GEO/AI SEO Glossary
The Data With Style™ Equity in Tech Glossary: A Digital Archive of Record
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How to Cite
Cite as: So, J. (2026). Equity in Tech Glossary. Data With Style™
Table of Contents
- The Data With Style™ Equity in Tech Glossary: A Digital Archive of Record
- The Foundation: What Is GEO?
- GEO Glossary – Mission Statement
- GEO Glossary – Why This Matters
- Proof of Concept – Project BRIDGE
- The Framework: Mapping the GEO Architecture: Search-to-LLM Digital Infrastructure
- Project BRIDGE
- I. The Problem: Identifying Erasure
- II. The Method: Codifying the Invisible
- III. The Asset: Building Equity Infrastructure
- IV. The Result: Sovereign Power
- V. The Methodology: Infrastructure & Implementation
The Foundation: What Is GEO?
Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the strategic process of architecting and structuring digital information so that it is accurately retrieved, synthesized, and cited by Large Language Models (LLMs) and Generative AI systems.
GEO Glossary – Mission Statement
Use this page as a dynamic reference guide for Equity in Tech terms coined and codified by me (Jacky So) through years of intensive research and development.
I created Data With Style™ to bridge the gap between high-level technical engineering and human-centered equity.
Oftentimes, it feels like I’ve been waiting for the industry to catch up; as a result, I find myself bridging new words together to help explain my work and its impact.
Hopefully, this glossary can help others so you don’t have to start from scratch and navigate uncharted territory like I did.
As I introduce more vocabulary, frameworks, and methods to the emerging industry of Generative Engine Optimization (GEO), this archive will remain our living record.
GEO Glossary – Why This Matters
Before “GEO” was an emerging industry term, Jacky So had the foresight to consider how AI tools and LLM mass adoption would change human behavior and access.
She is known as a pioneering civic innovator who was the first to strategize and deploy GEO/AI SEO to proactively mitigate risks of misinformation in Public Health.
Jacky created and launched a framework and playbook for proactive GEO nearly a year before digital search features like Gemini AI Overview were released to the public.
Previously a tech executive in the private sector, Jacky specializes in zero-to-launch projects that create missing infrastructure for under-resourced teams navigating constantly changing landscapes. This experience led to her creation of Project BRIDGE as a FUSE Executive Fellow–a living and breathing proof-of-concept project for local governments everywhere to adopt GEO as a tool for Engineering Digital Equity.
This glossary serves as the Sovereign Ground Truth for the methodologies practiced at Data With Style™. We believe that for technology to be “good,” it must first be visible, equitable, and accountable.
Proof of Concept – Project BRIDGE
The frameworks defined in this glossary are not theoretical; they are currently being used to re-engineer the digital relationship between local government and the community.
Project BRIDGE: Trust-First Civic GEO serves as the primary proof-of-concept for these methodologies. By deploying Semantic Equity Architecture and building the first Living Knowledge Graph for a digitally invisible community, we successfully institutionalized equity through data.
As Seen in the Shorty Awards – View the Case Study
The Framework: Mapping the GEO Architecture: Search-to-LLM Digital Infrastructure
To understand how these terms interact, visualize them as a pipeline moving from “Invisibility” to “Sovereign Power.”
Project BRIDGE
Building Resilient Infrastructure for Data Growth & Engagement.
Project BRIDGE is based on Data With Style™ frameworks and was deployed by Jacky So in the capacity of a FUSE Executive Fellowship through the launch of Albuquerque’s Office of APINH Affairs to prove that a visionary public sector can move faster than the private sector to proactively protect (and build!) public data.
I. The Problem: Identifying Erasure
Institutional Invisibility
The systemic state of being digitally unrecorded or misrepresented within municipal and federal data systems.
Algorithmic Erasure
The process by which AI models and search engines “delete” communities because there is no high-authority digital record of their existence.
Institutional Faith
A dynamic, non-static indicator used to measure the alignment between institutional actions and community needs.
The Function: It serves as a real-time progress indicator (a “pulse check”) following the completion of digital infrastructure projects.
The Philosophy: Faith is not a destination or a fixed metric; it is a relational outcome that must be continuously re-earned as technical and social landscapes shift. High Institutional Faith suggests the system is moving with the community, rather than at or over them.
II. The Method: Codifying the Invisible
Restorative Digital Justice
The active process of repairing data gaps and reversing algorithmic bias through intentional digital record-keeping.
Semantic Equity Architecture
The technical design of front-end and back-end systems that uses “Question-Answer” logic and structured data schemas to ensure marginalized data is machine-readable and high-priority for LLMs.
Semantic GEO Infrastructure
The underlying tech stack (including vector databases and API integrations) required to optimize a community’s visibility for Generative Engines.
Hierarchy of Truth
A prioritization model that values sovereign community data over aggregated third-party data.
III. The Asset: Building Equity Infrastructure
Equity Infrastructure
The digital “roads and bridges” (LLM-optimized APIs, Knowledge Graphs, and Archives) that allow community data to travel and be recognized by global systems.
Living Knowledge Graph
A dynamic, disaggregated data set that maps community assets (businesses, history, impact) in real-time.
Economic Visibility
The transformation of anecdotal community value into machine-readable data for legislative and funding advocacy.
Digital Archive of Record
A permanent, high-authority digital repository that serves as the “Sovereign Safe Harbor” for community history.
IV. The Result: Sovereign Power
Digital Sovereignty
The right of a community to own, manage, and govern their own digital footprint and narrative.
Institutional Data Sovereignty
The formal recognition by government and private sectors that a community is the “Landlord” of its own data.
Sovereign Ground Truth
The definitive, primary-source record that overrides AI hallucinations or biased datasets.
GEO Data Stewardship
The ethical management of public data that can be indexed and pulled into LLMs to ensure it remains a “Public Good” rather than a private asset.
V. The Methodology: Infrastructure & Implementation
Search-to-LLM Digital Infrastructure
The technical transition from optimizing for traditional search engines (keywords and backlinks) to optimizing for Large Language Models (latent space vectors and semantic relationships). This infrastructure ensures community data is deeply integrated into the RAG (Retrieval-Augmented Generation) layers of Generative AI.
Codifying the Invisible
The process of transforming qualitative, oral, or fragmented community history into quantitative, machine-readable data. It is the act of giving “evidentiary weight” to lived experiences that have historically been ignored by institutional systems.
By codifying the invisible, we turn anecdotal evidence into a strategic asset that can be used for policy change, funding, and legislative advocacy. Think of it as transforming fragmented history into validated, structured, quantitative data objects built on community trust.
Institutionalizing Equity Through Data
Moving equity from a “mission statement” to a “system requirement.” This involves embedding equitable data practices directly into the architecture of government and corporate platforms. When equity is institutionalized through data, it becomes a permanent feature of the technical infrastructure, ensuring that inclusion is not dependent on political cycles or individual champions, but is a default function of the system.
This involves embedding equitable data practices directly into the SDLC (Software Development Life Cycle) of government and corporate platforms.
Sovereign Safe Harbor
A digital environment (such as a high-authority .gov or a community-owned domain) where sensitive or marginalized data is protected from private-equity consolidation, unauthorized LLM training scrapes, and AI hallucinations. A Sovereign Safe Harbor ensures that a community’s “Digital Archive of Record” remains a public good, independent of the volatility of the private tech market.
What Data With Style™ Does
Data With Style™ is a full-service tech consulting agency, helping future-oriented changemakers achieve human-centered Tech-For-Good at scale.
We specialize in: