Ecommerce x AI. Tools, platforms, MCP servers and agentic commerce, tracked daily.
Joined March 2008
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- Following2.8K
- Followers59.1K
- Likes921
ecommerce retweeted
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.
ecommerce retweeted
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 doac.audits.com
ecommerce retweeted
One of my favourite free eCommerce SEO tools just received a massive upgrade.
The StoreRatings.Co 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!
ecommerce retweeted
Felt cute, might delete later.
A bit of fun at carlhendy.com.
ecommerce retweeted
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.
digitaljobs.com
We are live today - the world’s first jobs platform for people and for AI agent jobs.
- 120,000+ digital jobs for people
- Quality is everything: no jobs older than 90 days, no ‘ghost jobs’ or ‘slop jobs’
- AI CV matching (upload your CV to see how you match up)
- Every job summed up in 3 lines, as well as comprehensive skills & descriptions, to save jobseekers time
- And a new marketplace for AI builders to list their AI agents / bots, and for companies to hire them
Please share, RT, follow along as we build to make this to the best jobs platform for engineers, digital marketers, cyber security, AI roles and more.
digitaljobs.com
ecommerce retweeted
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 retweeted
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?
ecommerce retweeted
Updated my free StoreRatings.co 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.
ecommerce retweeted
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.
ecommerce retweeted
@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 retweeted
Google has launched Search profiles for publishers and creators.
So I built a tool to help you find Search Profiles from anywhere.
search.audits.com/
ecommerce retweeted
How are you using AI in your ecommerce business?
There seems to be 1000 shiny tools but I'm curious what are the foundational negotiable workflows you are using for your brand on @shopify (or another platform)
ecommerce retweeted
What’s actually working in AI for your DTC brand/clients right now? 🤔
We’re building systems across creative, customer service, finance, and ops at @drinkbrez but filtering the noise & optimizing the workflow is exhausting.
Where are you gaining real $$$ traction? Drop tools/links/ROI & lets win together
ecommerce retweeted
This is a great read if you work in ecommerce. Every page becomes important.
💰 Ecommerce AI Search Optimization: What Citation Patterns Across 5 Subverticals Tell Us About Optimizing Beyond PDPs and PLPs 👇 My latest analysis.
For this research, I reviewed AI citation-source and cited-page data for 25 leading ecommerce sites across five US subverticals: general marketplaces, beauty and skincare, fashion and apparel, consumer electronics, and sports and outdoors, using @semrush Enterprise AIO data, identifying:
Pattern 1: AI ecommerce citations are broader than product and category pages
Pattern 2: A shared citation layer appears across ecommerce, but the role of each source changes by vertical
Pattern 3: The source mix changes according to the evidence AI systems need
Pattern 4: Each subvertical has a different buyer uncertainty pattern
Pattern 5: General marketplaces are the only vertical where peers cite each other heavily
Pattern 6: Even category-leading retailers hold a minority share of citations about themselves
Find out about these, subvertical specific findings and recommendations and what should ecommerce AI search specialists actually do.. including a recommended prompt testing framework by subvertical for a representative prompt library.
Read here: aleydasolis.com/en/ai-search…
ecommerce retweeted
Could Gemini overtake ChatGPT by year-end?
Possibly.
Similarweb data shows ChatGPT’s Gen AI traffic share fell from 77.6% to 53.7% in 12 months, while Gemini rose from 7.27% to 26.7%.
If that trend continues, Gemini could get very close by late 2026.
ecommerce retweeted
Hat-trick of official Google responses on SEO and GEO.
July 2025: Gary Illyes, Analyst on the Google Search team.
September 2025: Danny Sullivan (former Google Search Liaison).
December 2025: John Mueller, Google Search Relations.
ecommerce retweeted
Feels refreshing to see creativity in ecommerce that’s actually built for conversion.
And not a single mention of AI.
Website: In Common With
ecommerce retweeted
If you work in eCommerce, this should be your new favourite free tool for competitor research.
This tool allows you to quickly develop your own Google Shopping Experience Scorecard and compare against top domains for your region.
The tool puts to work metrics that Google use as an input to rank stores within Organic Shopping results by uncovering the relevant datasets in quite a smart and effective way.
Another major benefit of the tool is that it includes its own score (out of 100) to show where a store rates overall. This is especially useful if you already have the Top Quality Store badge or are close to achieving it.
As an example, JB HI-FI appear to be very close to achieving the TQS badge at a score of 82, whereas Harvey Norman still has a lot of work to do with a score of 51, being quite far off from achieving the associated benefits.
For JB HI-FI, it appears as though there could be some room for improvement within the 'website quality' category. There will be clearer hints as to where the gaps are within the 'store quality' report in GMC Next, but it likely relates to comparative Core Web Vitals metrics, or something like PDP image resolution.
For Harvey Norman, there look to be some foundational aspects that are holding them back related to shipping, returns, and pricing not being competitive enough. This may be harder to influence, so they would likely look to improve their Seller Rating (which is quite low), and then first look to an aspect such as 'returns', which might be a more reasonable internal discussion to have to start – considering the industry benchmark is clearly 30-day returns for most items.
Oftentimes, sites will have some form of a returns policy in place, but it is not detailed (either intentionally or unintentionally) on their website. This is something that you can't skirt around, as Google validates this information itself through their Shopping Bot, with the information that is inputted within GMC Next needing to match up with what is detailed on the website.
Highly recommend bookmarking this free tool for safekeeping for a time when you want to complete a competitor analysis across core metrics within your segment. Link in the comments.
