MLforSEO
@mlforseo.com
Training platform for ambitions organic search markets to practically and responsibly learn how to implement AI/ML, created by @lazarinastoy.com
Google runs 100k+ SERP experiments every year. 🚀SERP Feature Analysis = your way to piggyback on that research.
Study snippets, PAAs, local packs & more → reveal intent + format signals, build smarter content & out-position rivals.
👉 youtu.be/0iQlH8szHUU?...
#SEO #ContentStrategy
Study snippets, PAAs, local packs & more → reveal intent + format signals, build smarter content & out-position rivals.
👉 youtu.be/0iQlH8szHUU?...
#SEO #ContentStrategy
SERP Features and AI-powered, ML-enabled SERP Feature Analysis for Semantic SEO Keyword Research
Mastering SERP Analysis and SERP Features for SEO Success
In this video, Lazarina Stoy discusses the complexities of SERP (Search Engine Results Page) analysis and SERP features. You'll learn about…
youtu.be
November 12, 2025 at 9:02 PM
Google runs 100k+ SERP experiments every year. 🚀SERP Feature Analysis = your way to piggyback on that research.
Study snippets, PAAs, local packs & more → reveal intent + format signals, build smarter content & out-position rivals.
👉 youtu.be/0iQlH8szHUU?...
#SEO #ContentStrategy
Study snippets, PAAs, local packs & more → reveal intent + format signals, build smarter content & out-position rivals.
👉 youtu.be/0iQlH8szHUU?...
#SEO #ContentStrategy
Yesterday, we shared a little on the EAV (Entities–Attributes–Variables) model. In our YouTube video, Lazarina Stoy looks deeper into how EAV combinations power smarter keyword research + entity-rich content.
🎥 Watch the lesson snippet and subscribe →
🎥 Watch the lesson snippet and subscribe →
How to implement the EAV (Entity-Attribute-Variable) Model in Semantic Keyword Research
Unlock the Power of EAV Model in Semantic Keyword Research for SEO
In this comprehensive video, we discuss the EAV (Entities, Attributes, Variables) model, a crucial concept for understanding…
www.youtube.com
November 10, 2025 at 7:38 PM
Yesterday, we shared a little on the EAV (Entities–Attributes–Variables) model. In our YouTube video, Lazarina Stoy looks deeper into how EAV combinations power smarter keyword research + entity-rich content.
🎥 Watch the lesson snippet and subscribe →
🎥 Watch the lesson snippet and subscribe →
Google ranks by entities + context. The Entity-Attribute-Variable model is how you:
– Map what users really want
– Spot gaps competitors miss
– Build scalable, semantic content
That’s how you uncover content opportunities that users actually care about.
#SEO #SemanticSearch #EAVmodel
– Map what users really want
– Spot gaps competitors miss
– Build scalable, semantic content
That’s how you uncover content opportunities that users actually care about.
#SEO #SemanticSearch #EAVmodel
Entities, Entity Attributes, Entity Attribute Variables (EAV Model) - MLforSEO Academy
Entities, Entity Attributes, Entity Attribute Variables (EAV Model) – Lesson Preview Modern search has shifted from strings to things. This lesson shows Marketing and SEO Professionals how to move…
academy.mlforseo.com
November 9, 2025 at 9:19 AM
Google ranks by entities + context. The Entity-Attribute-Variable model is how you:
– Map what users really want
– Spot gaps competitors miss
– Build scalable, semantic content
That’s how you uncover content opportunities that users actually care about.
#SEO #SemanticSearch #EAVmodel
– Map what users really want
– Spot gaps competitors miss
– Build scalable, semantic content
That’s how you uncover content opportunities that users actually care about.
#SEO #SemanticSearch #EAVmodel
Implicit feedback = hidden keyword research.
CTR, dwell time, pogo-sticking, and scrolls are signals that show if content satisfies intent.
👉Track queries + engagement
👉Spot weak spots
👉Adjust content + UX
That’s how you turn signals into SEO wins.
#SEO #ContentStrategy
CTR, dwell time, pogo-sticking, and scrolls are signals that show if content satisfies intent.
👉Track queries + engagement
👉Spot weak spots
👉Adjust content + UX
That’s how you turn signals into SEO wins.
#SEO #ContentStrategy
Implicit User Feedback and User Search Behaviour - MLforSEO Academy
Implicit User Feedback and User Search Behaviour – Lesson Preview This lesson tackles a hotly debated question in SEO: how much does user behaviour influence rankings? You’ll learn what Google calls…
academy.mlforseo.com
November 8, 2025 at 8:13 AM
Implicit feedback = hidden keyword research.
