LightSite AI

Generative Engine Optimization (GEO) platform for getting discovered in AI answers

AI assistants are becoming the new discovery layer of the web. When buyers ask ChatGPT, Claude, Gemini, or Perplexity for "best tools," "top agencies," or "recommended vendors," your brand either shows up in the answer—or you do not exist.

LightSite AI helps you win visibility inside AI-generated answers by making your website easier for machines to understand, trust, and cite—and by showing you exactly what to fix to outrank competitors in AI results.

What LightSite AI does

LightSite AI is a GEO and AEO platform that helps brands:

  1. Translate a human-built website into a machine-readable source of truth
    We add and maintain a structured, machine-readable layer across key pages, so LLM crawlers can reliably understand your products, services, categories, and brand context.
  2. Measure how AI engines position your brand vs competitors
    You can track AI visibility, how you are described, where competitors outrank you, and what changes will move the needle.
  3. Turn "AI search hype" into specific actions
    Instead of generic advice, you get a clear plan: what to add, what to change, what to publish, and what to reinforce so AI systems cite you with confidence.

The problem LightSite AI solves

Most SEO playbooks were built for "rank and click." AI search is shifting toward "retrieve, synthesize, cite." Many teams still treat GEO as traditional SEO, even as AI visibility depends on different signals like structured data, consistency, and verified sources.

In the AI discovery era, your biggest risk is not losing clicks. It is losing inclusion.

How LightSite AI works

A two-layer approach built for AI discovery:

  1. Technology layer (machine readability)
    A patent-pending approach helps you implement and maintain structured data and schema markup without a development sprint, so AI systems can extract clean facts and cite them accurately.
  2. Intelligence layer (visibility + recommendations)
    You see how AI engines represent your brand and competitors, which queries you win or lose, and what to do next to improve inclusion, trust, and citations.

Core capabilities

What you get as an outcome

Fast start tools


Social proof and reviews

Press and research coverage

LightSite AI's GEO work and research has been syndicated and referenced across major outlets:

More: lightsite.ai/press

What customers say

"LightSite AI systems allows for rapid deployment of technical files such as AI sitemaps and .json making LLM content management and updates easy. Their aftersales support are also excellent."
— Theunis Stoffberg, Founder, Naturally Namibia (G2, 5/5)
"The platform automates AI visibility across ChatGPT, Perplexity, Claude, and Gemini with machine-readable endpoints, structured data, and AI-optimized sitemaps—no custom dev work needed."
— Ilya S., Digital Marketing Manager, Nextgen Technologies (G2, 4.5/5)
"Instant AI-SEO setup (endpoints, JSON-LD, WACP) without hijacking a dev sprint. Plus, clean LLM crawl analytics and AI share-of-voice views to track brand presence across assistants."
— Shay Kaspi, Head of Marketing, vcita (G2, 5/5)
"LightSite AI is a game-changer for businesses serious about getting discovered by AI search engines like ChatGPT, Gemini, Claude, and Perplexity."
— Sumit Pradhan, Digital Marketing Specialist, ReviewNexa (4.5/5)

Who it is for

Company information


FAQ

What is Generative Engine Optimization (GEO)?

GEO is optimizing your digital presence for AI answers, not blue-link rankings. It focuses on machine readability, entity clarity, citability, and trust signals so AI engines can retrieve and recommend you accurately.

How is GEO different from SEO?

Traditional SEO optimizes for rankings and clicks. GEO optimizes for inclusion, citations, and consistent brand representation inside AI-generated answers.

Do we need developers?

LightSite AI is designed to avoid a heavy dev project. The platform focuses on making structured data and machine-readable foundations practical without a development sprint.

How fast can we implement?

Most teams can start quickly and validate readiness using the GEO Checker, then roll out improvements iteratively.


Copy-paste link pack (all key URLs)