What LLM Prompts Should I Track For My Brand?

Part 1 of GEO Strategy Playbook

30-Second Rundown

Key learnings:

• The average length of an informational prompt in ChatGPT is 31.2 words (source), because people talk to LLMs like humans, not databases. Your old keyword strategy was built for a different species of search behavior.
  
  
• Eugene Schwartz’s five awareness stages (Unaware, Problem Aware, Solution Aware, Product Aware, Most Aware) will help you predict what language a buyer uses at each point in their journey. Map your prompts to those stages and you can stop guessing about intent.
  
  
• Real prompt language lives in Reddit threads, Google Search Console data, and sales call transcripts, not in internal brainstorming sessions. Mine it where it already exists.
  
  
• Pick your top 10 products or services. For each product or service, create a list of 5 prompts covering each of the five awareness stages. A focused list of 250 prompts beats a bloated list of 1,000 every time. Prioritize by awareness stage fit, business impact, and actual search demand.

This week: Pull your last 90 days of Google Search Console query data and sort by impressions. Pick five queries consisting out of 6 words or more. Those are your first real AI prompts. Map each one to an awareness stage and you have the start of a strategy that actually reflects how your buyers think.

The next 3 months: Expand your prompt list to cover all five awareness stages for your 10 most popular products or services, validate each prompt against keyword demand data found in the Ahrefs Keyword Explorer or equivalent, and begin tracking your brand mentions across at least three LLMs (e.g. Google AI Overviews, ChatGPT, Gemini). By month three, you should have a clear picture of where you own visibility and where you are invisible.

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Fourteen years of keyword spreadsheets.

I’ve watched entire SEO teams treating search like a vending machine: put keyword in, get traffic out. Then AI search arrived and blew the candy machine through the wall.

I’ve spent serious time mapping how real humans talk to LLMs, reverse-engineering why some brands show up in ChatGPT like they own the place while others are invisible as a rumor.

The teams winning at AI visibility aren’t optimizing for more prompts. They’re optimizing for smarter ones. Organized around how human awareness actually evolves.

Most SEO teams are overbuilding prompt lists because they are underthinking human psychology.

The Difference Between SEO Keywords And AI Prompts.

Nobody threw a funeral for keyword-based SEO.

There was no eulogy, no flowers, no weeping copywriters huddled around a gravestone that read “best running shoes, 2010–2025.” It just stopped breathing one day and most people pretended not to notice.

The shift from keywords to prompts is not a minor update to your workflow. It is a complete rewiring of how you understand human search intent.

Where keywords were blunt instruments, 2 – 4 words swung like a hammer, prompts are full sentences dripping with context and emotion.

The data backs this up with the enthusiasm of a bar tab nobody wants to pay: the average length of an informational prompt (prompts starting with who, what, when, why, where or how) in ChatGPT is 31.2 words (source).

Data source

65-85% of prompts are in conversational language (source).

People are thinking out loud to a machine that talks back. They are not searching. They are confessing.

The old game was matching words. The new game is matching minds.

If your team has not updated the rulebook, you are playing checkers inside a chess tournament.

Eugene Schwartz Mapped This Territory Before the Internet Had a Name.

Eugene Schwartz was a direct response copywriter who understood buyer psychology at a molecular level.

In his 1966 masterwork Breakthrough Advertising, he outlined five stages of customer awareness that remain the sharpest thinking in the field.

Unaware. Problem Aware. Solution Aware. Product Aware. Most Aware.

Each stage describes a different psychological relationship between a person and their problem. Each stage produces fundamentally different language. Each stage demands a completely different content response.

How Understanding The Stages Of Awareness Helps You Find Prompts Worth Optimizing For.

Here is where the rubber meets the road at ninety miles an hour.

The Unaware Stage is the person who does not yet know they have a problem.

Their prompts describe symptoms, not diagnoses. They ask things like “Why does [symptom] happen?”

These people are not looking for your product. They are looking for an explanation of their discomfort. Show up here and you earn trust before the competition has even entered the room.

The Problem Aware Stage is where the pain is real but the solution is still a fog.

Prompts sound like: “How do I fix [problem]?” or “Best ways to improve [pain point].”

This is where educational content and authoritative guides do their best work. You are the person who hands someone a map when they are lost.

The Solution Aware Stage is where things get interesting and competitive.

The user knows solutions exist but has not committed to a category yet. They ask: “Best [product] for [solution].”

If you are not showing up at this stage, you are invisible at the exact moment someone is deciding which direction to walk.

The Product Aware Stage is comparison shopping conducted through an AI engine.

Prompts like “[Brand] vs [competitor]” and “Alternatives to [competitor]” are the sound of someone who has narrowed the field and is running background checks.

This is the stage where precision beats volume.

