The 5 AI Prompts to Build Your LLM Visibility System
Getting cited by ChatGPT, Perplexity, and Claude is not about finding one magic keyword or publishing one great blog post. It is a system. You need to audit where you stand today, build content that fills the gaps, write it in a way that LLMs actually pull from, and publish consistently enough that your brand becomes a recognized source in your category.
The prompts below cover each stage of that system. They are the ones we use internally at Waldium and share with our customers. Copy them, adjust the brackets for your business, and run them in Claude or ChatGPT.
Prompt 1: The LLM Visibility Audit
Before you write a single piece of content, you need to know where your brand actually shows up today. This prompt turns a keyword list into a full research report on what is currently being cited for each topic.
The prompt:
I have a list of keywords in the attached spreadsheet. For each keyword, search it in ChatGPT and Claude and fill out a new tab with these columns: Keyword, Source (ChatGPT or Claude), Top Result Title, Top Result URL, Companies Cited, Specific Links Mentioned, Notes on Format.I want to understand what content is currently being surfaced for these keywords so I can find gaps for my own content strategy. Work through each keyword one by one and populate the table.
What you get: A clear map of who is being cited in your category right now, what format their content is in, and where the gaps are for your brand to step in.
A note on running this at scale: For a long keyword list, batch it into groups of 10 keywords at a time. You can also ask Claude to build a simple research tool that automates the lookup process so you are not doing it manually for every single keyword.
Prompt 2: The Knowledge Base Builder
Before you start writing content with AI, you need to train it on your business. Without this step, the AI will write generic content that sounds like your category, not like your company. This prompt builds a 15 to 20 page knowledge base document that you can feed into any AI tool as context.
The prompt:
You are going to help me build a knowledge base document for my company. Search the web for everything publicly available about [company name], including our website, LinkedIn, founder profiles, any press or social posts, and product descriptions. Compile it into a structured document with the following sections: Company Overview, Founding Story and Key Facts, Core Product and Features, Ideal Customer Profile, Key Competitors, Industry Terminology and Language, Brand Voice Examples.This document will be used to train AI to write content in our voice and about our industry. Be as specific as possible and cite where each piece of information came from.
What you get: A single document that captures everything an AI needs to know about your business before it starts writing. The more complete this is, the less back and forth editing you will need to do on every piece of content.
Tip: You can also add to this manually. Upload Slack messages, emails you have written, old blog posts, anything that reflects your actual voice and industry knowledge.
Prompt 3: Keyword List to Content Plan
Once you have your keyword list from the audit, this prompt turns it into a full content calendar with blog titles ready to brief out or write.
The prompt:
Here is a list of keywords for my company: [paste list]. For each keyword, do the following: tag it as Core (directly about our product), Adjacent (related to what our customers care about), or Problem (describes a pain point we solve). Then suggest 2 blog title ideas per keyword. Titles should be written as questions or educational statements, not marketing copy. The goal is content that educates first and positions our brand second.
What you get: A tagged, prioritized content plan with title ideas ready to go. Core and Problem keywords are usually the highest priority for LLM citations because they match how people phrase questions to AI assistants.
A note on keyword strategy for LLMs: Unlike Google SEO, you do not need to be ultra precise about search volume. LLMs respond well to holistic topic coverage. Think about use cases, industry terms, common customer questions, and adjacent topics, not just the keywords with the highest monthly searches.
Prompt 4: Competitor Q&A Mining
One of the most effective content strategies we have seen work is finding the questions people are already asking about your competitors and your category, then writing posts that answer those questions from your brand's perspective. This prompt does the research automatically.
The prompt:
I want to find common questions that customers ask about [competitor name or product category]. Search through publicly available sources: Reddit threads, G2 reviews, Quora, support forums, Product Hunt comments. Give me a list of the 15 most frequently asked questions, grouped by theme. For each question, note where you found it. I will use these to write blog posts that answer the questions from the perspective of my company.
What you get: A list of real questions your target customers are already asking. These are gold for LLM citations because they match the exact phrases people type into ChatGPT when they are evaluating options in your category.
Prompt 5: The Anti-AI Edit
AI writing has a few tells that make it obvious to readers and that can also reduce how credible your content looks to LLMs. This is the editing prompt to run after your first draft is done. It catches the most common issues without stripping out all the content.
The prompt:
Review this blog post and edit it for the following: remove all em dashes and replace them with commas or periods where appropriate. Rewrite any sentence that stands alone for dramatic effect or that feels cinematic or overly hyped. Convert any sections that are entirely bullet points into flowing prose. The tone should be clear, direct, and conversational, like a knowledgeable person explaining something to a colleague. Do not add new content, only edit what is already here.
The three things this catches:
Em dashes are one of the most common signals of AI-generated writing. They show up constantly in first drafts and are easy to miss when you are reading quickly.
Cinematic sentences are standalone lines that hype up a point, like "This changes everything." They feel unnatural in informational content and readers notice.
Bullet point overload happens when the AI structures the entire post as a series of sections, each with a bullet list. Real writing mixes bullets with prose. If the whole post is bullets, it reads like a checklist, not an article.
How These Prompts Fit Together
Think of these as a workflow, not five separate tools. Run the LLM Visibility Audit to find your gaps. Build your Knowledge Base so the AI understands your company. Use the Keyword to Content Plan prompt to build your publishing calendar. Use Competitor Q&A Mining to source high-value topics. Write your content with AI, then run the Anti-AI Edit before publishing.
The teams seeing real results in LLM citations are not doing any one of these things in isolation. They have all five running as a system, producing content consistently, and publishing at a volume that builds genuine topical authority over time.
Frequently Asked Questions
How many keywords should I start with for the audit?
Start with 20 to 30. That is enough to get a meaningful picture of your category without overwhelming the research process. You can always expand the list once you have a workflow in place.
Do I need to use these prompts in a specific AI tool?
No. They work in Claude, ChatGPT, and most other major AI assistants. The knowledge base and visibility audit prompts work especially well in Claude because of its longer context window, which means it can handle larger documents and longer keyword lists in a single session.
How often should I run the LLM visibility audit?
Once a month is a good cadence. LLM citation patterns shift as new content is published and as the models update. A monthly check helps you see what is working and where new gaps have opened up.
How long does it take to see results after publishing content?
LLM citations can appear faster than Google rankings, sometimes within a few weeks for well-structured content. Google SEO typically takes 3 to 6 months to show meaningful movement. The key is consistent publishing over time, not waiting for one post to perform.
If you want help setting up this system for your business, that is exactly what Waldium does. Reach out at priyanka@waldium.com.
