AI share of voice: how often AI names you vs competitors

What is AI share of voice?

When someone asks an AI assistant "what are the best tools for X" or "who should I hire for Y," the assistant returns a short list of names. AI share of voice is your slice of those answers: how often you get named compared with everyone else in the category. If a typical answer lists five options and you are one of them, your share is roughly one in five. The point is not a single number, it is the trend, because the list the models give changes as the web changes and as the models update.

This is the AI-era version of the old marketing metric. In search and social, share of voice meant your slice of category mentions. Now that people ask Claude, ChatGPT, Gemini, and Grok instead of typing into a search box, the question is whether those assistants put you in the answer at all, and how that compares to your competitors.

How do I measure share of voice in ChatGPT (and the other models)?

You can do a quick version by hand: open ChatGPT, ask the questions a real buyer would ask about your category, and count how often it names you versus competitors. That tells you where you stand today, in one model, for one phrasing. The hard part is doing it consistently. Answers shift between sessions, every model phrases the category differently, and a one-off check tells you nothing about whether you are gaining or losing ground.

Saidly automates the consistent version. It runs your category questions across all four models on a schedule, counts who got named and how often, and shows the change since the last report. Each report includes a representative quote per model, the recurring themes, and the cited sources each model used, so you can see not just your share but why a competitor is winning a given answer.

What does a Saidly share-of-voice report show?

Share of voice sits inside the same report as sentiment, so you get the full picture of how the AI assistants treat you and your category in one place.

Share of voice vs competitors

How often each model named you against the rivals you are tracking, per model and rolled up across all four.

Per-model sentiment score (0 to 100)

Whether the mentions you do get are positive, neutral, or negative, scored for each of Claude, ChatGPT, Gemini, and Grok.

A representative quote per model

The actual line each assistant gave, so you can read the answer the way a customer would.

Recurring themes

The points the models keep returning to about you and your competitors, the reasons behind the share split.

Cited sources

The web pages each model leaned on to build its answer, so you know what to influence.

See a full example on the sample report, and read how the scoring works in the FAQ.

How is this different from sentiment monitoring?

They answer two different questions, and Saidly reports both together. Share of voice asks "do the models name me, and how often versus competitors." Sentiment asks "when they do name me, are they positive or negative." You can have high share with poor sentiment (the models talk about you, but warn people off) or strong sentiment with low share (they like you when asked, but rarely bring you up). Tracking both is the point. If you want the sentiment side in depth, see AI brand sentiment.

Why track AI share of voice over time?

A single snapshot is a vanity number. The value is in the trend. The models reread the web, ground their answers on current pages, and update their training, so the names they list this month are not always the names they list next month. Tracking the trend tells you whether your last launch or PR push moved the needle, when a competitor starts showing up in answers where you used to stand alone, and whether a fix you made is sticking.

Saidly runs reports on a schedule you choose, monthly, weekly, or daily by plan, and you can run an on-demand report any time, for example right after a launch. You can set custom schedules and pause or reactivate whenever you want. Reports arrive in your inbox and stay in your dashboard.

How does Saidly compare on coverage and price?

Plenty of tools measure AI visibility. Saidly's honest edges are that it names all four flagship consumer assistants, including Claude and Grok, at flat, fully public, low prices, and that it tracks people, organizations, and campaigns, not just websites. The table below is public pricing as of June 2026; check each vendor's site for the latest.

Saidly's public plans are Starter $2.99/mo, Pro $13.99/mo, Business $49.99/mo, plus a custom Enterprise tier. Pro and Business also add advanced lenses: "model-only" (what a model believes without the web) and "compare" (the gap between the live web and the model's built-in view).

Who uses share-of-voice tracking?

Anyone whose category gets queried in an AI assistant. Saidly tracks any named entity, so this works for companies and products, for founders and execs, for organizations and non-profits, and for political campaigns and topics. If buyers, voters, or reporters ask an AI "who are the options here," share of voice tells you whether you are in the answer.