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Published October 8, 2026 — 6 min read

GEO-VIS: The Six-Dimension Framework That Finally Makes AI Search Visibility Measurable

She Innovates AI's new GEO-VIS framework breaks AI search visibility into six checkable dimensions, giving brands a way to measure whether AI platforms mention, cite, and recommend them, and which gap to fix first.

GEO-VIS: The Six-Dimension Framework That Finally Makes AI Search Visibility Measurable
Gianni Petruzzi
Gianni Petruzzi
Gianni Petruzzi / Vivid Visuals | Founder

Why AI Search Visibility Needs a Measurement FrameworkBrands know they need to appear in AI-generated answers. What they lack is a reliable way to measure whether they do. Traditional search rankings and website traffic show where a page sits in a list of links, but they cannot tell you whether ChatGPT names your brand, whether Perplexity cites your website, or whether Google AI Overviews describes you fairly.On October 8, 2026, She Innovates AI, an AI visibility consultancy founded by Tandeep Sangra, published the GEO-VIS Framework to address exactly this gap. The framework breaks the broad question, "are we visible in AI search?" into six specific dimensions that can be repeated for any brand on any platform.The timing matters. GEO (Generative Engine Optimization) is no longer experimental. OptimizeGEO raised $80 million in funding in October 2026. DesignRush, Prompt Insider, and PCTechMag all published AEO agency rankings this month. The market for AI visibility services is expanding fast, but the measurement layer has been missing. GEO-VIS fills that gap.## The Six GEO-VIS DimensionsThe framework defines six checkable dimensions. Each one targets a different kind of visibility, and each gap calls for a different fix.| Dimension | Question | Gap Type ||-----------|----------|----------|| Visibility | Is the brand mentioned? | Brand recognition gap || Inclusion | Does it appear in relevant answers? | Category relevance gap || Source | Does the AI cite the brand's website? | Citation gap || Influence | Does third-party content support the brand? | Authority gap || Sentiment | Is the recommendation positive? | Reputation gap || Intent | Does visibility occur for commercial queries? | Conversion gap |A brand that is mentioned but never cited has a Source gap. A brand that is cited but described with caveats has a Sentiment gap. A brand that appears in informational queries but not in purchase-intent questions has an Intent gap. Because each gap requires a different response, the framework helps teams prioritize instead of treating AI visibility as a single score.Abstract 3D forms representing visibility gaps in AI search: translucent glass panels at different angles showing varied light transmission## How to Apply GEO-VIS in Four StepsSangra designed the framework to be practical. Applying it takes four steps:### 1. Write Real Buyer QuestionsA team writes the questions a real buyer in the brand's category would ask an AI platform. These should include branded questions (naming the company), category questions (asking about the type of service), comparison questions (versus competitors), and purchase-intent questions (ready to buy).### 2. Run on Each Major PlatformThose questions are run on each major AI platform: ChatGPT, Gemini, Perplexity, and Google AI Overviews. Each platform retrieves and cites sources differently, so visibility on one does not guarantee visibility on another.### 3. Record Against the Six DimensionsEvery answer is recorded against the six dimensions. Was the brand mentioned? Did it appear in the relevant answer? Did the AI cite the brand's website? Did third-party content support it? Was the recommendation positive? Did visibility occur for commercial queries?### 4. Rank the GapsThe gaps are ranked so the most important fixes come first. A Source gap might mean investing in structured citations and schema. A Sentiment gap might mean addressing negative reviews that AI platforms reference. An Intent gap might mean creating content that answers purchase-decision questions.## Citation Outcome Engineering: The Methodology Behind the FrameworkGEO-VIS is not a standalone tool. It is the measurement layer for Citation Outcome Engineering, the broader methodology Sangra developed through hands-on work with client brands. The framework is how that methodology is measured: each of the six dimensions shows whether the work is changing what AI platforms say about a brand.Sangra's research supports the framework with two published papers on SSRN. The first, "Visibility, Credibility & Self-Promotion Bias in LLM-Generated Recommendations," examines which signals determine whether a brand is included in or excluded from AI-generated answers. The second, "AI Citations Are Not Permanent: Citation Volatility, Half-Life, and What Actually Predicts Citation Persistence Across AI Platforms," tracks 3.5 million citation events across ChatGPT, Perplexity, Google AI Overviews, Copilot, and Gemini.Abstract 3D form representing citation tracking: luminous spheres connected by thin lines forming a network constellationThe citation volatility research is particularly important. It means that even when a brand earns AI citations, those citations can disappear. Measurement is not a one-time exercise. It must be repeated regularly to catch drift.## What This Means for Small and Mid-Sized BusinessesThe GEO-VIS Framework was published in full, with guidance on how to apply it, at sheinnovatesai.com. That openness matters for SMBs that cannot afford enterprise-grade AI visibility platforms. The framework can be applied manually with nothing more than a spreadsheet and access to the major AI platforms.For Montreal businesses, the framework offers a structured way to answer a question we hear constantly: "Are we showing up in AI search?" Instead of guessing, you can run the six checks, identify which gap is costing you the most visibility, and take a targeted action.She Innovates AI is also developing an AI Visibility Intelligence platform designed to automate citation monitoring, brand mentions, share of voice, and source tracking. That platform is still in development. But the framework itself is available now.## How GEO-VIS Fits the Maturing GEO MarketThe GEO service market has been expanding rapidly throughout 2026. OptimizeGEO's $80 million funding round, announced October 1, signaled venture capital confidence in the category. DesignRush published its top 10 LLM visibility tools list on October 5. Praxis360 launched GEO services for healthcare practices on October 6. Nicely Network was named Best AI Visibility & GEO Agency for 2026 on October 8.What all of these developments share is a focus on delivering AI visibility as a service. GEO-VIS adds the missing measurement layer. Without it, brands and agencies are optimizing blind, unable to prove whether their work is changing what AI platforms actually say.## Read Next- Cisco WebexOne Dialog: Agentic AI Turns Customer Interactions Into Continuous Relationships- Backbase Conversational Banking: Agentic AI Goes Live at 10+ Banks With Governance Built In- Hack The Box AI Range Enterprise: Can Your AI Agents Actually Do the Job?- GEO Becomes a Venture-Backed Market: Inside OptimizeGEO's $80M Round---Want to know where your brand stands in AI search? Get in touch and we will run the six GEO-VIS checks for your business.

Conclusion

The GEO-VIS Framework arrives at a moment when brands know they need AI visibility but lack the measurement tools to act on it. By breaking the question into six checkable dimensions, Tandeep Sangra has given marketing teams something concrete: a repeatable process that produces specific gaps, each pointing to a specific fix. For Montreal businesses and SMBs everywhere, the message is clear. Start with the six questions, run them on each platform, and let the gaps tell you what to do next. The brands that measure AI visibility systematically will be the ones that improve it.

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