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Ranking In AI by Charles Floate is a recorded live training focused on getting brands and websites cited, recommended, and surfaced inside AI systems such as ChatGPT and other large language models, an emerging discipline often labeled GEO, AEO, AIO, and LLMO. Created by Charles Floate, a UK-based SEO entrepreneur known for “The God of SEO” blog and the operator of Charles Floate Training and the PressWhizz link marketplace, the session teaches the methods he used to build AI visibility from scratch, including mapping which sources AI models trust and engineering content to earn citations. The main transformation is moving from optimizing only for traditional Google rankings to deliberately influencing how AI answers reference your brand. The training is delivered as a single recorded webinar lesson running 4h 06m 29s, accompanied by a resources pack totaling 615.48 MB of material.
What Problems Does Ranking In AI Solve?
- “My traffic is dropping because people now ask AI instead of clicking through Google.” — The training is built around GEO, AEO, AIO, and LLMO, the practices for being surfaced inside AI answers rather than relying only on classic search clicks, with the full method walked through in the recorded webinar.
- “I have no idea how ChatGPT decides which brands and sources to recommend.” — A core part of the session covers mapping citation sources across AI models so you can see which publishers and pages each model tends to trust and cite.
- “I don’t know what to feed an AI model so it understands and repeats my brand correctly.” — The resources include a Brand Corpus PDF Pack, a structured set of brand documents intended to give the model consistent, accurate material to draw from.
- “My prompts are inconsistent and I can’t tell whether my AI-SEO work is moving the needle.” — The Prompt Alchemist 2.0 prompt set and the AI SEO Prompt Tracker spreadsheet are provided to standardize prompts and log what you are testing and observing.
- “I keep hearing AI-SEO buzzwords but have never seen the actual workflow demonstrated.” — The training is a single end-to-end recorded webinar with slides, so the approach is shown in one continuous walkthrough rather than scattered tips.
What You Will Learn in Ranking In AI
- What GEO, AEO, AIO, and LLMO mean in practice and how optimizing for AI answers differs from optimizing for traditional search results.
- How to map citation sources across AI models to understand which publishers and pages a model is likely to reference.
- How to assemble and use a brand corpus so AI systems have consistent material to pull from when describing your brand.
- How to use the Prompt Alchemist 2.0 prompt set to run more structured, repeatable AI-SEO prompts.
- How to track your AI-SEO experiments and results over time using the AI SEO Prompt Tracker spreadsheet.
- How the techniques covered in the session were applied to build AI visibility from a standing start, as presented through the webinar slides.
- How to think about earning citations and recommendations inside AI answers as an ongoing, testable process rather than a one-time setup.
Who Is Ranking In AI For?
The Worried Website Owner — You have ranked on Google for years, but you are watching more of your audience get answers directly from AI tools without ever visiting your site. You want to understand how to stay visible when the AI, not the search page, is doing the recommending, which is the central premise of this training.
The SEO Professional Adapting to AI — You already know traditional SEO, but clients are now asking whether their brand shows up in ChatGPT and similar tools, and you need a concrete framework rather than guesses. The citation-source mapping and prompt tooling in this session are aimed directly at that gap.
The Brand or Marketing Manager — You are responsible for how your company is represented online and you have noticed AI tools describing your brand inconsistently or incorrectly. The Brand Corpus PDF Pack and the brand-corpus approach are built to give AI systems cleaner material to reference.
The Agency Owner — You sell SEO and content services and need a defensible answer when clients ask about AI search visibility. The recorded webinar, slides, and resource pack give you a documented methodology and reusable templates to work from.
The Hands-On Experimenter — You like to test things yourself and want repeatable prompts and a way to track outcomes instead of ad-hoc tinkering. The Prompt Alchemist 2.0 set and the AI SEO Prompt Tracker are designed for exactly that kind of structured testing.
Complete Curriculum Breakdown
Ranking In AI Live Webinar
The core of the training is one recorded live webinar session covering AI search visibility across GEO, AEO, AIO, and LLMO, delivered together with the presentation slides and supporting transcripts.
