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GrowthTop releases the 2027 SME GEO White Paper: adding industry source research, helping SMEs be recommended first by AI
GrowthTop officially releases the 2027 SME GEO White Paper. Building on the 2026 edition, it adds a dedicated chapter on industry source research - six AI platforms' source preferences, a three-layer source matrix, short-video GEO, an overseas BER framework and a wrong-description correction SOP. This is the release note, with core conclusions and online reading / PDF download links.
Read more2027 SME GEO White Paper: industry source research - how six AI platforms prefer sources and the evidence strategy
The white paper adds a dedicated Industry Source Research chapter. This article distils the core findings: AI platforms differ sharply in source preferences; Appendix B uses 10-industry x 6-platform measured data to answer 'where should content be placed', and provides a standard order to reverse-engineer source strategy from target platforms.
Read moreShort videos are becoming AI citation objects: how four types of content get extracted by AI
Chapter 4 Short-video GEO added to the white paper. When Douyin becomes Doubao single largest source (about 28%), video is no longer just content but AI answer material. This article gives four optimisation points for video to be extracted by AI and the one-script-many-formats method.
Read moreThe three laws of sources and the multi-source corroboration effect: who AI really trusts
The white paper uses the 'three laws of sources' to answer the core GEO question - what evidence AI accepts. This article breaks down entity anchor, cross-verification and real experience, and the three-pool source model behind 'about 85% of brand mentions come from third parties'.
Read moreWhen AI gets it wrong: the five-step SOP to correct wrong brand descriptions (earlier is cheaper)
The white paper adds a 'wrong-description correction SOP'. A wrong statement repeatedly cited by AI hardens like cement, and correction cost rises exponentially with time. This article gives the five-step correction method, three typical errors and the bottom line: do not delete, do not fight, do not report.
Read moreOverseas GEO special: the BER framework and global regulation comparison
Chapter 12 Overseas GEO special in the white paper. Cross-border brands face high-share overseas UGC / review sources, multi-language localisation and global AI regulatory differences. This article gives the BER framework (Become-Establish-Reinforce) and a regulatory comparison across major markets.
Read moreExclusive methodology interpretation | GrowthTop GEO Full-Spectrum Growth Methodology: a six-step closed loop that lets brands be stably recommended by AI
An exclusive interpretation of the GrowthTop GEO full-spectrum growth methodology: a six-step closed loop - compliance as anchor, official website as foundation, sources as path, capture as gateway, data as driver, full-spectrum growth - upgrading GEO from fragmented tactics into an acceptable and iterable growth system, with the deliverables and acceptance criteria of each step.
Read moreHow SMEs can run GEO marketing: four stages that work even on a tight budget
No big-brand voice or budget - how should SMEs start with GEO? This article gives a four-stage roadmap: days 0-30 diagnosis and foundation, days 30-60 content feeding, days 60-90 source building, and post-90 monitoring and iteration, with budget allocation advice and four typical pitfalls.
Read moreWhat the white paper means: turning invisible AI into a visible growth path
What does the 2027 SME GEO White Paper mean to SMEs? This article unpacks its value across four dimensions: turning the uncertain into the measurable, providing a low-cost starting path, building a common language inside and outside the company, and providing a basis for budget approval, with three correct ways to use it.
Read moreWhite paper explained (Part 1): AI is now the first information gateway for SMEs
This series interprets the 2027 SME GEO White Paper. Part 1 focuses on status and diagnosis: how the user decision path migrates from search to Q&A, the three preferences AI uses to choose sources, and the ten structural gaps SMEs can self-check.
Read moreWhite paper explained (Part 2): the 90-day roadmap, organisational alignment and acceptance criteria
This series interprets the 2027 SME GEO White Paper. Part 2 focuses on the most hands-on part: the 90-day four-stage implementation path, its deliverables and division of labour, four typical failure modes, and how to set an acceptable metric system and review monthly.
Read moreThe 2026 GEO landscape: from concept to practice, how enterprises win AI search entry points
Generative Engine Optimization (GEO) is evolving from an experimental concept to an infrastructure for enterprise digital marketing. This article provides an in-depth analysis of GEO technical principles, industry status and implementation path, and answers "Why GEO is a must in 2026".
Read moreManufacturing GEO in practice: getting technical parameters understood and cited accurately by AI
Manufacturing products have complex technical parameters and a lot of unstructured content. How can AI accurately identify and reference them? Taking a manufacturing customer as an example, this paper disassembles the practical methods and reusable steps of knowledge graph construction and structured corpus construction.
Read moreThe enterprise agent factory: the next layer of enterprise AI infrastructure
When big models become general-purpose capabilities, the focus of competition shifts to how AI capabilities can be efficiently translated into business value. "Enterprise Intelligent Workshop" is becoming the core infrastructure of digital intelligence, so that every business scenario can quickly have its own AI staff.
Read moreA monthly GEO monthly report, explaining the new changes in AI search
Engine algorithm update, platform inclusion change, industry case review - no advertising, only dry goods.