your brand

your brand

about

about

 
talks
 
 
talks
 

how AI

how AI

Change

Change

“Unusual is not an AEO/GEO tool. It’s like teaching ChatGPT how to sell your product for you.”

Stephen Walter

Founder & CEO

Unusual helps brands discover and change how AI models talk about them

Unusual helps brands discover and change how AI models talk about them

Unusual drives more leads from AI models like ChatGPT by surveying how AI models think and talk about your brand and then creating content that shapes the narrative.

On average, Unusual customers are seeing their inbound sales from AI models increase 40% per month.

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A new kind of marketing

A new kind of marketing

A new kind of marketing

AI models are the influencers of the future; they are a new audience to understand and leverage.

AI models are the influencers of the future; they are a new audience to understand and leverage.

AI models are the influencers of the future; they are a new audience to understand and leverage.

AI models behave more like humans – with their own opinions and personalities — than search engines,

AI models behave more like humans – with their own opinions and personalities — than search engines,

AI models behave more like humans – with their own opinions and personalities — than search engines,

Shaping how AI talks about your brand is just as important as getting mentioned.

Shaping how AI talks about your brand is just as important as getting mentioned.

Shaping how AI talks about your brand is just as important as getting mentioned.

The science of changing AI’s mind

The science of changing AI’s mind

The science of changing AI’s mind

Survey AI models

Survey AI models

Build a battery of “brain probe” prompts specific to your business, market, and competitors in order to reveal AI’s thought patterns, sources, biases, etc.

Build a battery of “brain probe” prompts specific to your business, market, and competitors in order to reveal AI’s thought patterns, sources, biases, etc.

Survey AI models

Build a battery of “brain probe” prompts specific to your business, market, and competitors in order to reveal AI’s thought patterns, sources, biases, etc.

Discover AI's opinions

Discover AI's opinions

Analyze survey results to discover each model's opinions about your brand and what is driving those opinions.

Analyze survey results to discover each model's opinions about your brand and what is driving those opinions.

Discover AI's opinions

Analyze survey results to discover each model's opinions about your brand and what is driving those opinions.

Create targeted content

Create targeted content

Reverse engineer new content, sources, and data needed to change Al's perceptions about your brand and drive qualified leads.

Reverse engineer new content, sources, and data needed to change Al's perceptions about your brand and drive qualified leads.

Create targeted content

Reverse engineer new content, sources, and data needed to change Al's perceptions about your brand and drive qualified leads.

When

the usual doesn’t cut it

When

the usual doesn’t cut it

Other solutions approach AI optimization like SEO. They take abstractions like "ranking on a keyword," and compare it to "getting mentioned on a prompt"

We tried approaching AI optimization with the same abstractions as SEO, but we quickly ran into the limitations of this approach.

AI models personalize their responses for each user – if 100 different people ask ChatGPT the same question, they will get 100 different answers. This is a far cry from search engines, which returned the same ordered list regardless of the searcher.

AI models often make factual errors when talking about a brand, or position them incorrectly. This is not something search engines do and not something “ranking” metrics capture.

AI models show you why they do or don’t mention you. This is one of the richest sources of information you can leverage. What would SEO look like if Google exposed the algorithm behind each search?

Building on our background in AI interpretability research, we decided to approach the problem in a different way. Our goal is to understand how LLMs form opinions and ideas, and how you can shape them to benefit your brand.

This approach looks like "marketing to AI models," and it is the most effective method we have discovered for driving more referrals from LLMs.

— Co-founders @ Unusual,

Will Jack

Keller Maloney

We tried approaching AI optimization with the same abstractions as SEO, but we quickly ran into the limitations of this approach.

AI models personalize their responses for each user – if 100 different people ask ChatGPT the same question, they will get 100 different answers. This is a far cry from search engines, which returned the same ordered list regardless of the searcher.

AI models often make factual errors when talking about a brand, or position them incorrectly. This is not something search engines do and not something “ranking” metrics capture.

AI models show you why they do or don’t mention you. This is one of the richest sources of information you can leverage. What would SEO look like if Google exposed the algorithm behind each search?

Building on our background in AI interpretability research, we decided to approach the problem in a different way. Our goal is to understand how LLMs form opinions and ideas, and how you can shape them to benefit your brand.

This approach looks like "marketing to AI models," and it is the most effective method we have discovered for driving more referrals from LLMs.

— Co-founders @ Unusual,

Will Jack

Keller Maloney

Unusual Ideas

Unusual Ideas

Unusual Ideas

INSIGHTS

AI Models Are Becoming Influencers

Last year, over 700 million conversations happened across AI chatbots about purchasing products. Those weren't searches—they were consultations. Something fundamental is shifting in how people make buying decisions, and it looks a lot less like googling and a lot more like asking a trusted friend for advice.

INSIGHTS

AI Models Are Becoming Influencers

Last year, over 700 million conversations happened across AI chatbots about purchasing products. Those weren't searches—they were consultations. Something fundamental is shifting in how people make buying decisions, and it looks a lot less like googling and a lot more like asking a trusted friend for advice.

INSIGHTS

The End of Second Place: Why ChatGPT Recommendations Are Winner-Take-All

The shift from Google Search to ChatGPT as a personal, buying assistant means a shift from a ranked list of results to a single recommendation. For brands, this means that there is no "second place" when it comes to getting recommended by ChatGPT. Brands need to ensure that AI agents can find the specific information that they need to make a recommendation.

INSIGHTS

The End of Second Place: Why ChatGPT Recommendations Are Winner-Take-All

The shift from Google Search to ChatGPT as a personal, buying assistant means a shift from a ranked list of results to a single recommendation. For brands, this means that there is no "second place" when it comes to getting recommended by ChatGPT. Brands need to ensure that AI agents can find the specific information that they need to make a recommendation.

INSIGHTS

The Web Is for Machines Now

The web is quickly becoming infrastructure for bots and AI agents to interact with the world (gather information, take actions like purchases). At the same time, human attention is in the middle of the greatest migration since its first migration online. We can assume that these trends are going to continue.

INSIGHTS

The Web Is for Machines Now

The web is quickly becoming infrastructure for bots and AI agents to interact with the world (gather information, take actions like purchases). At the same time, human attention is in the middle of the greatest migration since its first migration online. We can assume that these trends are going to continue.