DIVISION:
GENERATIVE ENGINE OPTIMIZATION

SITUATION_REPORT EVOLVING

CURRENT STATE: The "Ten Blue Links" era is collapsing. Users now query LLMs directly for synthesized answers.

MISSION: Transition SQUADROID's visibility strategy from Traditional SEO (Search Engine Optimization) to comprehensive GEO (Generative Engine Optimization). Ensure our entities are the source of truth for AI models.

THE SHIFT
FROM KEYWORDS TO ENTITIES

THE NEW SEARCH PARADIGM

> SEO: OPTIMIZING FOR CRAWLERS
> KEYWORD DENSITY -> IRRELEVANT
> BACKLINKS -> SIGNAL NOISE
> -------------------------
> GEO: OPTIMIZING FOR LLMS
> ENTITY SALIENCE -> CRITICAL
> SEMANTIC AUTHORITY -> CRITICAL
> STRUCTURED DATA -> MANDATORY
GEO CORE PRINCIPLES
  • Credibility & Citations: LLMs prioritize sources with high citation authority.
  • Semantic Structure: Content must be formatted for easy machine parsing (JSON-LD, Lists, Direct Answers).
  • Fluency & Optimization: Content must be intelligible and valuable to the model's training objective.
TACTICAL EXECUTION
PROTOCOL: DIRECT ANSWER ACTIVE

FORMATTING FOR INCLUSION

Standardize all content output to "Answer First" methodology.

  • The Definition: Clear, concise definition of the topic in the first 50 words.
  • The List: Bullet points or numbered lists immediately following.
  • The Table: Structured comparison data where applicable.
PROTOCOL: KNOWLEDGE GRAPH

ENTITY ESTABLISHMENT

  • SameAs Schema: Link all social profiles and external citations.
  • About Schema: Explicitly define what the page is about using Wikidata IDs.
  • Mentions Schema: Tag related entities to build semantic relationships.
ENGINE SPECIFIC
OPENAI / CHATGPT

Focus on proprietary plugins and Bing index data. High emphasis on reputable, mainstream citations.

PERPLEXITY.AI

The "Answer Engine". Requires real-time data freshness and clear, scholarly sourcing. Academic format preferred.

GOOGLE SGE / GEMINI

Heavy reliance on Google's Knowledge Graph. YouTube video transcripts and reputable news sources are prioritized.

CLAUDE

Large context window analysis. Prefers comprehensive, well-structured long-form content over snippets.

SUCCESS METRICS
MEASUREMENT STANDARDS
  • Share of Model (SoM): Frequency of brand mentions in AI-generated responses for category keywords.
  • Sentiment Analysis: AI perception of the brand (Positive/Neutral/Negative).
  • Citation Frequency: How often our URLs are provided as "Learn More" sources.