AI prompt research: which prompts are worth tracking, and why.

AI prompt research is the work of finding which questions people put to AI assistants and answer engines such as ChatGPT, Claude, Gemini, Grok, Perplexity and Microsoft Copilot about a market, so you know which AI prompts are worth tracking. RankX AI ranks each candidate question by relevance, an estimate of demand, the kind of question it is, and whether you already track something like it. Every question you keep becomes a tracked prompt, checked on the assistants and schedule you set for it, and every question you reject is remembered so it is never offered again.

No, and nothing on this page will tell you otherwise. An estimate of how often this is asked, modelled by our data provider from Google's People Also Ask results. It is not a count of ChatGPT or Gemini queries. No product can count queries inside ChatGPT or Gemini, because none of them publishes that data to anybody. What the estimate is good for is ORDERING: it separates a question people demonstrably ask in public from one somebody invented in a meeting, which is the decision you are actually making.

Keyword research tools read what people type into a search box and count it; prompt research finds what people ask an assistant and estimates it. A keyword is a two or three word phrase with a measured search volume and a search intent label. A prompt is a conversational question, often ten words or more, and no assistant publishes how often it is asked, so every prompt figure anywhere is modelled from something else. RankX AI runs both from the same seeds and the same 94 markets and links each to the other, because the searches worth chasing and the questions worth tracking are rarely the same list.

35 credits per run, up to 8 seeds, on every plan, from the same balance everything else spends. A run that returns nothing usable is free, and so is repeating a recent search with the same topics, market and options, because no fresh provider work is done. The 7-day trial carries 1,000 credits, which is 28 runs if you spent them on nothing else, and Starter starts at $49 a month with 5,000 credits. The cost that matters more comes after: tracking a kept question costs 5 credits per assistant per check, on the assistants and schedule you set for it, which is the bill this research exists to spend well.

One of three things, and RankX AI keeps them apart because they lead to different decisions. An estimate means the provider modelled a figure, including a modelled zero. No estimate means it has nothing for that question, which is not the same as nobody asking. Could not be checked means the lookup itself failed on that run, which is our fault and not the data's. Only the first sorts.

You are not charged. RankX AI takes the credits only when at least one question is saved to your review queue, so a seed that returns nothing usable costs you nothing even though the provider call was still made and paid for. That is deliberate: a run that produced no product should not be billed however correct the machinery was.

Two steps, and they are two features. AI prompt research finds the questions people ask about your market and lets you keep the ones worth measuring. AI visibility then asks each kept prompt on the assistants you pick for it, out of ChatGPT, Claude, Gemini, Grok, Perplexity and Microsoft Copilot, on the schedule you set for it, and records whether the answer names you, cites you and what it says, so the prompts that mention your brand are the ones whose checks come back with a mention. Read the trend over weeks rather than one answer: SparkToro and Gumshoe ran 12 prompts 2,961 times in 2026 and found under a 1 in 100 chance of the same brand list twice. Google AI Overviews is read separately, on your tracked keywords.

Track them, reject them, or leave them. Tracking a question adds it to your checked prompts and files it under a topic cluster in the same step, so the measurement and the content plan start from one decision. Rejecting keeps the question in a rejected view so it is never offered to you again, and a rejection can be restored if you change your mind.

It flags them instead. Every candidate is compared against the prompts on your project, and a near-duplicate is marked as one before you spend anything. That matters more than it sounds: a tracked prompt is a recurring nightly cost on every assistant, so the cheapest question RankX AI can find is the one it stops you tracking twice.

Start with two or three seeds at 25 questions each, keep the ten to twenty with the best scores across more than one shape, and run again when you add a service, enter a market or notice a shape you track nothing in. Published vendor guidance ranges from 20 to 40 prompts (SE Ranking, 2026) to a few hundred (Profound, 2026). The right number is the one whose nightly bill you will keep paying, which is the arithmetic RankX AI puts beside every candidate before you keep it.

Yes. A niche market returns smaller demand figures, and RankX AI keeps every question it finds: one the provider prices at nothing is scored on relevance, shape and source, marked partial, and sorted below the priced rows rather than dropped. RankX AI covers 94 markets, each with its own languages, and a run that finds nothing usable is not charged, so trying a narrow seed costs nothing when it comes back empty.

Every one of them, the trial included. There is no separate research add-on and no per-seat fee, and your credit balance is visible before you search rather than after.

Five things, stated on the page rather than in a sales call, whether the tool calls it prompt research or prompt discovery. Where the demand figure comes from, because no assistant publishes query counts and a tool that says real without a method is asking for trust it has not earned. Whether an absent estimate is kept apart from a zero. What a run costs, and whether an empty run is charged. Whether it flags questions you already track. And whether a kept question becomes a tracked prompt in the same tool or a spreadsheet you retype. RankX AI answers all five on this page.

They are the two halves of one job. AI prompt research decides WHICH questions are worth measuring; AI visibility measures how you do on the ones you chose, night after night, across every assistant RankX AI tracks. Research is a search you run when you need new questions, at up to 25 a seed; visibility is the standing measurement underneath. Neither is much use without the other.