CyberAndy

Query Fan-Out: A Data-Driven Approach to AI Search Visibility - WordLift Blog Google’s AI Mode doesn’t just process a query—it explodes it into a network of sub-queries, fanning out across Google’s Knowledge Graphs and web index to generate comprehensive answers.

Here is my contribution to the Google AI Mode debate and how we can potentially unpack every query into follow-ups.

I built a tool to share the idea:
Query Fan-Out Simulator → wor.ai/query-fan-out

⚙️ Detects core entities
🤖 Generates follow-ups
🧪 Tests your content’s structure

Indeed, the recipe is simple and I believe it can be generalized:

1️⃣ A Small model (2, 3 or 4B),
2️⃣ A Well-defined ontology,
3️⃣ A set of task templates,
4️⃣ A reward policy

cyberandy/SEOcrate-4B_grpo_new_01 · Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hi there, I am working on an article to share the methodology and in the meantime you can find out more on the model card huggingface.co/cyberandy/SE...

Google AI Overviews With Author Names & Links Google seems to be testing showing author names and website citations in the AI Overviews. I am honestly not sure if this is new but Christian Kunz said it was and posted about it on his blog and on X...

Google AI Overviews with author names www.seroundtable.com/google-ai-ov...

YouTube video by WordLift WordLift: Model Context Protocol Integration with Claude

youtu.be/6dz_-LbP3eQ

🚀 MCP is live.

Claude + Agent WordLift now team up to handle complex SEO tasks:
→ Entity gap analysis
→ Meta descriptions
→ Internal links
→ FAQs, overviews, product highlights & more

Backed by a Knowledge Graph and real tools—not just prompts.

🚨 Calling all web experts! 🚨

The 2025 Web Almanac is still open for contributors!

Know someone perfect for it? Mention them here and help us reach the right folks. 🙌

📢 Please help us spread the word!

🔗 Learn more: github.com/HTTPArchive/...

cyberandy/SEOcrate-4B_grpo_new_01 · Hugging Face We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Would love to see more teams converging on the research front - we tried to document the internals in the model card huggingface.co/cyberandy/SE... (quite surprisingly the model - and the openly contributed quantized versions that others have made have reached in a few days 650 downloads!)

Now it’s time to hear from @cyberandy.bsky.social and Beatrice Gamba from WordLift as they present on #ontology based reinforcement learning for #AI in #SEO and #contentmarketing

#KGC2025 #DeepSeek

Thanks @pacoid.bsky.social it means tons coming from you!!

Excellent tutorial at the Knowledge Graph Conference today in NYC: "Teaching AI to Think Like Writers - The Aha Moment for Ontology-Based Reinforcement Learning" by @cyberandy.bsky.social @begam9.bsky.social implementing some of the most innovative ideas that I've seen in a long while!

Future-Proofing Your Content: An Ontology-Driven Approach to Train Your Next SEO Agent - WordLift Blog “You Are Bigger Than SEO” — and So Is Every Other Domain Rand Fishkin’s opening line at iPullRank’s inaugural SEO Week New York — “You Are Bigger Than SEO” —struck a chord. Rand is absolutely right. H...

This is what keeps me up at night. After 105 days studying DeepSeek R1, we built something different.

SEOcrate is a 4B parameters reasoning model trained using GRPO on SEOntology.

Presenting this at KGC today with @begam9.bsky.social 🔥🔥🔥
wor.ai/Ng2RUa

Thanks @unsloth.ai for providing the model!

@brieeanderson.bsky.social has a super rad (and very on brand) background behind/between her slides at #seoweek

SEO ain't dead... for some reason, it's disruptive again—now with a 3.0 flavor.

🚀 Just shipped Content Quality Evaluation in Agent WordLift!
Every AI needs a solid feedback loop. Our new API scores content quality, readability & SEO—no matter who (or what) wrote it.

It’s our way of fighting AI slop. Here is the official documentation docs.wordlift.io/agent-wordli...!

haha his name is Bizet :) (cc @ammonjohns.bsky.social not my password 😜)

I do have a cat 🐈😻.

Slightly refined...

😆 Weekends are for relaxing.

A great suggestion Jes 👏👏

AI Agents & Model Context Protocol: The Future of eCommerce - WordLift Discover how AI agents and the Model Context Protocol are reshaping eCommerce, SEO, and voice-activated shopping, making AI your next key customer.

When back in November I shared how llms.txt might have helped GPTBot crawl our site, many asked:
“How do I build one for an eCommerce website?”

Well…The real answer is MCP — and it’s time SEOs start paying attention.

Here is my latest article:

wordlift.io/blog/en/ai-a...

Why G Won’t Be Transparent About Its AI Adoption.

💥 Bonus AI Mode Research Insights:

🔎 Advanced citation mechanics: Links frequently take you to pages with referenced text highlighted (just like featured snippets occasionally do) - huge clue about what Google values!

🔥 5 Days Left to register for Actionable AI For Marketers (discount link below)

Amazing overview of how #SEO is being re-written! Bravissima Britney 👏👏👏

THIS.

“I am not interested anymore in LLMs. They are just token generators [..] I am more interested in next-gen model architectures, that should be able to do 4 things: understand physical world, have persistent memory and ultimately be more capable to plan and reason.”

@yann-lecun.bsky.social

As @lilyray.nyc recently pointed out, LLMs' memory is shaped (among other factors) by social media conversations.

Thinking about marketing strategies through a neuroscience lens is no longer sci-fi—it’s becoming a practical framework for all of us!

Thanks, @larry.bsky.social, for the interview!

I will read it carefully and then read it again. You should do the same!

Yes, that is correct. It is the deepest understanding that a language model has of the world. The memory layer after post-training in a language model is made of key concepts.

Two big LLM releases today - Cohere's Command A simonwillison.net/2025/Mar/13/... and Ai2's OLMo 2

OLMo claims to be "the first fully-open model (all data, code, weights, and details are freely available) to outperform GPT3.5-Turbo and GPT-4o mini", which feels notable allenai.org/blog/olmo2-32B

In Agentic AI, personalization is driven by the episodic memory layer, making it a key differentiator.

Wikipedia → Wikidata → Neuronpedia.
🔥🔥🔥