What does the first 30-day GEO sprint look like for an SMB?

TL;DR: A 30-day Generative Engine Optimization (GEO) sprint for a small business isn't about chasing keywords. It’s a focused four-week cycle: first, audit what AI engines like ChatGPT, Perplexity, and Google AI Overviews currently say about you. Second, fix your technical foundation with structured data and LLM-specific files. Third, create specific, answer-first content that AIs want to cite. Finally, track your visibility and iterate.

Week 1: The Brutally Honest AI Visibility Audit

Before you can improve your standing with AI engines, you have to know what they think of you right now. Most founders are shocked to discover that AIs either ignore their business entirely or, worse, cite outdated information or a competitor. Your first week is a deep dive into your current AI "share of voice."

• Prompt a dozen ways: Ask the major AI models (ChatGPT, Gemini, Perplexity, Claude) questions a real customer would. Go beyond "best [service] in [city]." Try asking about pricing, common problems your service solves, or comparisons between options in your industry.
• Document everything: Who do they cite? What sources do they link to? Is the information about your business (if any) accurate? Note the exact language used.
• Analyze competitors: For every query where a competitor is mentioned, reverse-engineer the citation. Is it their G2 profile? A blog post? A specific page on their site? This is your initial list of content to outperform.

The goal of Week 1 isn’t to fix anything. It’s to get a clear, unbiased baseline of where you stand. You can't chart a course until you know your starting position.

Week 2: Building the Technical GEO Foundation

AI engines and crawlers are lazy; they prioritize information that is easy to parse and verify. This week is about making your website technically impeccable for non-human visitors. While classic SEO focused on keywords and backlinks, GEO prioritizes structure and clarity.

Here’s how the focus shifts from the old way to the new way:

Your main job this week is implementing comprehensive schema.org markup (like LocalBusiness, FAQPage, and Article) and creating an llms.txt file to guide crawler behavior. Most of your competitors won’t have this done, giving you an immediate technical edge.

Week 3: Creating Content AI Wants to Cite

With a solid technical foundation, it's time to create content designed for citation. Unlike a typical blog post, GEO-optimized content is structured, opinionated, and answers questions directly. AI engines are looking for definitive, citable sources.

This week, write two or three "pillar" articles that address the most common, high-stakes questions your customers have. Don't write about your brand. Write about the problem. If you're a roofer, write the definitive guide to roof costs in your area. If you're a recruitment agency, explain what the interview process for a sales role actually looks like day-to-day. Use the competitor research from Week 1 to guide your topics.

Week 4: Track, Measure, and Double Down

GEO isn't a "set it and forget it" activity. The final week of your initial sprint is about establishing a rhythm of tracking and iteration. The AI landscape changes daily as models are updated and retrained. What worked last week might not work next week.

Your goal is to answer one question: Did our actions in weeks 2 and 3 change the answers from week 1?

• Re-run your prompts: Systematically re-ask the same set of questions from your Week 1 audit.
• Measure change: Have your citations increased? Has negative sentiment been replaced with neutral or positive mentions? Have you displaced a competitor?
• Plan the next sprint: Based on the results, identify the next set of questions to target with new content or the next technical tweak to make. The work is never truly done. Platforms like GeoNexo automate this tracking, but you can do it manually with discipline.