Subscription figures are provider list prices recorded in treg.to’s own catalog grid; per-call prices are what treg.to charges today, with $0.000 added.
set up treg — https://treg.to/llms.txt
Using treg, run these 12 buyer prompts through ChatGPT and Perplexity, US, web search on, and tell me for each one whether treg.to or any of Composio, Pipedream or Zapier is named, and in what position. Show me the total price before you start.
The check is only comparable week to week if the prompts do not move.
Presence on its own says little; share of the answer against named rivals is the number.
The two answer endpoints differ five times in price; the metrics call is dearer again.
Answers vary run to run. Two passes on the same day show you the noise floor.
treg.to holds the provider keys. Neither you nor the agent sees them.
The provider's own rate, $0.000 markup, from a prepaid balance.
Charged per call. $1.00 free per new team, no card to start.
Already pay Hunter? Register it and those calls are never metered.
Another provider is a different word in the prompt, not a new integration.
No SDK, no OAuth dance per vendor, no seats.
DataForSEO answers this job, at $0.00586 per call, the provider's own rate with $0.000 markup, metered from your team's balance. No account with the provider and no key of your own, unless you would rather bring one.
treg call dataforseo.x.ai-optimization-perplexity-llm-responses-live --data '[{"system_message":"communicate as if we are in a business meeting","message_chain":[{"role":"user","message":"Hello, what\u2019s up?"},{"role":"ai","message":"Hello! I\u2019m doing well, thank you. How can I assist you today? Are there any specific topics or projects you\u2019d like to discuss in our meeting?"}],"max_output_tokens":200,"temperature":0.3,"top_p":0.5,"web_search_country_iso_code":"FR","model_name":"sonar","user_prompt":"provide information on how relevant the amusement park business is in France now"}]'Every endpoint on this shelf is listed on the AI Visibility / AEO shelf.
This is the most astroturfed category on the menu: 10 of the 22 relevant posts in August 2026 were tool launches, vendor data dumps posted twice, or a vendor's employee asking the question their product answers. These four are people doing the job by hand.
“who's still manually prompting ChatGPT and Claude to check if their brand shows up in AI answers?” r/seogrowth, 22 points
What this page can do about it: This is exactly the loop an agent should own. Hand it the prompt list and the competitor names, and it runs the set through both engines and returns a table, at a few cents a prompt, on whatever schedule you give it.
“API calls on a schedule, a paid tool, something manual in a spreadsheet?” r/aeo, 16 points
What this page can do about it: The first of those three, and it is less work than it sounds. The schedule is the agent's, the API is one call per prompt per engine, and the spreadsheet is the table it hands back. Which prompts represent your buyers is still your judgement; no API makes that call.
“curious what youre actually tracking for AI citations because the methodology feels kind of made up right now” r/DigitalMarketing, 54 points
What this page can do about it: It is, a little, everywhere: a generated answer is a sample. The honest version of the metric is a fixed prompt set, run more than once, with the run-to-run variance reported next to the share. A per-call price makes the repeat runs affordable; it does not make the engines consistent.
“I ran 1,564 real ChatGPT answers through the numbers to check if its Reddit citations actually cratered” r/aeo
What this page can do about it: A self-built run with web search on, cut short at seven of ten categories when the per-call cost overran. That is the case for seeing the price before the run: the agent shows the total for the prompt set first, and a thousand ChatGPT answers here is a known figure, not an estimate.
The two live answer endpoints send your prompt to ChatGPT or Perplexity, with web search on if you ask for it and a country to search from, and return the answer as data for your agent to read: that is the check. The two mention-metrics endpoints return aggregated counts of how often a keyword or a domain appears across a platform's answers, which is the trend line. Run the first on your prompt set and the second on your domain.
On the catalog's verified rates a Perplexity answer is about half a cent, a ChatGPT answer about three cents, and a mention-metrics call about a dime. A weekly run of fifty prompts on both engines is therefore under two dollars, which is the argument against a subscription; a daily run across many domains is where the metrics call starts to matter.
The same prompt to the same model on the same day can name a different set of brands, and every engine changes what it cites without notice. Nothing on this page smooths that, and no tool that charts it can either. What the per-call price buys you is the ability to repeat the run cheaply enough to see the noise before you read a trend into it.
AI visibility tracking is the practice of measuring whether, and how, AI answer engines such as ChatGPT, Perplexity and Google's AI Overviews mention a brand when someone asks the questions its buyers ask. It borrows the shape of rank tracking, a fixed prompt set checked on a schedule, but the answers are generated rather than ranked, so the same prompt can name different brands on different days. The tools sold under this name charge a monthly subscription for running the prompts and charting the result; the underlying data is a call to the model and a count.
No. The provider calls the model's own API with web search enabled and returns the answer as structured data. You choose the model name and the country to search from. It is the same generated answer, without a browser.
No. It tells you whether you are named, in which answers, and how that count moves. Earning the mention is a content and citation problem, and the neighbouring pages on Google results and a domain's backlinks are the places to start on it.
Live answers from ChatGPT and Perplexity. The mention metrics take a platform parameter, and the catalog's verified examples use ChatGPT and Google. Gemini and Claude are not on this shelf today.
No. treg.to serves this on its own key at the provider's rate with $0.000 markup, metered from your team's balance. If you already have an account, register the key and those calls are never metered.