A practical, phased roadmap for building GEO visibility — whether you're starting from zero or protecting an existing organic program.
Here's a test. Open Perplexity and type: '[Your industry] [your primary service] [your city]'. Does your brand appear in the answer? Are you cited? Are you mentioned at all? For most organizations right now, the answer is no. Their SEO programs have earned them Google rankings. But the AI answer layer is a different game — and most brands don't have a strategy for it yet. This is the 90-day plan I use to audit, fix, and build GEO visibility from the ground up.
You can't build a strategy without a baseline. The GEO audit maps where you stand in AI-generated answers today — and where your competitors are winning without you.
Run your 20 highest-priority target queries through ChatGPT (GPT-4), Perplexity, Google AI Overviews, and Bing Copilot. For each query and each platform, record: Is your brand mentioned? Are you cited as a source? Are competitors cited? What type of content is being cited (blog posts, product pages, third-party mentions)? What entities are being referenced?
This gives you a concrete picture of your GEO gap — which competitors are winning in the AI layer, what content types are being retrieved, and which query categories represent the biggest opportunities.
The GEO audit almost always reveals a counterintuitive finding: the brand with the #1 Google ranking is not always the brand being cited in AI answers. The content structure and authority signals that drive LLM citation are partially, but not fully, correlated with traditional ranking signals.
This is the highest-leverage phase. The content you create and restructure here is what actually gets cited in AI answers.
The GEO content framework has three layers. The first is direct answer content — pages that answer specific, high-intent questions directly and concisely. The format: question as H1, direct answer in first paragraph (2–3 sentences), supporting detail in the body, FAQ section at the bottom. This structure mirrors how LLMs prefer to retrieve and cite.
The second layer is topical authority content — long-form, expert-authored pieces that establish your brand as the definitive source on your core subject matter. These aren't SEO content farm articles. They're genuine expert perspectives, backed by data, that demonstrate the Experience and Expertise signals LLMs use to assess credibility.
The third layer is data and research content — original statistics, studies, surveys, or proprietary insights that other content (including AI-generated answers) will cite. A page titled 'We analyzed 1,000 A/B tests — here's what we found' is citation fuel. Generic 'what is A/B testing' content is not.
GEO authority is built on and off your site. The third phase focuses on distributing your expertise across the open web in ways that LLMs can find and trust.
Guest posts and contributed articles on industry publications (Search Engine Journal, Marketing Week, industry verticals) build off-domain authority signals that LLMs recognize. A brand cited in 50 authoritative third-party sources is treated differently by LLMs than a brand with a strong website but no external presence.
LinkedIn is heavily indexed by AI search engines. Publish original insights, case study snippets, and data-backed observations weekly. Don't syndicate blog posts. Write original content — shorter, specific, opinionated. A post that says 'We tested checkout flow simplification 8 times. Here's the pattern from every winning variant' gets cited. A post that says 'Here are 10 CRO tips' doesn't.
Podcast appearances, speaking slots, and press mentions all contribute to entity authority. The goal is a consistent signal across the open web: Jason Summers is an expert in SEO, GEO, CRO, and digital product management. That consistency — not just your website's quality — is what builds LLM trust.
Unlike traditional SEO, GEO doesn't have a standard rank tracker yet. The measurement framework I use combines four data sources.
Manual citation audits — run your target queries through AI platforms weekly, track mention and citation frequency. It's manual, but it's the most accurate signal available right now.
Traffic source analysis — AI Overviews and some Perplexity citations do drive clicks. A spike in referral traffic from ai.google.com, perplexity.ai, or bing.com/chat signals improving GEO visibility.
Brand search volume — when your brand is being cited in AI answers, users often follow up with a branded search. Rising brand search volume in Search Console can indicate improving GEO presence.
Share of voice in AI answers — track what percentage of relevant AI-generated answers include your brand vs competitors. This is your GEO equivalent of rank position.
The 90-day plan isn't a one-time project. GEO is an ongoing program, just like SEO. The organizations that commit to it as a continuous discipline — not a quarterly initiative — are the ones who will own the AI answer layer in their category.