SEO Unfiltered

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Jul 2026

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About the show

Dive into the world of search engine optimisation, PPC, and digital marketing. Join content creator and all-around neat gal Genny as she interviews industry experts and fellow Geeky Tech colleagues and tries her best to understand what the big deal is with SEO. If you're new to digital marketing and you've already sniffed out all the fluffy BS that agencies love to promise but fail to deliver, take a listen. You just might learn a (real) thing or two about what makes your website outrank your competitors. Visit geekytech.co.uk/seo-unfiltered-podcast

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28 recent

July 21, 2026Episode 412 min

Ep 5.4: How to Show Your Boss Your GEO Strategy Is Working

GEO reporting is still evolving, but that doesn’t mean marketers can’t build a credible story around performance. In this episode of SEO Unfiltered, we explore how to benchmark AI visibility, track the right metrics, and pair emerging GEO signals with more concrete evidence from search and referral data. In This Episode, We Look At: How to benchmark AI visibility using branded and unbranded prompts. Which GEO metrics are useful, and which ones need to be treated with caution? Why AI visibility should be paired with supporting evidence from GA4 and GSC. How to improve brand visibility across LLMs through content quality, brand consistency, and off-page authority. How to present concrete GEO progress. Resources Mentioned Episode 5.3: AI Visibility Metrics: Are They All Bullshit? Ep 5.2: What Happens to Keyword Research in the Wake of GEO? GeekyIQ Example Prompt for AI Help me create a benchmark set of 30 AI visibility prompts for [brand name] in [industry]. I want the set to include branded, competitor-branded, and non-branded prompts so I can compare how often our brand appears in AI responses versus its competitors. Please group the prompts by intent, such as discovery, comparison, evaluation, sentiment, and problem-solving. Make the prompts realistic, varied, and reusable over time so they can be tracked consistently across AI tools. Also explain briefly why each prompt matters and how it helps measure visibility. Episode Takeaway The goal of GEO reporting is not to prove that one AI mention caused one click. The goal is to show leadership a broader pattern: AI visibility is improving, search demand is moving, and your overall marketing strategy is building traction in the right places. Want to Keep Listening? If you found this episode useful, go back to the previous episode on AI visibility metrics for a deeper look at the measurement side of GEO. Then use this episode as the practical follow-up for turning those metrics into a reporting story your boss can actually understand. See you in September! Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

May 21, 2026Episode 313 min

Ep. 5.3: AI Visibility Metrics: Are They All Bull&*$t?

AI visibility tools are everywhere and they’re making big promises. But how much of what they’re selling is actually useful, and how much is just dressed-up guesswork? And is guesswork always bad? In this episode, we break down the most common AI visibility metrics, what they really measure, and how marketers should (and shouldn’t) use them. 🎯 What You’ll Learn Why AI visibility scores are not based on first-party model data The difference between proxy metrics vs. real business outcomes How to interpret AI Share of Voice without turning it into a vanity metric Why citation count alone can be misleading The reality of AI brand sentiment (and why it’s often overhyped) How to actually use AI visibility data to inform strategy and content decisions 🔍 Key Topics Covered AI Visibility Score: Insight or Illusion? AI visibility scores are built on prompt testing, not actual model data. That makes them directional—not definitive. Useful for trends, risky as a KPI. AI Share of Voice (SoV) A helpful comparative metric, but still based on sampled prompts. Without context (like accuracy or sentiment), the number alone doesn’t tell the full story. Citation Count vs. Citation Rate Being mentioned isn’t the same as being cited. If AI isn’t linking to you, it may not see your content as a trusted source. Brand Sentiment in AI Most AI systems default to neutral or softened language, making sentiment less actionable than it sounds. ⚠️ The Big Takeaway AI visibility metrics aren’t useless, but watch out how they're being sold. They should guide your strategy, not dictate it. The real goal isn’t to “win” a visibility score. It’s to become a source AI systems consistently trust, cite, and recommend. 🧠 Practical Advice Focus on trends over snapshots Combine AI metrics with SEO data and real performance metrics Look beyond dashboards and prioritise actionable insights Don’t drop SEO fundamentals while chasing AI visibility 🛠️ And introducing..... GeekyIQ: Geeky Tech's new AI Brand Intelligence Platform Track visibility, uncover topic gaps, and get prioritized recommendations to improve your presence in AI-generated responses. Start your free trial: https://geekyiq.com 💬 Join the Conversation We’ve officially entered our video podcast era 👀 Do you prefer watching or listening? Let us know. Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

March 18, 2026Episode 211 min

Ep 5.2: What Happens to Keyword Research in the Wake of GEO?