The Most Aware Stage is the five-yard line.

The user is ready to act and is tying up loose ends. They ask: “Is [brand] good for [specific need]?”, “[Brand] pricing”, and “Is [Brand] worth it?”

Not showing up here is the search equivalent of closing your store during the lunch rush.

Seven Places You Can Find Real Customer Prompts.

You cannot invent the language your customers use. You can only find it where it already lives:

• Reddit
• Google Search Console
• Google Ads search term reports
• Google’s People Also Ask boxes
• Keyword research tools
• AnswerThePublic
• Customer service transcripts & sales call recordings

Reddit is a gold mine of unfiltered human panic and curiosity. The threads where people describe their problems in the dark, without marketing polish, are the most accurate prompt research available on the internet.

Google Search Console shows you the actual queries driving traffic to your existing content, which is the closest thing to a confession you will ever get from an algorithm.

Google Ads search term reports, People Also Ask boxes, keyword research tools and AnswerThePublic all surface the same thing: real language from real humans at real stages of awareness.

Customer service transcripts and sales call recordings are perhaps the richest source of all, because the language used when someone is frustrated or confused is the exact language they will type into an AI engine at midnight.

Long-Tail Prompts Without Demand Data Are Just Creative Writing.

Here is a trap I have watched smart teams fall into with alarming frequency.

They mine beautiful, psychologically rich prompts from the sources above, build expansive lists, and then discover that half the prompts have no measurable search volume. They have built a cathedral in a city nobody visits.

Long-tail prompts need to be anchored in demand reality. Tools like the Ahrefs Keyword Explorer allow you to assess the traffic potential of keyword clusters that map to your AI prompts. The logic is simple: a prompt with zero keyword proximity to any search demand is a prompt you are tracking for vanity, not visibility.

Pair your psychological insight with traffic data. The intersection of real human language and real human volume is where your best prompt coverage lives.

Prompt examples with demand validation:

The first two prompts connect to real keyword demand. The third is psychologically valid but commercially invisible. Cut it until the category grows.

How To Deduplicate Your Prompt List?

The instinct when building a prompt list is to make it comprehensive. Resist this instinct the way you would resist a second round of tequila before a job interview.

Duplication is the silent killer of prompt strategy.

When five prompts are essentially asking the same question in slightly different clothing, you are creating tracking overhead without strategic clarity.

Cluster by intent before you finalize any list. Group prompts that represent the same awareness stage and the same underlying question, then pick the best representative from each cluster.

Prioritize by three axes: awareness stage relevance to your business, business impact of ranking at that stage, and actual demand signals from keyword data.

Everything else is decoration.

How To Score Prompts And Decide Which Ones To Track?

I use a simple scoring model that has saved me from countless bloated lists.

Each prompt gets evaluated on awareness stage fit, business relevance, search demand signal, and competitive opportunity.

Prompts that score low across multiple dimensions get cut without ceremony.

This is not cruelty. This is focus.

A tight list of 250 high-scoring prompts will outperform a sprawling list of 1,000 mediocre ones every time, because focus drives consistent execution and consistent execution is what actually moves visibility metrics.

Answer the hard questions before you track: why does this prompt matter, what stage of awareness does it represent, what do I do with the data when I get it?

Prompt scoring examples:

How Often Should You Review Your Prompt List?

A prompt list built in 2026 is a period document by 2031.

The language people use to describe their problems evolves with market conditions, product category maturity, news cycles, and the slow drift of cultural vocabulary.

Build refresh cycles into your process the way a surgeon builds sterilization into theirs, not as an afterthought but as a structural requirement.

Review your prompt list quarterly against new Google Search Console data, new Reddit threads, new competitor moves, and new product developments.

When your product changes, your Most Aware stage prompts need to change immediately. When a competitor launches, new comparison prompts enter the field within days.

Language evolution is slow but relentless. The prompt that perfectly captured how your audience described their problem six months ago may now sound like a foreign accent to the machine.

Hard-Won Tips From Someone Who Has Done This the Wrong Way First.

• Start small. Five solid prompts covering each of the five awareness stages is a better starting point than 1,000 prompts covering two stages with extensive redundancy.
  
  
• Focus early attention on unbranded prompts. These are the highest-leverage visibility opportunities because they catch buyers before they have formed brand preferences. Winning at the Problem and Solution Aware stages is the closest thing to free market share that exists in AI search.
  

• Mine real language. Your instinct about how customers describe their problems is almost certainly wrong in at least three important ways. The actual language is always stranger, more specific, and more emotionally charged than the sanitized version that emerges from internal workshops.
  
  
• Validate that your prompts connect to real search demand. Use the Ahrefs Keyword Explorer or equivalent tools to find the keywords closely related to your prompts.

