# AI Native

> AI Native measures and improves how AI answer engines (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) represent your brand. We track whether AI mentions and recommends you when buyers ask, show where you stand against the brands AI picks instead, and tell you which gap to close first. We separate visibility (being named in an answer) from execution (an AI agent acting on your store).

## Product

- [How AI Native works](http://app.ainative.in/how-it-works): the measure, understand, act, prove loop, run on your own brand.
- [Platform](http://app.ainative.in/platform): what the platform measures across ChatGPT, Gemini, Perplexity and Google AI Overviews, and how visibility and execution differ.
- [Use cases](http://app.ainative.in/use-cases): anonymized patterns from regulated-finance and consumer brands using AI Native.
- [Pricing](http://app.ainative.in/pricing): guided-beta pricing, set with each team, with a free walkthrough on your own brand.
- [About](http://app.ainative.in/about): who builds AI Native and why.
- [Contact](http://app.ainative.in/contact): book a walkthrough on your own brand.

## Knowledge guides

- [What the Universal Commerce Protocol (UCP) actually is](http://app.ainative.in/knowledge/what-is-ucp): The open standard that lets AI agents browse, build carts, and buy on a shopper's behalf, and what your brand has to do to be ready.
- [Is your store ready for AI shopping agents?](http://app.ainative.in/knowledge/ai-shopping-readiness): What an AI agent needs before it can recommend and buy from your store, and how to pass that bar.
- [How to earn a place in Google AI Overviews](http://app.ainative.in/knowledge/optimise-for-ai-overviews): What gets a page pulled into an AI Overview, and how to write so the model quotes you.
- [LLM SEO: optimising content for AI search engines](http://app.ainative.in/knowledge/llm-seo): How content earns mentions and recommendations inside ChatGPT, Claude, Gemini, and Perplexity, and where it differs from classic SEO.
- [The measurement-to-execution playbook](http://app.ainative.in/knowledge/measurement-to-execution): Run AI search as a loop: measure where you stand, act on one lever, and re-measure whether it moved.

## Documentation

- [Getting started](http://app.ainative.in/docs/getting-started): Create your workspace, add a brand, and run your first scan.
- [Platform guide](http://app.ainative.in/docs/platform-guide): A tour of every screen: the command center, Brand Truth Studio, and scans.
- [Understanding the metrics](http://app.ainative.in/docs/metrics): What AI share of voice, mention, and recommendation actually measure.
- [AEO and GEO learning center](http://app.ainative.in/docs/aeo-learning): Answer-engine and generative-engine optimisation, explained in plain language.
- [Questions and answers](http://app.ainative.in/docs/faq): Straight answers on engines, scanning, demo versus live, credits, and data.

## Reference

- [AI search glossary](http://app.ainative.in/glossary): plain-English definitions for AI search and answer-engine optimisation.
- [Knowledge index](http://app.ainative.in/knowledge): all guides in suggested reading order.

## About

AI Native is an AI discoverability platform. Information on this site is published ungated so it can be read, cited, and quoted by AI answer engines.