the company does, correct anything it got wrong, and ask it who the best providers in their space were. His logic was simple: the more the AI learned about them, the more it would recommend them when buyers came looking.
We love the hustle. Unfortunately, that’s not how AI works, and he’s far from alone. In this post, we’ll explain why repeated prompts (and AI “lessons”) won’t make AI prefer your brand, what actually does, and five things you can do this week to show up in ChatGPT, Claude, and the rest.
Where The Myth Comes From
Engagement has always been a vote – For 20 years, clicks, likes, and time on page have shaped what search engines and social feeds show. Assuming AI works the same way is only natural.
AI companies really do use chats to improve their models – OpenAI says ChatGPT conversations may be used to train future models unless you turn off “Improve the model for everyone.” Anthropic asks Claude users on personal plans whether they want to help improve Claude. So technically, your chats can end up in the mix.
Your AI starts recommending you back – ChatGPT and Claude both have memory features that personalize answers based on your past chats. Talk about your company enough and your AI will happily bring it up… for you. We call this the hall of mirrors effect.
Why Repeated Prompts Don’t Make You “Preferred”
- Training isn’t real time, and it isn’t a ballot box. Chats used for training feed future model versions that are built months later, after the data is filtered and stripped of personal information. That data makes the model better at general tasks. It doesn’t tally votes for brands, and a few hundred prompts from your team are a drop in a very large ocean.
- Many of your prompts never reach training at all. ChatGPT Business and Enterprise conversations aren’t used for training by default, and neither are Claude’s business plans. Anyone on a personal plan can opt out, too. If your team uses a business account, your “campaign” is literally talking to no one.
- Memory is personal. It changes what AI tells you, not what it tells your prospects. Want proof? Open a temporary chat or a logged-out browser window and ask the same question again.
- AI answers are a slot machine. SparkToro ran the same brand recommendation prompts thousands of times and found less than a 1-in-100 chance that ChatGPT or Google’s AI returned the same list twice. So even when you do see your brand in an answer, one look proves very little.
“But What If We Teach It About Us?”
This is the sequel to the myth, and exactly what our client’s sales manager was doing. Surely teaching the AI helps? Not really.
- A chat isn’t a source. AI tools can’t verify what one user types. If a single conversation could rewrite what AI tells everyone, every competitor (and every troll) would be doing it. These systems are built to trust published, corroborated information.
- Corrections stick for you, not your buyers. Correct the AI and it’ll get it right for the rest of your chat, and it may remember next time. Your prospect’s account never hears about it.
- Permanently teaching a model takes engineering. Changing what a model knows requires fine-tuning or connecting it to your own data, and that only affects your private setup, not the public version your buyers use.
One more thing: be wary of tools that promise to “inject” your brand into AI memory. At best, they reach one visitor’s account. At worst, they look like manipulation.
The real way to teach AI about your company is to publish. When ChatGPT searches the web, it pulls from Bing’s index and OpenAI’s own crawler. The classroom is your website, your listings, and what other people say about you, not the chat box.
What Actually Influences Whether AI Recommends You
- Brand mentions across the web. Ahrefs studied 75,000 brands and found that branded web mentions had the strongest correlation with appearing in Google’s AI Overviews (0.664), well ahead of backlinks. Correlation isn’t proof, but it’s the most consistent signal we’ve seen across studies.
- Being a believable answer in a specific niche. In an Ahrefs experiment, the company’s new conference showed up in 66% of AI answers for “best SEO conferences” but only 16% for “best marketing conferences.” The narrower the category, the easier it is to own.
- Third-party validation. In that same experiment, when AI cited Ahrefs’ own promotional pages, it still recommended a competitor instead 43% of the time. Talking about yourself helps a little. Other people talking about you helps a lot more.
- Accurate content you control. One Yext study found that 86% of AI citations come from brand-managed sources like websites and listings. In other words, your website still matters.
We see this play out with our own clients. One of our clients, a capital equipment manufacturer, has watched organic traffic drop as AI answers more searches, yet their direct traffic is up more than 40% year over year. Buyers are coming to them by name. That’s what earned visibility looks like, and no amount of prompting would have produced it.
How To Show Up In ChatGPT (and Every Other Tool)
Ready to put that prompting energy to better use? Here are five steps:
- Retire the prompt campaign. Let your team know the daily prompting isn’t training anything, and redirect that time into the steps below. What to do now: share this post with anyone who’s been “educating” the AI.
- Measure AI visibility the right way. Use a fixed set of 10 to 20 prompts your buyers would actually ask, run them repeatedly, and track how often you’re mentioned over time rather than checking a single answer. What to do now: if you’re on HubSpot Marketing Hub Professional or Enterprise, set up HubSpot’s AEO tool. Otherwise, Semrush’s AI Visibility Toolkit and its Visibility Overview report are a great place to start.
- Earn mentions where AI reads. Think reviews (Google, G2, Clutch), industry publications, podcasts, partner directories, LinkedIn, and YouTube. What to do now: ask five happy customers for a review and pitch one industry publication or podcast this month.
- Pick a niche AI can repeat. “The HubSpot partner for Midwest manufacturers” is far easier for AI to recommend than “a full-service agency.” What to do now: write a one-sentence description of who you serve and make sure your homepage, LinkedIn, and listings all say it the same way.
Make your facts easy to find and quote. Keep your name, services, and locations consistent everywhere, and answer the buyer’s main question in the first two sentences of each service page. Then make sure AI can read your site. What to do now: verify your site in Bing Webmaster Tools, submit your sitemap, and confirm your robots.txt file isn’t blocking OAI-SearchBot.
The Verdict
You can’t prompt your way into an AI’s good graces, and you can’t teach it to love you one chat at a time. AI recommends the brands the rest of the internet already talks about. So the job is to get talked about in the right places, and to make your own facts easy to find. The good news? That’s the same work that builds pipeline anyway.
Stop Talking to the Bot. Start Getting Talked About.
AI visibility isn’t a new magic trick. It’s earned with the same fundamentals as great inbound marketing and SEO, just measured in a new place.
Want to know how AI talks about your brand? Get a free AI visibility check from Digital 1.
