6 AEO myths you can ignore for your brand
Date: November 5th, 2026
Summary: Kevin King explains how Amazon's own Key Success Attributes tell you which listing image should be your number two, with Anthony Cofrancesco's three-step method for reordering your images, breaking up the busiest graphic and adding the image types you're missing. He then walks through Google's official guide to AI Overviews and AI Mode, the six AEO myths Google says you can ignore, the red flags when buying AEO services and what actually moves the needle. He also looks at Titan AI, DataDoe's check on which Black Friday deals make money, a Marketing Misfits episode on why emails land in junk, and how to make your ASIN answerable to AI shopping agents.
Key Points Discussed:
The average Prime shopper converts about 74% of the time; whose listing gets the sale depends on whether your images answer their priorities in the order they care about
Anthony Cofrancesco (eight years selling on Amazon, formerly at PickFu and Data Dive) on fixing listing images through pattern recognition, with no camera and no Photoshop
Step one: find the Key Success Attributes in Product Opportunity Explorer and reorder your images to match, then watch unit session percentage for 14 days against your prior 30-day average
Step two: break up the kitchen sink graphic so each image makes one point, using Anthony's ChatGPT or Gemini prompt
Step three: add the image types you're missing; there are 18 kinds, and any type in 40% or more of your niche that you lack is a hole, most often anatomy, sizing or testimonial graphics
The rules that keep testing safe: change one thing, check every two or three days, revert if conversion drops more than 10% for a week, keep anything that improves even 2%, and run one test a month
Titan AI, an AI agent for 7 and 8 figure Amazon sellers that drafts a plan from a one-sentence goal and runs routine PPC work such as a weekly search term review, with a 14-day Titan Guest Pass
Google's official guide to AI Overviews and AI Mode (last updated July 2026): optimizing for AI search is still SEO, built on the normal index, core ranking and query fan-out
The six myths Google says you can ignore: llms.txt and special AI files, chunking content, rewriting content just for AI, chasing inauthentic mentions, obsessing over structured data, and writing a page for every fan-out query
Red flags when buying AEO services, and the one question to ask: what are you doing that isn't just normal SEO?
What moves the needle: non-commodity content, clean technical basics, good images and video, Merchant Center feeds and Google Business Profile, Search Console's Generative AI performance report, and agent readiness
DataDoe, which connects Seller Central and Amazon Ads to Claude or the AI you already use to show which Black Friday deals make money SKU by SKU after COGS, fees and ads; 14-day free trial, then $97 a month, with code KEVINKING50 for 50% off the first month
Kevin and Norm Farrar on Marketing Misfits: why open rates mislead, why pretty HTML emails and link shorteners like Bitly hurt deliverability, and the 16 specialized AI brains their agency DragonFish uses
Making your ASIN answerable for Amazon ACO (Agentic Commerce Optimization): keep your A9 basics, fill every applicable attribute with verified values and units, and connect problem to feature to outcome to proof
Links Mentioned:
Billion Dollar Sellers Club replay library (try it for $9)
AI Agent for Amazon Sellers That Works Toward Your Plan | Titan AI (YouTube)
Try Titan AI with a 14-day Titan Guest Pass
Optimizing your website for generative AI features on Google Search (Google's guide)
DataDoe (14-day free trial; code KEVINKING50 takes 50% off the first month)
The REAL Reason Your Emails Go To Junk (Marketing Misfits, YouTube)
DragonFish
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Parting Shot: "You don't learn to walk by following the rules. You learn by doing, and by falling over." (Richard Branson)
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