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 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.

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.

AirOps is the partner behind your brand's AI search strategy, from the first move to the last mile

Systems

Turn your brand’s opportunities into results on the AirOps platform
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Strategy

Bring on a team of experts to help you set and execute the right strategy
Work with us
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Channels

Invest in the channels that will drive maximum results for your brand
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Turn the AI-first buyer shift into a category advantage

Whether you’re starting from square one with AI discovery or ramping a successful program, our team will meet you where you are to drive results.

Frequently Asked Questions

What makes AirOps intelligence different from other prompt tracking tools?

AirOps defines the market around your specific growth priorities and the segment of the market that you most need to win, whereas most prompt tracking tools run a fixed list of questions and count how often your brand appears for any buyer, not your ICP.

The broad approach that most prompt tracking tools take produces a visibility score that can hide real weakness with the customers you actually need to win. AirOps instead shows you where you stand, how much opportunity is at stake, and which gaps are actually worth closing.

What is “offsite” action? Does AirOps place content on other websites for me?

AirOps identifies the third-party pages and publishers that influence your category and builds the case for placement, but your team reviews the rationale before we move forward with getting content placed.

What Offsite Action Includes

  • Identifying Opportunities: We identify the third-party pages and publishers that influence your category.
  • Building the Case: We build the case for placement there, with rationale for your team to review.
  • Coordinating Execution: We coordinate outreach, copy, and publishing through your own contacts and relationships.
  • Measuring Impact: We measure the visibility lift once a placement goes live.

Why aren’t high visibility and mention scores a sufficient way to track AI search success?

High visibility isn't enough on its own, because a strong score across a broad category can hide real weakness with the customers you actually need to win.

Why It Falls Short

  • Broad Visibility Can Mislead: A strong visibility score across a broad category can feel reassuring, but it often hides a weakness with the customers you actually need to win.
  • AirOps Measures What Matters: We measure the market you're actually competing in, including your specific audiences, products, and buying moments. This helps you can determine where visibility matters and where it’s just noise.

Is there a meaningful difference between SEO content and content optimized for AI answer engines (AEO)?

Yes, there is a meaningful difference between SEO content and content optimized for AI answer engines (AEO). The main difference is shifting the focus from ranking in a list of links to being cited, summarized, or recommended directly inside an AI-generated answer.

Core Differences

  • Goal:
    • SEO: Built around ranking in a list of links.
    • AEO: Built around being cited, summarized, or recommended directly inside an AI-generated answer.
  • Signals: AEO relies on different signals than SEO, including claim support, information gain, and third-party trust.
  • AirOps' Approach: AirOps' content checks score for both, so your content is built to perform across search and AI answer engines rather than optimized for one at the expense of the other.