How to measure GEO performance
Publiée le January 7, 2026
Publiée le January 7, 2026
Success in GEO can’t be measured by conventional SEO metrics. AIs don’t give ranking positions. You need to watch for indirect signs of inclusion and influence.
Walker Sands proposes seven key metrics for assessing the visibility and impact of GEO initiatives:
AI referral traffic. Measure the number of visits from ChatGPT, Perplexity or Gemini, and track associated conversions.
Leads and pipeline. Calculate how many opportunities and revenues come from AI visitors.
On-site commitment. Analyze session duration, page views and visitor conversion rates from AI responses.
Brand perception and feeling. Monitor how AIs describe your brand and analyze sentiment (positive, neutral, negative).
Visibility (mentions and citations). Measure the frequency with which your brand is mentioned or cited in AI responses.
Share of Voice. Calculate your share of citations in relation to competitors.
Crawl by AI bots. Check that bots can access and learn from your pages.
BrandRadar details a six-step framework: measure Answer Share of Voice (ASoV), track Question-to-Quote (Q→Q) velocity, map visibility and sentiment per prompt, analyze citation mix and news source, create an AI dashboard, and implement continuous intelligence. ASoV is your brand’s share of inclusion in a set of tested prompts, and is becoming a major KPI for executives.
Google Analytics 4 (GA4). Segment AI-generated traffic to measure engagement and conversions.
Semrush / Ahrefs. Track backlinks, authority and keyword trends to see how SEO authority reinforces GEO visibility.
Profound or ZipTie. These GEO-specific tools show where and how your content appears in generative platforms and measure your citations.
BrandRadar. Tracks ASoV, maps visibility by prompt and monitors Q→Q velocity. The article points out that companies need to create an AI visibility dashboard to track this data.
CRM tools (Salesforce). Link AI-generated leads to the sales pipeline.
Cloudflare Bot Analytics / GoAccess. Identify the activity of AI bots on your site to check that your pages are being crawled.
To implement these measures, start by defining a set of prompts (questions) representing your customers’ main intentions. Test these prompts regularly on ChatGPT, Perplexity, Gemini or Google SGE and note whether your brand is cited. Then calculate your ASoV: number of prompts where you’re quoted / total number of prompts. Monitor Q→Q velocity by asking new customers how they found out about you and analyzing the evolution of the sales cycle. Compare performance from one period to the next to identify improvements or decreases in visibility.
By cross-referencing Walker Sands KPIs (traffic, leads, sentiment) with the BrandRadar framework (ASoV, Q→Q, sources), you get a holistic view of your GEO performance. Brands need to accept that some of the metrics are still emerging, so it’s vital to experiment, document and adjust their strategy as the engines evolve.
To effectively measure your GEO strategy, you need to understand how to calculate and interpret each metric. Here are some details and examples:
AI-referred traffic. Create customized segments in GA4 to identify sessions whose source/medium contains “chat.openai”, “perplexity.ai” or “gemini”. Track the number of sessions, page views and conversions. For example, a SaaS company might find that 5% of its sign-ups come from visitors who clicked on a link in ChatGPT.
Leads and pipeline. Link your CRM to GA4 to associate leads generated with AI sources. Measure the number of opportunities created, their potential value and the closing rate. Walker Sands explains that assessing the real impact on sales is crucial to justifying GEO investments.
On-site commitment. Analyze the average session length, the number of pages per visit and the bounce rate of users coming from AIs. Long sessions indicate that your content is meeting expectations; if the bounce rate is high, adjust your landing pages to better match visitor intent.
Brand perception and feeling. Collect ChatGPT or Perplexity verbatims by asking questions about your brand. Analyze whether the tone is positive, neutral or negative. You can also survey customers to find out how they perceive your AI responses.
Visibility (mentions and citations). Use tools like Profound or BrandRadar to track the number of times your brand is mentioned and quoted in AI responses. For example, if you test 100 prompts and your brand is cited 20 times, your citation rate is 20%.
Part de voix / Share of Voice. Calculate your share of voice by comparing your number of citations with that of your competitors. If the category totals 50 citations and 10 mention your brand, your share of voice is 20%. BrandRadar recommends tracking this share of voice on a monthly basis to detect changes in positioning.
Crawl by AI bots. Monitor server logs to see if bots like “ChatGPT-User” or “PerplexityBot” are accessing your pages. An increasing number of calls indicates that your site is being taken into account by AI systems.
ASoV measures the proportion of a set of prompts where you are quoted. To calculate it :
Define a sample of prompts representative of the questions your customers ask. For example, 50 questions on your products, 50 on your sector and 50 on related topics.
Test prompts on ChatGPT, Perplexity, Gemini and SGE and note whether your brand appears. Use a spreadsheet to centralize the results.
Calculate ASoV: (number of prompts where your brand is mentioned) ÷ (total number of prompts). For example, if your brand is cited 40 times out of 150 prompts, your ASoV is 26.7%. BrandRadar suggests comparing this indicator with that of your competitors and tracking it over time.
Q→Q velocity measures the time between the appearance of an issue in the marketplace (for example, a new topic in the forums) and the moment when the AI starts quoting your brand as a solution.
Identify new questions on platforms such as Reddit, Quora or social networks. Note the date of appearance.
Monitor citations in generative engines. With each new prompt, check whether your brand is mentioned and note the date.
Calculate the delay: date of first citation – date of appearance of the question. A low Q→Q velocity indicates that your content is quickly integrated by AIs. BrandRadar points out that shortening this delay through responsive content improves your visibility.
| KPI | Description | Simplified formula | Main tool |
|---|---|---|---|
| AI Referral Traffic | Visits from AIs | AI Sessions ÷ Total Sessions | GA4, Profound |
| Leads generated | Opportunities created thanks to AI | Number of AI leads | CRM, GA4 |
| ASoV | Share of prompts quoting the brand | Citations ÷ Prompts tested | BrandRadar |
| Q→Q velocity | Delay between a question and a quote | Date citation – Date question | BrandRadar, manual tracking |
| Share of Voice | Share of citations relative to market | Brand quotes ÷ Total quotes | Profound |
| Sentiment | Answer tone AI | Manual analysis or analysis tool | ChatGPT, surveys |
| AI Crawl | Number of AI bots visiting the site | AI bot hits | Server logs, Cloudflare Analytics |
GEO performance isn’t just about web traffic. Also analyze the impact on social networks, YouTube, podcasts and content platforms. A video mentioning your brand in a ChatGPT summary or Reddit thread can generate significant engagement. To track these signals, set up Google Alerts and use social listening tools. Cross-reference this data with your sales to understand the AI halo effect.
By deploying a robust measurement system and correctly interpreting each KPI, you’ll be able to guide your GEO strategy and prove the ROI of your efforts.