Admati Labs GEO

AI is answering questions about your company.
Is it getting them right?

Satellite view of Earth at night showing a network of illuminated data connections and global transit lines across Europe and Africa.

We find what AI systems get wrong about your company, trace it to the source, and roadmap the correction.


THE PROBLEM

When someone researches your company through ChatGPT, Perplexity, or Google AI Mode, they may be getting information that's wrong.Wrong pricing. The name you rebranded from three years ago. Features from a previous product version. A description that sounds like your competitor.This happens because AI systems build their understanding of your company from dozens of external sources — review platforms, forum discussions, company databases, and old press mentions — not just your website. When those sources are outdated or inaccurate, the AI answer is too.The problem is invisible until someone points it out. Most companies don't know it's happening.

Satellite view of Earth at night showing a network of illuminated data connections and global transit lines across Europe and Africa.

OUR APPROACH

Step 1: We find the drift
We query multiple AI platforms using the prompts your prospects are most likely to use. We document exactly what each system says, compare it against verified facts, and identify every material inaccuracy. You receive screenshots as proof.
Step 2: We trace it to the source
AI systems pull from high-authority external sources — Reddit threads, LinkedIn posts, G2 and Capterra profiles, Crunchbase entries, Wikipedia. We check each manually and identify which ones are feeding the wrong information.
Step 3: We give you the correction plan
We deliver a prioritised action plan for every source where we found inaccuracies, starting with the sources that have the most direct impact on AI answers. We also deliver structured data files to deploy on your domain, giving AI systems a canonical source of truth.
Step 4: We come back at 60 days
We re-run the audit queries across multiple AI platforms and measure what changed. You receive a before/after progress report.


Satellite view of Earth at night showing a network of illuminated data connections and global transit lines across Europe and Africa.

WHAT WE DELIVER

Every engagement includes six deliverables:Third-party source audit — A detailed PDF documenting findings on Reddit, LinkedIn, G2, Capterra, Crunchbase, and Wikipedia, with specific correction steps for each. These are the platforms AI systems most frequently cite.JSON-LD structured data — Schema markup for your homepage and pricing page (Organization and SoftwareApplication types). Increasingly recommended as a structured signal for AI systems and search engines, and low-cost to implement.Brand entity documents — Two plain-text files (llms.txt and llms-full.txt) deployed at your domain root. The llms.txt standard is emerging —they provide AI systems that support the format a structured, on-domain signal to draw from.Implementation guide — Step-by-step instructions for your team, ordered by impact. Includes guidance on third-party platform corrections, with actions separated by what your team controls directly and what requires outreach or new content.Audit report — Full documented finding with screenshots, verified facts, impact assessment, and correction approach.Champion brief — A one-page internal document written for your CMO or VP, explaining the problem in commercial terms and documenting what was deployed.Every engagement includes a 60-day re-audit. You'll know what changed.


WHAT WE CAN'T PROMISE

We won't tell you AI will be fixed by a specific date. AI model training schedules are not public and not within anyone's control.What we will do: find every inaccuracy, document it with proof, trace it to the specific sources feeding it, and give you the clearest available path to correcting it.Companies that act quickly on the Reddit, LinkedIn, and third-party profile corrections see the fastest results — these platforms are among the most frequently cited by AI systems, making them the highest-priority corrections.


PRICING

AI Drift Audit — from $1,500
Every engagement starts with a free preliminary diagnostic. Based on what we find, we'll quote you either our Standard or Complex audit before any work begins.
Standard engagements start at $1,500. Complex engagements — where drift is found across multiple dimensions, or where a rebrand or competitive confusion is involved — are $2,500.Either way, the quote comes with the diagnostic findings so you can see exactly why.

PRELIMINARY DIAGNOSTIC

Before any engagement, we run a preliminary diagnostic — querying the most common AI platforms with prompts your prospects are likely to use. If we find material drift, we document it and send you the findings within 24 hours. No charge.If we don't find anything significant, we'll tell you.

Received. We'll have your preliminary diagnostic ready within 24 hours.