AirOps

Operator's take

The bet AirOps has made is that the fight for organic traffic has shifted arenas. Google still matters, but it's now one of several AI engines recommending brands to buyers — and most marketing teams have no idea where they stand on ChatGPT, Perplexity, or Gemini. AirOps leads with that visibility gap: you see your citation share across engines, discover which questions you're missing from, and find out which third-party sources drive the recommendations you're not getting. Then their AI agent, Quill, does the execution — content refreshes, new pages, offsite placements — looping your team in at the right approval points.

The content-workflow heritage is still underneath it: brand guidelines, SEO/AEO data integrations (10+ data providers, including Google Search Console), human review stages, and batch operations for updating hundreds of pages still exist and are real. But they're now the execution layer for an AI-search strategy, not the product's primary pitch. For an SEO team already managing content at scale, AirOps is essentially adding a GEO layer — citation tracking and AI-search-specific content programs — on top of what they're already doing.

Where it's wrong for you: if your traffic problem is fundamentally about production volume on a small site, a simpler AI writer gets you there faster and cheaper. AirOps earns its keep when you have volume, existing content worth refreshing, and a genuine need to know how you're represented in AI search — not just Google rankings. Pricing is opaque in dollar terms: there is a free Insights tier and Solo/Pro plans publish task quotas (20K and 75K content-production tasks) with free entry, but no public prices, and only Enterprise is explicitly sales-led.

What it's good at

• AI search citation tracking — monitors your brand's share of voice across Google, ChatGPT, Perplexity, Gemini, and Claude so you know exactly where you're winning and where you're invisible; multi-engine tracking is gated to the Pro tier and above (Solo tracks ChatGPT only).
• Quill AI agent — an AI agent that takes your strategy brief, pulls in brand context, and drives content execution — surfacing opportunities and acting on them without a human at every step.
• Content refresh for AI search — content freshness is a major citation signal; AirOps automates keeping existing pages current on a schedule, including internal links and key-takeaway updates.
• Offsite visibility — tracks third-party sources that control your category and helps land placements on those sites; the platform claims up to 85% of AI visibility comes from content you don't own.
• Brand Kit enforcement — embed tone, voice, and style guidelines so every output reflects your brand across all workflows.
• SEO + AEO data integration — connects to 10+ data providers and a mix of CMS, SEO, AEO, social, and project integrations (Google Search Console among them); higher tiers add AEO-specific research. Specific provider brands beyond Search Console aren't named on the public pricing or product pages.
• Human-in-the-loop review — approval stages built into workflows so editors review at key checkpoints without breaking automation.

What it's not

• Not a one-click AI writer — setup requires mapping your data sources, defining brand guidelines, and tuning Quill to your strategy; expect real configuration time before it pays off.
• Not built for individual freelancers or small blogs — Solo plan exists for light use, but the platform's real value is at team scale with existing content and AI-search visibility goals; solo creators will hit the ceiling fast.
• No public dollar figures — the free Insights tier ($0/mo), Solo, and Pro plans all publish task quotas and feature lists (Solo: 20K content-production tasks; Pro: 75K tasks, unlimited seats), but no prices are shown; only Enterprise is explicitly sales-led ("Talk to Sales").
• Not a general-purpose automation tool — it's built specifically for AI search and content marketing workflows; don't reach for it to automate ops or data pipelines.