Tengence Intelligent Search: An AI-Driven On-Site Search Solution
Tengence Intelligent Search fixes four on-site search failures with query understanding, keyword and vector recall, fused ranking, rules and search analytics.
Sep 21, 2026
Tengence Intelligent Search fixes four on-site search failures with query understanding, keyword and vector recall, fused ranking, rules and search analytics.
Build or buy search? In-house needs 6-8 people and 10-15 months to launch, plus 0.5-1.0 FTE. Compare Tengence Search SaaS on cost, timeline, and results.
A content calendar is not a publish schedule: it binds topic sources, capacity and channel rules. Four layers, five supply lines, and a 70%-80% buffer rule.
Search relevance problems split into recall vs. ranking failures: offline replay, multi-path recall, two-stage ranking, Learning to Rank, and a 3-phase rollout.
Do not merge search and recommendation. Share the data and recall base, split ranking and strategy, then roll out in four phases with clear engineering metrics.
Semantic search matches meaning with vectors, keyword search matches wording. See how each works, where each fails, and why hybrid search is the default.
Most 'not significant' A/B results are design flaws, not weak creative. 2026 data: low-power tests replicate at only ~28.4%; ~74.2% show no difference.
Public and private domains are halves of one funnel: 150-300 yuan per acquired user vs 20-50 yuan per repeat touch. The chain breaks at four interfaces.
Backlinks still matter in the AI era, but as a trust foundation: Ahrefs data shows backlink volume correlates at 0.218 vs 0.664 for unlinked brand mentions.
Google retired FAQ rich results on 2026-5-7, but FAQPage is still parsed with no penalty. This guide lists which types still work and your priority next steps.
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