What should I use to measure my share of voice in AI chatbot answers?

For a practical, repeatable measure, use an AI-visibility tracker that samples a consistent set of buyer questions across the chatbots your customers use. Don’t treat one “AI visibility score” as a definitive market-wide number: results depend on the prompts, engines, location, and how the tool defines share of voice.

Tools worth evaluating:

• Semrush AI Visibility Toolkit — a good fit if you already use Semrush; it reports competitor share of voice and lets you compare platforms such as ChatGPT, Gemini, Perplexity, and Google AI Mode. (semrush.com)
• Ahrefs Brand Radar — useful for broad discovery and benchmarking, including mentions, citations, and share of voice; it also offers custom prompt tracking. Its share-of-voice figure is modeled around its prompt set, so read the methodology before comparing it with another tool’s number. (help.ahrefs.com)
• Peec AI — worth a look if you want a straightforward, mention-based competitor comparison. Its stated share-of-voice formula is your brand’s mentions divided by all tracked brands’ mentions. (help.peec.ai)
• DIY spreadsheet — fine for a small initial audit: use a fixed set of prompts, run them regularly on the relevant platforms, and record brand mentions and citations. It takes more work, but you can see exactly what went into the number.

Track two things separately:

1. Answer visibility: the percentage of sampled answers that mention your brand.
2. Mention share: your brand’s mentions divided by mentions of all tracked brands.

Also log citations separately: being named isn’t the same as having your site cited. Peec explicitly distinguishes “visibility” from mention-based share of voice, while Ahrefs reports mentions and citations as separate metrics. (help.peec.ai)

Whichever you choose, keep the prompt set, competitor list, location, and cadence consistent; segment results by chatbot; and treat changes as directional, not as a census of every answer users receive. For a quick start, I’d pilot Semrush or Ahrefs if you already use one, or compare both with a smaller DIY prompt panel before committing.

The right tool depends on scale and budget. For a small test, you can run a fixed prompt set by hand. Once you track more than about 10 prompts, competitors, and platforms, dedicated tools make sense.

Dedicated AI visibility trackers

• Profound is the enterprise option. It re-runs each tracked prompt daily and stores each answer as a snapshot, showing whether you were mentioned, where you ranked, and which sources the model used. Profound is a generative engine optimization platform that tracks brand visibility, share of voice, and sentiment across AI answer engines. It re-runs each tracked prompt daily and stores every answer as a complete snapshot. One reviewer notes its cheapest tier covers only one engine for $99 a month, so check engine coverage.
• Peec AI is a mid-market option with competitor dashboards and per-source views. Peec AI, 8.2/10, best mid-market share-of-voice tracker — competitor dashboards and per-source views from about €90/month.
• Otterly AI is the budget choice. One roundup lists it at $29 a month as a starting point for scheduled monitoring, though its entry allowance is small (15 prompts on Lite, 100 on Standard, 400 on Premium).
• Semrush AI Visibility is useful if you already use Semrush. It starts at $99/mo per domain and covers four to six engines.
• Ahrefs Brand Radar suits teams already on Ahrefs, with AI tracking built on top of Ahrefs' substantial prompt corpus.
• Nightwatch and LLM Pulse are other options. Nightwatch tracks AI SOV automatically, including sentiment, position, and competitor share across ChatGPT, Perplexity, Google AI Mode, and AI Overviews. LLM Pulse reports mention-based, position-weighted, and citation-based share.

What to check before buying

• Metric definitions. Look for tools that report more than one kind of share. One guide suggests scoring share of answer (your brand in the body of the response), share of citation (your URL linked as a source), and share of mention (your name anywhere in the reply).
• Engine coverage. Results differ by platform. One 2026 study found that ChatGPT, Gemini, Perplexity, and Google AI Overviews cited the same domains in only 3.8% of cases, so track several engines.
• Prompt set. Your results depend heavily on which prompts you track. Choose tools that let you build prompts from real buyer language and that show how often each prompt is run.
• Pricing. Prices vary by vendor, engine count, and prompt volume, and many vendors don't publish list prices. Check current pricing directly.

If you're unsure, start with a free trial from two tools and run the same prompt set through both. Compare their numbers before you commit.

