How to Measure GEO Results: A Practical Framework

Everyone talks about doing GEO. Almost no one talks about measuring it.

That's a problem. GEO without measurement is just content production. Here's a practical framework for knowing whether your GEO work is actually moving the needle.

Why Standard Analytics Won't Help

Google Analytics shows clicks. Search Console shows rankings. Neither shows AI recommendation frequency.

When a user asks ChatGPT "what's the best project management tool?" and gets an answer — no click, no visit, no impression. That recommendation is invisible to your entire analytics stack.

This is the GEO measurement gap: your work happens in one place, your tools look somewhere else.

The Two Numbers That Matter

AI brand visibility breaks into two measurable dimensions:

Discovery Score — how often AI recommends you when users search by category, not by brand name.

This is the core GEO metric. Query: "best CRM for small business." Does AI mention you? At what position? Across which AI engines?

Brand Score — when AI mentions you, how accurately does it describe you?

Narrative consistency across ChatGPT, Claude, Gemini, Kimi. Sentiment accuracy. Whether the AI is describing the brand you've built or some outdated version of it.

Combined: Total Score = Discovery × 60% + Brand × 40%

The 4-Step Measurement Loop

Step 1: Baseline scan before any GEO work

Before you publish a single comparison article or restructure an FAQ, run a full AI visibility scan. Record:

• Overall score
• Discovery Score and Brand Score separately
• Which query scenarios AI never mentions you in (these are your content gaps)
• Which AI engines are weakest (often Chinese AI engines for Western brands, or vice versa)

This baseline is your T=0. Without it, you can't attribute improvement to anything.

Step 2: Map your blind spots to content types

Each scenario type that AI ignores you in maps to a specific content gap:

Don't write general GEO content. Write specifically for your gap type.

Step 3: Execute, wait 4–6 weeks

GEO content takes time to propagate. AI models update on different schedules. Expect 4–8 weeks minimum before a new piece of content influences AI recommendations at scale.

Common mistake: rescanning after 1 week and concluding GEO "doesn't work."

Step 4: Rescan and compare

Run the same scan against the same keyword. Compare:

• Did Discovery Score improve?
• Which scenario types improved vs stayed flat?
• Did specific AI engines improve while others didn't? (This tells you where your content coverage is uneven)

A rising Brand Score with flat Discovery Score means AI is describing you better but still not recommending you — your content is too brand-focused, not category-focused enough.

What Good Progress Looks Like

Realistic GEO improvement over 8 weeks with consistent content execution:

• Discovery Score +10–20 points: achievable with 3–5 well-targeted comparison articles and active community presence
• Brand Score +5–10 points: achievable with consistent messaging and FAQ structure improvements
• Specific AI engine catch-up: if Kimi scores 20 points lower than ChatGPT for the same brand, targeted Chinese-language content on Zhihu or Xiaohongshu typically closes the gap within 6–10 weeks

Red Flags in Your GEO Data

Brand Score >> Discovery Score (gap > 20 points)
AI knows you and describes you well, but doesn't recommend you unprompted. Fix: shift content from brand storytelling to category positioning. "Why choose [Brand] for [use case]" beats "About [Brand]."

English AI outperforms Chinese AI by 25%+
You have strong English-language third-party content but weak Chinese platform coverage. Fix: Zhihu long-form articles, Xiaohongshu posts, Bilibili content.

Comparison queries score lowest
AI cites your competitors in "X vs Y" scenarios but not you. Fix: publish "[Your Brand] vs [Competitor]" comparison content. This format is the highest-cited format in AI training data.

The Minimum Viable Measurement Stack

Monthly baseline scan → identify gap type → create targeted content → 6-week wait → rescan → repeat.

That's it. The brands that will own AI search in 2027 are the ones doing this loop consistently now, while most competitors aren't measuring anything.

Start your first scan free: anchor.agentese.ai

Anchor measures AI brand visibility across major AI engines and returns a scored diagnostic report in under 15 minutes. Discovery Score, Brand Score, scenario-level breakdowns, and GEO recommendations included.