Invisible to AI: Evolving from SEO to GEO

The way people find, research, and buy has changed. Buyers now ask ChatGPT, Claude, and Gemini which products to choose and which companies to trust, and the brands those tools cite win the consideration. Ranking well in Google no longer guarantees you appear in those answers, and most brands have no way of knowing whether they are being cited, ignored, or displaced. That gap between traditional SEO and AI visibility is what this session is about.

In our recent webinar Invisible to AI: Evolving from SEO to GEO, Northern walks through what Generative Engine Optimization (GEO) actually involves and how to get started. Featuring Corey Dubeau (Partner, SVP Strategy, Northern) and Kristen Major (Digital Marketing Team Lead, Sr. SEO, Northern), and moderated by Christine Saunders (Senior Account Director, Northern), this session breaks down how AI-driven discovery works, why most websites are invisible to AI crawlers, and the practical steps that make a brand citable.

The team covers the shift from ranking to citation, the technical reasons AI crawlers cannot read most modern websites, how to structure content and product data so models can extract and cite it, and the measurement stack that finally makes AI visibility trackable, including GA4, Google Search Console, Semrush, and Adobe Brand Visibility.

What you'll learn:

• The New AI Journey: How discovery has moved from search results pages to AI-generated answers, and what that means for how buyers find your brand.
• Why Most Brands Are Invisible: How JavaScript-rendered content appears as a blank shell to non-rendering AI crawlers, and why being the right answer is not enough if a model cannot read you.
• Built to Be Cited, Not Just Ranked: Why top-10 rankings no longer guarantee AI citations, including Ahrefs research showing citations from top-10 pages fell from roughly 76% to 38% in eight months.
• From SEO to GEO: Where GEO, AEO, LLMO, and SXO fit, and how the discipline extends the SEO foundations you already have.
• Designing for Two Audiences: How navigation, structure, and metadata must work for human visitors and AI agents at the same time, and why accuracy in cited content protects brand trust.
• Content That Earns Citations: Extraction-ready formats, comparison content, site structure, and freshness, and why these are what LLMs actually consume and cite.
• Structured Product Presence for Retailers: Going beyond basic Product schema with depth of attributes, review data as a trust signal, and the structured feeds now powering AI shopping surfaces.
• Closing the Attribution Gap: Why roughly 70% of AI traffic arrives with no referrer according to Loamly research, and how channel grouping, Search Console's Generative AI report, Semrush, and Adobe Brand Visibility make AI visibility measurable.
• Where to Start: Northern's audit-first GEO process, from a lite audit of where your brand stands today to a repeatable optimization engine you own.

You will leave the session with a clearer view of how AI assistants decide which brands to cite, where your site is most likely losing visibility today, and how to build a GEO program that protects your discoverability as search continues to shift.

Want to know where your brand stands in AI search today?

Connect with our team to claim your free lite GEO audit and see how visible your brand is to ChatGPT, Claude, Gemini, and the AI tools your buyers already use.