Firstly, I apologise to everyone who was waiting on the drop last Saturday. There were some personal things I had to attend to which had taken all of my attention. But finally, we are making progress! Today I'm dropping a ton of brand new skills that you can run to audit how your brand is perceived by LLMs. There are a couple of different ways you may be perceived: - You don't show up at all (visibility issue) - You show up, but information is hard to find (visibility issue) - You show up, but it's the wrong information (content issue) - You show up, but you're competing against other similar businesses (content issue) - ⭐ You show up, but only if LLMs do a web search (generally good - more so AEO) - ⭐ You show up WITHOUT LLMs using web search (you've reached GEO nirvana, well done) GEO is when LLMs have information about your brand on the knowledge layer. They don't need to scrape the web to know about your brand, or what you do, and provide the correct information. AEO is when LLMs can scrape information on the web, and provide you with an answer. Or another way of thinking about this is that you want your content to be cited/mentioned when providing an answer. The Brand Audit is designed to shed light on where you are at (out of the above perceptions). Whether they know about your brand on the GEO level, or the AEO level. Or do you even show up for your brand at all? That's why, you need to do an audit to see where you're at right now. --- The skills are free to download and use right now. You can run them on your own business or a client. They cover AI visibility, buyer objections, content gaps and schema, with reports and developer handovers you can review. Here's what's in the pack: - 📃 Brand 360: Tests whether AI engines know, find, cite and recommend your brand. Includes a researched report and brand claims for you to check. - 🤖 AI Info Page: Creates a sourced brand fact sheet, HTML, schema and developer handover. You approve the facts before publishing. - 🤝 Dealbreaker Detector: Finds buyer objections, missing proof and unanswered questions. Includes prioritised fixes and an FAQ draft. - 🪭 Query Fan Out: Predicts related buyer queries and maps content coverage, gaps and overlap. Check the priorities in live AI search before editing. - 👥 LLM Share Buttons: Creates branded article buttons that open AI assistants with a summary prompt. Includes the implementation brief, code and demo. - 🕸️ Schema Scraper: Saves your existing JSON-LD as a baseline and flags missing or broken markup. - 🕸️ Schema Optimisation: Produces a Word brief with 3–5 priority schema recommendations, CMS templates and worked examples.