Insights
Guides and comparisons on applied AI — for Amazon sellers and creative teams.
For Amazon sellers
How to create Amazon A+ Content (2026): modules, image sizes, Premium A+ and approval
Who can use A+ Content, what Premium A+ adds, which image sizes each module needs and why Amazon rejects drafts. Plus an example for every module and a checklist, current as of October 2026.
For Amazon sellers
Amazon flat file guide (2026): templates, upload and processing report errors
Where to download the template, which columns are required, how variations and the listing action work, what has changed and how to read the processing report. With the most common errors and a checklist, current as of October 2026.
For Amazon sellers
Agentic commerce for sellers: what it means, the protocols, and what Amazon sellers should do now (2026)
What agentic commerce means for sellers: protocols from OpenAI, Google, Visa and Mastercard, agentic back-office workflows and a checklist for Amazon brands.
For Amazon sellers
Amazon virtual bundles (2026): requirements, setup and common mistakes
Amazon virtual bundles explained: eligibility, rules, setup in Seller Central, how they differ from physical and Shopify bundles, and common mistakes.
For Amazon sellers
The best AI tools for Amazon sellers in 2026: 10 tools, compared fairly
The best AI tools for Amazon sellers in 2026 compared: Helium 10, Jungle Scout, Data Dive, ChatGPT, Claude, image tools and Torch Listings, with prices.
For Amazon sellers
Amazon listing optimization (2026): the complete guide, with real numbers
Titles capped at 75 characters, a new Item Highlights field, Rufus replaced by Alexa for Shopping: what changed in 2026 — and how to optimize title, bullets, images, A+ content and backend keywords in the right order. With numbers from a real split test.
For Amazon sellers
Case study: Amazon conversion rate from 2.1% to 4.2% — what a split test actually proves
One customer ran a split test on Amazon: same product, same ASIN, two listing variants. Conversion rate 2.1% → 4.2%, click-through +38% between variants, returns −27%. How the test works, what changed in the winning variant, what the numbers mean economically — and where their evidence ends.
For Amazon sellers
The Amazon 75 character title limit: rules, dates and the new Item Highlights field
Since 27 July 2026 Amazon product titles in all non-media categories are capped at 75 characters including spaces. What the rule says, why non-compliant titles get rewritten by Amazon's own AI — and how to cut a 200-character title down without losing the click.
For Amazon sellers
Amazon product image requirements (2026): the rules, the specs, and AI-generated images
Pure white main image, 85 percent frame fill, at least 1,000 pixels for zoom: the full set of Amazon product image requirements — plus the part most guides skip, which is what applies when the images are AI-generated.
For Amazon sellers
Amazon backend keywords: the 500-byte rule (2026)
The Generic Keywords field holds 500 bytes, not 500 characters — an umlaut or an accent costs two, and one byte too many can drop the whole field out of indexing. What belongs in it, what does not, and where the terms come from.
For Amazon sellers
How to optimize an Amazon listing for Alexa for Shopping (2026)
Amazon retired Rufus on 13 May 2026 and folded it into Alexa for Shopping — an agentic assistant in the main search bar. What the Rufus replacement and COSMO mean for your title, bullets, backend keywords and structured attributes: five changes that hold up, and two to avoid.
For Amazon sellers
Torch Listings vs Helium 10 (2026): research toolkit vs AI listing production
Helium 10 and Torch Listings solve different jobs. One is a broad self-serve analytics toolkit, the other produces the finished listing from real data. Here is how to choose — and when to use both.
For Amazon sellers
Can you write Amazon listings with ChatGPT? Where generic AI hits its limits (2026)
ChatGPT drafts decent listing copy from a prompt — but a listing that ranks and converts needs live market data, verifiable claims, keywords with real demand and images. Here is where generic AI stops and purpose-built tooling starts.
For Amazon sellers
How to spot Amazon product trends before your competitors
The signals that reveal a rising Amazon product early, why keyword tools alone miss them, and how to find demand where no strong brand owns the top spots.
For creative teams
GPT vs Claude vs Gemini for image generation (2026)
A practical comparison of the leading AI model families for image generation — how they differ, when to use each, and why running them from one interface beats juggling subscriptions.