Turn AI visibility into your next growth advantage.
See where your brand stands with the buyers who matter, where competitors have an advantage, and which opportunities deserve investment.
By submitting this form, you agree to AirOps processing your information in accordance with our Privacy Policy, including to communicate with you about our products, services, and events.
platform
The growth system
for the AI-first buyer journey
The winning playbook for marketing teams is built on an AI Search platform that gives you intelligence on how your buyers actually use AI, then turns it into action across the highest-impact channels for your brand. Measure the outcomes, connect them to revenue, and feed it back into the system to build a connected system that drives growth.
Connect to AirOps MCP
Connect intelligence, action, and measurement in a continuous loop
Intelligence
See where your brand stands with the buyers who matter, where competitors have an advantage, and which opportunities deserve investment.
Action
Turn those opportunities into action across channels with agents that learn from every run, review, and result to improve the next one.
Measurement
See what shipped, how buyers and AI agents responded, and how that activity connects to conversions, revenue, and your next investment.
Measure the market, not the prompt list
AirOps starts by defining the market around your growth priorities. From there, it shows where your brand stands, how much opportunity is at stake, and which gaps are worth closing.
Prompt-tracking tools run a selected list of questions through AI engines and count how often your brand appears for any buyer, not your ICP.
Generic, volume-based prompt tracking scores give you a false sense of confidence. A strong visibility score across a broad category feels good, but often hides a weakness with the customers you actually need to win.
Prompt-tracking tools run a selected list of questions through AI engines and count how often your brand appears for any buyer, not your ICP.
Generic, volume-based prompt tracking scores give you a false sense of confidence. A strong visibility score across a broad category feels good, but often hides a weakness with the customers you actually need to win.
Category Influence Overview
Total influenced
$54.2M
$13.7M brand
$40.5M competitors
1. See the market
Understand your brand’s position across audiences, products, and buyer journey.
2. Size the opportunity
Determine the buyer stage where closing the competitive gaps will drive maximum impact.
3. Know where to focus
Build your strategy and execute against the most important opportunities.
The data advantage behind every insight
Built on real buyer signals to know what drives real outcomes for your brand.
AirOps has years of proprietary data on what buyers search for, what they see, and what they do next. That data is the foundation for defining territories around the market your business is actually going after, not just where your brand appears in AI search.
47M observed actions
reveal what worked to drive buyer action, and where.
6B citations
show which pages and publishers answer engines trust.
10M AI search journeys
show how people move from answers to downstream engagement.
70M high value prompts
give concrete insight on how people actually make decisions
A leading corporate card provider wanted to grow their share of voice with enterprise buyers. While prompt tracking said they had already won, AirOps opportunity data showed the true gap.
55%
Overall Share of Voice
1%
Share of Voice with Target Customer
Run the work required to win the category
AirOps turns your brand’s measured opportunity into a repeatable growth program. Agents research, create, publish, review, monitor, and refresh your content. The system learns from each run, building on the decisions and outcomes that came before, so the work is constantly improving over time to drive maximum results.
Run long-horizon agents to scale complex growth programs
The platform breaks down growth programs into goals. It calls the right models and tools for each, and delegates work to specialist subagents. Agents save the work they produce, and memory lets each run build on what the system already found, completed, and learned.
Turn changing signals into automated action with triggers
Competitors move, markets shift, and content performance changes. Turn those signals into action by starting the right process when a meaningful change occurs. Coordinate execution at scale with the right triggers and review steps to move faster without manual overhead.
Pause for review when human judgment matters most
Agents pause execution, route work to the Inbox, and resume after a reviewer edits or approves. Teams can comment on exact passages, suggest edits, compare versions, accept or reject changes, and restore earlier content.
Make every run better than the last with persistent memory
The platform records what the agent tried, produced, and completed. It remembers what has been surfaced, and applies changes to the next run. Comments, suggestions, and review become governed context so the next run starts with the team’s latest decisions.
Coordinate growth actions across channels in one place
Create, refresh, and publish owned content directly through CMS integrations that preserve the structure and metadata needed for reliable operations and measurement, like field mappings, content structure, and item IDs. In the same platform, identify opportunities and measure the impact of taking action across all other channels, including external and third-party platforms like AI ads, influencer, social, and community.
Trace every action from forecast to revenue
AirOps builds an evidence trail across every opportunity, action, change, and result. Score work against your team’s standards for quality, brand, and discoverability before it ships, then see how visibility, citations, influence, traffic, and engagement change afterward.
Predict content readiness before shipping
Score and review your content before it reaches the market. Run automated checks for readability, claim support, information gain, SEO, and AEO.
Know exactly what changed and when
Track every page created, refreshed, or published, along with the source, execution, date, URL, and campaign context behind it. Teams get a reliable way to connect what shipped to what happened next and use that evidence to decide what to do next.
