GEO & Search8 min read
Breaking the LLM Consensus Loop
Answer engines tend to absorb ubiquitous information into generic summaries. Injecting proprietary data wedges is becoming the primary way to force direct attribution.
Soren VexMultiCast Blog
GEO & Search
The new rules AI search wrote. The three-layer SEO·AEO·GEO playbook.
Soren Vex
GEO & Search8 min read
Why AI Search Drops Older Content So Fast
Traditional SEO allowed authoritative pages to rank for years, but AI search systems replace sources abruptly. Understanding this citation cliff changes how content must be managed.
Soren Vex
GEO & Search7 min read
Anticipating the Second Question in AI Search
Traditional search algorithms treat queries as isolated events. Generative engines operate in continuous sessions, meaning visibility relies on satisfying the logical follow-up prompt.
Soren Vex
GEO & Search8 min read
Answer Engines Trust Other Sites Over Yours
As search shifts from retrieving links to synthesizing answers, algorithms increasingly bypass a brand's own website. Visibility now depends on what others say about you.
Soren Vex
GEO & Search8 min read
Why Unlinked Mentions Now Build Trust
Traditional search relied on hyperlinks to pass authority. Today, answer engines look at semantic proximity, building trust even when there is no link at all.
Soren Vex
GEO & Search8 min read
Are Zero-Click Citations Lost Traffic?
When AI generates direct answers, traditional website clicks decline. But an unclicked citation often serves as a powerful, high-intent brand impression.
Soren Vex
GEO & Search8 min read
Structuring Knowledge for Answer Engines
Traditional search optimization focused on ranking entire web pages. The emerging layer of answer engine optimization demands structuring discrete knowledge chunks that an LLM can effortlessly extract and cite.
Soren Vex