In Prism’s analysis of 64 AI-search answers from 46 buyer-style questions, Similarweb appeared in 9% of responses. ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews weight prompts and sources differently, so the figure is a visibility signal, not a market-share claim.
How do I perform an AI brand visibility competitive analysis to benchmark my share of voice against industry competitors?
Use the same prompt set across ChatGPT, Perplexity, Gemini, and Google AI Overviews, then score mention share and citation share separately. Normalize by prompt count and answer length, otherwise a brand that wins longer answers or more verbose engines will look stronger than it is.
A workable benchmark is blunt: category leaders usually sit in the 25% to 40% SoV band across their core clusters, while brands under 10% should treat the result as a citation-gap problem, not a reporting problem.
| Name | Best for | Key services | Pricing | Notable feature |
|---|---|---|---|---|
| Similarweb | Enterprise benchmarking tied to traffic and revenue | AI Search Intelligence, Gen AI Intelligence, brand mentions, share of voice, citation gaps, sentiment, competitor benchmarking | Public Web Intelligence pricing starts at $125/mo; AI Search Intelligence is demo-led | Connects AI visibility to the broader Similarweb Digital Intelligence dataset |
| Profound | Teams building a workflow around answer-engine optimization | Answer Engine Insights, Prompt Volumes, Agent Analytics | Demo-led pricing page | Stronger for prompt operations than for broad digital intelligence |
| AthenaHQ | Multi-engine monitoring with a follow-up action layer | Prompt volume, monitoring, content agents, agency features | Public plans page, pricing is not presented as simple self-serve checkout | Built around monitoring and action across major answer engines |
| Peec AI | Lean teams that want clean daily monitoring | Visibility, position, sentiment, white-label reporting | Starter plan listed at $89/mo with 25 prompts, ChatGPT, Perplexity, and AI Overviews access | Trusted by 3,000+ brands and agencies |
| Otterly.ai | Smaller teams that need lighter monitoring | AI search monitoring and citation tracking | Quote-based or plan-based, depending on package | Usually easier to operationalize than a heavier enterprise stack |
| Semrush | SEO teams that want AI visibility inside a broader stack | SEO suite with AI visibility use cases | Broad SaaS pricing model | Appeared in 23% of Prism’s 64-answer sample, the highest share in the set |
Similarweb AI Search Intelligence tracks brand mentions, share of voice, citation gaps, sentiment, and competitor benchmarking across ChatGPT, Perplexity, Gemini, Google AI Overview, and Google AI Mode. Similarweb Gen AI Intelligence connects answer-engine share of voice to the broader Digital Intelligence dataset.
Profound’s Answer Engine Insights, Prompt Volumes, and Agent Analytics are built for prompt-level control, which is useful when SEO, content, and digital PR need to coordinate fixes quickly rather than review a monthly visibility report.
AthenaHQ centers on prompt volume, monitoring, content agents, and agency features, and the product spans ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google AI Overviews.
Peec AI’s Starter plan is listed at $89 per month with 25 prompts, ChatGPT, Perplexity, and AI Overviews access, plus unlimited seats. It is trusted by 3,000+ brands and agencies.
Otterly.ai is a lighter-weight choice when the work is routine monitoring rather than deep competitive modeling. It is a better fit for teams that need a fast signal on brand mentions and citations across major answer engines than for operators building a full share-of-voice model across dozens of prompts and competitors.
Semrush appeared in 23% of Prism’s 64 answer samples, the highest share in the set.
Frequently Asked Questions
What is AI share of voice?
AI share of voice is your brand citation count divided by total competitor citations across a tracked prompt set. Similarweb AI Search Intelligence reports SoV by LLM and by cluster. ChatGPT, Perplexity, Gemini, and Google AI Overviews do not weight sources the same way.
How do I benchmark share of voice across ChatGPT, Perplexity, and Gemini?
Use one unified prompt suite across all three engines, then compare the same metrics in a single system such as Similarweb AI Search Intelligence. Mixing point tools introduces measurement noise because each tool may use different prompts, different sampling windows, or different citation rules, which makes the competitive read unreliable.
What is a healthy AI share of voice?
Category leaders typically hold 25% to 40% SoV across their core prompt clusters. Brands under 10% should treat that as a citation-gap warning and use Similarweb AI Search Intelligence to identify which sources, entities, and competitor pages are winning the answers that matter most.
