Generative
Engine Optimization.

GEO goes deeper than AEO. It's about being the data LLMs trained on, the source they retrieve from, and the brand they recommend by default when someone asks ChatGPT, Claude, or Gemini for help.

(A) / Approach

Be the source LLMs
choose to quote.

→ 01

LLM Training Data Visibility

We engineer your content to appear in the corpora LLMs learn from — Common Crawl, Wikipedia, high-authority syndication, and reference sites.

→ 02

Retrieval Optimization

For RAG-based systems like Perplexity and ChatGPT Search, we structure content for semantic chunking, vector embeddings, and retrieval ranking.

→ 03

Brand Prompt Visibility

We track exactly when and how LLMs mention your brand across thousands of prompts — then engineer the signals to make those mentions more favorable and more frequent.

(B) / Regional Focus

GEO across
four regions.

Canada

Canadian brand visibility in LLMs requires Canadian authority signals — .ca citations, Canadian press, and Wikipedia presence.

CA authority signals
Wikipedia editorial strategy
Canadian press outreach
Bilingual LLM visibility

United States

The most crowded prompt space in the world. We fight for inclusion in 'best of' LLM outputs and competitive comparisons.

Prompt competitive analysis
US press & PR amplification
Wikipedia + Wikidata
Review site optimization

Europe

European LLMs (Mistral, Aleph Alpha) and localized Claude/GPT responses require multi-language authority signals.

Mistral & local LLMs
EU press coverage
Multi-lingual Wikipedia
EU AI Act transparency

Gulf Region

Arabic LLM visibility is a greenfield. We build your brand in Arabic Wikipedia, Arabic press, and region-specific models.

Arabic Wikipedia entries
GCC press syndication
Falcon LLM visibility
Bilingual authority

What you get.

01 →LLM visibility baseline audit

02 →Brand prompt tracking (monthly)

03 →Wikipedia / Wikidata editorial strategy

04 →High-authority syndication plan

05 →Semantic content restructuring

06 →Citation-worthy asset production

07 →Competitive LLM mention analysis

08 →Quarterly GEO performance review

(D) / Questions

Frequently asked.

What's the difference between AEO and GEO?

AEO optimizes for answer engines at query time — AI Overviews, featured snippets, Perplexity results. GEO optimizes for the underlying models themselves — the training data and retrieval systems that make LLMs recommend you when no specific query was asked.

Can you actually influence what ChatGPT says about my brand?

Yes, measurably. We track thousands of branded and competitive prompts monthly, identify the sources LLMs cite, and engineer authority signals in those sources. It's slower than SEO but far more durable.

Is this just PR rebranded?

PR is a lever we use — but GEO is much broader. It includes structured data, schema, Wikipedia strategy, syndication, content engineering for retrieval, and direct measurement of LLM output. PR agencies don't measure LLM visibility; we do.