LLMO

AI Share of Voice — Metrics & Tracking Tools

By ChatLooker Team · Updated 2026-06-13

AI share of voice (SOV) is the percentage of relevant AI-generated answers that mention your B2B brand compared to competitors. It is the closest analogue to traditional share of voice — but in ChatGPT, Perplexity, and Google AI Overviews instead of SERP impressions. For SaaS marketing teams, SOV is a leading indicator of whether AI assistants recommend you during category research.

AI share of voice marketing metrics for leadership

AI share of voice marketing metrics for leadership reporting include mention rate, top-3 presence rate, competitor replacement count, and citation rate — not only raw brand string counts. Marketing teams should present SOV alongside missing prompt coverage so executives see pipeline risk, not vanity totals.

What Is AI Share of Voice?

AI SOV answers a simple question: when buyers ask category prompts, how often does your brand show up? Calculate it by dividing the number of prompts where your brand appears by the total prompts in your tracking set, then compare against each competitor's rate.

Example: across 50 "best AI visibility tool" prompts, your brand appears in 22 responses. Your AI SOV is 44%. If the category leader appears in 38, their SOV is 76%. That gap quantifies how much ground you need to cover in LLMO and GEO work.

Mention rate vs recommendation rate

Not all mentions are equal. A brand can appear in paragraph five as a historical footnote while three competitors dominate the opening shortlist. That is why mature programs track two layers:

Mention rate — any appearance in the response
Top-3 presence — appearance in the first three recommended options or bullet list

Insight (top3-presence-gap): Top-3 presence in AI answers is often lower than raw mention rate — a brand can be named without being recommended.

This gap appears consistently in ChatLooker visibility checks: brands with respectable mention rates still lose deals because buyers act on the top three names the model surfaces first.

Why Does AI Share of Voice Matter for B2B SaaS?

B2B purchases involve committees and heavy research. When a director asks ChatGPT for "alternatives to [incumbent]" or "best [category] for enterprise security teams," brands in that answer enter the consideration set before sales gets a call.

Pipeline influence before the website visit

Unlike SEO, where a poor ranking might still earn a click on page two, AI answers present a curated shortlist. Missing from that list means missing the first filter — AI SOV measures whether you pass it.

Competitive displacement signals

Falling SOV while a competitor's rises is an early warning — often visible before organic traffic or branded search shifts. Pair SOV tracking with competitor prompt mapping to identify which queries drive displacement. AI SOV translates LLMO investments into quarterly leadership benchmarks — similar to SERP share or paid impression share.

AI search share of voice for my brand

AI search share of voice for my brand is the percentage of buyer prompts where ChatGPT, Perplexity, or AI Overviews mention or recommend my company versus competitors on the same query set. To calculate AI search share of voice for your brand, divide prompts where you appear by total tracked prompts — then compare against each rival's rate on identical queries.

ChatLooker reports share-of-voice style metrics on custom buyer prompt sets — request a free AI visibility check to baseline your brand.

AI search share of voice definition

AI search share of voice definition: the percentage of buyer prompts where your B2B brand is mentioned or recommended in ChatGPT, Perplexity, or AI Overviews versus total tracked prompts — not blue-link visibility alone.

Measuring AI search share of voice over time

AI search share of voice trends matter more than single spot checks. Re-run the same buyer prompt set monthly and report share deltas alongside top-3 presence — leadership needs trend lines, not anecdotal ChatGPT screenshots. See OpenAI ChatGPT search help and Perplexity search guide for retrieval behavior.

AI search share of voice vs mention rate for my brand

AI search share of voice for my brand differs from raw mention rate: a passing reference in paragraph five does not equal shortlist inclusion. Track both metrics on identical prompts so marketing sees when share rises without recommendation depth improving.

How Do You Measure AI Share of Voice?

There is no single public dashboard from OpenAI or Google. B2B teams build a repeatable manual or platform-assisted process.

Step 1: Define your prompt universe

Select 30–100 prompts reflecting buyer intent: category bests, comparisons, alternatives, and role-based queries. Weight high-intent prompts higher in your composite score.

Step 2: Run checks across modes and products

Log results from ChatGPT default, ChatGPT with browsing, Perplexity, and Google AI Overviews — mode differences can shift which brands appear in the shortlist.

Step 3: Score mentions and top-3 presence separately

For each response, record: mentioned (yes/no), top-3 position, competitors listed, and cited URLs. ChatLooker automates mention rate, top-3 presence, and competitor replacement from the same prompt set.

Step 4: Segment by funnel and persona

Segment by prompt type — you might own awareness queries but lose every comparison. Prioritize LLMO fixes where commercial intent is highest.

How Can B2B SaaS Improve AI Share of Voice?

Publish answer-first category pages with extractable shortlists (LLM-friendly content architecture), strengthen entity and retrieval signals, close missing prompt gaps quarterly, and earn third-party mentions on review sites and analyst roundups.

FAQ

Q: What is AI share of voice?

A: AI share of voice is the percentage of tracked buyer prompts where your B2B brand is mentioned or recommended in ChatGPT, Perplexity, and similar answer engines — relative to competitors on the same query set. Pair with top-3 presence rate; raw mention share alone can mask missing shortlist inclusion.

Q: What AI share of voice marketing metrics should B2B teams report?

A: Report top-3 presence rate, mention rate, competitor replacement count, and citation rate on a fixed buyer prompt set — not blended vanity totals. Marketing leadership needs trend lines month over month on the same queries.

Q: Is AI share of voice the same as GEO visibility?

A: Related but not identical. GEO focuses on citations and inclusion in generative answers broadly. AI SOV is a quantified share metric — how often you appear relative to the full prompt set and competitors.

Q: What is a good AI SOV benchmark for B2B SaaS?

A: Benchmarks vary by category competitiveness. In crowded categories, 15–25% mention rate with 8–12% top-3 presence may be typical for challengers; category leaders often exceed 40% top-3 presence on high-intent prompts.

Q: Should we weight ChatGPT over Perplexity?

A: Weight by where your ICP researches. Many B2B buyers use both. Track separately before blending into a composite score.

Q: Can we improve SOV without changing our website?

A: Partially — PR, reviews, and docs on third-party domains affect parametric and retrieval signals. On-site LLMO structure remains the asset you control most directly.

Key Takeaways

AI share of voice measures brand appearance across a defined set of AI prompts — essential for B2B SaaS category visibility.
Top-3 presence in AI answers is often lower than raw mention rate — a brand can be named without being recommended.
Track mention rate and top-3 presence separately; optimize for recommendation slots, not vanity mentions.
Test multiple AI products and modes — visibility landscapes differ materially.
Use ChatLooker or a structured manual process to score prompts monthly and tie results to LLMO content work.