AI Share of Voice Tracking

You Cannot Improve What You Cannot Measure

Before you invest in AI visibility, you need to know where you stand. Which AI platforms mention your brand? How often? What language do they use? Which competitors are winning the recommendations you should be earning?

AI Share of Voice tracking answers all of those questions with monthly data across the AI platforms where your buyers are making decisions.

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Quick Answer

What is AI Share of Voice tracking?

AI Share of Voice tracking is the systematic measurement of how often and how prominently your brand appears in AI-generated answers across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews compared to competitors. It gives marketing teams a clear metric for AI visibility performance that can be tracked, reported, and optimized over time.

What Is AI Share of Voice?

AI Share of Voice measures what percentage of AI-generated category answers include your brand.

If five brands are tracked in your category and across 100 category-level AI prompts your brand appears in 18 of them, your AI Share of Voice is 18%. If your top competitor appears in 42 of those 100 prompts, their AI Share of Voice is 42% and they are winning the recommendation battle significantly.

That gap is measurable. It is also closeable. But only if you know it exists.

How Digile Media Tracks AI Share of Voice

Prompt Library Development: We build a category-specific library of 15 to 50 prompts that reflect the questions your buyers are actually asking AI systems, mapped to specific buying intent signals.

Multi-Platform Testing: Every prompt is run across ChatGPT, Perplexity, Gemini, and Claude. Each platform is tracked separately because citation patterns vary significantly.

Brand Mention Extraction: For each prompt response, we document which brands were mentioned, in what order, with what descriptive language, with what qualifiers, and in what context.

Share of Voice Calculation: Monthly calculation of brand mention rate as a percentage of total tracked mentions across all brands.

Sentiment Scoring: We classify each mention as confident recommendation, qualified recommendation, neutral mention, or cautionary mention.

What the Data Shows You

Your brand’s AI mention rate — the percentage of tracked prompts where your brand appears at all
Your brand’s AI recommendation rate — the percentage of mentions where your brand is specifically recommended
Competitor comparison — how your mention and recommendation rates compare to the top 3 competitors
Platform breakdown — where you appear most, where you are weakest
Trend over time — is your AI Share of Voice growing, flat, or declining?
Language analysis — what specific words and phrases AI systems use when describing your brand

What Is Included

Prompt Library (monthly): 15 to 50 category-specific prompts run across ChatGPT, Perplexity, Gemini, and Claude every month.

AI Share of Voice Report: Monthly report showing brand mention rates, recommendation rates, competitor comparisons, sentiment scores, and trend data.

Language and Sentiment Analysis: Documentation of the specific language AI systems use about your brand.

Competitor Gap Analysis: Identification of which competitors are gaining AI Share of Voice.

Priority Opportunity Report: Monthly callout of the highest-leverage prompts where small changes could improve your brand’s position significantly.

Trend Dashboard: Running historical view of your AI Share of Voice across all tracked metrics.

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Frequently Asked Questions

How many prompts do you run per month?
Standard tracking covers 15 to 25 prompts per month. For brands in competitive categories, we can expand to 50 prompts per month.

Which AI platforms do you track?
ChatGPT (GPT-4o), Perplexity, Gemini, and Claude are tracked as standard. Google AI Overviews are tracked for categories with high Google search volume.

Can I see historical data from before I started tracking?
No. AI responses are not archived. The data only starts accumulating from when tracking begins. This is why starting tracking early is valuable.

How is this different from just running the prompts myself?
What Digile Media adds is a structured, consistent prompt library calibrated to buying intent signals; multi-platform coverage; systematic mention extraction and classification; Share of Voice calculation across competitors; sentiment scoring; and trend reporting over time.

Reviewed by Hank Cai, Founder of Digile Media.