What is Generative Engine Optimization (GEO)?

Generative Engine Optimization, or GEO, is the practice of measuring and improving how your brand appears in AI-generated answers — ChatGPT, Gemini, Perplexity, Claude, and the AI Overviews now sitting on top of every Google search.

It is the successor discipline to SEO for an era where the user often never reaches your website. They asked an AI a question. The AI answered. They got their answer. You got nothing — not a click, not a session, not a hint of attribution.

Why this matters now, not next year

Three things shifted between 2024 and 2026 that turned GEO from a curiosity into a CMO problem:

• AI Overviews became default. Google rolled them out across most informational queries; click-through to underlying sites dropped sharply for any query where the Overview answered the question.
• ChatGPT search and Perplexity hit scale. Both crossed the threshold where B2B buyers report consulting them beforea vendor’s website, changing the order of operations in the buyer journey.
• Brand mention quality became more important than rank. Whether the AI mentions you decisively, names competitors first, or hedges about your category materially changes pipeline — and none of it shows up in a Search Console report.

What GEO actually measures

At Enso we score five dimensions per audit. They are not arbitrary — they each map to a different AI failure mode that costs B2B brands real revenue:

• Awareness — does the AI even mention you, unprompted?
• Authority — does it speak about you with confidence, citing primary sources?
• Sentiment — is the language positive, neutral, or hedged?
• Consistency — do GPT and Gemini tell the same story?
• Defensibility — how fragile is your AI-visibility moat?

Every dimension is scored independently per engine, then averaged into a confidence-weighted consensus. The full rubric — including weights, prompts, and the consensus formula — is documented on the methodology page.

How GEO is different from SEO

Legacy SEO platforms measure how Google ranks your pages. Their unit of measurement is the URL; their unit of value is the click. Both primitives presuppose a world where the user clicks through.

GEO measures something different: how an AI describes your brand when the AI is the one answering. Unit of measurement: the generated response. Unit of value: citation share, sentiment, and the absence of competitive crowd-out. Different surface, different toolkit.

The practical signal: a brand can hold the #1 Google rank for its category and still be described secondby ChatGPT — sometimes with a more confident framing than the company uses itself. That gap between page rank and answer rank is what GEO measures, and it’s why a separate toolkit is becoming necessary.

How to start a GEO program

You don’t need to throw out SEO. You need to add a measurement layer on top. Practical first steps:

• Run a baseline audit — get a number you can argue about.
• Lock three competitors and benchmark monthly.
• Pick the lowest dimension on your scorecard and focus a quarter on moving it.
• Watch for cross-engine inconsistency — it’s the highest-leverage fix in any GEO program.

The goal isn’t to obsess over a single 0–100 number. It’s to give your CMO a reproducible measurement of how AI talks about your brand, so the team has something to push against.