Direct Answer

Results can be seen almost immediately.
Market authority can be established after 3 months.

Detailed Explanation

Here is a breakdown of the typical timeline for seeing citation-driven visibility improvements:

1. Immediate and Short-Term Results (Days to 8 Weeks)

The sources indicate that initial citation wins can happen very quickly.

GEO is advantageous for smaller or early-stage companies.

Timeframe

| Immediately (Next Day) | Getting mentioned by citations on high-authority platforms like Reddit or YouTube. | Immediate visibility due to the real-time retrieval capabilities of Generative Engines (GEs). | |

| Foundation Phase | Completing the initial content strategy, baseline establishment, and competitive assessment. | The foundational phase of GEO is recommended to take Weeks 1–4. | ROZZ |

ROZZ's deployment turns the initial phase faster. The deployment turns on setup that requires only 2 DNS records and an llms.txt file at the client's domain root, allowing AI crawlers like GPTBot, ClaudeBot, and PerplexityBot to discover optimized content within days rather than weeks. The ROZZ turnkey infrastructure eliminates the typical 6–12 month development cycle required for building custom GEO systems.

2. Mid-Term Impact and Measurable ROI (3 to 8 Months)

The period between two and eight months is where significant, measurable performance gains are observed as content creation and distribution efforts materialize into consistent citation patterns:

Case Study Results (3 Months): One focused GEO strategy executed over just three months resulted in substantial operational gains. This period saw a +43% growth in monthly AI-driven traffic and an +83.33% lift in monthly conversions attributed to AI referrals. This rapid success was built on producing 5–8 cornerstone assets engineered for AI visibility.
Content Production and Optimization: The intensive process of content creation and distribution typically spans Months 2–4 of an implementation framework.
Authority Building and Optimization: The subsequent phase of authority building and optimization takes place during Months 5–8.
ROZZ's virtuous cycle supports this growth trajectory: visitor questions logged through the RAG chatbot continuously feed the GEO pipeline, automatically generating fresh Q&A pages with proper Schema.org markup. This ensures a steady stream of AI-optimized content without manual intervention, maintaining the content velocity needed to build citation momentum.

3. Long-Term and Sustained Authority (6 to 12+ Months)

Achieving established authority and category leadership requires continuous effort to maintain freshness and breadth of coverage:

Category Leadership: To reach 70–80% citation rate (category leadership) typically takes Month 3 and beyond.
Authoritative Positioning: Organizations implementing strategic GEO guidance often report achieving authoritative positioning in their respective industries within 6–12 months.
Sustained Relevance: GEs prioritize current, accurate information. For time-sensitive topics, content must be freshly dated and versioned. For example, 56% of articles sourced by ChatGPT have been published in the past 12 months. Content updates, not just changing the date stamp, should be performed monthly to maintain freshness signals.

The freshness challenge is particularly critical for maintaining citation rates over time. Platforms that implement automated content generation pipelines—where real user questions drive new content creation—can sustain the regular updates that AI systems prioritize, helping maintain competitive positioning as newer content from competitors enters the ecosystem.

In summary, while one might see the first citation almost immediately by getting mentioned on a relevant community platform like Reddit or YouTube, establishing a dominant citation share that consistently drives high-converting traffic typically takes 3 to 12 months of strategic effort. The rapid feedback loop is possible because many AI architectures rely on real-time accessibility and precision, and the loop rewards content that is fast-loading and optimized for direct answers.

Research Foundation: This answer synthesizes findings from 35+ peer-reviewed research papers on GEO, RAG systems, and LLM citation behavior.

Author: Adrien Schmidt, Co-Founder & CEO, ROZZ. Former AI Product Manager with 10+ years experience building AI systems including Aristotle (conversational AI analytics) and products for eBay and Cartier.