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Retrieval tuning (BM25+embeddings), simulate LLM answers/attribution, model entity/topic coverage, and add the evidence LLMs need to cite you.
Log/crawl anomaly detection, internal-link graphs, predictive crawl budget, duplicate/canonical classifiers & CI/CD autofixes.
Knowledge graphs & entity resolution, automated schema.org, ML mapping of product/category feeds & attribute extraction.
RAG pipelines, fact-checking & safety, brand/style classifiers, content quality scoring to prioritize edits.
Grounded chat/agents, query rewriting & guardrails, evaluation harnesses tied to funnel impact.
Embeddings for recs & next-best-action, uplift/bandits, ML-generated copy/layout variants with guardrails.
GenAI assets with brand safety, fatigue detection, message clustering, and budget allocation from response curves.
MMM/MTA, incrementality & geo-experiments, causal inference for SEO changes, forecasting under volatility.
Warehousing/feature stores & vector DBs, eval/monitoring for drift & cost, lineage/quality checks for marketing data.
GDPR/CCPA layers in prompts/pipelines, copyright/licensing guardrails, fairness/bias audits & red-team testing.