Obsessd - LLM Discoverability

The New Reality

The AI shelf is
already filling up.

AI-generated answers are the new search results. If your brand isn't mentioned, the sale goes to one that is. Every unanswered query is revenue that went somewhere else.

"What's the best specialty coffee in Australia?" - Your brand doesn't appear. A competitor does. The customer never knew you existed.

of consumers use AI assistants for product research

4 in 5

AI answers name only 2–3 brands per category

2005

Last time there was a first-mover opportunity this big - it was SEO

of mid-tail brands actively optimising for LLM visibility

Why You're Invisible

LLMs can't surface
what they can't parse.

Your brand is invisible by default - not by choice.

No Structured Data

Product pages lack schema.org markup and JSON-LD. LLM crawlers skip over unstructured content - meaning your products never enter the recommendation layer.

No Vector Embeddings

Your products aren't semantically indexed. When people ask AI for recommendations, you simply don't exist in the search space AI models query.

Unoptimised Content

Descriptions written for humans browsing a website - not for AI models parsing attributes, specs, certifications, and differentiators at scale.

Hallucinated Brand Info

LLMs may already be saying wrong things about you - incorrect pricing, ingredients, or availability. You don't know because you're not monitoring.

How It Works

Four steps from
invisible to indispensable.

A proven system for building and maintaining your AI presence across every major platform.

LLM Brand Audit

Query Claude, ChatGPT, Gemini & Perplexity with 50–100 real category prompts. Score your AI share of voice and identify every gap.

Content Restructuring

Rewrite product descriptions and FAQs with schema.org markup and JSON-LD so LLMs can parse, retrieve, and recommend you accurately.

Vector Embeddings

Build and maintain your product catalogue in vector databases, semantically aligned to the real queries your customers ask AI.

Ongoing Monitoring

Continuous tracking of how LLMs represent your brand. Alerts on drops, competitor gains, or inaccuracies after every model update.

Learn More About Our Methodology →

Proprietary Intelligence

The Obsessd
Visibility Index™

The Obsessd Visibility Index™ is our proprietary AI discoverability methodology - designed to measure how brands surface, compete, and convert within AI-generated environments. Using structured prompt testing, multi-LLM analysis, and our own scoring architecture, OVI evaluates three core dimensions of brand performance across every major AI platform.

Dimension 01

Visibility

How prominently your brand surfaces across AI-generated responses - from top recommendation to completely absent.

Dimension 02

Accuracy

Whether the information AI platforms present about your brand is correct, current, and free of hallucinations.

Dimension 03

Competitive Position

Where you sit relative to competitors - which brands are taking your recommendation slot and how prominently.

OVI transforms fragmented AI outputs into a unified intelligence signal - giving brands a defensible benchmark for performance in the age of agentic discovery.

The Team

Expertise at the Intersection
of AI and Commerce

Obsessd is an Australian-founded AI discoverability consultancy built for brands that want to lead, not follow. Our locally based team brings 50+ years of combined experience across retail, commerce, media, technology, and AI systems - helping businesses position themselves for the next era of search, recommendation, and agentic commerce.

Bec Penn

Co-founder & Chief Product Officer

Bec is a retail media and ad-tech leader with 15+ years of experience across some of Australia's most significant media and commerce ecosystems. Having led enterprise product strategy at Coles 360 and built Cartology's off-network programmatic ecosystem from the ground up, she brings a rare combination of deep product expertise, commercial instinct, and hands-on AI fluency. She turns complex technology mandates into measurable business outcomes - and built Obsessd to do exactly that for the next era of retail.

Dan Richardson

Co-founder and Director

Dan is a data and technology commercial leader with 15+ years building APAC-first identity, insights and measurement solutions for the world's leading brands, agencies and platforms. A former Director of Data & Insights at Yahoo DSP APAC, he launched Mastercard Ad Insights and led the data go-to-market for Australia's first financial commerce media network, powered by Afterpay & Block Inc. Prior to that he played a foundational role in launching Omnicom Group and WPP's programmatic media buying platforms in Australia. Now focused on helping brands grow in the age of LLM-powered discovery, Dan brings deep expertise in first-party data strategy, agentic commerce journeys and privacy-led measurement to make brands findable, trustworthy and conversion-ready in the new AI era.

Why Obsessd

We built this
from the ground up.

Nobody owns this layer yet. We intend to.

Nobody Owns This Layer Yet

LLM discoverability is a greenfield category. The brands and agencies that build expertise now will define the space - just like early SEO agencies defined search.

We Live at the AI-Commerce Intersection

Deep expertise across retail media, LLMs, MCP protocol, and commerce infrastructure. This isn't a pivot for us - it's our foundation.

Built on Real Protocol

Our platform uses Model Context Protocol (MCP) - the emerging standard for AI-agent communication. Not custom integrations that break when models update.

We've Seen This Movie Before

The same compounding dynamics that built SEO empires in 2005–2010 are playing out right now in AI. Same playbook, new channel. First-movers win.

Your brand is
invisible to AI.
We fix that.

The AI shelf is
already filling up.