CTR, dwell time, pogo-sticking, and scrolls are signals that show if content satisfies intent.
👉Track queries + engagement
👉Spot weak spots
👉Adjust content + UX
That’s how you turn signals into SEO wins.
#SEO #ContentStrategy
CTR, dwell time, pogo-sticking, and scrolls are signals that show if content satisfies intent.
👉Track queries + engagement
👉Spot weak spots
👉Adjust content + UX
That’s how you turn signals into SEO wins.
#SEO #ContentStrategy
🔎 In our new channel video, we break down query augmentation. Learn how users and search systems enrich queries with related entities to refine results.
Learn how to:
✨ Identify entity relationships
✨ Optimise internal links
✨ Research thematic searches
Learn how to:
✨ Identify entity relationships
✨ Optimise internal links
✨ Research thematic searches
Query Augmentations - Definition, Importance, Patents & Research Approaches - MLforSEO
Understand How Users Augmented Search Queries and How Google Utilises this Information to Enhance Search Results, and use this knowledge in practice during the semantic keyword research phase to…
youtu.be
November 7, 2025 at 11:30 AM
🔎 In our new channel video, we break down query augmentation. Learn how users and search systems enrich queries with related entities to refine results.
Learn how to:
✨ Identify entity relationships
✨ Optimise internal links
✨ Research thematic searches
Learn how to:
✨ Identify entity relationships
✨ Optimise internal links
✨ Research thematic searches
Query augmentation = search engines expanding queries for context.
Users refine. Google refines, too.
SEOs win when they:
– Map entities + attributes
– Anticipate refinements
– Link related pages
#SEO #QueryAugmentation #SemanticSearch
Users refine. Google refines, too.
SEOs win when they:
– Map entities + attributes
– Anticipate refinements
– Link related pages
#SEO #QueryAugmentation #SemanticSearch
Query Augmentation - MLforSEO Academy
Query Augmentation – Lesson Preview Understanding how Google and users expand search intent is critical to modern SEO. In this lesson, you’ll uncover how query augmentation shapes what appears in the…
academy.mlforseo.com
November 6, 2025 at 7:03 PM
Query augmentation = search engines expanding queries for context.
Users refine. Google refines, too.
SEOs win when they:
– Map entities + attributes
– Anticipate refinements
– Link related pages
#SEO #QueryAugmentation #SemanticSearch
Users refine. Google refines, too.
SEOs win when they:
– Map entities + attributes
– Anticipate refinements
– Link related pages
#SEO #QueryAugmentation #SemanticSearch
🔍 Query paths = the real map of how users search.
Check out the latest video in the MLforSEO channel and learn how to uncover and expand them using:
✨ Fuzzy matching & query distance
✨ Entity + n-gram analysis
✨ Reverse-engineering SERPs & social platforms
✨ User research on search styles
Check out the latest video in the MLforSEO channel and learn how to uncover and expand them using:
✨ Fuzzy matching & query distance
✨ Entity + n-gram analysis
✨ Reverse-engineering SERPs & social platforms
✨ User research on search styles
What is Query Sequence and Query Path and how to research for them in Semantic SEO Keyword Research
Mastering Semantic SEO Keyword Research: Understanding Query Sequences and Paths, with practical ways to research for them before creating content ✨
This video dives deep into the intricacies of…
www.youtube.com
November 5, 2025 at 7:15 PM
🔍 Query paths = the real map of how users search.
Check out the latest video in the MLforSEO channel and learn how to uncover and expand them using:
✨ Fuzzy matching & query distance
✨ Entity + n-gram analysis
✨ Reverse-engineering SERPs & social platforms
✨ User research on search styles
Check out the latest video in the MLforSEO channel and learn how to uncover and expand them using:
✨ Fuzzy matching & query distance
✨ Entity + n-gram analysis
✨ Reverse-engineering SERPs & social platforms
✨ User research on search styles
Most SEOs stop at macro intent (informational, transactional, etc). Useful, but incomplete.
Real users search with micro-intents (brand/product refinements) that reveal bottom-funnel, high-conversion signals.
Capturing both is key to more profitable SEO.
#SearchIntent #SEO
Real users search with micro-intents (brand/product refinements) that reveal bottom-funnel, high-conversion signals.
Capturing both is key to more profitable SEO.
#SearchIntent #SEO
What is Micro versus Macro Search Intent and how to get started with classificiations | MLforSEO
Most SEOs stop at classifying queries into macro intent buckets: informational, transactional, commercial, navigational. It’s useful, but incomplete.
