Found Perry secret agency plan - read it on the plane home from a podcast yesterday - sold my first $1000 AEO audit today!

Came across a helpful guide suggesting practical steps for entrepreneurs to increase their content's visibility with Large Language Models (LLMs) and AI search results. The source recommends running an "LLM visibility sprint" on existing, high-value pages rather than always starting from scratch. Here are a few interesting takeaways mentioned in the source for making your content AI-friendly: * Focus on Answers: Revamp your content by leading with a brief summary (TL;DR) and adding clear FAQs, comparisons, and tables. The key is to provide structured answers to potential questions. * Build Trust: Ensure your pages include "trust signals" like fresh dates, author bios, citations, and proof, as this helps LLMs (and users) determine credibility. * Use Structure: Organize content with clean headings, scannable lists, and schema markup (structured data) to make it easier for LLMs to understand and use. * Test as a Buyer: The source suggests testing your pages by asking questions directly in AI tools like ChatGPT or Claude. If your page doesn't appear in the answers, you should fix the content and re-test. Source: https://www.linkedin.com/posts/stephtrovato_heres-the-move-for-the-rest-of-the-year-activity-7374061552930537472-pNQp/

Anyone else using SEOPress on their wordpress site? Our team has leaned on this for schema, but I´m seeing some inconsistencies across the site, and not sure if it is human error or plugin issues. I´m not a developer, but sure do feel like I´m skirting the edge lately... ha ha. If not SEOPress? What other plugins are ya`ll finding most helpful for updating schema, server-facing, of course. :)

The Full question that @Heather Philipp asked was: ----------------------- @Julian Lopez I´ve been scanning the calls for mention of a good LLM citing reporting tool. SEMRush seems buggy and expensive. Any chance you guys could release an SOP of the process you highlighted in the AEO training of how you tracked AI chat mentions, etc. We really need an accurate reporting tool - and would be nice to not have to spend time recreating the wheel. :) @Sammar Wamiq ----------------------- My answer: @Heather Philipp Buggy & Expensive seems to be the standard for AI Visibility Tools! We haven't really picked one to recommend because there's just too many ways to address this, and since these tools are based on "guessed" queries that customers may ask and not really a reference of volume, we cannot trust them so much if they claim to have exact volumes or validated queries. What we can do is infer by selecting our business target keyword "Digital marketing agency" but adding the types of modifiers that should lead to your business specifically in natural language, i.e: "Digital Marketing Agency for multi-location hvac home services in Montana" That's what AI is allowing users to find and we should optimize for that type of long-tail solution aware queries We have outlined a Visibility Diagnostic Test (Baseline Setup Checklist) on our "Baseline Setup" call that you can follow to adress initial organic performance and build your ongoing tracking of queries: Part 3: The Visibility Diagnostic Test This section is the reference point to assess current impact and performance. All Optimization should start with this baseline. 1. Branded Search Visibility Baseline (Google) 🔍 - Action: Search for "Your Brand Name".

With all the talk about real-time AI engines favoring fresh content, I’m wondering how others schedule updates. Are you refreshing routinely, only when performance drops, or just when you have something new to add?