Citation Stack, step 1
AI prompt research for the questions buyers ask AI.
LLMReach identifies the fifty prompts your buyers use in ChatGPT, Claude, Perplexity and Gemini before they decide. You agree the list with us before work begins, and the system is built around it.
The problem
Without the right prompts, you optimize blind.
- One answer: Assistants return one answer with a few sources, not ten links. A brand that is not cited is not considered.
- Rivals: Rivals named for your category take the shortlist before a buyer reaches your site.
- Keywords: A keyword list is not a prompt list. Buyers ask assistants full questions, and LLMReach starts from those prompts: the work begins with the prompts your buyers use and ends with citations you can measure.
- Evidence: Rankings do not predict citations. In LLMReach's October 2026 test of 249 buyer questions, 13% of cited sites ranked in Google's top 10 for the same question.
AI engines cite. They do not rank. The work starts with the prompts your buyers use and ends with citations you can measure.
Our own results
We do this for our own brand first.
Gemini · Named
“best agency for getting cited in LLMs”
ChatGPT · Named
“agency that gets you cited in AI models”
ChatGPT · Named
“best agency for getting cited in LLMs”
AI answers vary by platform and moment, so these show the method working on those days, not a promise of identical answers.
See all resultsWhat you get
A prompt set you agree before work begins.
Identifying your buyer prompts is the first step of the work. The free AI visibility audit gives you a first view on 50 buyer prompts.
- Fifty buyer prompts: the questions your buyers ask before they decide
- Prompt mapping across ChatGPT, Claude, Perplexity and Gemini
- Prompt volume and buyer intent, used to define each prompt
- A prompt-level gap map showing where your brand is missing
- Competitor citation intelligence: who is cited and from which sources
- An AI share of voice baseline against your competitors
- A prompt tracking plan for your category
- Your sign-off on the final prompt set before work begins
How it works
How LLMReach maps your buyer prompts, step by step.
- 01
Prompt research
We research your buyers' prompts in depth and define each one by its search volume and buyer intent. The result is fifty prompts that matter to your category.
- 02
Technical optimization
Technical optimization (step 2) starts from the pages these prompts should reach, so crawlability and schema work targets pages that matter.
- 03
Content
Content (step 3) is written for the prompts agreed here. Without the list, pages answer questions nobody asked.
- 04
Reddit authorityReddit authority (step 4) uses the same buyer questions to decide which communities are worth entering.
- 05
Visibility tracking
Visibility tracking (step 5) counts citations across the agreed prompts against a baseline taken before work begins, with weekly updates and a review every two weeks.
The prompt set is the spine of the Citation Stack. It does not work alone: it tells the other four steps where to aim, and they turn it into citations.
Who this is for
Built for teams whose buyers already ask AI.
This first step pays off where buyers research with AI before they contact sales, and where you can act on a clear roadmap.
Not for you
If any of these are you.
- You expect results in a few weeks
- You can't share site access or approve copy
- You want a report, not the work
- Your buyers never research before they buy
For you
If this is you.
- Buyers use AI to research before contacting sales
- You can name two or three competitors
- You want the work done for you, not another report
- You're ready to commit to a 90-day window
FAQ
Questions about mapping the prompts your buyers use.
What does LLMReach's first step identify?
LLMReach identifies the fifty prompts your buyers use in AI assistants before they decide. We agree the list with you before work begins, and the whole system is built around those prompts.
How is this different from keyword research?
LLMReach starts from the questions buyers type into ChatGPT, Claude, Perplexity and Gemini, not from search terms. In LLMReach's October 2026 test of 249 buyer questions, only 13% of cited sites ranked in Google's top 10.
How does AI prompt volume factor in?
Once the engagement starts, LLMReach researches prompts in depth and defines each by its search volume and buyer intent. Volume and intent decide which prompts make the fifty-prompt set that results are measured against.
What does prompt mapping deliver?
Prompt mapping gives you a prompt-level gap map across ChatGPT, Claude, Perplexity and Gemini, plus competitor citation intelligence showing who is cited and from which sources.
Is the free audit the same as the full first step of the engagement?
No. The AI visibility audit is a diagnostic run on 50 buyer prompts. The first step of the engagement goes deeper: the prompts are researched in depth and defined by volume and intent.
How do you track AI prompt performance?
LLMReach measures AI visibility with its own internal AI visibility tracker, monitoring AI platforms for mentions and citations. Each citation is captured with the exact prompt, platform and capture, against a baseline set before work begins.
Why does mapping buyer prompts not work alone?
Identifying the prompts only defines the targets. Technical optimization, content, Reddit authority and visibility tracking turn those prompts into citations. Reddit alone cannot carry results either, and no single step carries the outcome.
What do you need from me to start?
Just your website URL and the names of two or three competitors. The strategy session is free and carries no obligation, and the audit and roadmap are delivered at no cost.
Free AI Audit
Find the prompts you should be cited for.
You leave knowing where the gap is, what is causing it, and which changes would matter first, whether we work together or not.
What to expect
Audit
Before the call, we run your buyers' questions through ChatGPT, Claude, Perplexity and Gemini.
Map
On the call, we show you where competitors are cited and you are not, and what's causing it.
Decide
An honest read on whether the Citation Stack fits. If it doesn't, you'll hear it on the call.
Don't see a time that works? Email Karim directly: contact@llmreach.ai