- Full recorded AI SEO webinar session (video), running 4h 06m 29s
- Audio recording of the same session for listening on the go
- Webinar captions and transcript for following along in text
- AI SEO Webinar presentation slides
- Included resources: AI SEO Webinar slide deck (AI SEO Webinar – Final Touches), Brand Corpus PDF Pack, Prompt Alchemist 2.0 prompt set, and the AI SEO Prompt Tracker spreadsheet
What Makes This Course Different
- Focused on AI answers, not just Google rankings: The entire session is built around GEO, AEO, AIO, and LLMO, the practice of being cited and recommended inside AI systems rather than ranking only on a traditional search page.
- Built on source mapping, not guesswork: A central theme is mapping which sources AI models trust and cite, giving the work a concrete target instead of vague optimization advice.
- Comes with working tools, not just theory: The package ships with the Prompt Alchemist 2.0 prompt set, a Brand Corpus PDF Pack, and a prompt-tracking spreadsheet so the methods can be applied and measured.
- Taught by a practitioner: The material is presented by Charles Floate, an SEO operator who runs his own training brand and the PressWhizz marketplace, drawing on his own AI-visibility work.
About Charles Floate: Background and Credentials
Charles Floate is a UK-based SEO entrepreneur who became widely known through his “The God of SEO” blog and a series of public SEO case studies. He started in SEO as a young teenager around 2008 and has spent more than a decade running search campaigns for his own sites and for clients, and he now operates the Charles Floate Training brand.
Verified Credentials:
- Founder of “The God of SEO” blog: Built his early reputation through this blog and a series of public SEO case studies.
- Operator of multiple SEO ventures: Runs Charles Floate Training, the PressWhizz link marketplace, ParasiteSEO.com, and SEO.Careers.
- Conference speaker: Has spoken at more than 40 SEO and digital marketing conferences across multiple continents, including the Chiang Mai SEO Conference.
- Author: Wrote SEO books including Modern Keyword Research and Strategies & Stories From SEO Millionaires.
- Long track record in SEO: Has more than a decade of experience running SEO campaigns for his own websites and for clients.
Frequently Asked Questions About Ranking In AI
What is Ranking In AI about?
Ranking In AI is a recorded live training by Charles Floate about getting brands and websites cited and recommended inside AI systems such as ChatGPT and other large language models. It covers the emerging practices known as GEO, AEO, AIO, and LLMO, which focus on AI search visibility rather than only traditional Google rankings.
Who created Ranking In AI?
The training was created by Charles Floate, a UK-based SEO entrepreneur known for “The God of SEO” blog. He operates Charles Floate Training and the PressWhizz link marketplace, has spoken at more than 40 conferences, and has authored SEO books including Modern Keyword Research and Strategies & Stories From SEO Millionaires.
What is included in Ranking In AI?
The training includes the full recorded webinar session running 4h 06m 29s, an audio version, captions and transcripts, and the presentation slides. It also includes a resources pack with the Prompt Alchemist 2.0 prompt set, a Brand Corpus PDF Pack, and an AI SEO Prompt Tracker spreadsheet, totaling 615.48 MB of material.
Who is Ranking In AI best suited for?
It is aimed at website owners worried about losing traffic to AI tools, SEO professionals adapting their skills to AI search, brand and marketing managers concerned with how AI describes their company, agency owners who need an AI-visibility offering, and hands-on experimenters who want repeatable prompts and a way to track results.
What will I learn in Ranking In AI?
You learn what GEO, AEO, AIO, and LLMO mean in practice, how to map which sources AI models trust and cite, how to assemble and use a brand corpus, how to run more structured prompts with Prompt Alchemist 2.0, and how to track your AI-SEO experiments using the provided spreadsheet.
What format is Ranking In AI delivered in?
It is delivered as a single recorded live webinar lesson running 4h 06m 29s, supported by an audio recording, captions, transcripts, presentation slides, and downloadable resource files. The complete package totals 615.48 MB of material.
Do I need to be technical to follow Ranking In AI?
The training is presented as a webinar walkthrough with slides and supporting transcripts, and the resources are standard files such as prompt documents, a PDF pack, and a spreadsheet. A background in SEO or digital marketing will help you apply the concepts, but the format does not require coding to follow the session.
Is Ranking In AI about traditional Google SEO?
No. While it builds on SEO principles, the focus is specifically on AI search visibility, that is, being surfaced, cited, and recommended inside AI answers, rather than only ranking on a traditional Google search results page.
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