MCP is not a ranking factor, but it changes how AI agents reach enterprise data. Learn the real impact on GEO strategy and practical first steps for 2026 and beyond.
Wikidata is the machine-readable fact backbone for AI; Wikipedia is training corpus and citation source. Learn the split, notability bar and five build steps.
RAG fixes what models cannot know: your private data, last week's policy update, internal knowledge. Retrieve first, then generate with sources, no retraining.
A WeCom SOP turns first contact to a closed deal into triggerable standard actions: four-stage design, tiered nurturing, tag coordination, four health metrics.
Choosing a vector database on a feature checklist is the common mistake. Compare constraints: corpus size, latency budget, hybrid search, existing stack.
Retention is healthy when the curve flattens, not at one percentage. Covers three definitions, four curve segments, benchmarking, and measurement disciplines.
Behavior is a time-ordered event sequence, not aggregate counts. Covers event field specs, four analysis views, and bottleneck locating by relative performance.
Internal retrieval and external AI visibility share one base. Tengence unifies Search and GEO on one content base, solving findable inside and citable outside.
AI search optimization outcomes are highly industry-specific. This article reviews five industries, four replicable patterns, and a 30-day launch checklist.
Deployment risk is in sequence and rollback, not the feature. Reusable template: prep, five-phase path, canary, rollback plan, go-live acceptance, operations.
WeCom