In this episode of SEO Unfiltered , we revisit one of SEO’s most fundamental tasks—keyword research—and explore how it’s evolving under the rise of GEO. Host Genny cuts through the noise of “SEO is dead” hype to show how you can adapt traditional keyword strategies for AI-driven search engines like ChatGPT, Claude, and Gemini—without abandoning what already works. If you’ve been wondering how to align your SEO workflows with emerging AI-driven search behaviour, this one’s for you. Key Topics Covered What GEO (Generative Engine Optimisation) actually means and how it affects search visibility. Why keyword research isn’t dead—it’s just evolving. How users interact differently with generative tools vs. traditional search engines. The new mindset: focusing on search intent and problem-solving, not just exact-match phrases. A practical workflow for AI-inclusive keyword research using a real-world example. How to prioritise keywords and prompts based on value, opportunity, and visibility gaps. Building pillar and supporting pages that reinforce topical authority for both SEO and GEO. Why interlinking your clusters boosts crawlability, rankings, and AI citation potential. Resources Mentioned in This Episode: Episode 5.1: “ How to E-E-A-T Your Content for Better AI Visibility ” Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

January 21, 2026Episode 111 min

Ep 5.1: How to E-E-A-T Your Content for Better AI Visibility in 2026

Genny is back for season 5 with a solo rant/pep talk about E-E-A-T, AI, and why geologists everywhere probably want their acronym back. In this episode, we dust off Experience, Expertise, Authoritativeness, and Trustworthiness and give the whole framework a shiny new GEO/AI visibility twist. What this episode is about: How E-E-A-T translates into actual, real-world content instead of fluffy theory. Why authority still matters, but the way AI systems understand and score that authority is changing. How Retrieval-Augmented Generation (RAG) works in plain English, and what that 0.6 “confidence threshold” means for whether your content is visible in AI answers… or invisible. In 2026, E-E-A-T means... Experience: Content that proves you’ve actually done the thing—case studies, test results, lived stories—not just reworded someone else’s blog. Expertise: Credentials, track record, and depth of knowledge that show you’re the person people (and robots) should listen to, especially for YMYL topics. Authoritativeness: Other trustworthy people and brands cite you, link to you, and generally treat you like the grown-up in the room. Trustworthiness: All the “this site doesn’t feel shady” signals—technical, legal, reputational, and editorial—that give Google and AI the confidence to surface your content. One word that keeps coming up in this episode is schema Review, HowTo, Person, Organisation, and Review schema all help translate your credibility into machine-readable signals. If markup makes your eyes glaze over, we strongly suggest looping in your SEO team or developer and treating schema as non-negotiable infrastructure. Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

November 12, 2025Episode 413 min

Ep 4.4: REDUX: 5 Bad Habits That Are Killing Your Online Presence

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. Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

September 16, 2025Episode 312 min

Ep 4.3: Top 5 LLMs for Marketers

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 Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

July 16, 2025Episode 210 min

Ep 4.2: LLM, GEO, AEO—What Do All These AI Names Mean?

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 🎧 Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

