Turn AI search into your next growth advantage.

 Build the strategy, systems, and channel presence you need to win in AI search.
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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.
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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.
Intelligence
Action
Measurement

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.
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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.
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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 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
Nick Fairbain

“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 is AI Search Optimization?

AI Search Optimization is the practice of optimizing content so AI engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews surface, cite, and recommend your brand in generated answers. Unlike traditional SEO, which targets ranked links, AI Search Optimization targets inclusion inside the answer itself.

How is AI Search Optimization different from SEO?

SEO optimizes for ranking on search engine results pages. AI Search Optimization optimizes for citation and mention inside AI-generated responses. SEO drives clicks from a list of links. AI Search Optimization drives visibility inside the answer, where users increasingly stop before clicking. Both matter, but the surfaces, signals, and success metrics are different.

Why does AI Search Optimization matter now?

AI engines are intercepting search demand before it reaches your website. 85% of AI-driven brand discovery happens offsite, inside ChatGPT, Perplexity, Gemini, and AI Overviews. If your brand is not cited in those answers, you are invisible to a growing share of high-intent buyers, regardless of your Google rankings.

How do AI engines decide which brands to cite?

AI engines prioritize content that is structured, factually dense, frequently referenced across the web, and recently updated (within roughly 3 months). Citations are also driven by offsite signals: third-party mentions, review sites, community discussions, and authoritative coverage. Onsite optimization alone is not enough.

What does an AI Search Optimization strategy actually include?

A complete AI Search Optimization strategy covers four areas: tracking brand visibility and citations across AI engines, identifying the prompts and topics where you are missing, optimizing onsite content for AI retrieval, and building offsite presence on the sources AI engines pull from. Tracking without action does not move the metric.

How do you measure AI Search Optimization performance?

The core metrics are citation share (how often your brand is cited vs. competitors), mention rate (frequency of brand inclusion in answers), share of voice across AI engines, and sentiment of those mentions. Leading indicators include prompt coverage and offsite citation volume on sources AI engines reference.

What should an AI Search Optimization tool actually do?

A complete platform should cover four functions: track brand citations and share of voice across AI engines (ChatGPT, Gemini, Perplexity, AI Overviews), identify prompt and topic gaps where competitors are winning, recommend onsite content optimizations for AI retrieval, and surface offsite citation opportunities. Tracking-only tools show you the problem but cannot close the gap. Look for platforms that move from insights to action.

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