Our Hybrid GEO campaign positions your brand to be mentioned, recommended, and referenced across major AI platforms—including ChatGPT, Google Gemini, Claude, Grok, and others. Beyond standard GEO tactics, we enhance visibility with content marketing, blogs, social media posts, press releases, and reputation management, giving your brand credibility, reach, and AI-recognized presence across multiple locations and languages.
These strategies work independently or together to boost visibility across search engines and AI platforms.
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Left side: GEO (G-Series) drives brand mentions and citations in AI.
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Right side: SEO/AI SEO improves search rankings with AI-ready foundations.
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Overlap: AIO (AI Optimization) helps AI understand your brand, while AEO (Answer Engine Optimization) ensures it’s optimized for answer-based discovery across search and AI platforms.


AI outputs vary. GEO reporting reduces randomness so trends become measurable.
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Multi-sampling (4×–16×) to avoid relying on one “lucky” response
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Stable averages + ranges so you can compare visibility over time
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Entity-based analysis that aligns with how AI actually recommends brands
Set GEO reporting to run weekly or monthly—no complex setup needed.
- Watch visibility trends before/after campaigns
- Identify early lifts (or drops) as models update training signals and retrieval behavior
- Build client-friendly reporting that shows progress without guesswork


Whether you’re managing one brand or hundreds, GEO scales cleanly.
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Track visibility by city, region, or country
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Manage multi-location brands and franchise-style setups
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Run multilingual reporting to match real user behavior
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GEO visibility can differ drastically by platform. We track where you’re strong—and where you’re missing.
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Supported environments can include (as available):
ChatGPT, Gemini, Claude, Grok, DeepSeek, Llama, plus emerging AI modes as they evolve.


GEO rolls multiple signals into a single score that answers:
“How visible are we inside AI recommendations?”
- Simple 0–100 style index for fast decision-making
- Breakdowns by engine, location, language, and entity set
- Clear next steps tied to what’s actually changing in AI outputs
Instead of chasing “keyword rankings,” GEO focuses on entity sets that describe what you do.
Examples of entities:
- “Nashville car dealer”
- “app for finding new and used cars”
- “emergency plumbing for condos”
- “best ergonomic office chair for tall people”
You can also turn real prompts your customers use into entity targets, then measure visibility across similar prompts and contexts.

(G-Series 2026)
A modern GEO campaign blends strategy, content, and AI visibility reporting:
- Entity Research: Insight Igniter AI (entity discovery + topic mapping)
- Content Production: SEO GPT 2 (entity-aligned content creation)
- Analysis: CORE AI GEO-focused insights
- AI Brand Visibility Reporting: AIRankLens
- Dashboard: AIRankLens Dashboard
RankLens is built to track multiple ChatGPT models and AI engines (for example: core ChatGPT models, search/assistant modes, and new engines as they’re added). It also measures SearchGPT, Perplexity, Gemini, Anthropic, Grok, DeepSeek, Llama and more.
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You see per-engine visibility (e.g., ChatGPT 4o vs another mode).
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Engine columns only appear if data exists for that engine, so reports stay clean.
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The system is designed to add new engines (and new model iterations) over time without breaking existing reports.
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Position/Order (when recommendations are listed)
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LLM Confidence (how strongly the model favors the recommendation)
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Brand Appearance / Share of Voice (frequency of mentions vs competitors)
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Brand Discovery (likelihood of being recommended)
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Brand Target (precision/stability when users clearly want your brand)
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Brand Match (name/URL matching strength across variants)