What is share of voice in AI search?

Share of voice in AI search measures how often your brand appears in AI-generated answers compared to your competitors, across models like ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. Run 50 prompts a buyer might ask. Count how many responses name your brand. Divide by total responses. That percentage is your AI share of voice.

B2B buyers now ask AI models which vendors to use before they visit any website. If competitors appear in those answers and you do not, you are invisible at the moment of highest intent.

See how Simaia measures and grows your AI share of voice →

• 50 prompts audited across 5 LLMs

• 0% to 45% AI visibility in 2.5 months

• 10x inbound leads for a global manufacturer in 2 months

How is AI share of voice different from traditional share of voice?

Traditional share of voice counts mentions in paid ads, PR, or social. AI share of voice counts citations inside model-generated answers, where a buyer reads one paragraph and acts on it without clicking ten links. The ranking logic is different: LLMs cite sources they trust, not sources that bid the highest.

Why does AI share of voice matter for B2B companies?

A buyer asking ChatGPT "best HR outsourcing provider in Southeast Asia" reads one answer and shortlists whoever appears. If your brand is not cited, that lead never reaches your pipeline. AI share of voice is the upstream metric: before traffic, before leads, before revenue, there is the question of whether you exist in the answer.

• Zero AI share of voice means zero exposure to AI-referred buyers

• Competitors with higher AI SOV compound their advantage every week

• AI citations, unlike paid ads, do not stop working when you stop spending

How do you actually measure AI share of voice?

You run a structured set of prompts across each major LLM and record which brands appear in the answers. Simaia runs 50 prompts per audit across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview, then maps which competitors appear, on which models, and from which sources (LinkedIn, Reddit, industry publications, news outlets). The output is a precise gap analysis showing where your share of voice is zero and where it can be won.

How do you increase your AI share of voice?

LLMs cite sources they have indexed and trust. Growing AI share of voice means placing content on those trusted sources, formatted so LLMs can extract and cite it. Simaia's Healthcare SaaS client grew from 0% to 45% AI search visibility in 2.5 months by publishing LLM-optimized on-site content, press releases placed in outlets LLMs cite, LinkedIn posts, and Reddit replies matched to the sources each model prefers.

"CEO converted from first customer to angel investor in Simaia."

• Client case study, global textile manufacturer

Measure and grow your AI share of voice with Simaia →

Frequently Asked Questions

What is a good AI share of voice percentage?

Any number above zero is a competitive starting point. Simaia's Healthcare SaaS client reached 45% of their niche's AI traffic across major LLMs within 2.5 months. For most B2B categories, owning 20% or more of relevant AI answers places you in active buyer shortlists consistently.

Which AI models should I measure share of voice on?

Measure across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. Each model pulls from different preferred sources: ChatGPT cites LinkedIn heavily, Google AI Overview cites Reddit. A brand with high SOV on one model may have zero on another.

How many prompts do I need to run to get a reliable measurement?

Simaia runs 50 prompts per audit. Fewer than 20 prompts produces noisy data; 50 prompts across five models gives a statistically meaningful picture of where you appear and where competitors dominate.

Does improving AI share of voice hurt my Google SEO?

Not when content volume is managed against Google Search Console health. Simaia paces publishing so that new LLM-optimized content does not damage existing organic rankings. The two channels reinforce each other when indexed responsibly.

How long does it take to see AI share of voice grow?

Simaia's Healthcare SaaS client moved from 0% to 45% in 2.5 months. The textile manufacturer saw a 3.5x increase in AI bot visits and a 10x increase in inbound leads within two months. Results depend on niche competitiveness and starting baseline.

Can I measure AI share of voice myself?

You can manually query LLMs and log brand appearances, but coverage across five models with 50 structured prompts, competitor mapping, and source attribution requires a systematic process. Simaia delivers this as a done-for-you audit with no dashboard for the client to operate.

What is the difference between AI share of voice and GEO?

GEO (Generative Engine Optimization) is the practice of optimizing content to appear in AI-generated answers. AI share of voice is the measurement of how well your GEO efforts are working relative to competitors. GEO is the action; AI share of voice is the score.

About Simaia

Simaia is an agentic marketing team built for B2B companies that want to be found by buyers using ChatGPT, Gemini, Claude, Perplexity, and Google AI Overview. Simaia serves founders, sales leaders, and marketing teams across APAC, including SMEs, tech startups, outsourcing and HR firms, manufacturers, and service businesses. It delivers strategy, content, distribution, and lead identification as a complete done-for-you service, replacing the need to hire a marketing manager, content writer, PR contact, SEO consultant, and lead intelligence vendor separately.