How to Measure Your AI Presence: Generative Share of Voice and GEO Tools
Practical guide to measuring how much ChatGPT, Perplexity and Google AI Overviews mention your brand. GEO metrics, monitoring tools and how to interpret the results.

One of the most frequent questions when companies start working on GEO is: how do I know if my strategy is working? Unlike SEO, where Google Search Console gives you precise data on position and clicks, measuring AI presence requires specific methodologies and emerging tools. In 2026, the GEO metrics ecosystem is sufficiently mature to make data-driven decisions.
Key GEO Metrics
- AI Share of Voice: The percentage of relevant LLM responses where your brand appears vs the total responses about your category. It's the metric equivalent to traditional media share of voice, applied to AI. If ChatGPT mentions your brand in 3 out of 10 responses about "best link building platforms", you have a 30% AI Share of Voice for that query.
- Mention frequency: How many times your brand appears in LLM responses in a given period, regardless of proportion vs competitors.
- Attribute quality: How LLMs describe you when they mention you. Are the attributes the ones you want to project? Do they position you as a leader, reference, trusted option?
- Query coverage: How many relevant industry queries you appear for. A brand appearing in 20 different queries has more solid presence than one appearing frequently in only 2 queries.
- Position in the mention: Are you mentioned first, second or at the end of a list? First-position mentions have greater impact on user perception.
GEO Measurement Tools in 2026
- Otterly.ai: Specialized platform for monitoring brand mentions in ChatGPT, Perplexity, Claude, Gemini and other LLMs. Allows configuring relevant queries and tracking AI share of voice evolution over time.
- Profound: AI visibility analytics tool with competitor comparison functionality and content recommendations to improve presence.
- Scrunch AI: Analyzes how LLMs perceive and describe your brand, identifying gaps between your desired positioning and how AI describes you.
- Ahrefs and SEMrush (in development): Both platforms are integrating AI visibility modules with basic AI Overviews tracking capabilities.
- Structured manual monitoring: The most accessible zero-cost method. Create a spreadsheet with 20–30 relevant industry queries and run them monthly in ChatGPT, Perplexity and Gemini. Record if you appear and how.
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Before executing any GEO strategy, you need to know your starting point. A baseline audit gives you the reference point to measure progress:
- Define the 30 most important queries: Include informational queries ("what is link building"), recommendation queries ("best digital PR agency in the US") and comparative queries ("link building vs SEO").
- Run each query in 3–4 LLMs: ChatGPT (with and without web), Perplexity, Gemini, Claude.
- Record the results: Does your brand appear? In what position? With what attributes? Which competitors appear?
- Calculate the baseline share of voice: Your brand mentions / Total mentions (your brand + competitors) per query and LLM.
Interpreting Results: What AI Mentions Mean
Not all mentions have the same value. Learn to interpret quality:
- Mention as the first recommended option: The ideal scenario. Indicates LLMs perceive you as the primary reference in your category.
- Mention in a list of options: Good. Your brand is in the consideration set LLMs present to the user.
- Mention with incorrect or outdated attributes: Signal that the model has outdated information about your company. Requires source updates (Wikipedia, Crunchbase, media coverage).
- No mention: The opportunity. It means the media LLMs search doesn't have enough information about your brand in that context.
Connecting GEO Metrics to Business Results
The ultimate goal of GEO isn't to appear in AI — it's to get customers through AI. To connect GEO metrics with business results:
- Add to your contact form or CRM the question "How did you find us?" and monitor responses that mention ChatGPT, Perplexity or other AI tools.
- Analyze direct traffic and branded search spikes in Google Search Console after mass media publications (PR campaigns). Part of that traffic comes from users who found you in AI and then searched for you on Google.
Recommended Measurement Frequency
For a company executing an active GEO strategy, measure monthly for the 30 queries in your baseline audit. Compare with the previous month and with the initial baseline. The most significant results typically appear in month 3–4 of an active strategy of Digital PR and link building in high-authority media.
Esbuenisimo Links includes AI share of voice reports in advanced campaigns, allowing clients to precisely measure how their presence in ChatGPT, Perplexity and Google AI Overviews evolves throughout the campaign.
Frequently Asked Questions
What is AI Share of Voice and how is it calculated?+
AI Share of Voice (AI SoV) is the percentage of relevant LLM responses that mention your brand versus the total responses about your category. It's calculated by: (1) defining a query set of 20-50 relevant questions in your category ('best link building platforms', 'top PR agencies in LATAM', etc.); (2) running each query in ChatGPT, Perplexity, Gemini, and Claude; (3) recording which brands appear in each response; (4) dividing your brand's appearance count by total responses. A 30% AI SoV means you appear in 3 out of 10 responses for your category across the monitored platforms.
Which GEO measurement tools are available in 2026?+
The main GEO monitoring tools in 2026: Otterly.ai — tracks brand mentions across ChatGPT, Perplexity, Gemini with automated query monitoring; Profound — enterprise GEO analytics with share of voice, competitor tracking, and citation source analysis; Scrunch AI — Australian-based tool with strong multi-language support; Share of Voice AI by Ahrefs (beta) — integrates with existing Ahrefs workflows; BrandBird — focuses on brand sentiment in AI responses. For smaller budgets: manual query tracking in a spreadsheet (test 20-30 queries monthly in each LLM) provides the core data without tool cost.
How frequently should I measure GEO metrics?+
Monthly is the minimum recommended measurement cadence for an active GEO strategy. Weekly measurement makes sense when running an intensive press release campaign (to see real-time impact in Perplexity) or investigating a sudden change in mention rate. Quarterly is too infrequent — you'll miss the feedback needed to adjust content and PR strategies. The ideal workflow: automated monthly baseline scan of 30-50 queries across 4 platforms, plus ad-hoc deep dives after major campaigns or competitor activity. Track trends over 6-12 months — monthly-to-monthly variations are noisy; quarter-over-quarter trends are meaningful.
What does it mean if LLMs cite me but with incorrect attributes?+
Incorrect attributes (wrong founding date, incorrect product description, fabricated clients, wrong pricing) are brand hallucinations and require active correction. Document all incorrect attributes from your audit. Then: publish authoritative correct information on your website (Schema.org Organization with correct data), create/update Wikidata entry, update Crunchbase and LinkedIn profiles, and distribute a press release that explicitly states the correct information. Monitor monthly for improvement — Perplexity corrects within weeks (real-time search), ChatGPT within months (training data refresh cycle). Never ignore incorrect AI attributes — they can influence prospect perceptions at scale.
How do you connect GEO metrics to actual business results?+
Connect GEO to business results through: (1) Lead source attribution — add 'How did you hear about us?' with AI options (ChatGPT, Perplexity, etc.) to contact forms and sales intake; (2) Branded search correlation — track branded search volume in Google Search Console alongside AI SoV trends (they typically move together as AI mentions drive brand searches); (3) Perplexity referral traffic — GA4 reports referral sessions from Perplexity with source/medium tracking; (4) Dark traffic analysis — direct traffic often includes users who found you in AI then typed your URL; (5) Pipeline source analysis — ask sales to record how enterprise leads first heard about you. Build a GEO-to-revenue model over 6-12 months of data.
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