00 · The methodologyUpdated Jun 17, 2026

Generative Engine Optimization for AI Visibility

Prime Sentia GEO is a Generative Engine Optimization platform for B2B marketing, SEO, brand, and content teams. It audits how AI answer engines describe your brand, prioritizes the fixes that move citation readiness, and plans 30/60/90-day execution. Start with a free audit.

16
Empirical grounding
pre-registered signals, derived from a 2,000-site observational study registered on OSF before data collection (DOI 10.17605/OSF.IO/XCG7J).
39
Audit breadth
GEO citation signals across four GEF dimensions — Accessibility, Extractability, Authority, Citability — plus 22 Agent-Readiness checks.
7
Evidence base
public-source entries from Adobe, Bain, Princeton, OpenAI, and Google.
17
Architecture
agents across four audit phases, with every output carrying provenance back to the signal and page that produced it.

Brief

What this hub is

A structured operating model for how brands are retrieved, cited, and represented inside AI.

Methodology layer

Prime Sentia GEO is the methodology and proof layer behind the AI Visibility offer.

Agents
17
Audit phases
4
Artifacts
6
Program
1

Every output carries provenance back to the signal and page that produced it. Not a commercial landing page: the deeper layer.

Audit engine

39 GEO citation signals — scored across the four GEF dimensions (Accessibility, Extractability, Authority, Citability) — plus 22 Agent-Readiness checks across six categories. Of those, 16 are pre-registered and empirically grounded in an observational study of 2,000 websites; the rest are validators from production experience. No probabilistic scoring, no black-box optimization — each maps to a concrete fix.

Research basis

Pre-registered

The 16 GEO signals are derived from an observational study (DOI 10.17605/OSF.IO/XCG7J) across 2,000 websites. Study design, variable definitions, and the analytical plan were registered on the Open Science Framework before any data was collected — so every signal carries documented empirical provenance, not a marketing claim.

Evidence layer

Market signals from Adobe and Bain, research from Princeton and KDD 2024, and platform documentation from OpenAI and Google support the framework. The full dossier is in the Evidence section. Where proprietary client results are not published, the site says so plainly — no invented case-study language.

The workflow

Protocol · flow mapsee full protocol →
  1. Diagnose
  2. Construct
  3. Decide
  4. Ship
  1. 01

    Discover

    Extract brand entities, narrative, products, audiences, and proof signals.

  2. 02

    Audit

    Measure AI visibility and evaluate citation-readiness across priority pages.

  3. 03

    Structure

    Standardize brand context so recommendations and roadmap planning stay consistent.

  4. 04

    Recommend

    Rank actions by visibility impact, complexity, and business relevance.

  5. 05

    Prioritize

    Convert findings into a 30/60/90 roadmap with dependencies.

  6. 06

    Implement

    Hand teams executable guidance for content, SEO, brand, and web work.

The atlas

06 sections · explore
Atlas

Capabilities

See the capability map behind the Prime Sentia GEO system, from brand discovery and AI visibility auditing to recommendations and execution planning.

Ledger

Outputs

Review the concrete deliverables produced by each engagement: AI visibility audit, citation-readiness assessment, prioritized recommendations, roadmap, and on-demand task guidance.

Field guide

Solutions

Explore how GEO supports AI search optimization by industry, category complexity, and team structure.

Dossier

Evidence

Review market evidence and external proof showing why AI visibility and answer-engine discoverability matter now.

Reference

FAQ

Read the core category questions: AI visibility, GEO, AEO, AI Overviews, ChatGPT citations, and how GEO differs from SEO.

Journal

Insights

Read editorial research focused on GEO, answer engines, AI discoverability, and AI citation strategy.

Core outputs

  1. AI Visibility AuditDiagnostics
  2. Citation-Readiness AssessmentDiagnostics
  3. Prioritized RecommendationsStrategy
  4. 30 / 60 / 90 Execution RoadmapExecution
  5. On-Demand Task-Level Implementation GuidanceExecution
Read the ledger →

The evidence

Evidence, not invented case-study language.

Underlying researchDOI 10.17605/OSF.IO/XCG7JLuis Oleart

This hub uses an evidence layer built from market signals, published research, and platform documentation. Where proprietary client results are not being published, the site says so plainly instead of pretending market proof is a case study.

Market signalAdobe · 2025
693.4%

Adobe reported AI-driven retail traffic growth year over year, reinforcing AI discovery as a real acquisition channel.

Research signalPrinceton · KDD 2024
Up to 40%

Princeton GEO research showed measurable visibility lift when content is structured for generative engine retrieval.

Behavior signalBain · 2025
80%

Bain reported heavy reliance on AI-written summaries, confirming that answer layers influence consideration before the click.

Review the full evidence layer →

Reference

10 questions

The shortest path to the answers most teams need before they engage.

Open the full reference →

What is Prime Sentia GEO?

Prime Sentia GEO is a structured operating model for improving how brands are retrieved, cited, and represented inside AI-generated answers. It combines brand discovery, AI visibility auditing, standardized brand context, recommendations, prioritization, and implementation planning.

How is GEO different from SEO?

SEO focuses on ranking in traditional search results. Prime Sentia GEO focuses on how a brand is understood and cited inside AI-generated answers, including AI Overviews, ChatGPT, Perplexity, and Bing Copilot.

What does Prime Sentia GEO produce?

Prime Sentia GEO produces an AI visibility audit, a citation-readiness assessment, prioritized recommendations, and a 30/60/90 roadmap for content, SEO, brand, and web execution. Teams can resolve selected dashboard tasks on demand when they need implementation detail.

Who is Prime Sentia GEO designed for?

Prime Sentia GEO is designed for marketing directors and growth teams at mid-size and enterprise brands that need a clearer system for AI visibility, citation readiness, and answer-engine discoverability.

What is the first step in the Prime Sentia GEO workflow?

The first step is Discover, where Prime Sentia extracts brand entities, narrative, products, audiences, and proof signals before moving into visibility analysis and structured remediation.

How does Prime Sentia support onboarding?

Prime Sentia turns audit findings into implementation-ready outputs so internal teams can move from analysis to action with clear priorities, dependencies, and execution guidance.

What GEO signals does the audit measure?

The Prime Sentia AI Visibility Audit evaluates 39 GEO citation signals across four GEF dimensions — Accessibility, Extractability, Authority, and Citability. Of these, 16 are pre-registered in an observational study of 2,000 websites (DOI 10.17605/OSF.IO/XCG7J); the remaining 23 are validators added from production experience.

What are A2A agents and how do they work in GEO?

A2A (Agent-to-Agent) agents are autonomous workers that run structured tasks — brand discovery, page capture, visibility auditing, recommendation generation, and roadmap planning — coordinated by a geo-strategist orchestrator. Each agent emits traceable events, so every recommendation carries provenance back to the signal that triggered it.

What does a typical engagement look like?

A standard engagement runs four phases: Discover (brand extraction and crawl), Audit (visibility measurement and citation-readiness scoring), Decide (prioritized recommendations), and Ship (30/60/90 roadmap with task-level guidance). Most teams complete the full cycle in two to three weeks.

How long until we see results from GEO?

GEO is a structural discipline, not a traffic switch. Early signals — improved entity representation and structured data — take effect within days of implementation. Visibility lift in AI-generated answers typically materializes over four to eight weeks as answer engines re-index and re-rank. The 30/60/90 roadmap is designed to match this cadence.

Field notes

view all →
Industry Perspective

The 'No AI' Rule Tests the Wrong Thing

Spell-checkers pass. AI-written code is celebrated. AI-written articles get rejected. The line was never about AI — and the coherent standard is the one engineers already use, and the one answer engines already apply.

7 minRead post

See how AI answer engines describe your brand.

Enter your domain and email and we'll open the auditor with your brand pre-filled. Under two minutes, 39 GEO signals, no credit card, no demo call.

Start free audit ↗see how it works →