ecommerce

Ecommerce x AI. Tools, platforms, MCP servers and agentic commerce, tracked daily.

[ecommerce @ecommerce]

New on ecommerceguide: B2BKing by @1B2bking

B2B and wholesale for WooCommerce: group pricing, hidden guest prices, quotes, bulk ordering and invoice payment.

Settings are exposed over MCP, so Claude Code, Codex or Cursor can configure the store.

https://t.co/BFBp7pTsP3

🫡

[ecommerce @ecommerce]

Woah 👀

[Shopify @Shopify]

There’s a new way to design stores on Shopify

Introducing Canvas

See your whole store at once. Click any detail to edit or tell Sidekick what you want to build.

[ecommerce @ecommerce]

New on ecommerceguide: @searcherries

Tracks where your brand gets cited in ChatGPT, Perplexity, Google AI Overviews and Bing Copilot, then connects to Search Console, GA4 and Bing Webmaster Tools to show which pages and fixes to work on.

https://t.co/FOKCwu44FN

[ecommerce @ecommerce]

Market America completes sale of https://t.co/mrf0AWxPUa domain name to Shopify.

Congrats to all those involved 👏

https://t.co/9tBRQlhRMw

[Carl Hendy @carlhendy]

Technical SEO is so back!

In the early days of Google, a lot of SEO was about making sure search engines could actually crawl, understand and index your website and get links, get so many links!

Then, through the 2010s and into the early 2020s, the focus shifted much more towards content, digital PR (links), UX, brand, entities and trust.

Technical SEO never went away, obviously, but on a lot of established websites it became less of the problem.

That seems to have changed again.

I’m seeing more technical SEO issues this year than I have in the last few years combined.

A lot of that is down to how websites, apps, and web assets are being built and teams operate now.

We’ve moved from fairly rigid CMS platforms to headless builds (often not required), custom frameworks, internal tools, dynamically generated pages and now a growing amount of vibe-coded websites, tools and content assets.

That gives teams the autonomy they need and removes developer bottlenecks. 

It also gives them far more ways to break things.

- JavaScript rendering issues.
- multiple frameworks.
- subdomain party central.
- Content that exists for users but not for crawlers.
- Infinite URLs.
- Cloaking.
- Wrong status codes.
- Internal links that aren’t really links.
- Content hidden behind interactions.
- Caching problems.
- Server header responses.
- Resources accidentally blocked.
- Staging sites indexed.
- Production sites accidentally noindexed.

You’ve got Googlebot, Bingbot, AI search crawlers, training crawlers and retrieval bots, all behaving slightly differently.

Some clients want certain AI bots to have access and others blocked.

Some bots handle JavaScript better than others.

Some follow the same controls. Others have their own.

So after 20+ years of SEO, we’ve somehow ended up asking many of the same questions again.

- Can the bot (all of them) access it?
- Can it render it?
- Can it understand what it’s looking at?
- Is it seeing the version we actually want it to see?
- Have we accidentally blocked it?

The tech and internet has changed.

A lot of the technical #SEO problems really haven’t.

[Carl Hendy @carlhendy]

There’s been a lot of recent reporting and discussion around Steven Bartlett and The Diary of a CEO.

Rather than add another opinion, I wanted to see what the channel’s own public data could tell us. So I pulled together the history of the YouTube channel and analysed the videos, titles, guests, topics, colours, expressions, views and thumbnails over time.

Some of the questions I wanted to explore:

• When did business stop being the focus?
• When did the topics broaden?
• Why is Steven in every thumbnail?
• How have thumbnails evolved?
• Which topics perform best?
• Do celebrity guests perform?
• How much is A/B tested?

The research maps those changes across the history of the channel, including the evolution of its content mix, titles and visual style.

I’ve also published the underlying data and methodology openly, so journalists, researchers or anyone else interested can explore it themselves rather than relying on my findings.

A lot more data and findings at https://t.co/yFPdKjIb3s

[Brodie Clark @brodieseo]

One of my favourite free eCommerce SEO tools just received a massive upgrade.

The https://t.co/61ICOQzGqd tool created by @carlhendy is now action-packed with data to benchmark your store against competitors using hidden Google insights.

Test now and make sure to bookmark!

[Carl Hendy @carlhendy]

Felt cute, might delete later.

A bit of fun at https://t.co/ArQZKJxMBg.

