The GEO you learned earlier has to be measurable, otherwise doing it is as good as not doing it. This lesson gives you a lightweight monitoring setup: no tool pile-up, no dashboards — one hour a month to see clearly whether AI is citing you and whether that is more than last month.
Three monitoring channels
Direct answer: ① GSC generative AI impression data (first-party, by page and country); ② AI visibility monitoring tools (Profound, Otterly.ai and similar) for keyword-level citation tracking; ③ a manual monthly spot-check on AI platforms. The three channels complement each other; on a small budget start with ① and ③.
| Channel | What you can see | Who it suits |
|---|---|---|
| GSC AI impressions report | Official data: which pages get AI impressions, by country and device | Every site, must-read (feature availability depends on your actual account) |
| AI visibility tools | Keyword level: on which AI platforms, and whether you or a competitor is cited | Keep to 50 core keywords or fewer; scale up if the budget allows |
| Manual spot-check | A real buyer’s view: are you in the AI answer, and how does it describe you | Free, 1 hour per month |
How to run the manual check: prepare 10 core questions buyers actually ask (category + use case + comparison), ask each one in Google AI Overviews, ChatGPT and Perplexity every month, and log in a spreadsheet: cited / not cited, which page was cited, and whether the answer says anything favourable about competitors.
The core GEO metrics
Direct answer: three are enough — number of AI-cited queries (how many of your 10 test queries get you cited), citation quality (whether the answer states your differentiated selling points), and share of inquiries from AI channels (the proportion of inquiries attributable to AI).
- Number of AI-cited queries: The most direct visibility metric — watch the trend, not the absolute value.
- Citation quality: It makes a real difference whether AI says you “hold ISO certification with 12 years of export experience” or merely lists your name — the former means your evidence architecture is working.
- Share of inquiries from AI channels: Add a “how did you hear about us” field to the inquiry form to accumulate attribution data over time.
Monthly review template (30 minutes)
Direct answer: four fixed steps every month — log citation data → find the core queries that are not cited → analyse why the cited pages win → copy the approach onto the lagging pages. The output of every review is always “which 3 things to do next month”.
- Step 1: Update the spot-check table and GSC AI impression screenshots, and compare with last month.
- Step 2: List the queries where you are not cited and check whether the corresponding pages have evidence architecture (direct answer up front + tables + first-hand data).
- Step 3: Compare cited pages against uncited ones — the gap is usually “unique data / spec tables / real cases”.
- Step 4: Write down 3 actions for next month (e.g. add specification comparison tables to 2 lagging pages, publish 1 industry article with measured data).
Cited but not clicked — what to do
Direct answer: treat keywords by type. A brand mention counts even without a click (it builds awareness); commercial terms should be judged on clicks — if citations keep coming with no clicks, the AI summary is already satisfying the need, so your page must offer what a summary cannot: complete spec tables, pricing logic, customisation cases, downloadable resources.
⚠️ Note: how AI impression data is counted is still evolving on each platform, so do not compare figures across tools directly — only track your own month-on-month trend. Feature names and entry points follow the actual interface in your GSC account.
FAQ
- How do I know whether AI search is citing my content?
- Three channels: GSC AI impression data, Profound/Otterly-type monitoring tools, and a monthly manual spot-check of 10 core queries across the three major AI platforms, logged. On a small budget start with GSC plus the manual check.
- Being cited by AI without a click — does that count as useful?
- Treat keywords by type: a brand mention counts even without a click, while commercial terms should be judged on clicks. When citations keep coming with no clicks, add value an AI summary cannot provide: complete spec tables, pricing logic, case studies.
- How often should you review GEO?
- Monthly is enough: review the number of AI-cited queries, citation quality and the share of inquiries from AI channels, and produce 3 actions for next month. Checking data more often is worth less than spending the time on content.
Keep Learning (by Track)
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