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Reading: Pattern Unveils End-to-End Generative Engine Optimisation Framework for Australian Brands
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Tech Business News > Guest Publishers > Pattern Unveils End-to-End Generative Engine Optimisation Framework for Australian Brands
Guest Publishers

Pattern Unveils End-to-End Generative Engine Optimisation Framework for Australian Brands

Pattern Group Inc. (Nasdaq: PTRN) has launched two new AI tools to help Australian brands boost and measure discovery across emerging platforms. The company’s LLM Access Audit and Generative Engine Optimisation (GEO) Scorecard form a comprehensive GEO framework for brands and retailers.

Austech Media
Last updated: March 18, 2026 11:43 am
Austech Media
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Pattern Group Inc. has launched two AI-driven tools to enhance brand discovery. Its proprietary Large Language Model (LLM) Access Audit and Generative Engine Optimisation (GEO) Scorecard form a comprehensive GEO framework.

With shoppers increasingly using chat platforms to find products, optimised AI content is becoming critical for visibility and growth.

A recent Capgemini survey shows 58% of consumers now use AI for product discovery and research—up from 25% in 2023—positioning AI optimisation as the next frontier in digital commerce.

“AI is fundamentally changing how consumers discover brands online,” said Merline McGregor, Managing Director at Pattern Australia.

“For the first time, brand visibility is being shaped by conversational engines rather than search algorithms. Our new GEO framework gives Australian retailers a way to understand, measure and optimise their presence in this new AI-driven landscape.” she said.

Pattern’s LLM Access Audit helps brands easily determine the discoverability of their products and content across leading AI platforms.

It evaluates whether AI bots can access and interpret a brand’s online footprint and identifies which engines are actively crawling their website for information used in conversational AI results.

The GEO Scorecard is a free tool that empowers brands to understand how conversational AI platforms like ChatGPT showcase their products. The tool delivers concrete recommendations to help brands outperform the competition. 

The GEO Scorecard leverages Pattern’s proprietary technology, AI and data, spanning over 46 trillion commerce data points, to provide brands with unprecedented visibility into how major large language models (LLMs) perceive, rank, and describe their businesses.

It gives brands a comprehensive score for their current presence in AI-driven commerce, a competitive analysis that benchmarks their position against key rivals, and a prioritised list of actionable recommendations to improve content, sentiment, and ranking on AI chat platforms.

“Many brands don’t yet realise how their content appears (or doesn’t appear) inside generative AI tools today,” said McGregor.

“Our new LLM Access Audit and GEO Scorecard tools make that critical information visible for the first time.

It gives marketers a clear roadmap to ensure their products are accurately represented and easily discoverable through AI-powered search.” she said.

ByAustech Media
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Austech Media Press Release - Disclaimer: This press release was submitted by an external organisation All data, statistics, and insights provided by the submitting party.
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Pattern Launches End-To-End Generative Engine Optimisation Framework for Australian Brands

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