Pluszero: Flood of Low-Quality AI Content Could Hurt GEO Performance
TECHWORLD ·
✦ AI Summary
Pluszero said that in a generative AI search environment, securing user-intent information and differentiated data is more important than mass content production.
It said that mass-producing low-quality content could negatively affect source credibility and citation frequency, and that applying SEO methods directly could backfire.
Pluszero said GEO strategy needs to be redesigned and that content and distribution channels should be designed based on real user questions and analysis of review and question data.
It has been argued that the standard for strategies responding to generative AI search is changing. Pluszero said that in a generative AI search environment, securing user-intent information and differentiated data is more important than mass content production.
Pluszero said that mass-producing low-quality content for the purpose of increasing visibility in generative AI search could negatively affect source credibility and citation frequency. It also argued that applying SEO's mass-content production methods directly to generative AI search could backfire.
For that reason, Pluszero argued that GEO strategy needs to be redesigned. It also coined the term "AI Shadowban" for the phenomenon in which repeated exposure to low-quality AI content causes specific sources to be excluded from AI answer citations or see their visibility fall.
From a GEO perspective, quality is less important than Information Gain. When AI chooses sources, it views new information and original data in a document as more important factors than whether the content merely repeats existing material. Pluszero CEO Jeong Seong-jin also said that in AI search, it is important to provide the information users actually want and data that did not previously exist, rather than repeating what is already known.
The starting point for such a GEO strategy is real user questions. In practice, review and question data are analyzed. The purpose of this analysis is to identify frequently appearing needs.
Content is then designed according to a standard centered on areas where the company's brand is absent from AI answers. In other words, content is built by identifying gaps in answer coverage through analysis of real user questions and review and question data, then filling those gaps.
Such information should not be kept only on the company's own site; content distribution channels also need to be considered. Target channels include the company's official website, the press, specialist blogs, YouTube, and online communities, and securing credibility is a prerequisite on these channels. Information must also be structured and placed according to purpose, and the goal of operating these channels is to expand the touchpoints AI can reference.
Pluszero also operates GEO solutions that analyze user questions and help with content production and distribution. Pluszero runs Gewriter and Voice Intelligence, and both solutions provide functions for analyzing user questions and supporting content creation and distribution.
CEO Jeong said that marketing in the generative AI era should focus not on simple writing automation but on searching for and providing the information users actually want. He also explained that to do this, AI needs a reliable data structure and a differentiated distribution strategy.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408201
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Source: TECHWORLD
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