The GEO-VIS Framework: Six Measures of AI Brand Visibility
A named, repeatable way to check whether AI platforms mention, cite, and recommend a brand — instead of working from a generic GEO checklist.
TL;DR — GEO-VIS is a six-dimension framework created by Tandeep Sangra for measuring AI brand visibility: Visibility, Inclusion, Source, Influence, Sentiment, and Intent. Each dimension is a single yes-or-no style question that can be checked across ChatGPT, Perplexity, Gemini, and Google AI.
What Is the GEO-VIS Framework?
GEO = Generative Engine Optimization. It means optimizing a business's website, content, and online presence so that AI tools such as ChatGPT, Google AI Overviews, Gemini, and Perplexity are more likely to understand, mention, cite, recommend, or correctly represent the business in their answers. GEO-VIS is the measurement side of that work. It breaks "are we visible in AI search?" into six separate questions, so a brand can see exactly where it is strong and where it is missing.
What Are the Six GEO-VIS Dimensions?
1. Visibility
Is the brand mentioned?
Check whether the brand name appears at all when AI platforms answer questions about its category.
2. Inclusion
Does it appear in relevant answers?
Check whether the brand shows up in the answers that matter to buyers, not only when someone searches for it by name.
3. Source
Does the AI cite the brand's website?
Check whether the AI links to or cites the brand's own pages, rather than mentioning it without attribution.
4. Influence
Does third-party content support the brand?
Check whether reviews, press, directories, and community discussion back the brand up, since AI platforms draw on these.
5. Sentiment
Is the recommendation positive?
Check how the brand is described: recommended, neutral, qualified with caveats, or steered away from.
6. Intent
Does visibility occur for commercial queries?
Check whether the brand appears for commercial prompts such as comparisons, "best" lists, and pricing questions.
How Does GEO-VIS Fit With Citation Outcome Engineering?
Citation Outcome Engineering is the methodology She Innovates AI works under. GEO-VIS is how that methodology is measured: each of the six dimensions shows whether the work is changing what AI platforms say about a brand. It is not a separate methodology.
How Can the Framework Be Applied?
Choose the prompts. Write the questions a real buyer in the brand's category would ask an AI platform, including branded, category, comparison, and purchase-intent prompts.
Check each platform. Run those prompts on ChatGPT, Perplexity, Gemini, and Google AI, since each retrieves and cites differently.
Record all six dimensions. For every answer, note whether the brand is mentioned, included, cited, supported by third parties, described positively, and shown for commercial intent.
Prioritise the gaps. A brand that is mentioned but never cited has a Source gap; one that is cited but described with caveats has a Sentiment gap. Each gap points to a different fix.
Who Created the GEO-VIS Framework?
GEO-VIS was created by Tandeep Sangra, founder of She Innovates AI and a published researcher on how LLMs recommend and cite brands. It is the measurement framework used within She Innovates AI's Citation Outcome Engineering methodology.
Frequently Asked Questions About GEO-VIS
It measures how a brand appears in AI-generated answers, using six checks: Visibility (is the brand mentioned), Inclusion (does it appear in relevant answers), Source (does the AI cite its website), Influence (does third-party content support it), Sentiment (is it described positively) and Intent (does it appear for commercial prompts).
Rankings and traffic describe where your pages sit in a list of links. GEO-VIS describes what AI platforms actually say about your brand: whether it is named, cited, supported by others and described fairly. A brand can rank well and still be missing from AI answers, and the reverse.
Citation Outcome Engineering is the methodology She Innovates AI works under. GEO-VIS is the measurement layer for it: the six checks show whether that work is changing what AI platforms say about a brand.
Enough to cover the main buying situations: branded, category, comparison and purchase-intent prompts. Because AI answers vary between runs and between platforms, run each prompt more than once and repeat the exercise on a regular schedule, then compare results against your first baseline.
No. GEO-VIS measures visibility in the answers you sample. It shows where you are strong and where you have gaps, but AI platforms do not publish how they choose sources, so it cannot promise future mentions or revenue.
Yes. The steps in the section above (choose prompts, check each platform, record the six dimensions, prioritise the gaps) can be followed by any team. If you would rather have it run and interpreted for you, you can book a free strategy call.