To measure your share of voice (SOV) in AI chatbot answers, you must shift from tracking traditional keyword rankings to monitoring generative visibility. Because AI answers are probabilistic (they change each time) and synthesized rather than ranked, you need a systematic approach to auditing these responses.

How to Measure AI Share of Voice

AI Share of Voice is calculated as:
AI SOV = (Your Brand Mentions ÷ Total Brand Mentions for All Tracked Brands) × 100

To get an accurate measurement, follow this methodology:

1. Define a Fixed Prompt Set: Identify 20–50 high-intent queries that your customers actually use to research your category (e.g., "What is the best [product category] for [use case]?"). Do not rely on your current SEO keyword list alone.
2. Standardize Your Engine Mix: Run these prompts repeatedly against the platforms your audience uses most, such as ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot.
3. Account for Variance: Because the same prompt can yield different results, run your prompt set periodically (e.g., weekly or monthly) to establish a stable, directional trend rather than relying on a single snapshot.
4. Count Mentions and Citations: Track three distinct types of visibility:
   • Mention: The AI names your brand in the text.
   • Citation: The AI links to your domain as a source (even if your brand name isn't in the text).
   • Recommendation: The AI explicitly suggests your brand as a solution.

Recommended Tools

If you want to move beyond manual spreadsheets, several dedicated tools specialize in AI visibility and Share of Voice tracking:

• Dedicated AI Visibility Platforms: Tools like Otterly.ai, Peec AI, Beamtrace, and TopCited are built specifically to monitor brand mentions across LLMs. They track trends, sentiment, and citation sources.
• SEO-Integrated Tools: Many traditional SEO platforms have added AI search monitoring, including Ahrefs (Brand Radar), SE Ranking (via AI Search Add-on), and Semrush. These are excellent if you want to keep your traditional SEO and AI-driven insights in one workspace.
• Enterprise-Grade & Specialized Solutions: Platforms like Profound (for enterprise analytics), JustSEO.ai, and Siftly offer deeper, actionable insights such as content gap identification and competitive benchmarking.
• Free Checkers: If you are just starting, many providers offer a free AI visibility check or "grader" (e.g., HubSpot’s AI Search Grader, Honeyb's free checker) to give you a baseline of how your brand currently appears in major engines.

Key Advice for Implementation

• Don't ignore the "Zero-Click" reality: AI SOV is now a "North Star" metric because it measures the synthesized answer that users are actually reading.
• Focus on Actionable Gaps: A dashboard is only useful if it tells you why you aren't being mentioned. Look for tools that show you which sources the AI cited instead of you—this reveals the content gaps you need to fill to earn those mentions in the future.
• Watch the Sentiment: Some tools (like Peec AI or HubSpot) offer sentiment analysis. Being mentioned is only good if the AI describes you positively; tracking the tone of the mention is as important as the frequency.

Use an AI visibility / answer-engine monitoring tool that repeatedly runs your customer-style prompts across the chatbots you care about, then compares your brand’s mentions with competitors’. Examples to evaluate include Profound, Peec AI, Semrush AI Visibility Toolkit, and Otterly.AI; HubSpot AEO is another option if ChatGPT, Gemini, and Perplexity cover your needs. Features and engine coverage vary, so check that the tool supports your target platforms and lets you inspect the underlying answers—not just a single score. ⁶⁷⁹¹¹

For a useful comparison, look for:

• Share of voice by engine and prompt/topic, with a clear formula
• Mention frequency and prominence (whether you’re named, and where)
• Citations and cited-source tracking
• Competitor comparisons, sentiment, and historical trends
• Transparent sampling: prompt, platform/model, date, locale, and repeat-run details ⁶¹²

If you’re starting small, you can do this in a spreadsheet: choose a fixed set of real buyer questions, run them across each platform regularly, and record brand mentions, competitors, position, and citations. A common measure is your brand’s mentions ÷ mentions of all tracked brands × 100—but vendors define SOV differently, so keep the formula and prompt set consistent. ⁵⁶

Treat the result as a sampled trend, not a complete census of chatbot conversations: answers vary across runs and platforms. Repeat prompts and report results separately by engine rather than blending everything into one number. ¹²¹³