How to generate leads from ChatGPT, Perplexity, and other LLMs in 2026
A practical 70+ page report on how to storm into a new customer acquisition channel for custom software development.
LLM Marketing for
Software Development Companies
Your competitors are already getting clients from ChatGPT and other LLMs.
Here’s the proof from reviews on Clutch:
What's inside the report:
  • Chapter 1
    How to get into an LLM’s “knowledge map” and become a trusted source
    • What is an LLM “knowledge map” and how is it formed?
    • How LLMs distribute focus across sources like Bing, Google, Wikipedia, LinkedIn, Reddit, etc.? (Spoiler: unevenly)
    • How can software development companies become part of Google’s Knowledge Graph?
    • Wikipedia: how can software development companies get in?
    • How to establish a presence on Reddit?
    • Why maintaining data consistency (NLP-consistency) is crucial?
  • Chapter 2
    Securing top positions in Bing and Google TOP-10 for LLM-driven queries
    • What is search result cannibalization?
    • How to secure positions in Bing and Google TOP-10 for LLM-trigger queries?
    • TOP-10 Bing/Google audit: how to analyze and measure results?
    • How to turn a single keyword into a page ecosystem and own the entire cluster?
  • Chapter 3
    How to make your company’s guides and case studies visible to LLMs
    • How to prepare proper case studies?
    • How to use AI to analyze competitors’ case studies?
    • How to structure content for maximum LLM comprehension (AI Answer Summary)?
    • How to expand the digital presence of case studies via blog posts on similar keywords?
    • How to maintain relevance so models see you as “active”?
    • How often should content be updated?
    • How to connect case studies, blogs, and landing pages so LLMs perceive you as an ecosystem?
    • How to leverage LinkedIn Pulse and Newsletters to increase case study visibility?
    • How to boost case study presence via Medium?
    • Perplexity Pages: how to highlight company case studies in AI knowledge bases?
    • How to work with backlinks and mentions to anchor case studies within the LLM ecosystem?
    • Strategic advantage through OpenAI partnerships
  • Chapter 4
    Technical infrastructure for LLM optimization
    • How to use structured data (Schema.org)?
    • How to use sitemaps and control indexing?
    • How do sitemaps work for LLMs and search engines?
    • How to use LLMS.txt?
    • How to properly format LLMS.txt?
    • How to leverage Google Business Profile (formerly Google My Business)?
  • Chapter 5
    Monitoring, KPIs, and Iterations
    • How to track traffic from LLMs?
    • How to monitor citations in AI reviews?
    • How to manually check results on AI platforms?
    • How to account for “Source Not Set” in analytics?
    • How to use tools for AI-readiness and ranking?
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