27 August 2024

Free AI Tool: See What The Internet Really Says About Your Brand

2Frameworks

9Insights

Frameworks in this episode

Strategy5 steps

Admired-Brand Pillar Reverse Engineering

Turn admired brands' AI-visible strengths into priorities for your own brand

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Marketing6 steps

LLM Brand Visibility Scorecard

Measure how AI assistants perceive, mention, and differentiate your brand

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Hot Take· 2

Hot Take12:30

AI Could Commoditize Billion-Dollar Brand Studies

The hosts argue that AI can rapidly reproduce parts of traditional branded and unbranded awareness research. Free, templated tools may therefore replace many expensive studies, especially for companies that cannot justify enterprise research budgets.

Traditional brand-awareness research is a large industry
AI can synthesize internet-scale perception quickly
Templated tools can make analysis widely accessible
Large brands may still require rigorous conventional studies

“that industry is like a billion dollar industry right”
Kieran Flanagan · 13:00

“AI is so disruptive that in the future I suspect there's just going to be a free templatized tool”
Kieran Flanagan · 13:00

#market research#brand studies#ai disruption#automation

Hot Take16:30

Customer Service May Be the Strongest Brand Technique

The hosts argue that customer service is not merely an operational concern but a primary driver of brand positivity. They contend that AI makes high service coverage increasingly achievable, making persistent support failures harder for companies to justify.

Poor support creates durable negative brand perception
Customer service should be treated as a brand investment
AI can expand support coverage
Human service remains necessary for cases AI cannot handle

“customer service is not only a business imperative it's a brand imperative”
Kipp Bodnar · 16:30

“I think it is the number one brand technique”
Kieran Flanagan · 16:30

#customer service#brand strategy#ai support#customer success

Explainer· 2

Explainer02:00

Why AI Search Replaces Blue Links with Conversations

The hosts explain that users increasingly ask AI assistants for direct answers rather than selecting from Google's traditional links. This changes brand discovery from a fixed ranking contest into an iterative conversation in which brands must remain relevant as users refine their questions.

Traditional search emphasizes ranked links and keywords
AI assistants answer questions conversationally
Users refine requests through repeated interactions
Brands need enough category visibility to remain in the conversation

“traditionally we search on Google get the Blue Links”
Kieran Flanagan · 02:00

“more and more people will go to these llms these AI chat assistants to actually get some of that some of some of their questions…”
Kieran Flanagan · 02:30

#ai search#seo#llms#brand discovery

Explainer09:00

Co-Citation Is the New Signal of Category Awareness

The episode describes co-citation as the proximity between a brand and the product or category terms it wants to own. Frequent association across online content increases the likelihood that an AI assistant will mention the brand during relevant conversations.

Co-citation links brands with nearby category terms
Training-set presence influences AI visibility
Frequent category association strengthens brand awareness
Conversational searches can produce repeated mentions

“it's really co- citation which means like whenever the product is mentioned the brand is mentioned beside it or within it near those words”
Kieran Flanagan · 09:00

“the more share of voice you have in your cat category the more likely you're going to get that continual me mention”
Kipp Bodnar · 10:00

#co-citation#brand awareness#llms#ai visibility

Story· 3

Story06:00

Coinbase's AI Reputation Exposes Its Support and Fee Problems

The Coinbase demonstration produces a weak brand score and mostly negative sentiment despite recognition for usability, security, and regulatory compliance. The hosts find the criticism credible because it aligns with their own experiences of high fees and difficult customer support.

Coinbase receives a 26 out of 100 score
Usability and security appear as strengths
Fees, support, and account restrictions appear as weaknesses
The hosts regard the findings as surprisingly accurate

“they love that it's userfriendly they love that it has high security standards and Regulatory Compliance”
Kipp Bodnar · 07:00

“they hate High fees customer support issues and account restrictions”
Kipp Bodnar · 07:00

#coinbase#crypto#brand sentiment#customer support

Story13:30

AI Distinguishes Kraken's Reputation from Coinbase's

Although Kraken and Coinbase occupy the same controversial category, the tool identifies distinct strengths and weaknesses for each. Kraken is associated with cryptocurrency variety, security, and advanced trading, while its interface and verification process receive more criticism.

Kraken's findings differ from Coinbase's
Advanced trading and cryptocurrency variety are strengths
Interface and verification friction appear as weaknesses
Crypto-platform sentiment remains largely functional and neutral

“wide range of uh cryptocurrencies secuity is mentioned Advanced trading features mentioned”
Kieran Flanagan · 14:00

“what people care about is just a lot of functionality right”
Kieran Flanagan · 14:30

#kraken#coinbase#crypto exchanges#brand differentiation

Story15:00

How Muddy Bites Turns Nostalgia into Positive Sentiment

Muddy Bites earns one of the strongest scores shown in the episode, with no negative sentiment in the displayed result. Its nostalgic connection to chocolate-filled ice-cream-cone tips, ingredient quality, and customer service create a much warmer response than the functional crypto brands.

Muddy Bites scores 69 with mostly positive sentiment
Nostalgia is a central brand strength
Quality ingredients and service reinforce perception
Scarcity complaints can indicate strong demand rather than dislike

“muddy bites is literally just the tip of the ice cream comb full of chocolate and just a whole bag of those”
Kipp Bodnar · 16:00

“Nostalgia it gets Nostalgia really well”
Kieran Flanagan · 16:00

#muddy bites#nostalgia#consumer brands#brand sentiment

Takeaway· 2

Takeaway11:30

Your Brand May Look Different in Every Language Model

The initial tool uses OpenAI exclusively, but the hosts stress that marketers will need to inspect results across Claude, Gemini, Perplexity, and other assistants. Each platform can represent the same brand differently, making multi-model visibility an important future requirement.

The demonstrated version uses OpenAI only
Different customers use different AI assistants
Brand scores and descriptions may vary by model
Future tooling should support model selection

“you kind of have to see how you score across the uh the different llms”
Kieran Flanagan · 12:00

#openai#claude#gemini#perplexity#brand monitoring

Takeaway21:30

SEO Optimizes Keywords; LLM Search Optimizes Mentions

The closing takeaway draws a clear boundary between traditional and AI-assisted search. Conventional search remains focused on keywords and conversion, while LLM discovery centers on whether brands receive relevant mentions and impressions inside generated answers.

Traditional search will remain relevant
Conventional SEO focuses on keywords and conversion
LLM search focuses on mentions and impressions
Marketing measurement must accommodate both systems

“traditional search will still be very much focused on keywords and conversion llm search will be much F more focused on mentions and impressions”
Kieran Flanagan · 21:30

#seo#llm search#mentions#impressions