The Vector Gazette Is Where the Sharp Operators Go to Stay Dangerous.

The people who are building durable visibility in AI search are not attending conferences and writing it down on hotel notepads.

They are reading deeply, thinking independently, and testing obsessively. The Vector Gazette exists for exactly these people.

If you want to stay ahead of how AI search is reshaping visibility strategy, this is where the thinking happens before it becomes conventional wisdom.

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The Brands That Win Will Track Intent, Not Just Prompts.

AI prompts are expressions of human psychology in motion.

They reveal where someone is in their understanding of their own problem. That demands a framework built for minds, not machines.

Eugene Schwartz gave us that framework sixty years ago. The five stages of awareness map directly onto the prompts your buyers are feeding into ChatGPT right now.

Build your strategy around those stages and you track intent instead of queries.

Mine real language. Anchor it in demand data. Measure what actually matters.

FAQs

What is prompt tracking in AI search?

Prompt tracking is the practice of monitoring how and where your brand, product, or content appears in AI-generated responses when users enter specific queries. Instead of tracking keyword rankings in a traditional search engine, you track AI engine responses to full-sentence prompts that reflect real user intent. It is the visibility intelligence layer for the era of conversational search.

How is prompt tracking different from keyword tracking?

Keyword tracking monitors your position in search engine results pages for specific two to four word terms. Prompt tracking monitors your presence inside AI-generated answers to full-sentence, conversational queries. The key difference is not just format but intent depth. Prompts carry psychological context that keywords never could, revealing not just what someone wants but where they are in their understanding of their own problem.

Why are AI prompts longer than Google searches?

Because people talk to AI engines the way they talk to a knowledgeable person, not the way they talk to a database. When you search Google, you have been trained over decades to compress your need into a short query. When you talk to ChatGPT, that constraint evaporates. The result is prompts full of context, emotion, and qualifying detail that short keywords never captured.

How do Eugene Schwartz awareness levels apply to AI prompts?

Schwartz identified five stages of buyer awareness: Unaware, Problem Aware, Solution Aware, Product Aware, and Most Aware. Each stage produces distinct language patterns. An Unaware user asks about symptoms without naming the problem. A Most Aware user asks about your pricing. AI prompts naturally sort into these stages because they reflect actual mental states. Building your prompt list around awareness levels means you are tracking intent at every stage of the buyer’s psychological journey, not just the bottom of a funnel.

Should I prioritize unbranded prompts?

Yes, especially early in your AI visibility strategy. Unbranded prompts target the Unaware to Solution Aware stages, where buyers have not yet formed brand preferences. Showing up here builds familiarity and trust before the comparison shopping begins. It is the highest-leverage opportunity in AI search because the competition for unbranded, early-awareness prompts is far lower than the competition for branded comparison queries.

How do I find real prompts users ask?

Mine them from where humans actually speak without filters. Reddit threads, particularly in subreddits related to your industry, are the richest source of authentic problem language. Google Search Console shows actual queries driving traffic to your site. People Also Ask boxes in Google surface adjacent intent patterns. AnswerThePublic visualizes question clusters around your core topics. Sales calls and customer service transcripts are the most criminally underused source of all.

How do I prioritize which prompts to track?

Score each prompt on four dimensions: awareness stage alignment with your content capabilities, business impact of visibility at that stage, search demand signal from keyword research tools, and competitive opportunity. Cut anything that scores low across multiple dimensions. A focused list of high-scoring prompts will generate more actionable intelligence than an exhaustive list of mediocre ones. Prioritize ruthlessly, especially at the start.

Can I use SEO tools like Ahrefs for prompt research?

Yes, and you should. While Ahrefs’ Keyword Explorer and similar tools are built for keyword research, they provide critical demand validation for your prompts. Map your prompts to related keyword clusters and use Ahrefs to assess traffic potential. This prevents you from building an elaborate tracking infrastructure around prompts that no actual human is entering into any engine. Demand data keeps your prompt strategy grounded in reality.

How often should I update my prompt list?

Quarterly at minimum, with immediate updates triggered by product changes, major competitor moves, and significant industry developments. Language evolves, market conditions shift, and the prompts that perfectly captured your audience’s problem language twelve months ago may already feel dated. Build the refresh cycle into your process as a structural requirement, not an afterthought. Set a standing calendar review and treat it with the same seriousness as your revenue reporting.

How do I connect prompt tracking to business results?

Track the metrics that map to business outcomes: mention frequency across target prompts, sentiment of those mentions, citation of your content as a source, and competitive share of voice in AI responses. Then connect those metrics to pipeline data. Are leads coming in who reference AI search as a discovery channel? Are conversion rates higher among users who found you through an LLM response? The connection between prompt visibility and revenue is traceable if you build the attribution infrastructure to trace it.