In this redux episode, we revisit our original 5 Bad Habits episode from March 2023—a time when ChatGPT had just been launched and digital marketing was forever changed. Since then, SEO has transformed with the rise of AI-driven search and generative engines and their effect on how people find and engage with content online.

In this episode, we cover topics like...

• Why resisting change is the biggest marketing mistake you could possibly make.
• How embracing AI-inclusive SEO practices like GEO/LLMO can future-proof your marketing.
• The importance of having a strong relationship with your data — tracking the right metrics, consolidating sources, and making data accessible using AI analytics.
• Why overlooking your marketing strategy, especially one aligned with customer intent and competitor insights, can cost you dearly.
• The risks of inconsistent branding and messaging that confuse your customers and weaken your professional image.
• How giving AI full control of your content without human oversight can harm your brand’s credibility and SEO performance.

As a little bonus, we also discuss why blocking LLMs from scraping your site is a counterproductive move, given the evolving AI landscape and the visibility it can bring.

Happy listening, marketing geeks! Here’s to mastering 2025 and beyond.

Support your fellow marketing geeks! Follow us on Twitter, Facebook, and Instagram @GeekyTechGeeks for all things SEO/GEO, and advertising related—and while you're at it, why not subscribe, like, and follow us on Apple Podcasts, Spotify, Stitcher, or wherever you listen to your favourite shows.

Have any questions you want answered on the show? Email us at team@geekytech.co.uk.

Thanks for listening 🤓

In this episode, we dive deep into the most popular Large Language Models (LLMs) available for marketers. With AI tools becoming ubiquitous across every industry, this episode breaks down which LLMs are best suited for specific marketing needs.

Which LLMs you might ask?

1. ChatGPT 5

Best For:

• Brainstorming ideas
• Creating social media posts
• Generating structured data and schema markup
• Meta tag creation
• Email drafting
• Long-form content (with human editing)
• Image and code generation

Limitations:

• Can hallucinate (make up information)
• Struggles with basic math and accurate formulas
• Tends to repeat points in long-form content
• May use training data instead of web search for recent topics
• Quality depends heavily on prompt specificity

2. Gemini (Google)

Best For:

• Users embedded in Google Workspace ecosystem
• Image processing
• Real-time research and fact-checking
• PDF analysis
• Academic research

Considerations:

• Less creative than ChatGPT
• Always-present assistant feature
• Better for research, not ideal for creative content

3. DeepSeek

Best For:

• Developers and coders
• Mathematical accuracy
• Building spreadsheets and tables
• High-logic tasks
• Structured output

Limitations:

• Text-only (no images, audio, or video)
• Lacks artistic flair
• Not ideal for creative marketing content
• Better suited for technical users

4. Perplexity

Best For:

• In-depth research
• Fact-checking recent events
• Academic and professional research
• Getting cited, authoritative sources

Standout Features:

• Shows when sources were last updated
• Step-by-step breakdown of reasoning
• Allows you to choose search sources
• Suggests follow-up searches
• Less "sycophantic" than ChatGPT

5. Claude

Best For:

• Long-form content (whitepapers, research papers, e-books)
• Creative and expressive writing
• Tone and style switching
• Processing large amounts of text (high token capacity)

Limitations:

• Struggles with complex reasoning and layered topics
• Output can be generic without detailed prompts
• May filter contextually appropriate information if deemed potentially harmful
• Requires skilled prompting for best results

Support your fellow marketing geeks! Follow us on Twitter, Facebook, and Instagram @GeekyTechGeeks for all things SEO/GEO, and advertising related—and while you're at it, why not subscribe, like, and follow us on Apple Podcasts, Spotify, Stitcher, or wherever you listen to your favourite shows.

Have any questions you want answered on the show? Email us at team@geekytech.co.uk.

Thanks for listening 🤓

We remember back in the day when SEO and PPC were just about the only abbreviations we had to worry about, but then came along AI, and boy oh boy, have things gotten just a little bit more alphabetty.

In this episode, Genny’s going to run through the list of the most common AI-related terms that marketers most likely encounter on their mission to maximise their visibility on AI-powered search.

In case you want spoilers, here’s the list:

AI (Artificial Intelligence)

• Any technology that simulates human intelligence in machines that allows them to perform tasks like recognise patterns, make predictions, and understand language.

GenAI (Generative AI)

• A type of AI that can generate new content, (i.e., text, images, music, or videos) based on its training data. Examples include ChatGPT, MidJourney, and Deepfakes.

GEO (Generative Engine Optimization)

• This is the process of optimising web content to maximise your brand visibility in generative AI systems (like ChatGPT) by ensuring your content gets selected as answers in AI-generated responses.

AEO (Answer Engine Optimization)

• Synonymous with GEO, AEO focuses on optimizing content so that it appears in AI-generated answers, particularly for Answer Engines.

AIO (AI Overviews)

• AIO refers to AI Overviews, those helpful content summaries at the top of Google’s search results, which include a short overview with relevant links.

LLM (Large Language Model)

• A type of AI that’s trained on vast amounts of text data that can process and generate human-like language. LLMs like GPT-3 can answer questions, generate text, and more, but they are based on fixed training data (they don’t learn in real time).

NLP (Natural Language Processing)

• This is a subset of AI that’s focused on helping machines understand, interpret, and generate human language, e.g., speech recognition, text analysis, and machine translation.

ML (Machine Learning)

• Another subset of AI where machines learn from data to recognize patterns and make predictions.

DL (Deep Learning)

• A part of machine learning that uses neural networks with multiple layers (hence the term "deep") to process and understand complex data.

AGI (Artificial General Intelligence)

• A type of AI that can learn and apply knowledge across various domains, just like humans. Unlike narrow AI, which excels at specific tasks (e.g., chatbots), AGI can perform a wide variety of tasks with human-like reasoning.

Hallucinations (AI Hallucinations)

• In this context, hallucinations refer to instances where the model generates incorrect or totally made up information that appears convincing.

GPT (Generative Pre-trained Transformer)

• A type of LLM (like ChatGPT), that uses transformer architecture to generate human-like text based on large-scale pretraining. GPT can generate, summarise, or answer questions based on data it has been trained on.

Remember, we’re at the very start of our AI journey, so don't let information overwhelm get in the way of AI adoption!

Happy Listening 🎧

Support your fellow marketing geeks! Follow us on Twitter, Facebook, and Instagram @GeekyTechGeeks for all things SEO/GEO, and advertising related—and while you're at it, why not subscribe, like, and follow us on Apple Podcasts, Spotify, Stitcher, or wherever you listen to your favourite shows.

Have any questions you want answered on the show? Email us at team@geekytech.co.uk.

Thanks for listening 🤓