AI Visibility Intelligence · Prompt Research

Monitor the questions buyers actually ask. Not ones an AI made up.

Your prompt library is the foundation the whole platform runs on. GrackerAI sources the real questions your buyers ask from 23 demand partners, filters out everything that does not matter, tunes it to your industry, folds in your own search data, and ranks every prompt by what you can actually win.

Start free trial Book a Demo

7-day free trial, cancel anytime. Your library in about a minute.

23 demand partners · intent: brandcompetitorcategoryproblemvertical

soc 2 type ii vendor checklist

Real buyer question · sourced

Source Filter Tune Ground Rank

GrackerAI dashboard showing AEO and GEO citation tracking across ChatGPT, Perplexity, Claude, and Gemini

The problem with AI-generated prompts

Most GEO tools hand you a text box and a Generate button. Nobody actually asks what comes out.

A model invents plausible-sounding prompts from your domain name. You fill a dashboard with them. Every chart that follows measures demand that does not exist — your whole AI search program is confident, green, and meaningless.

Failure one

Invented, not observed

A model sits in front of your name and brainstorms. The output is fluent and fictional. You end up tracking sentences no buyer ever typed into an AI engine.

Failure two

The brand-only trap

Default to 'your brand reviews' and 'your brand pricing' and you cover a tenth of the journey. The questions where buyers are still choosing a category, where citations actually convert, stay invisible.

Failure three

The wrong mix

Too many informational or brand prompts and your share-of-voice number means nothing. Noise goes in, noise comes out, no matter how good the monitoring on top of it is.

Real demand, filtered for your category and ranked by what you can win. The foundation the rest of your AI search runs on.

How a prompt earns its place

Five steps, and not one of them is a guess

Every prompt that reaches your library has been observed in the wild, cleaned up, tuned to your field, checked against your own data, and scored against your position. Here is the path from raw demand to a ready-to-run library.

Source

Pull real questions from 23 demand partners.

Filter

Dedupe, sort by intent, and validate real demand.

Tune

Apply your industry filter, like Cyber or Fintech.

Ground

Fold in your Search Console and Bing data.

Rank

Score by demand volume and your current position.

Raw demand in. A ranked, intent-tagged library you can trust out.

The hard part we solved

The easy version of this is a Generate button. The honest version is a supply chain. We run a network of 23 data partners that continuously scan the open web, the forums, communities, review sites and search suggestions where buyers actually ask, plus the LLM ecosystem itself. The challenge is volume and freshness: pulling a live stream of real questions from that many sources, in the messy language buyers really use, and keeping it current as new questions appear.

Then the noise has to go. Raw demand is full of duplicates and junk, so the pipeline collapses near-identical phrasings into one prompt, sorts them by intent, and confirms each maps to real demand before it ever reaches you. Most of what comes in never makes the cut. That is the point.

Sourced, not invented

23 partners, watching where buyers really ask

This is the difference that decides everything downstream. Instead of asking a model to imagine what your buyers might search, we watch what they actually do. A network of 23 partners scans the open web and the LLM ecosystem for the real questions being asked in your category, in the words buyers really use.

The same research also studies how the engines themselves surface and rank products in your space, so the library reflects not just what people ask, but how AI tends to answer it.

Grounded in observed questions, never synthetic guesses
Open web and LLM coverage, so you catch demand keyword tools miss
Refreshed continuously as new questions emerge

Diagram showing 23 demand partners scanning the open web and LLM ecosystem to source real buyer questions

Filtered for quality

From a flood of raw queries to a clean, tagged set

A live stream from 23 sources is messy. The same question shows up worded fifty ways, mixed in with navigational searches and noise that has nothing to do with buying. The filter does the unglamorous work of cleaning it up.

It merges the duplicates, sorts what remains by intent, drops the junk, and confirms real demand sits behind each survivor. What reaches your library is a small fraction of what came in, and every prompt in it has cleared a bar.

Near-identical phrasings collapsed into one canonical prompt
Sorted by intent: brand, competitor, category, problem, vertical
Demand validated, so dead prompts never reach you

Funnel diagram showing raw queries being filtered, deduplicated, and sorted by intent into a clean prompt library

Headline feature

Start on the right queries on day one

Building a good library from scratch takes weeks of work most teams never finish. So for whole industries, we have already done it. A Vertical Prompt Pack is a curated, pre-built library of the questions buyers in your field actually ask, organized by category, use case, and buyer role.

