AI Visibility Platform
Influence how AI
recommends your brand
Measure, shape, and verify what ChatGPT, Claude, Perplexity, and Gemini say when buyers ask about your category.
Free analysis, no credit card required. Prefer a walkthrough? Book a demo
Trusted by teams winning AI visibility


Your buyers already ask AI.
What does it say about you?
Three ways brands lose pipeline to AI without ever knowing it.
Here are the top options:
Invisible
AI recommends competitors and leaves you out entirely. Prospects never know you exist.
Misrepresented
AI gets your positioning, features, or pricing wrong, sending the wrong message to buyers.
Unmeasured
No visibility into which prompts mention you, how you're framed, or where you're losing ground.
How AirPulse Works
Define
Set your brand context and target audience.
Discover
See how AI engines describe you today.
Identify
Find the prompts where you're missing.
Act
Generate content that fills visibility gaps.
Compound
Track gains and widen your lead over time.
One Platform. Three Layers.
Everything you need to measure, act, and maintain your AI visibility, in one place.
See where you stand in AI conversations
Track how AI engines mention, describe, and recommend your brand across every model, every prompt, every day.
Close the gaps before competitors do
Turn every visibility gap into a prioritized action: audience targeting, content briefs, and opportunity alerts.
Control your brand narrative across every AI engine
Give AI engines the canonical version of your brand, so they always recommend you accurately.
Frequently asked
What is AirPulse?
- What is AirPulse?
- AirPulse is an AI Visibility platform, also called a Generative Engine Optimization (GEO) platform, for B2B SaaS companies. It measures how ChatGPT, Claude, Perplexity, Gemini, and Copilot describe your brand across the prompts your buyers actually use, identifies where competitors win and you are missing, and helps you publish the content and structured data that change those answers.
- Which AI engines does AirPulse cover?
- AirPulse tracks brand presence across ChatGPT, Claude, Perplexity, Gemini, and Copilot. Per-engine breakdowns show where each assistant differs in how it describes your brand and which sources it cites.
- Who is AirPulse for?
- AirPulse is built for mid-market B2B SaaS, financial services, professional services, and manufacturing teams. Its primary users are marketing leaders, content teams, growth and demand-gen teams, and SEO / technical teams extending their craft to AI answer engines.
- How is AirPulse different from a traditional SEO tool?
- SEO tools optimise for ranked link results. AirPulse optimises for AI selection: whether a brand is cited, recommended, and accurately described inside AI-generated answers. The two are complementary; AI Visibility is a new measurement and optimization layer on top of existing SEO investment.
- Who built AirPulse?
- AirPulse is built by the team behind Airmeet, the events platform serving thousands of B2B brands. The same engineering and security practices that power Airmeet apply to AirPulse, including SOC 2 Type II compliance.
What You'll Measure
The four numbers every B2B marketing team should track.
AI Visibility Score
How frequently AI engines recommend your brand when prospects search your category.
Mention Quality
Whether AI positions you as a leader, an alternative, or an afterthought.
Share of Voice
Your influence relative to competitors across the same AI-driven conversations.
Missed Opportunities
High-intent prompts where competitors get recommended and you're invisible.
Stop reacting. Start influencing.
Your competitors are already shaping their AI narrative. The longer you wait, the harder it gets to catch up.
Get DemoLatest Insights
Analytics Pipelines in AI Infrastructure: Transforming Raw Data into Continuous Intelligence
June 15, 2026
Learn how AI analytics pipelines transform raw data into continuous intelligence, and explore the stages, challenges, and infrastructure behind them at scale.
How Geo Search Impacts Customer Acquisition: Learn how geo search helps identify high-intent markets, reduce CAC, and improve customer acquisition strategies.
Learn how to implement geo-tagging for content marketing efficiently. A guide on location signals schema markup and local SEO content visibility in 2026.
Feedback Loops in AI Infrastructure: Enabling Continuous Learning and Model Optimization
June 9, 2026
AI infrastructure has moved beyond the regular process of training models once and deploying them. That phase is long gone. AI systems need to keep learning even after deployment. And that’s where feedback loops have become critical. Organizations spend months building sophisticated AI models only to watch their performance decline quietly after launch. The real [...]
There are three things you have to get right to be visible to AI engines: structured data that tells the model who you are, brand authority across the third-party surface AI engines pull from, and canonical entity naming so your mentions do not fragment.
