How to Use Prompt Intelligence to Find the Questions Worth Winning

Most teams arrive at AI visibility with the same sentence: "we are not showing up in ChatGPT." It is a reasonable worry and a useless starting point, because it does not say where you are not showing up.

AI search has no single results page to lose. There are thousands of separate questions, each producing its own answer with its own two or three cited sources. You can be the first name in one answer and absent from the next.

Prompt Intelligence exists to turn that vague worry into a list.

This guide walks through the Prompt Research screen in ApexaRank.ai the way you would actually use it — what each tab is for, which numbers matter, and how to decide what to track without filling your plan with prompts you will never act on.

What Prompt Intelligence Actually Shows You

Prompt Research answers four questions about your category:

That last one is the difference between this and ordinary keyword research. A keyword tool tells you demand exists. Prompt Intelligence tells you whether the demand is already being answered by someone else.

Before You Start

Two things need to be in place, or the numbers you see will be about the wrong business.

Prompt Research reads from the site currently selected in your workspace. If you manage several brands, confirm the active site before you interpret anything — the "You" column is checking that domain, not your agency.

Seed topics work best in the words a customer would use, not the words on your homepage. "Marketing attribution platform" is how you describe yourself. "How do I know which channel got the sale" is what someone types into an assistant. Start from the second one.

Step 1 — Discover Prompts From a Seed Topic

At the top of Prompt Research is a single search field: "Enter a seed topic or keyword to discover AI prompts." Type one subject — not a full sentence, not a list — and press Discover Prompts.

A seed is deliberately broad. You are not trying to guess the exact question; you are asking the tool to show you the questions that already exist around that subject. Good seeds look like:

Step 2 — Read the Trending Prompts Table

The first tab, Trending Prompts, is the raw landscape. Each row is one question, with six columns. They are worth understanding individually, because three of them are routinely misread.

The question as people actually phrase it. Read these out loud — they are the sentences your future customer is typing. Several of them will not match any page you have ever written.

Roughly how often this prompt is asked per month. Useful for ordering, dangerous as a target. A prompt with 12,000 uses per month that has nothing to do with buying is worth less than one with 400 that comes right before a decision.

How fast that volume is moving. This is the column most people skip and the one that ages best. A prompt at +67% is a question your category is only starting to ask — being early there is far cheaper than displacing an incumbent on a flat, crowded prompt.

Low, medium or high — how hard it looks to earn a citation here. High usually means established sources already answer it well. Treat difficulty as sequencing information, not a veto: you build credibility on low and medium prompts and spend it on the high ones.

Which assistants are answering this question. A prompt answered only on Perplexity behaves differently from one answered across ChatGPT, Gemini and Google AI Overviews — the second is worth more work.

The column everything else exists to explain: Visible or Missing. Rows where you are already cited are tinted green. Scan this column first — it takes ten seconds and reframes the whole table.

Step 3 — Work the Opportunities Tab First

The second tab, Opportunities, is the shortest path to useful work. It filters the landscape down to one situation: prompts where competitors are cited and you are not.

That filter matters because it removes two kinds of guesswork at once. The demand is proven — real people are asking. And the question is answerable — someone is already being cited for it. What is missing is you.

Each card shows the prompt, its monthly volume, a high or medium priority tag, and two lines of status: You: Not cited against Competitors: Cited. A Track button on the right sends it straight to monitoring.

Step 4 — Expand With Query Fan-Out

The third tab, Query Fan-Out, solves a problem you cannot see from the other two: you are only ever looking at the phrasings you thought of.

Give it a seed prompt and it generates the variations people actually ask around it. "Best [category] tools" fans out into "for startups", "free", "for enterprise", "with AI features", "comparison table", "most affordable", "which should I use", "top rated by users". Each variation carries its own answer and its own cited sources.

This is where content planning gets concrete. A fan-out group is usually not eight separate articles — it is one thorough page with eight sections that each answer a variation directly.

Step 5 — Track the Right Prompts, Not All of Them

Tracking is limited by your plan, and that limit is a feature. A tracked list you review is worth more than a large one you ignore.

Before adding a prompt, apply one test: if this prompt moved next week, would I do something differently? If the honest answer is no, it does not belong on the list yet.

A workable starting list for most businesses looks like this:

Including prompts you already win is not wasted budget. Losing a citation you had is the earliest signal that a competitor has published something better.

Step 6 — Read What Monitoring Reports

Once tracked, prompts move to Monitoring, which shows your tracked prompts, the schedule (last run and next run) and a Recent Changes feed. That feed reports five states:

Two of these deserve more attention than they usually get. Lost citations are urgent — something you already earned has gone, and the cause is recent. Dropped in ranking is the quiet one: you are still there, so nothing looks broken, but you are drifting toward the edge of the answer.

Step 7 — Turn a Tracked Prompt Into a Decision

A prompt on a list changes nothing. Each state maps to a different action:

Write the page. Answer the question in the first paragraph, in the prompt's own words, before any preamble about your company. The passage that gets quoted is usually the one that makes sense lifted out of the page entirely.

This is the most common case and the cheapest fix. The page covers the topic but never answers the question outright. Add a direct answer near the top, a heading that matches the phrasing, and specifics — numbers, names, conditions — that a general page cannot offer.

Find the page that used to earn it and check what changed: stale figures, a competitor publishing something more complete, or a claim that is no longer true. Refresh it before writing anything new.

Leave it alone and note what that page does well. It is your working example of the format this category rewards — reuse its shape on the prompts you are missing.

Common Mistakes

The highest-volume prompt in your category is usually definitional, heavily contested and far from a purchase. It is the last thing to win, not the first.

A full tracked list that nobody reads produces exactly as much value as an empty one, and costs more.

Eight thin pages for eight fan-out variations is how sites lose topical authority. One strong page that answers all eight is what gets cited.

A prompt list is not a report. If a month passes and no page changed because of it, the work has not started yet.

Frequently Asked Questions