Why? Because real users often search with…
youtu.be
November 4, 2025 at 11:01 AM
Most SEOs stop at macro intent (informational, transactional, etc). Useful, but incomplete.
Real users search with micro-intents (brand/product refinements) that reveal bottom-funnel, high-conversion signals.
Capturing both is key to more profitable SEO.
#SearchIntent #SEO
Real users search with micro-intents (brand/product refinements) that reveal bottom-funnel, high-conversion signals.
Capturing both is key to more profitable SEO.
#SearchIntent #SEO
SERP features = query semantics in action.
👉 Categorize features by intent
👉 Map formats that dominate
👉 Follow query refinements (PAA, filters)
👉 Use NLP/ML to cluster + label
That’s how you turn SERP analysis into strategy.
#SEO #KeywordResearch
👉 Categorize features by intent
👉 Map formats that dominate
👉 Follow query refinements (PAA, filters)
👉 Use NLP/ML to cluster + label
That’s how you turn SERP analysis into strategy.
#SEO #KeywordResearch
SERP Feature Analysis - MLforSEO Academy
SERP Feature Analysis – Lesson Preview Search isn’t just “10 blue links.” In this lesson, you’ll learn how to read the modern SERP (ads, carousels, knowledge panels, AI Overviews, People Also Ask,…
academy.mlforseo.com
November 3, 2025 at 6:52 PM
SERP features = query semantics in action.
👉 Categorize features by intent
👉 Map formats that dominate
👉 Follow query refinements (PAA, filters)
👉 Use NLP/ML to cluster + label
That’s how you turn SERP analysis into strategy.
#SEO #KeywordResearch
👉 Categorize features by intent
👉 Map formats that dominate
👉 Follow query refinements (PAA, filters)
👉 Use NLP/ML to cluster + label
That’s how you turn SERP analysis into strategy.
#SEO #KeywordResearch
SERP features come from query sequences.
Users refine, compare, and explore before they decide. Your SEO wins when you map the journey of intent. Optimise for the path, not just the keyword.
#SEO #SemanticSearch #ContentStrategy
Users refine, compare, and explore before they decide. Your SEO wins when you map the journey of intent. Optimise for the path, not just the keyword.
#SEO #SemanticSearch #ContentStrategy
Search Query Sequences and Query Path - MLforSEO Academy
Search Query Sequences and Query Path – Lesson Preview Understanding how users move from one search to the next is key to modern, semantic keyword research. In this lesson, you’ll learn how to…
academy.mlforseo.com
November 2, 2025 at 9:19 AM
SERP features come from query sequences.
Users refine, compare, and explore before they decide. Your SEO wins when you map the journey of intent. Optimise for the path, not just the keyword.
#SEO #SemanticSearch #ContentStrategy
Users refine, compare, and explore before they decide. Your SEO wins when you map the journey of intent. Optimise for the path, not just the keyword.
#SEO #SemanticSearch #ContentStrategy
AI agents search by meaning, not exact matches.
Build a semantic keyword universe: entities + intents + tasks linked in a graph. Cluster by problems, structure content to be agent-ready, and track topical coverage + share of answers, not just volume. Own the concepts, win the answers.
#SEO #AI
Build a semantic keyword universe: entities + intents + tasks linked in a graph. Cluster by problems, structure content to be agent-ready, and track topical coverage + share of answers, not just volume. Own the concepts, win the answers.
#SEO #AI
November 1, 2025 at 4:52 PM
Traditional SEO = search volume + keyword density.
Semantic SEO = entities, intent, and context.
Search engines don’t match strings anymore. They evaluate meaning + helpfulness. Want to rank? Understand the why behind queries, not just the words.
#SEO #AI #KeywordResearch
Semantic SEO = entities, intent, and context.
Search engines don’t match strings anymore. They evaluate meaning + helpfulness. Want to rank? Understand the why behind queries, not just the words.
#SEO #AI #KeywordResearch
October 31, 2025 at 9:31 PM
Traditional SEO = search volume + keyword density.
Semantic SEO = entities, intent, and context.
Search engines don’t match strings anymore. They evaluate meaning + helpfulness. Want to rank? Understand the why behind queries, not just the words.
#SEO #AI #KeywordResearch
Semantic SEO = entities, intent, and context.
Search engines don’t match strings anymore. They evaluate meaning + helpfulness. Want to rank? Understand the why behind queries, not just the words.
#SEO #AI #KeywordResearch