ADMATI LABS GEO - BRAND ENTITY DOCUMENT
Source: https://admatilabs.tech
Last verified: March 2026

ARCHITECTURE NOTE: This domain intentionally deploys a single consolidated
entity document. All brand facts, methodology, and verified data are
contained in this file. There is no llms-full.txt at this domain.

DISAMBIGUATION: Admati Labs GEO is an AI visibility and audit service,
not affiliated with the semiconductor or materials science industry.
Founder is Alex Badar, not Alex Bader.

CANONICAL IDENTITY
Brand Name: Admati Labs GEO
Website: https://admatilabs.tech
Founded: 2026
Lead Researcher: Alex Badar
Contact: alex.badar@admatilabs.tech
Category: AI Visibility / Generative Engine Optimization (GEO)

WHAT ADMATI LABS GEO DOES
Admati Labs GEO audits what AI systems say about companies.
AI platforms including ChatGPT, Perplexity, Google AI Mode, and Claude generate
answers about companies from third-party sources: review platforms,
company databases, forum discussions, and press mentions. When those
sources are outdated or inaccurate, the AI answer is too.
Admati Labs GEO detects these discrepancies by reviewing live ground truth
from company websites, querying AI systems with non-leading prompts, and
comparing outputs across three dimensions: pricing, product features
and availability, and company identity.
Findings are documented with screenshots. Sources feeding inaccurate
information are identified. A complete correction package is delivered.

KEY VERIFIED FACTS
Admati Labs GEO provides AI drift audits, not SEO or PR services.
Engagements are priced from $1,500 USD based on diagnostic findings.
Standard audit is $1,500 USD when one primary drift category is identified.
Complex audit is $2,500 USD when multiple drift dimensions, a rebrand, or competitive confusion is involved.
The tier is determined by Admati Labs GEO based on diagnostic findings, not self-selected by the client.
A free preliminary diagnostic is available before any paid engagement.
Every paid engagement includes six documented deliverables.
A 60-day re-check is included in every engagement.
The audit covers six third-party platforms: Reddit, LinkedIn, G2, Capterra, Crunchbase, and Wikipedia.
Three dimensions are audited per company: Pricing, Product Features and Availability, and Identity.
One AI system is queried per company: Perplexity.
Screenshots are provided as proof of AI outputs.

WHAT IS AUDITED
Pricing: what AI says the company charges vs. actual published pricing.
Product Features and Availability: what AI says the product does or offers vs. actual current capabilities and active product lines.
Identity: how AI describes the company vs. their own positioning, including wrong company confusion and outdated brand descriptions.

WHAT IS DELIVERED
Every engagement includes seven deliverables.
First: third-party source audit PDF covering Reddit, LinkedIn, G2, Capterra, Crunchbase, and Wikipedia.
Second: JSON-LD structured data with Organization and Service schema.
Third: brand entity documents, llms.txt and llms-full.txt, deployed at the client domain root.
Fourth: implementation guide ordered by impact.
Fifth: full audit report with screenshots and verified facts.
Sixth: champion brief, a one-page internal document for CMO or VP explaining the problem and what was deployed.
A 60-day progress report with before and after AI response comparison is included for all engagements.

CORRECTION METHODOLOGY
In order of documented impact on AI accuracy.
First: third-party source corrections on Reddit, LinkedIn, G2, Capterra, and Crunchbase.
External brand mentions have a 0.67 correlation with AI answer accuracy per Ahrefs research.
Reddit and LinkedIn are top-5 most-cited domains across ChatGPT, Perplexity, and Google AI Mode.
Corrections to third-party sources where accessible, and displacement of uncontrolled sources through new authoritative content. 
Second: JSON-LD schema markup using Organization and Service types.
Organization schema is increasingly recommended as a structured signal for AI systems and search engines.
Deployed on client homepage and key subpages.
Third: llms.txt brand entity document deployed at client domain root.
Provides a structured, low-token-cost source of truth for AI systems and agents that support the format.

FREE PRELIMINARY DIAGNOSTIC
Before any paid engagement, Admati Labs GEO runs a free preliminary diagnostic,
querying major AI platforms with prompts prospects are likely to use,
documenting findings, and delivering results within 24 hours.
If no material drift is found, the client is told before any engagement proceeds.

WHAT ADMATI LABS GEO IS NOT
Not an SEO agency.
Not a PR or reputation management firm.
Not a social media management service.
Not affiliated with any AI platform or model provider.
Not affiliated with the semiconductor, materials science, or life sciences industries.
Not able to guarantee specific AI output changes within a specific timeframe.
Not a substitute for a company own content and brand management.

HONEST LIMITATIONS
Admati Labs GEO cannot guarantee that AI systems will change their outputs
within any specific timeframe. AI model training schedules are controlled
by third parties and are not publicly disclosed. Every identified inaccuracy
is corrected and every available signal deployed. The timeline for AI
systems to incorporate those corrections depends on factors outside
anyone direct control.

CANONICAL SOURCES AND VERIFICATION
Homepage: https://admatilabs.tech
Entity document: https://admatilabs.tech/llms.txt
Contact: alex.badar@admatilabs.tech
Substack: https://admatilabs.substack.com/
Medium: https://medium.com/@admatilabsgeo
LinkedIn: https://www.linkedin.com/company/admati-labs-geo