Neural Command created a knowledge base and courses on Prechunking Content Engineering A Systems-Level Course for LLM Ingestion, Retrieval, and Citation. this is for advanced #seo and #Aiseo https://t.co/l8NKt8blH9

1. Parse 2. Shape 3. Verify 4. Publish https://t.co/TqOA9VnORB

Caught Another seo grifter in the wild.

Seo frauds think visibility or “AI intelligence” grows linearly..wrong It compounds or it decays. dE/dt = B (C − D) E E is how strong your idea exists in the system. B is amplification. C is signal. D is noise.

Look at this #seo grifter - turned off comments when I pointed out his lie about a tool in Google search console Don’t trust seo grifters

Never trust an seo grifter - this is so far from true - it’s embarrassing

crawling & indexing doesnt actually mean shit

how is this an #seo win?

Today, we are excited to introduce a new feature in the Search Console Performance report: weekly and monthly views. https://t.co/gjJyOybEhX This new functionality allows you to adjust the time aggregation of any of the performance charts, helping you smooth out daily changes

How come all the reddit posts discussing #google and their llms.txt file have an internal server error? https://t.co/FwflWS84xX

Purist for legacy seo companies just means content farms and backlink firms , seo is going back to actual structured data for truth verification rather then spamming for relevance

Lol and all the so-called "SEO experts" were upset when we made LLMs.txt feature available in AIOSEO for website owners @aioseopack 😁 This has happened several times now when folks who are "outdated" hide behind the label of "purist" and try to block / criticize innovation.

The craziest part about this is if you’re savvy enough, technical seo can be done on your own with 2-3 agents, google cloud api access to you gsc backend and local google bot to assess dom render

They expect you to: Declare discovery surfaces via sitemaps. Use robots.txt and robots meta tags precisely, not sloppily. Avoid infinite URL spaces (facets, parameters, calendars, filters).

“get your content on Google,” “check if page is indexed,” etc. What this tells you: Google still has a finite crawl budget model, especially for large and faceted sites.

2.1 Crawl & Index System Docs: crawl budget, large sites, sitemaps (normal, news, video, image), robots.txt creation/specs, blocking with noindex, managing faceted navigation, redirects, site moves, HTTP status codes, user agents (Googlebot, APIs-Google, Read Aloud),

Only a tiny handful are explicitly about AI / generative content. A serious chunk is spam, abuse, malware, social engineering, explicit content, repeat offenders. A whole section is about Search Console, debugging, search operators, bubble charts, traffic drop analysis.

A big block is structured data + schema: “Structured Data Markup that Google Search Supports”, “Structured Data Search Gallery”, “Organization Schema”, “Product”, “Article”, “FAQ”, “JobPosting”, “Top Places”, “Vacation Rental”, etc.

Deep read: what llms.txt really encodes about Google’s model of the web. You can see very clearly in the file: ~30+ docs are about crawling, indexing, sitemaps, robots, HTTP, faceted nav, Googlebot variants.

Google wants declared meaning. HTML = presentation Schema = meaning