The Cybersecurity pack ships first. It is built by role, because a CISO, a security engineer, and a SOC analyst ask very different things, and it is shaped by the Cyber filter, which understands CVEs, compliance frameworks, and threat language well enough to keep what is accurate and drop the generic noise. Fintech and DevTools packs are next.

Pre-built and accurate, so you monitor the right queries immediately
Organized by buyer role, not one flat list
Cybersecurity now, Fintech and DevTools planned

Illustration showing the Cybersecurity Vertical Prompt Pack organized by buyer role: CISO, security engineer, and SOC analyst

Grounded in your own data

Your real search queries, folded straight in

Search Console Bing Webmaster Tools 23 demand partners Prompt library

Partner data tells you what your market asks. Your own search data tells you what is already reaching you. The two together are far stronger than either alone, so we connect both.

Link Google Search Console and Bing Webmaster Tools and GrackerAI pulls in the actual queries driving impressions and clicks to your site. These are not predictions. They are proof of demand you are already touching, merged with the partner-sourced prompts to close the loop between what your market searches and what you choose to monitor.

Direct connection to Search Console and Bing Webmaster Tools
Real impression, click and position data per query
Your first-party demand blended with the partner network

Ranked by what you can win

Volume times position, watched over time

Chart showing prompts ranked by demand volume multiplied by position gap, with high-opportunity prompts surfaced at the top

A prompt's value is not fixed, so the library is not a flat list. Every prompt is scored on two axes: how much real demand sits behind it, and where you currently stand on it — cited, buried, or absent. The biggest opportunities, high demand where you are invisible, rise to the top on their own.

And because we track volume over time, you also see which prompts are growing, which are seasonal, and which are brand new. Your content always aims at where demand is heading, not where it used to be.

Opportunity score from demand weighted by your position gap
High-volume prompts where you are absent surfaced first
Growing, seasonal and emerging prompts flagged as they move

How it compares

A brainstormed list and a sourced library are not the same tool.

AI-invented prompts	GrackerAI prompt library
Reflect a model's imagination	Reflect observed buyer demand
Skew brand and competitor heavy	Balanced across every intent type
Generic across every industry	Tuned by industry filters and vertical packs
Ignore your real search data	Grounded in your Search Console and Bing queries
A flat, unranked list	Ranked by volume and your position
Static until someone rebuilds it	Tracks growing and emerging demand over time

In action

From signup to a library worth monitoring

Two ways teams put the library to work, whether they are starting fresh or planning what to target next.

Start on day one

A new cybersecurity vendor does not have to build a prompt list by hand. The vertical pack gets them monitoring the right questions immediately.

Load the Cybersecurity pack and connect your domain.
See your library already organized by role, CISO, engineer, analyst.
Link Search Console and Bing to fold in your own real queries.
Start monitoring accurate, in-demand prompts the same afternoon.

Plan what to target next

For an established team, the ranking and trends turn the library into a content roadmap.

Sort by opportunity: high demand where you are absent or buried.
Filter to the prompts that are growing or newly emerging in your category.
Hand the top prompts to content as a clear, prioritized brief.
Watch your position improve on the prompts that matter most.

"AI-optimized content positioned us as experts in our niche. The results have been game changing."

+73% AI visibility

+48% business impact

Edward Zhou, Co-founder and CEO, Gopher Security

What it means for your team

Spend your effort on demand that is real.

A library grounded in real demand and ranked by what you can win changes the job. Instead of guessing what to track and defending vanity charts, you point at the highest-demand questions where you are invisible, and go win them.

23 demand partners feeding your library, not one model's imagination

Day one ready-made vertical packs, Cybersecurity first

Your data Search Console and Bing queries folded in

Vol × pos every prompt ranked by what you can actually win

Runs on this

The library is the foundation. Here is what stands on it.

AI Visibility Monitoring

Every monitor runs on the prompts in your library, tracked across up to 10 AI engines.

See AI Visibility Monitoring

Competitor Monitoring

The same prompts power your head-to-head share of voice against every rival.

See Competitor Monitoring

AI Visibility Score

Your score is measured across this library, so it reflects demand that is real.

See Visibility Score

Monitor the questions buyers actually ask. Not ones an AI made up.