Your buyers are asking ChatGPT and Perplexity about your market, and you have no idea whether the answer names your brand or praises a competitor instead.
See what AI really says about your brand
The LLM SEO Auditor runs a team of agents that ask AI tools the questions your buyers ask, then reads the answers back. It shows where models describe you well, where they get you wrong, and how rivals get framed next to you.
Maps the buyer questions to run across models
Brand named in 6 of 12 category answers
Two rivals framed as the default pick
Moderate visibility, 3 fixable gaps flagged
one run · manager plans, specialists report, you get one answer
The job, before you had a team for it.
This is the work LLM SEO Auditor quietly takes off your plate.
You cannot see the AI answers your buyers actually read
Copy-pasting prompts into five models by hand takes hours
Model replies are messy and hard to compare side by side
You find out a rival owns the answer only after losing the deal
A team of agents, not one prompt.
A manager agent reads the goal and hands each part to a specialist built for it, then reconciles their work into one result.
Plans the audit, routes each specialist, and stitches every finding into one executive-ready report
Writes realistic analyst, buyer, and investor style questions from your company, industry, and competitor list.
Runs each question across many AI viewpoints to capture how different models reason and what they emphasize.
Turns messy AI replies into a clean, structured record of positioning, capabilities, competitors, and confidence.
Finds the patterns: your strengths, your gaps, wrong facts, and how rivals are framed against you.
Rates your presence as strong, moderate, or weak across recognition, accuracy, and competitive positioning.
How it runs.
Fork it, point it at your inputs, and let the team work.
Give the team your company name, industry, and a few competitors.
The team writes buyer questions and runs them across many model viewpoints.
Replies are normalized, mined for patterns, and rated for visibility.
You get an executive summary with positioning, competitor framing, and gaps to fix.
A B2B software founder checks their AI reputation before a raise.
"Audit how LLMs describe my project management tool against Asana and Monday."
- Brand named in 5 of 12 category answers, mostly late in the list
- Pricing and free-tier facts shown as outdated in 3 replies
- Asana framed as the safe default across most buyer prompts
- Three content gaps flagged, each tied to a specific weak answer
Where teams put it to work.
Sanity-check how AI positions the brand before a raise or a big launch.
Find the exact gaps AI answers reveal, then decide what to publish next.
Prep for demos where the buyer already asked an AI about your category.
- Your company name and industry
- A short list of competitors
- The buyer audiences you care about
- An executive summary of your AI visibility
- Positioning strengths and weak spots in plain language
- How competitors are framed next to your brand
- A ranked list of gaps to fix
What is an LLM SEO audit?
An LLM SEO audit checks how AI models describe your brand across the questions your buyers ask. It flags whether you get named, whether the facts are right, and how competitors are framed next to you.
Instead of guessing what ChatGPT or Perplexity says about you, the audit reads those answers back and rates your visibility. You get a clear map of strengths, wrong facts, and gaps to fix.
Why use an agent team instead of doing it by hand?
Running the same buyer questions across many models, week after week, is slow and hard to repeat by hand. An agent team writes the prompts, simulates many viewpoints, and normalizes the messy replies into one report.
You describe your brand and competitors once. The team handles the prompt writing, the model runs, the scoring, and the executive summary, so you spend your time on the fixes, not the busywork.
New to this? Read our guide on how to build a sales battlecard.
Questions, answered.
What is LLM SEO?
LLM SEO is the practice of shaping how AI models describe your brand in their answers. It covers whether you get named, whether the facts are right, and how rivals are framed next to you.
How is this different from a normal SEO audit?
A normal SEO audit checks your rank on a results page. This audit checks how AI answers talk about you, which is where more and more buyers now do their research.
How often should I run it?
At least once a quarter, and more often around a launch or rebrand. Model answers drift as new content is trained in, so a stale check gives false comfort.
Fork LLM SEO Auditor and make it yours.
Start from a working team of agents, then swap the tools, tune the instructions, and run it in your own workflows.
Fork this template