What is “Latent Dirichlet Allocation (LDA)”
Latent Dirichlet Allocation (LDA) in AI Terms in Content MarketingDefinition Content marketing strategically creates and share... is an algorithmDefinition The SEO algorithm includes rules and calculations... that automatically finds hidden topics within large sets of text. It groups words with similar meanings, helping a digital marketing agency in Auckland uncover audienceDefinition The term "Audience" refers to the group of indivi... interests, trending ideas, and keyword gaps. The result makes content planning more strategic and aligned with real search intent.
AI-Based Topic Discovery Framework
Purpose: Identify key content themes and topic clusters using LDA analysis.
Example Application:
Run LDA across our website blogs to reveal major content themes for a performance marketing agency.”
Expected Result:
Topic categoriesDefinition Categories, in the context of SEO and digital mar... such as “SEO strategy,” “content engagementDefinition Engagement in content marketing refers to the deg...,” and “conversionDefinition In the realm of SEO, Conversion refers to the pro... optimisation.”
Real-World Use:
Marketers use these results to refine keyword lists, improve internal linkingWhat is Internal linking? Internal linking refers to the pra..., and create better-targeted SEO campaigns.
Formula and Simple Example
LDA calculates the probability that a word belongs to a specific topic.
Simplified Formula:
P(Topic | Word) = (Topic Count + α) / (Total Words + β)
Example:
A blog containing 200 words includes 30 words related to “SEO content.”
So, P(SEO Topic) = 30 ÷ 200 = 0.15 or 15 %.
An SEO company in Auckland can use this probability to identify under-represented P (SEO Topic) = 30 ÷ 200 = 0.15, or 15 themes and build supporting articles that boost topical authority.
Key Takeaways
- Reveals topic patterns hidden in large content sets.
- Helps performance marketing agencies map audienceDefinition The term "Audience" refers to the group of indivi... interests.
- Strengthens SEO by clusteringDefinition Clustering is an AI technique used to group simil... related keywordsDefinition Keywords are crucial for SEO success as they conn... and topics.
- Automates theme discovery to save research time.
- Improves content consistency and boosts search relevanceDefinition In SEO, relevance refers to the degree to which a....
FAQs
What is Latent Dirichlet Allocation in AI content marketing?
It’s a topic-modelling method that organises large text data into relevant themes to improve content structure and search targeting.
How does LDA help SEO agencies?
It helps digital marketing agency Auckland teams identify content trends, cluster keywordsDefinition Keywords are crucial for SEO success as they conn..., and create topic-based strategies.
Can LDA enhance keyword research?
Yes — it uncovers contextual word patterns that traditional keyword tools might miss.
What type of data can LDA analyse?
It can process blog content, web pages, product descriptions, and user reviews for theme extraction.
Is LDA difficult to use for small teams?
Not at all. Even smaller SEO companies can use online LDA tools or pluginsDefinition SEO plugins enhance CMS or web browsers with feat... to get topic insights quickly.