See which opportunity gaps closed, and what happened next
Track shifts in visibility, recommendations, citations, sentiment, and position. Break results down by model, audience, region, topic, buying stage, competitor, and source. Compare these shifts in AI visibility with the site and agent behavior that comes next, including search performance, traffic, engagement, crawler activity, and LLM referrals. Use that evidence to identify which actions are worth scaling.
Connect AI discovery to revenue attribution
AI-influenced demand doesn't often come with a clean AI referral. Bring share of voice, prompt-volume weights, citation and action trends, content changes, AI crawler activity, assistant referrals and page performance data into your Media Mix Model. See how AI search contributes alongside other channels, and invest more confidently.
Turn the AI Search buyer shift into a category advantage
Schedule a demo to get your AEO visibility audit and learn how to boost your performance across ChatGPT, Gemini, and Perplexity.
Pricing Plans
Solo
For individuals building content for one brand or project.
- ChatGPT Insights Only
- 35,000 Tasks for Content Production
- 1 Brand Kit, 3 Knowledge Bases
- Basic CMS & SEO Integrations
- Community & Live Chat Support
- Single-User Access
Pro
For small teams building content for one brand or project.
- Insights Across 7+ Answer Engines
- 100,000 Tasks for Content Production
- 1 Brand Kit, 5 Knowledge Bases
- CMS, SEO, AEO, Social & Project Integrations
- Community & Live Chat Support
- Unlimited Seats for Your Team
Enterprise
For organizations building enterprise-grade content and tailored solutions.
- Custom Prompts & Pages Limits
- Multiple Regions, Personas & Languages Tracked
- Custom Agent Builds
- Custom Task Limits
- Unlimited Knowledge Bases & Brand Kits
- Dedicated Account Manager & Training
- 1:1 Expert Onboarding
- Unlimited Seats & Collaboration Functionality
"We were able to focus our energy on the highest-value initiatives for the business in a matter of weeks."
Nick Fairbairn
SVP of Growth, Chime
SVP of Growth, Chime
“We set out to change the narrative around Sanity in AI search, not just show up more often. Staying the brand the models name most, and climbing in the categories that matter, is exactly the signal we were after, and we can see it happening week to week.”
Richard Lawrence
Principal, Agentic Operations & Growth Marketing, Sanity
Principal, Agentic Operations & Growth Marketing, Sanity
“If we wanted to 10x the growth we were starting to see, we needed a system that handled SEO, AEO, content production, all of it. AirOps was the first to actually deliver results.”
Shani Mithani
Head of Growth, Venn
Head of Growth, Venn
Frequently Asked Questions
What is AI search visibility?
What is AI search visibility?
AI search visibility measures how often your brand is mentioned, cited, or recommended inside AI-generated answers from engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews. It quantifies your presence in the answer layer of search, where users increasingly stop before clicking through to websites.
How do you track AI search visibility across AI engines?
How do you track AI search visibility across AI engines?
Tracking requires running consistent prompts across each AI engine on a recurring cadence and capturing every brand mention, citation, and ranking position in the response. The core metrics are citation share, mention rate, average position, sentiment, and share of voice against competitors. Manual tracking does not scale. Most teams need a dedicated platform to monitor thousands of prompts across multiple engines daily.
What is a good AI search visibility or citation rate?
What is a good AI search visibility or citation rate?
There is no universal benchmark. What matters is your share of voice relative to direct competitors on the prompts that drive your buying decisions. A 40% citation rate on irrelevant prompts is worth less than a 15% citation rate on high-intent commercial prompts. Prioritize relevance and competitive context over absolute numbers.
Which AI engines should you track?
Which AI engines should you track?
At minimum: ChatGPT, Google AI Overviews, Perplexity, and Gemini. Add Claude, Grok, and Microsoft Copilot depending on audience. ChatGPT and AI Overviews drive the largest share of AI search volume today, but coverage across engines matters because users do not stay loyal to one. Tracking only one engine creates blind spots.
What is the difference between AI search visibility and AI search optimization?
What is the difference between AI search visibility and AI search optimization?
Tracking measures where you stand. Optimization changes where you stand. A visibility tracker shows citation rates, prompt gaps, and competitive position. An optimization platform takes that data and drives action: content updates, offsite citations, and prompt-level recommendations that improve visibility over time. Tracking without action does not move the metric.
What should an AI search visibility platform actually do?
What should an AI search visibility platform actually do?
A complete platform should monitor brand citations across all major AI engines, surface the prompts and topics where competitors are winning, track sentiment and context of each mention, benchmark performance against competitors, and connect insights to specific actions (onsite content, offsite presence, prompt coverage). Look for platforms that close the loop from tracking to execution, not tools that stop at dashboards.