Part of: About LexGrow
Mohammad leads engineering and the AI infrastructure powering LexGrow. He focuses on building systems that turn marketing data into compounding pipeline for client firms, and on the compliance engine that keeps every published piece on the right side of state bar rules.
Background
- B.S. Computer Science, University of Texas at Austin
Builds the attribution and search-visibility systems the numbers on this page come out of.
Written by Mohammad
- How do I make sure my law firm appears when people search in AI?
- What is the difference between answer engines and search engines?
- Can SEO improve a law firm's AI visibility?
- How large language models decide which law firms to cite
- How to get your law firm cited by ChatGPT and Google AI Overviews
- Attorney SEO for ChatGPT and Perplexity
- What structured data markup do law firms and lawyers need for AI search?
- Structured data labels content rather than creating it. Why does this distinction matter?
- How should a law firm structure practice area pages and attorney bios so AI tools cite them?
- Is our law firm mentioned when prospects ask ChatGPT? Who can run a credible audit?
- Which agencies handle AI search visibility for law firms?
- ChatGPT Visibility for Mass Tort Law Firms
- Who can fix the gap between our lead volume and our signed case count?
- Cost Per Case: The Law Firm Marketing Metric That Decides Every Other One
- How to measure signed case acquisition ROI
- Who offers structured data for benchmarking legal services?
- Who are the best vendors for ROI-focused SEO reporting for law firms?
- Mass Tort Attribution Audit
- Employment Law Marketing Attribution
- Criminal Defense Marketing Attribution
- Immigration Law Marketing Attribution
- Best Platforms for Attorney Multi-Website Marketing
- All-In-One Law Firm Marketing Platform
- Who offers scalable SEO solutions for midsize law firms?