January 30, 2025Episode 113 min

Ep 4.1.: How Generative Engine Optimisation Will Shape Digital Marketing

We’re back after a six-month hiatus! Life got busy, but we’re diving back into digital marketing with a fresh new season. Today’s episode is all about Generative Engine Optimisation (GEO) and how it’s set to transform online search and digital marketing strategies. What Is Generative Engine Optimisation (GEO)? GEO is a strategy designed to optimise content for AI-based search engines like Google’s AI Overview/Gemini, ChatGPT , Bing AI, Perplexity, and Claude. Unlike traditional search, which returns a list of links, GEO ensures that content appears in AI-generated summaries and direct answers. How Does GEO Differ from SEO? SEO focuses on ranking web pages on traditional search engine results pages (SERPs) using keywords, backlinks, and technical SEO. GEO optimises content for AI-driven searches by emphasising context, semantic relevance, and structured data. Both prioritise high-quality content, user satisfaction, and structured data, but GEO requires more conversational, intent-based optimisation. Why GEO Matters AI-driven search engines provide direct answers to complex or multi-faceted queries. Users interact with AI tools in natural language, expecting precise and comprehensive responses. GEO-optimised content ensures your site is referenced in AI-generated responses, increasing visibility and authority. How to Optimise for GEO Create High-Quality Content – Demonstrate expertise, experience, authority, and trustworthiness (E-E-A-T) . Use Long-Tail & Conversational Queries – Write in natural language and include FAQ sections. Optimise for Entities – Provide contextual clues through related words and topics. Leverage Structured Data – Use schema markup and clear formatting to make AI understanding easier. Improve Content Layout – Keep paragraphs short, use appropriate headers, and avoid excessive jargon. Increase Off-Page Presence – Build backlinks and ensure your content appears across platforms. Diversify Content Formats – Include videos, quizzes, and infographics with proper metadata. Stay Updated & Experiment – GEO is evolving, so keep up with trends and refine strategies based on results. Is SEO Dead? Absolutely not! SEO and GEO complement each other, and traditional search engines still dominate. However, adapting to GEO ensures that your brand remains visible in AI-driven search environments. What’s Next? We’ll be diving deeper into GEO in upcoming episodes. Stay tuned for more insights and strategies. Connect with Us For show notes and transcripts, visit us at Geeky Tech , and follow us on social media @geekytechgeeks for more updates. Thanks for listening, and welcome back to SEO Unfiltered! Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

May 21, 2024Episode 811 min

Ep 3.8: The First Half of E-E-A-T

In this May episode, Genny dives deep into the first two components of E-E-A-T: Experience and Expertise. Understanding these elements is crucial for creating high-quality content that Google values, especially for Your Money or Your Life (YMYL) sites. How do these aspects influence content quality and how can you demonstrate them in your content? Key Episode Takeaways Importance of E-E-A-T: Why Google focuses on these factors and their relevance to YMYL sites. Experience vs. Expertise: The similarities and differences between these two components. Demonstrating Experience: Tips on showcasing real-life, first-hand experience in your content, i.e. prove it! Creating Quality Content: The importance of creating original, helpful, and truthful content. Context Matters: How the relevance of experience and expertise varies depending on the topic. Building Trust: How links and mentions from trusted outside sources are crucial for building trust. Practical Tips Use the First Person: Share your personal experiences directly. Example: “Using Python for 365 days in a row has taught me this…” Provide Tangible Proof: Show evidence like photos, videos, and links to relevant publications or awards. Example: Upload a video of testing products or participating in relevant activities. Create High-Quality Content: Focus on writing informative, engaging, and well-researched articles. Example: Detailed comparisons, original research, and in-depth reviews. Collaborate with Industry Experts: Enhance your authority by associating with recognized figures in your field. Example: Guest posts, interviews, and participation in seminars or conferences. Stay tuned for the next episode in June, where we will cover the remaining components of E-E-A-T: Authoritativeness and Trustworthiness. Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓

April 23, 2024Episode 78 min

Ep 3.7: Core Web Vitals for Beginners

Today, Genny aims to help listeners wrap their heads around core web vitals , which are key metrics used by Google to assess user experience on websites. She breaks down the three core metrics: page speed (measured by Largest Contentful Paint or LCP), interactivity (measured by Interaction to Next Paint or INP), and visual stability (measured by Cumulative Layout Shift or CLS). Using layman's terms, Genny details what each metric measures and how it affects user experience and SEO rankings. She also offers a few insights on how to improve each metric, such as optimising images and videos, minimising redirects, and ensuring page responsiveness. The episode emphasises the importance of user experience in website design and SEO, highlighting that Google is increasingly prioritising user-centric metrics. Collaboration between marketers and web developers to optimise core web vitals is essential, and will ultimately enhance overall user experience. So, if you're a beginner to technical optimisation, have a listen to this brief episode! Check out our other episodes: https://www.geekytech.co.uk/seo-unfiltered-podcast/ Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @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. We are now on YouTube! https://www.youtube.com/@geekytechgeeks For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech Have any questions you want answered on the show? Email us at team@geekytech.co.uk . Thanks for listening 🤓