[ecommerce @ecommerce]

AI-referred traffic to US retail sites grew 693% YoY over holiday 2025 (Adobe). It now converts 31% above other channels in Adobe's panel. A 973-site academic dataset says the opposite.

Both, side by side, with source, sample and period on every figure: https://t.co/Y53ZOz337b

[ecommerce @ecommerce]

@danbarker Congratulations on your launch 👏

[dan barker @danbarker]

There are lots of worries about jobs at the moment, but every company I've worked with over the last couple of years has been furiously hiring. 'digital' jobs are booming.

It's often hard to find the decent jobs on LinkedIn, or the big jobs boards, as the good ones are mingled in with lots of spam, and 'ghost jobs' (where for example recruiters are harvesting CVs without actively hiring).

Here's a project to try and fix that. There are 125,000 jobs live already, all vetted to try and avoid the above problems, across every digital area - marketing, engineering, data, cyber security, product, AI, and much more.

The 125,000 current live jobs are filtered down from 1m+ total, getting rid of all of the CV harvesters, ghost jobs, etc, and anything over 90 days, to avoid wasting people's time. And each allows the jobseeker to upload their CV to get a match score on how likely they fit.

Every job is summarised in 3 lines, so you can find out quickly if it's what you want, before reading the whole job description, and we've also done some work so each job gives a full breakdown of the likely skills needed, even when those aren't mentioned by the hiring company.

There are jobs live from Google (1,495 jobs), Apple (435 jobs), OpenAI (229 jobs), Anthropic (217 jobs), Spotify (23 jobs), and tons more. And there's also a marketplace for people building AI agents to list them, and for companies to hire them.

It will keep growing (building with @marshalltay, who previously co-founded Palace Skateboards and co-owned Leyton Orient). There'll be more to help people - guides to help graduates, or people mid-career, to understand how they might fit different fields and how to switch to them, tools both for people looking for jobs and startups/other businesses hiring, etc.

Do have a look round, and please do share it with anyone who may find it useful.

https://t.co/FQltKbjhjL

[Carl Hendy @carlhendy]

Early days, but the recovery from this failed website migration is finally starting to get going. Hopefully, I’ll be able to talk about this one publicly one day. It’s a banger.

[ecommerce @ecommerce]

@BaskHealth is hiring a Customer Success Account Manager. Remote, full time, $65k to $100k.

They build the software telehealth brands run on:
intake, e-prescribing, payments, pharmacy fulfilment.

https://t.co/cJVtjx2zfe #jobs #ecommerce

[Carl Hendy @carlhendy]

Has anyone actually bought something or booked travel using 100% agentic search yet?

No Google. No browsing sites. No comparing options yourself.

Just told an AI agent what you wanted and let it research, choose and complete the purchase or booking?

[Carl Hendy @carlhendy]

Updated my free https://t.co/zx7WS0Pd1R tool.

Compare 5 ecommerce competitors across 30+ signals, including Google Shopping, Core Web Vitals, Lighthouse, Knowledge Graph, trust checks, review momentum and more.

Still 100% free. No signup. All public Google data.

[Carl Hendy @carlhendy]

I've rebuilt my free Knowledge Graph Search tool. Search any brand or person to see what Google knows about them, whether they have a verified Google profile, and how Wikipedia, Wikidata and Common Crawl see them. You can even compare two entities side by side.

[Carl Hendy @carlhendy]

@Cloudflare's new AEO Visibility product feels like Similarweb for AI discovery: tracking brand mentions, citations, prominence and share of voice across models, then adding crawler and referral data from the site itself.

[ecommerce @ecommerce]

Great work from Brodie as always 👏

[Brodie Clark @brodieseo]

The future of Ecommerce AI SEO is in product feeds. This is the article to read to stay ahead of the trend.

I spent many hours learning about and testing in Microsoft's Merchant Center so you don’t have to.

There’s a case study in here that has some eye-opening results for free product listings on Bing.

Within the article, I compare and contrast Google to Bing’s Merchant Center, showing steps for accessing key reports, importing your feeds, relevant free listing surfaces, and more.

Including some details on the introduction of product feeds in ChatGPT, with it being highly likely that they will eventually rely solely on their own product feed integration for free listings.

Read here: https://t.co/k61H9j2llX

[ecommerce @ecommerce]

Server Log Monitoring for Ecommerce: What to Log and Why https://t.co/uJz6v9PZfC

[ecommerce @ecommerce]

It’s dropped 👀 https://t.co/j2rDnAgguF