Generative Engine Optimization
The complete resource for understanding and implementing GEO. Learn how to ensure AI search engines accurately represent, cite, and recommend your brand.
What Is GEO?
Generative Engine Optimization (GEO) is the practice of optimizing a brand's digital presence so that AI-powered search engines like ChatGPT, Perplexity, Google Gemini, and Microsoft Copilot accurately represent and cite the brand in their generated responses.
Unlike traditional SEO, which focuses on ranking web pages, GEO focuses on influencing how AI systems describe your brand when users ask questions. The brands that invest in GEO now will dominate AI search results for years to come.
Pillar Guides
Comprehensive, cornerstone resources that anchor the GEO knowledge base.
GEO Strategy Articles
Tactical guides for implementing GEO across your organization.
Run AI Visibility Scan
See how AI search engines describe your brand.
Get a detailed analysis of your brand's visibility across ChatGPT, Perplexity, Gemini, and more.
Get Your AuditGeosystems AI, explained in plain terms
Geosystems AI is an AI Visibility Intelligence Platform that measures, monitors, and improves how ChatGPT, Gemini, Claude, Perplexity, Copilot, and Grok describe, cite, and recommend a brand.
What is Geosystems AI?
Geosystems AI is an AI Visibility Intelligence Platform that measures, monitors, and improves how ChatGPT, Gemini, Claude, Perplexity, Copilot, and Grok describe, cite, and recommend a brand.
| Attribute | Detail |
|---|---|
| Category | AI Visibility Intelligence Platform (B2B SaaS) |
| AI engines monitored | ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok |
| Framework stack | Five Frameworks. One Defensible Moat. — GVI™, Recommendation Share™, VERA™, VeraGraph™, Registry™ |
| Platform modules | Scan, Benchmark, Optimize, Defend |
| Delivery model | Self-serve monthly subscription with a private workspace |
| Pricing | Starter $59/mo, Growth $119/mo, Scale $199/mo |
| Free entry point | AI Visibility Scan at /free-ai-visibility-check |
Which AI engines does Geosystems AI monitor?
Geosystems AI monitors six generative engines: ChatGPT (OpenAI), Gemini (Google, including AI Overviews), Claude (Anthropic), Perplexity, Copilot (Microsoft), and Grok (xAI). Every tracked prompt runs against all six, so scores are comparable engine by engine.
| Engine | Vendor | Why it matters |
|---|---|---|
| ChatGPT | OpenAI | Highest-volume consumer AI assistant |
| Gemini | Includes Google AI Overviews in search | |
| Claude | Anthropic | Widely used in enterprise workflows |
| Perplexity | Perplexity AI | Answer engine with inline citations |
| Copilot | Microsoft | Embedded in Windows, Edge, and Microsoft 365 |
| Grok | xAI | Real-time answers sourced from X |
How does Geosystems AI work?
Geosystems AI runs your buyer-intent prompts across all six engines, scores every answer with GVI™, and stores the evidence in a private workspace.
- Scan. Establish a GVI™ baseline across Presence, Prominence, Attribution, and Accuracy.
- Benchmark. Measure Recommendation Share™ against named competitors in your category.
- Optimize. Work through ranked fixes to entity signals, citations, and source coverage.
- Defend. Monitor for hallucinations and score drops, and verify each fix on the next prompt run.
How much does Geosystems AI cost?
Geosystems AI is a self-serve monthly subscription with three plans: Starter at $59 per month, Growth at $119 per month, and Scale at $199 per month. Annual billing is discounted, and a free AI Visibility Scan is available without a subscription.
| Plan | Price | Brands | Competitors | Tracked prompts | Seats | Best for |
|---|---|---|---|---|---|---|
| Starter | $59 / month | 1 | 3 | 50 / month | 1 | Founders establishing a first GVI™ baseline |
| Growth | $119 / month | 3 | 10 | 150 / month | 3 | Marketing teams benchmarking against competitors |
| Scale | $199 / month | 10 | Unlimited | 500 / month | 10 | Agencies and multi-brand portfolios |
How is AI visibility different from traditional SEO?
SEO optimises for the ranked links on a search results page. AI visibility optimises for the generated answer itself: whether an AI engine names your brand, cites it correctly, and recommends it. The two are complementary, but they are measured differently.
| Dimension | Traditional SEO | AI visibility (GEO) |
|---|---|---|
| Surface optimised | Ranked list of blue links on a search results page | The generated answer an AI assistant returns to the user |
| Unit of success | Keyword position and click-through rate | Whether the brand is named, cited, and recommended in the answer |
| Primary metric | Rankings, sessions, impressions | GVI™ score and Recommendation Share™ |
| Failure mode | Page ranks on page two and gets no clicks | The engine omits the brand entirely, or states incorrect facts about it |
| Correction loop | Update on-page content and wait for a re-crawl | Correct entity signals and citations, then re-run tracked prompts to verify the change |
Key definitions
The vocabulary used throughout the Geosystems AI platform and reports.
- AI visibility
- AI visibility is how often, how accurately, and how prominently a brand appears inside the answers generated by AI assistants such as ChatGPT, Gemini, Claude, Perplexity, Copilot, and Grok.
- GVI™ (Geosystems Visibility Index)
- GVI™ is the Geosystems AI scoring framework for AI visibility. It scores a brand across four dimensions: Presence (whether AI engines surface the brand), Prominence (where the brand appears in an answer), Attribution (whether the brand is cited by name), and Accuracy (whether the stated facts are correct).
- Recommendation Share™
- Recommendation Share™ measures how often AI engines name a brand versus its competitors when a user asks a buying-intent question in that category. It is the AI-era equivalent of share of voice.
- Tracked prompt
- A tracked prompt is one buyer-intent question that Geosystems AI runs across all six AI engines. Each run returns a GVI™ score, Recommendation Share™, citations, and competitive intelligence for that question. Prompt volume refreshes monthly.
- AI hallucination (brand context)
- A brand hallucination is a confident but incorrect statement an AI engine makes about a company, such as wrong pricing, outdated leadership, invented features, or attributing a competitor's product to the brand.
- VERA™ (Verified Entity Recognition & Accuracy)
- VERA™ is the Geosystems AI hallucination-defence framework. It compares what AI engines say about a brand against the brand's verified facts and flags false or outdated claims — wrong pricing, outdated leadership, invented features — in real time.
- VeraGraph™
- VeraGraph™ maps how AI systems understand and connect a brand: the attributes, sources, and competitors models associate with it. It exposes the gaps and wrong associations that cause a brand to be omitted or misdescribed in answers.
- Registry™
- Registry™ is the Geosystems AI trust layer for verified brand identity in AI systems. It publishes and maintains a canonical, machine-readable record of a brand's facts so AI engines have one authoritative source to retrieve and cite.
- Generative Engine Optimization (GEO)
- Generative Engine Optimization is the practice of structuring entities, facts, and citations so that generative AI engines understand, summarise, and recommend a brand accurately. GEO is to AI assistants what SEO is to search result pages.