Enterprise AI brand monitoring for every brand and market.

AirOps runs enterprise AI brand monitoring with strategists and a platform that track mentions, citations, and share of voice by country and persona.
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AI brand monitoring run with your team

AirOps gives marketing leaders the strategy, systems, and channel presence to win AI search. Strategists and channel experts work in the platform with your brand context and data, and your team reviews and controls what ships.
AirOps Analytics view with mention rate, share of voice and average position for a sample brand.
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Intelligence, action, and measurement for every brand

Intelligence

The team maps the prompts, sources, and competitors that shape your AI visibility in each of your markets.

Action

Strategists plan the channel mix and run the work on the platform, and your reviewers approve each piece first.

Measurement

Every action ties back to mention rate, citations, share of voice, and sentiment, and results set the next round.

Where monitoring starts for each brand

Monitoring begins with the market you compete in. The team defines that market around your growth priorities, then shows where each brand stands with the personas and countries you sell to.
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Your sales team wants to know why AI answers leave the brand out. Results break down by model, audience, region, topic, buying stage, competitor, and source, so you see how often AI answers name your brands next to their competitors.
AirOps Domain Type Breakdown showing the domain types cited in AI answers, led by products at 65% and social at 8%.

The data behind each brand's visibility

Choose the prompts, pages, and sources worth acting on first
The team reads that data to pick the prompts to track for each brand, the pages to build or refresh, and the third-party sources to earn a place on. The monitoring then follows the buyers who matter most.

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

What our enterprise AI brand monitoring includes

Strategists and channel experts run the program with your team on the platform. They plan prompts and markets, build the Playbooks that do the work, and route drafts to your reviewers. Your team gets a full program for this channel, even with a small SEO staff.
AirOps workflow editor with a blog refresh playbook and a model picker.

Agents that research and draft for every brand

The team builds Playbooks and Workflows that break the program into goals, call the right models and tools for each, and save what they produce. Research, briefs, and refreshes then run across many pages and brands at once.
AirOps grid with workflow triggers for schedule, webhook, monitor and insight changes.

Programs that start when AI answers change

Each monitoring process that works becomes a Playbook. A schedule, a webhook, a monitor, or an AEO Insight trigger starts it when a brand's AI visibility shifts, and review steps stay built in.
AirOps content editor with suggested edits and reviewer comments on a draft.

Approval control for every brand you run

At each review checkpoint, agents pause and each brand's drafts go to the Inbox. Assigned reviewers comment, compare versions, and approve. Version history keeps every change, so each brand's work stays under your control.
AirOps content rule suggestion with Reply, Dismiss and Accept buttons.

Brand context that carries across every run

Each run records what it tried and produced. Your reviewers' comments and edits then become context for the next run, with each brand's Brand Kit and your Knowledge Bases, so each run starts from your team's latest decisions.
AirOps citations table listing domains with brand mention and sentiment columns.

Owned and third-party channels in one plan

The team builds, updates, and publishes owned content in your CMS. In the same platform it finds opportunities and measures AI visibility across external content, AI ads, influencer, social, and community.

How we measure each brand's AI presence

Results for every brand sit in one evidence trail that links each opportunity, release, and result. Mention rate, citations, and share of voice are read against the action that came before them, for each brand, country, and persona.
AirOps Content Review score of 88 out of 100 beside a checklist of fixes.

Score each page before it ships

Content Review scores each new page and refresh for AI discoverability and brand adherence against its Brand Kit, then lists suggestions. Nothing is saved until a reviewer approves the changes.
AirOps brand kit refresh run with details for status, version and runtime.

Know what changed on each site and when

Every publish and refresh is recorded with its date and source, and regional Brand Kits on one domain each get their own record. The team compares AI visibility and clicks with the change that came before.
AirOps Analytics overview with mention rate, share of voice and citation rate cards.

See share of voice against named competitors

The platform compares citations, mentions, and share of voice before and after each action, by prompt and topic. Sentiment themes and creator citations show which voices shape how AI describes your category.
AirOps prompt tracking view with mention rate by brand for a tracked prompt.

AI visibility reporting for enterprise brands

Reporting brings share of voice, citation and action trends, AI crawler activity, and assistant referrals into your Media Mix Model, so leadership sees AI search next to other channels.

Get a monitoring plan for every brand and market

Your plan covers where each brand stands in AI answers today, which buyers matter most, and which channel to start with.
Work with us

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
Start for free

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
Start for free

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
Work with us

“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

“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

Frequently Asked Questions

What does enterprise AI brand monitoring include?

Enterprise AI brand monitoring includes tracked prompts, mention rate, citations, share of voice, and sentiment for each brand, filtered by AI provider, country, and buyer persona. AirOps adds strategists who plan the channel work across owned pages and placements in the third-party sources agents trust. Platform and services come as one engagement, and its depth is agreed with the team.

Which enterprise AI visibility services monitor several brands and regions at once?

AirOps covers several brands and regions in one program. Each brand gets its own Brand Kit, regional variants on one domain get separate records, and results filter by country and persona. Strategists set one plan across the portfolio, and your reviewers approve the work for each brand.

Which enterprise AI visibility services report share of voice against named competitors?

AirOps reports share of voice, your share of mentions in AI responses, against the competitors you define. Results break down by model, topic, buying stage, and source, and campaign views compare share of voice before and after each action. The team uses those gaps to choose the prompts and pages to work on next.

Which agencies run a competitive AI visibility audit for an enterprise brand?

Agencies, analytics vendors, and platform teams with in-house strategists all offer a competitive AI visibility audit for an enterprise brand. Look for one that covers every brand and country you sell in and names the sources AI cites for each. AirOps runs the audit with its strategists on the platform, then turns the gaps into a channel plan your team approves.

What should enterprise brands look for in AI search visibility solutions?

Look for tracking across several AI providers, filters by country and persona, and results tied to the actions before them. Approval control matters too, with reviewer assignment, version history, and Brand Kit governance. AirOps pairs those with a team of strategists, and the depth of the engagement is agreed in a conversation with that team.

How do enterprise brands measure their presence in AI search recommendations?

With AirOps, enterprise brands measure it through mention rate, prompt citation rate, page citation rate, share of voice, and sentiment across tracked prompts. Content updates share the same timeline, so the team reads each result against the action before it. Google Search Console and Google Analytics data sit next to AI results when those sources are connected.