AirOps Launches Quill AI Agent for AI Search Content Optimization

AirOps announced Quill on May 13, 2026, positioning it as an AI agent designed to help brands maintain visibility in generative AI search engines. The platform monitors, creates, refreshes, and optimizes content so companies increase their presence in AI-generated responses rather than traditional search rankings.

Early customers are reporting substantial gains. According to the company's official announcement, clients like Parallel and Asana are seeing increases in AI search citations as high as 165%, with competitive share of voice lifts approaching 50%. That's the kind of compounding work agents were built for (though whether it translates to actual revenue remains the real question).

The Business Wire press release details Quill's core functionality. The agent connects to external data sources including Gong, Intercom, Webflow, and Monday, along with any tool available through MCP. It ingests customer insights, identifies content gaps, and determines which pages have gone stale.

Quill scans third-party sites for outdated or incorrect citations to check for brand inconsistencies both onsite and on external sources that heavily influence AI search results. To ensure content quality, Quill pulls directly from a customer's Brand Kit within AirOps. This gives it the necessary writing rules, business guidance, and brand context to create content that both humans and AI search engines find valuable.

Customers retain control through a human-in-the-loop system. Quill flags any actions it's taking for final human review before publishing. This matters because search algorithms are increasingly penalizing what platforms describe as "scaled abuse" and low-quality AI-generated content. The physical reality here is that marketing teams still need to click approve buttons and review drafts before anything goes live.

SiliconANGLE's coverage provides additional context on the market shift. The platform currently tracks eight AI engines, including OpenAI's ChatGPT, Anthropic's Claude, Perplexity AI, Amazon's Rufus, and Google's AI Mode. Some researchers have forecast that AI search will overtake Google search by 2030.

AirOps co-founder and CEO Alex Halliday explained the strategic pivot. "Content is no longer an ad-hoc, project-based discipline, it's a continuous system that has to run at the pace of AI." The company started with a ChatGPT-only focus but "got pulled more and more in that direction of becoming an AEO platform." That's now their sole focus.

The customer onboarding process incorporates training on company-specific material such as videos, transcripts, prior writing, and proprietary information to help Quill generate more distinctive content. Halliday said the company has collected over 2.5 billion AI search responses to study citation patterns and understand how generative engines evaluate freshness, authority, and writing structure.

One of Quill's most distinctive features is its ability to monitor how brands appear in AI-generated responses and alert customers when citation share declines. If the system notices that a brand is starting to lose ChatGPT citation share for a specific topic, it can ping the right people internally to have them either create content or update existing material.

While acknowledging that about 75% of good AEO tactics are basically the same as SEO, Halliday noted that generative AI introduces new dynamics. "In SEO, people used to fight over short-form phrases," he said. "Now the average length of a search query is much longer, and that pushes them into the long tail." Content is 3x more likely to get cited if it's less than 3 months old.

Quill will be available to existing AirOps customers at no additional cost starting May 13. The company has raised approximately $57 million to date and currently employs 140 people, a figure Halliday said could grow to more than 200 by year-end. The AirOps website outlines the full platform capabilities including visibility dashboards, competitor intelligence, and share of voice tracking across every AI search platform.

The shift from traditional search engine optimization to what's increasingly being called "AI engine optimization" represents a fundamental change in how brands compete for attention. Rather than focusing exclusively on search rankings and inbound traffic, AEO aims to improve brand visibility in AI-generated responses where users may never click through to a company website.

Whether this translates to sustainable competitive advantage or just another layer of tooling complexity remains to be seen. Marketing teams will still need to understand what they're approving, and the algorithms themselves keep changing. At the end of the day, you can't automate your way out of actually having something worth saying.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn