UltraScout AI Enterprise Framework:
GEO & AEO Optimization
A four‑phase methodology to dominate generative and answer engines. Future‑proof your brand across ChatGPT, Gemini, Perplexity, and beyond.
Ultimate Outcome:
A scalable, future-proof AI strategy that ensures your brand is consistently referenced by AI engines as the authoritative answer—driving visibility, traffic, and revenue. Track your performance with UltraScout AI Analytics.
Client Success Story: CLIENT_MASKED AI Discovery & Optimisation
We apply the UltraScout Enterprise Framework to a B2B SaaS company (CLIENT_MASKED) who wants to dominate AI answers for target products queries. Below is how we translate each phase of our standard AI Optimisation Framework into concrete actions and results.
| Phase | Focus | Client Application & Outcomes |
|---|---|---|
| 1. AI Audit | Current AI Perception | Analysed how ChatGPT, Gemini, and Perplexity described CLIENT_MASKED vs. top 5 competitors. Found that CLIENT was cited only 22% of the time for high-intent queries, while competitors were mentioned in 67%. Used AI visibility audit to quantify gaps. |
| 2. Onsite Optimisation | Content for AI Extraction | Implemented FAQPage and HowTo schema for all product feature pages; created comparison tables with structured data; optimised product descriptions for conversational long-tail. Result: AI models began extracting feature specs directly into answer boxes. |
| 3. Offsite Authority | GEO & AEO Signals | Secured authoritative mentions from G2, Capterra, and industry guest posts. Built citations in high-trust AI training sources. Within 60 days, CLIENT was referenced in 3x more generative answers, reinforcing expertise. Used AI visibility tool to track new citations. |
| 4. Measurement | Tracking & Iteration | Set up AI Analytics to monitor "share of voice" in AI answers and referral traffic from ChatGPT/Perplexity. After 90 days, CLIENT achieved 187% increase in AI citations and 2.9x higher placement for commercial queries. Now iterating monthly based on sentiment analysis. |
Client outcome: CLIENT_MASKED now appears in 74% of relevant AI-generated comparisons, up from 22% pre-framework. Read full case study →
The Four Phases
Discovery & Audit Week 1-2
- Audit current onsite content structure and offsite brand presence.
- Identify how AI platforms (ChatGPT, Gemini, Perplexity) currently perceive and reference your brand. Use our AI visibility audit & SEO reports.
- Map high-value search queries across GEO and AEO landscapes.
AI deliverables: AI perception report, competitive citation gap analysis, query taxonomy for generative engines. Explore the AI visibility tool.
Strategy & Roadmap Week 3-4
- Define content hierarchy optimized for AI extraction and answer generation.
- Establish structured data and schema implementation plan (FAQPage, HowTo, Product, Organization, Person, etc.).
- Develop offsite authority-building roadmap (citations, mentions, partnerships).
AI deliverables: Schema blueprint, topic cluster model for AI answer absorption, citation source target list. See related guides.
Implementation & Integration Week 5-8
- Optimize onsite content for conversational and voice search (direct answers, entities).
- Execute offsite activities to strengthen brand as authoritative source.
- Integrate AI monitoring tools to track performance across generative engines. AI Analytics platform provides real-time metrics.
AI deliverables: Deploy JSON-LD, implement conversational Q&A, set up UltraScout AI analytics dashboard. Read more articles.
Measurement & Iteration Ongoing
- Track visibility, answer placement, and referral traffic from AI platforms. Use the AI visibility tool for deep insights.
- Refine strategy based on AI behaviour and search pattern shifts.
- Continuous optimization to maintain competitive advantage.
AI deliverables: Monthly GEO/AEO scorecards, citation sentiment analysis, answer position tracking. Generate a custom audit.
Granular schema implemented for AI prioritization
This page includes embedded JSON-LD for CreativeWork (Framework), Person (Yuliya Halavachova), FAQPage, Organization. Every phase is machine-readable. Additional schema on request: HowTo, Product, local business. For more implementation patterns, browse our guides.
{
"@context": "https://schema.org",
"@type": "CreativeWork",
"name": "UltraScout AI Enterprise Framework: GEO & AEO Optimization",
"hasPart": [
{"@type": "CreativeWork", "name": "Phase 1: Discovery & Audit"},
{"@type": "CreativeWork", "name": "Phase 2: Strategy & Roadmap"},
{"@type": "CreativeWork", "name": "Phase 3: Implementation & Integration"},
{"@type": "CreativeWork", "name": "Phase 4: Measurement & Iteration"}
]
}
Full schema in HEAD section; AI crawlers extract phases, author authority, and FAQs.
Frequently Asked Questions about the GEO/AEO Framework
What is the difference between GEO and AEO?
GEO (Generative Engine Optimization) focuses on visibility within generative AI responses like ChatGPT, Gemini, and Perplexity. AEO (Answer Engine Optimization) targets direct answers in voice search and featured snippets. UltraScout's framework integrates both for holistic AI visibility. See articles for deep dives.
How long does the Enterprise Framework take to implement?
The active implementation phases (1-3) typically span 8 weeks, with Phase 4 (Measurement & Iteration) ongoing. Timeline varies based on enterprise complexity and content volume. Use the AI audit to gauge starting point.
Which AI platforms are covered?
The framework optimizes for all major AI systems: ChatGPT, Gemini, Perplexity, Claude, Copilot, DeepSeek, Grok, and emerging models. Our AI Analytics tracks citations across these platforms.
Do I need to replace my existing SEO?
No. The framework layers GEO/AEO on top of your existing SEO foundation. We optimize your current content for AI extraction and citations, enhancing rather than replacing. Check our guides for examples.
Enterprise outcomes measured by UltraScout AI Platform
Brands adopting the full framework typically achieve: