Cost of Ranking A Website can’t be higher than Cost of Not Ranking the Website.
Koray Tuğberk GÜBÜR, 3 March, 2023, Saigon
Which one is Cheaper?
Website B
1400 Content Item (Web Pages)
1200 Triples
94% Accuracy
7 Connected Topics
Clarity %96
Website A
600 Content Item (Web Pages)
900 Triples
59% Accuracy
3 Connected Topics
Clarity %78
To satisfy 9 Million Search Queries�I won’t rank 9 million different website.
Topical Authority is born from the idea of Decreasing the Cost of Retrieval.
Have Query Responsiveness
Prepare for Future Generative AI Search
LLMo Optimization for SEO
Human Effort with Microsemantic Optimization is must.
Find a Knowledge Base
Verbalize the Knowledge Base
Verbalize the Knowledge Base
Use Natural Language Inference with Chain of Reasoning
Semantics are Language Agnostic.
Source: Facilitating communications with automated assistants in multiple languages
Cross-lingual Embeddings for Semantic Search
A Cross Lingual Embeddings Example for the Sentence
‘Semantic search is an opportunity for Conversational Generative AI Search.’
Some Research Papers and Patents from Google
Word Embeddings with Semantic Distance and Context Associations.
Some Research Papers and Patents from Google
Word Embeddings with Semantic Distance and Context Associations.
Some Research Papers and Patents from Google
Word Embeddings with Semantic Distance and Context Associations.
Some Research Papers and Patents from Google
David C. Taylor – Context and Knowledge Domains with Embeddings
Some Research Papers and Patents from Google
Hexagon is connected to Ultrasonic.
Ultrasonic is not a primary connection to Hexagon.
Some Research Papers and Patents from Google
«Hexagon» is an «Ultrasonic Wave» type.
Some Research Papers and Patents from Google
‘Quartz’ and ‘Cleaner’.
Macro Context: ‘Industrial Ultrasonic Cleaning Machines‘.
How to Understand Language Models and Semantic Connections within them
‘Quartz’ and ‘Cleaner’.
How to Understand Language Models and Semantic Connections within them
‘Quartz’ and ‘Ultrasonic’.
What is Large Language Model Optimization?
A Language Interpretability Tool by Google is published. You can check ‘Word Compositionality’ and ‘Embeddings’
for certain contexts.
How to Understand Language Models and Semantic Connections within them
Large Language Model Optimization and Answer Engine Optimization are different technical expressions for Semantic Search Engine Optimization.
Sequence Modeling (Word Compositionality Modeling)
İs backbone of Semantic SEO.
‘chase’, ‘eat’, or ‘fly’?.
Optimize Sequences of Words. (Sequence Modeling).
An Example of Relevance Configuration
‘Financial Advisor helps families to achieve financial independence.’
‘Families achieve financial independence with the help of the financial advisor.’
Macro Context: ‘Financial Advisor’
Macro Context: ‘Family Economics’
Possible Search Queries: ‘Financial Advisor + Family’
Possible Representative Question: ‘What does Financial Advisor help families for?’
Possible Search Queries: ‘Family + Financial Independence’
Possible Representative Question: ‘How does a family achieve financial independence?’
How to Understand Language Models and Semantic Connections within them
‘Purple Yam’ -> ‘Sweet Potatoes’
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