Page 2 · GEO Blog | 集群科技

2026-09-28 11 min

AI Search Visibility Diagnosis & Competitive Co-occurrence Analysis: A GEO Methodology for Being Cited and Recommended

In generative engines, whether a brand gets cited depends on retrieval, comprehension, and trust. This article presents a practical AI search visibility diagnosis framework that breaks answer visibility into measurable metrics, and introduces competitive co-occurrence analysis: measuring how often your brand and rivals appear in the same AI answer to gauge semantic penetration. Includes a diagnostic checklist, co-occurrence matrix design, KPI dashboard, and common pitfalls for B2B and brand marketing teams.

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2026-09-28 9 min

Doubao GEO Enterprise Visibility and Answer-First Content Engineering: From Indexed to Cited

Doubao and other domestic AI search engines are reshaping enterprise discovery. This guide explains how Answer-First content engineering improves Doubao GEO visibility, covering citation mechanics, structured evidence chains, measurable KPIs, and a practical roadmap from glossary and FAQ optimization to internal linking and case-page upgrades for B2B and brand marketing teams.

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2026-09-21 11 min

B2B LLM Citation Source Matrix & Authority Signal Building: Becoming the AI's Default Answer

In the zero-click and AI Overviews era, whether a B2B brand gets cited by LLMs depends on the completeness of its citation source matrix and the strength of its authority signals. This article proposes a three-layer citation matrix plus four authority signal categories, breaks down chunking, first-mention position and FAQ optimization, and offers measurable GEO KPIs.

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2026-09-21 10 min

AI Search Visibility Diagnostics and Competitive Co-occurrence Analysis: The First Step of Enterprise GEO

When buyers ask Doubao, DeepSeek or Kimi, whether your brand is cited—and which competitors appear alongside it—is the new B2B battleground. This article presents an actionable AI search visibility diagnostic framework: prompt testing, co-occurrence matrices, citation-chain attribution and competitive benchmarking, turning 'am I in the AI answer?' into a measurable, trackable and optimizable KPI system.

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2026-09-15 10 min

RAG Citation Brand Building: Getting AI Search to Cite Your Brand

In the GEO era, whether a brand gets cited by LLMs depends on entering the RAG citation chain. This guide breaks down Answer-First structure, knowledge base design, schema markup, intent mapping and citation attribution, with an actionable diagnostic checklist and KPI framework to grow share of AI voice across Kimi, Qwen and Wenxin.

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2026-09-14 11 min

GEO KPI Dashboards and Prompt Automation Testing: Making AI Search Visibility Measurable and Iterable

As GEO moves from concept to engineering in 2026, brands need a measurable, regression-testable system rather than scattered screenshots. This article breaks down GEO KPI dashboard design—brand mention rate, citation frequency, answer inclusion rate and AI visibility index—and shares prompt automation testing practices: test-set construction, multi-model concurrent runs, result diffing and alerting. JiQun Tech client practice shows that binding dashboards to automated testing shifts GEO from guesswork to data-driven iteration.

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