How to Build a GEO Strategy from Scratch

How to Build a GEO Strategy from Scratch

Generative Engine Optimization (GEO) is the practice of optimizing your brand's visibility in AI-generated responses. Unlike traditional SEO which targets search engine result pages, GEO targets the responses generated by AI models like ChatGPT, Gemini, Perplexity, and Claude. This guide walks you through building a comprehensive GEO strategy from scratch.

Phase 1: Audit and Baseline

Step 1: Identify Your Target Queries. List the 20-50 queries most relevant to your business. Include category queries (best project management tools), comparison queries (Asana vs Monday.com), feature queries (project management with time tracking), and brand queries (what is [your brand]).

Step 2: Test Across Models. Run each query across ChatGPT, Gemini, Perplexity, and Claude. Document whether your brand appears, the accuracy of information, sentiment and positioning, and competitor presence. Citerna automates this process, testing your queries across 11 models simultaneously and establishing a quantified baseline.

Step 3: Analyze Gaps. Identify queries where you should appear but do not, models where your visibility is weakest, competitors that consistently outperform you, and inaccurate information that needs correction.

Phase 2: Foundation Building

Step 4: Fix Your Information Layer. Ensure accurate, consistent brand information across Wikipedia if applicable, your website about page, structured data markup, social media profiles, business directories, and review platforms.

Step 5: Create Authority Content. Build comprehensive content around your core topics. For each of your top 10 target queries, create a definitive content piece that provides the most complete answer available on the web.

Step 6: Implement Technical Foundations. Set up llms.txt on your website. Implement comprehensive schema markup. Ensure AI crawlers are not blocked. Optimize page structure for content extraction.

Phase 3: Optimization

Step 7: Build Citation Networks. AI models are more likely to mention brands that appear across multiple authoritative sources. Pursue media coverage in relevant publications, industry analyst mentions, partner and ecosystem content, and community contributions on platforms like Reddit, Stack Overflow, and industry forums.

Step 8: Create Citable Assets. Develop original research, benchmark studies, and data reports that AI models cite when discussing your industry. These citable assets have outsized impact on AI visibility because they provide unique information.

Step 9: Optimize Existing Content. Audit your existing content library and optimize for AI citation. Add structured data, improve factual density, update outdated information, and ensure clear heading structures.

Phase 4: Monitoring and Iteration

Step 10: Establish Monitoring. Set up regular monitoring with Citerna to track visibility scores across all target queries and models. Establish weekly or monthly review cadences to identify trends and respond to changes.

Step 11: Iterate Based on Data. Use monitoring data to prioritize optimization efforts. Focus on queries with the highest business impact and lowest current visibility. Celebrate wins and document what works for your specific brand and category.

Timeline Expectations

Months 1-2: Audit, baseline, and foundation building. Months 3-4: Authority content creation and technical implementation. Months 5-6: Citation building and citable asset development. Ongoing: Monitoring, iteration, and continuous optimization.

Results timing varies, but most brands see measurable visibility improvements within 3-6 months of systematic GEO effort. Citerna's monitoring provides the data needed to demonstrate ROI and justify continued investment.