AI quotes will not appear in your flow dashboard. It's scattered over a conversation, and you don't look at it on your own, and you don't know if you're in ChatGPT, Perplexity or Google AI Overviews, or whether you're recommended, omitted or misspoken. Sets the AI citation warning, which is to replace the word "check manually every other time" with the word "as long as the visibility changes, the notification automatically enters your Slack or inbox".
Why is it more important than the end of the month to know?
The answer for AI has become faster than the search ranking. A model update, a competition for a well-structured comparison, and your own version of the product page could all disappear you in a few days. If it's only once a month, when you find out, it's been 30 days. And what's more urgent is that the model misstates your brand, your price, your function, and even your service industry, and that the buyer who's making the decision will take it all. The point of the immediate warning is not to keep your eyes on it, but to stop you when there's a problem.
Define what you're monitoring.
Before we do this, figure out which signals you're going to catch, or you'll be flooded by a bunch of unrelated references. The brand is mentioned by AI as actually divided into several layers, each of which is handled differently. For B2B SaaS, "recommended as a solution" and "quoted as a source" are the closest to a deal and deserve to be followed first.
- Purely: Your name appears in the answer, but it's not recommended or linked.
- The solution is recommended: AI places you in the suggested option when answering a particular request.
- Quoted as source: The answer directly quotes your content with an URL, which is the most valuable result of GEO.
- Same as competition: You're on the same list as your opponent, and then sorting and describing words is the key to winning.
- The truth is wrong: the model refers to you, but the price, function or positioning is wrong, and this level is set to be the top priority.
Create your question set
The quality of the warning system depends on the question you feed it. It doesn't make sense to ask what "Tenten GEO" is. It's your own brand word, of course. What really needs to be monitored is the question that users ask when they don't know you. A set of useful questions usually covers four angles, three or five questions each, filled in with your core keywords and target situations.
- Type-recommended: "What are the GEO agents in Taiwan who specialize in B2B SaaS? - See if you're on the list.
- Comparison: "A tools and B tools, which suits small and medium teams? - See how you're described in the context.
- Problem solver: "Ai search does not quote my website, what should we do?" -- see if your content is used as an answer source.
- Brand-testing: "What services does Tenten GEO provide, and what are the costs?" It's just that it's just a way to catch the wrong story.
Select the monitoring mode: manual, script, or tool
The same group asked that three forces could be used to run, and that costs and immediateness were significantly different. You don't have to step in, but you need to know which floor you're on and when you're going up.
- Manual periodic check: List the question groups and run and document the results every week at ChatGPT, Perplexity, Gemini. Zero costs, but slow, easy to forget, and difficult to compare with historical changes, making the starting point for less than 10 topics.
- Write a script with API: Send questions via home API on a regular basis so that the program automatically compares whether or not your brand or URL is in the answer, and as soon as it changes, a Slack or Email notice. It's not much work, but it's real quick.
- Use specialized tools: visual tracking, like Brand Radar of Tenten, will keep running your question group across the platform, sorting the reference rate, the quote rate and the competition against each other into a trend that will save the power of self-building and running.
Set trigger and frequency
Surveillance does not equal warning. You don't want to get a letter like "business as usual" every time you're done with it, and that kind of notice will soon be omitted. What really triggers the alarm is the moment of change.
- Originally quoted, this time it disappeared.
- There's a new competition in the answer.
- The model misspelled your price, function or service range.
- A platform that didn't quote you in the past began to quote you -- that's good news, worth following in.
What do you do when you get an alert?
Warnings are just the beginning. A monitoring system that does not have any follow-up action is equivalent to an effort to confirm that it was omitted. Every kind of warning should respond to a clear next step.
- Skipped: Checks if there is a clear answer structure for the page that addresses the theme, and if there are paragraphs that can be extracted cleanly, add a direct answer.
- Wrong: Go back to the source page to correct the fact, to add the schema, to align the text with what you want the model to repeat.
- The competition was quoted and you didn't: capture the quote from each other, dissect its structure, connotation angle and data density, and then make it more complete.
AI quotes are not difficult, it's difficult to turn it into a habit of watching and responding every week. If you're not sure if you're mentioned, quoted or wrong on the main AI platform, or if you don't have a set of questions that can stabilize the surveillance, you can go to /contact for a 30 minute GEO diagnosis; we'll run a round using your actual key words to show you where the gaps are.
