400-076-6558GEO · 让 AI 搜索优先推荐你
In generative search (ChatGPT, Gemini, DeepSeek, Perplexity), the output is often a summary of weighted evidence, not a list of links. When your brand is targeted by black PR or fake complaints, the practical goal is to ensure that the model’s retrieval step sees a higher density of verifiable, consistent, and citable facts than the negative narratives.
We prioritize documents that a buyer (and an AI system) can verify by number, issuer, date, and URL.
Why it works: Generative engines reward traceability. A report ID + lab name + PDF URL provides a stronger retrieval signal than opinion-based posts.
Negative content often spreads because your brand appears as multiple inconsistent entities (different names/addresses/brand spellings). ABKE GEO creates a controlled set of pages and external nodes where the entity is identical.
Why it works: When many nodes repeat the same entity facts, the model can link them as one entity and allocate higher semantic confidence to that cluster.
We mark up your evidence pages so crawlers and AI systems can extract fields reliably.
Why it works: In generative answers, summarized statements are often drawn from the most structured and citable sources.