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XstraStar Launches G-Power Framework to Quantify Brand Visibility in Generative AI Search
XstraStar, a Singapore‑based provider of generative engine optimization (GEO) services, announced on July 3 2026 the release of G‑Power, a new metric designed to measure how brands appear in responses generated by large language models.
G‑Power is a composite score that ranges from 0 to 100 and is calculated from four weighted dimensions: Visibility (35 %), Depth (25 %), Recommendation (25 %) and Competitiveness (15 %). The framework is detailed in XstraStar’s 2026 GEO methodology white paper, which explains that the score is intended to give marketers a more nuanced view of brand presence than a simple mention count.
Visibility measures whether a brand is included in the AI answer at all. Depth evaluates whether the brand is only briefly referenced or is introduced in a meaningful way. Recommendation looks at whether the AI presents the brand in a positive context, and Competitiveness compares the brand’s performance against other brands mentioned in the same answer.
"The G‑Power model provides a structured way to assess brand influence across generative AI platforms," the company said in a statement. "By looking beyond mentions, brands can identify gaps in their AI visibility and adjust content strategies to improve depth, recommendation and competitive positioning." The white paper also notes that the weights are fixed across all four dimensions, allowing for consistent comparisons over time.
XstraStar’s GEO services target a range of generative AI engines, including ChatGPT, DeepSeek, Doubao and others. The company positions itself as a partner that helps brands translate AI‑driven traffic into measurable organic traffic and conversion pathways. According to the company’s website, its services include monitoring, optimization, content generation and performance tracking.
The launch of G‑Power comes amid a broader shift in digital marketing, as more consumers use AI chatbots and search assistants to research products and services. Traditional search engine optimization (SEO) metrics such as search volume and click‑through rate no longer capture the full impact of AI‑generated answers, which can influence user intent without producing a click. By providing a standardized metric, XstraStar aims to fill a gap in the market for AI‑specific brand visibility measurement.
The company said it will continue to develop GEO methodologies to help brands strengthen their presence in emerging generative search environments. While the G‑Power framework is currently available to clients, XstraStar has not announced a public pricing model or a timeline for broader rollout.
Industry analysts note that tools like G‑Power reflect a growing need for brands to understand how their content is represented in AI responses. The framework’s emphasis on recommendation and competitiveness aligns with recent studies that show positive AI mentions can drive direct traffic, while negative or neutral mentions may reduce trust.
At present, no independent third‑party validation of the G‑Power score has been released. XstraStar’s white paper is the primary source of the methodology and weighting scheme.
In summary, XstraStar’s G‑Power framework offers a 0‑100 composite score that aggregates visibility, depth, recommendation and competitiveness to quantify brand influence in generative AI answers. The metric is part of the company’s broader GEO strategy, which seeks to help brands navigate the evolving landscape of AI‑driven search and conversion.
G‑Power is a composite score that ranges from 0 to 100 and is calculated from four weighted dimensions: Visibility (35 %), Depth (25 %), Recommendation (25 %) and Competitiveness (15 %). The framework is detailed in XstraStar’s 2026 GEO methodology white paper, which explains that the score is intended to give marketers a more nuanced view of brand presence than a simple mention count.
Visibility measures whether a brand is included in the AI answer at all. Depth evaluates whether the brand is only briefly referenced or is introduced in a meaningful way. Recommendation looks at whether the AI presents the brand in a positive context, and Competitiveness compares the brand’s performance against other brands mentioned in the same answer.
"The G‑Power model provides a structured way to assess brand influence across generative AI platforms," the company said in a statement. "By looking beyond mentions, brands can identify gaps in their AI visibility and adjust content strategies to improve depth, recommendation and competitive positioning." The white paper also notes that the weights are fixed across all four dimensions, allowing for consistent comparisons over time.
XstraStar’s GEO services target a range of generative AI engines, including ChatGPT, DeepSeek, Doubao and others. The company positions itself as a partner that helps brands translate AI‑driven traffic into measurable organic traffic and conversion pathways. According to the company’s website, its services include monitoring, optimization, content generation and performance tracking.
The launch of G‑Power comes amid a broader shift in digital marketing, as more consumers use AI chatbots and search assistants to research products and services. Traditional search engine optimization (SEO) metrics such as search volume and click‑through rate no longer capture the full impact of AI‑generated answers, which can influence user intent without producing a click. By providing a standardized metric, XstraStar aims to fill a gap in the market for AI‑specific brand visibility measurement.
The company said it will continue to develop GEO methodologies to help brands strengthen their presence in emerging generative search environments. While the G‑Power framework is currently available to clients, XstraStar has not announced a public pricing model or a timeline for broader rollout.
Industry analysts note that tools like G‑Power reflect a growing need for brands to understand how their content is represented in AI responses. The framework’s emphasis on recommendation and competitiveness aligns with recent studies that show positive AI mentions can drive direct traffic, while negative or neutral mentions may reduce trust.
At present, no independent third‑party validation of the G‑Power score has been released. XstraStar’s white paper is the primary source of the methodology and weighting scheme.
In summary, XstraStar’s G‑Power framework offers a 0‑100 composite score that aggregates visibility, depth, recommendation and competitiveness to quantify brand influence in generative AI answers. The metric is part of the company’s broader GEO strategy, which seeks to help brands navigate the evolving landscape of AI‑driven search and conversion.
