For Webmasters/ #SEO# Specialists: Structured Data Google Penalties – 5 Mistakes to Avoid via @martinibuster, @sejournal #SEOChat# #webdev# #webdevelopment# #webDesigneranddeveloper# #webdesigner# #webmaster# #GoogleRank# #googlereviews# #EmailMarketing# #business#

Missing Google reviews? Industry experts suggest it’s a counting glitch - should be fixed soon - here’s how to get hidden reviews back though when it does happen though (and it happens more than people think)

PSA TO NEOCLOUDS COPING ABOUT CLUSTERMAX RATING: If you run a restaurant and you get bad Google reviews, don't attack the review. Instead listen and it might make your service better. For more food-related metaphors about neoclouds, check out:

Our team are the best in the business! #CustomerFeedback# #MovingWithCrown# #MovingReviews# #CrownMovingReviews# #GoogleReview# #CrownMovers# #RelocationsFeedback# #CustomerTestimonials# #CustomerReview# #CrownRelocationsNZ# #ProfessionalMovers#

$LBM has broken out and just smashed ATH today. The market is catching up to what this actually is... Everyone sees the @Litebeam_xyz routing layer. One MCP connection. Thousands of microservices. That's the access story. The bigger story is what happens as call volume compounds. Every routed call creates a signal. Latency. Price. Settlement. Success or failure. Reuse or drop. Over time those signals form a service reputation graph built from real execution, not vendor marketing. That's the equivalent of Google Reviews for AI agents, except it generates automatically during every transaction. Machine-readable. Tied to payments. Specific to capabilities. Impossible to fake. When the AI services economy scales from hundreds of vendors to thousands to millions, agents won't manually compare them. They'll route through infrastructure that already knows which services to trust. Reputation becomes the mechanism that keeps the market usable. That's what @Litebeam_xyz is building toward. Not just the routing layer... The trust layer. @virtuals_io

this OpenClaw bot finds restaurants with ugly menus, rebuilds them as live web menus, and mails the owner a postcard...on autopilot. here's how agencies can land recurring contracts with this system: - scrapes every restaurant in a city in real time - filters by review count + rating + last menu update + photo quality - pulls the real menu items from the official site, PDF, or Google reviews - samples the brand palette from the restaurant's own visual identity - renders a 9:16 brand-matched menu, hosted live at a QR-accessible URL - writes a personalized postcard referencing a real reviewer and a real dish - mails it to the registered office addressed to the owner by first name every step from discovery to brand-matching to outreach is automated. reply "MENU" + RT and i'll send you a free guide so you can build this too