What do these categories mean?
1) AI Search & Generative SERP Optimization
Retrieval tuning (BM25+embeddings), simulate LLM answers/attribution, model entity/topic coverage, and add the evidence LLMs need to cite you.
2) Technical SEO Automation
Log/crawl anomaly detection, internal-link graphs, predictive crawl budget, duplicate/canonical classifiers & CI/CD autofixes.
3) Entity & Programmatic SEO
Knowledge graphs & entity resolution, automated schema.org, ML mapping of product/category feeds & attribute extraction.
4) AI Content Engineering
RAG pipelines, fact-checking & safety, brand/style classifiers, content quality scoring to prioritize edits.
5) Conversational Experiences & On-Site Assistants
Grounded chat/agents, query rewriting & guardrails, evaluation harnesses tied to funnel impact.
6) Personalization, CRO & Recommendations
Embeddings for recs & next-best-action, uplift/bandits, ML-generated copy/layout variants with guardrails.
7) Creative & Media Optimization
GenAI assets with brand safety, fatigue detection, message clustering, and budget allocation from response curves.
8) Measurement, Experimentation & Attribution
MMM/MTA, incrementality & geo-experiments, causal inference for SEO changes, forecasting under volatility.
9) Data Platform & MLOps
Warehousing/feature stores & vector DBs, eval/monitoring for drift & cost, lineage/quality checks for marketing data.
