AirOps
AirOps measures where your brand appears in AI answers, then runs the content workflows to win those citations.
AirOps is worth it if AI citations sit in your reporting and you need someone to ship the content that moves them. The Citation Lifecycle reporting and Query Fanouts give you a reason to act, and Playbooks, Workflows and Brand Kits give you a way. It is not worth it if you only want a score: Solo at $0/mo caps you at ChatGPT insights only with single-user access, so the multi-engine picture starts on Pro. Against a light AEO tracker you get real production muscle; against a traditional SEO suite you get a channel those suites still under-serve.
Verified 3d ago · liveness 87/100 · cite: rightaichoice.com/tools/airops
- Content and SEO teams at mid-market or enterprise brands tracking AI citations
- Marketing agencies producing content for many clients with brand governance needs
- Growth teams connecting AI search visibility to pipeline
- Enterprises tracking citations across regions, personas and languages
- Solo bloggers or small teams with no dedicated content capacity
- Teams wanting a fully automated pipeline with no human review step
- Brands that will not act on answer-engine analytics after seeing them
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip AirOps if you need multi-engine citation tracking but cannot commit a team to publishing and refreshing content — Solo's ChatGPT-only insights and single-user access will not get you there, and the analysis only pays off when someone acts on it.
Running past your monthly task allotment bills incrementally — on Solo that is $0.025 per additional task, so heavy content months cost more than the plan suggests.
Solo at $0/mo with 35,000 tasks and one seat is the cheapest way in, and Pro's 'Start for free' entry with 100,000 tasks plus unlimited seats beats most enterprise AEO trackers on seats. Traditional SEO suites bundle AI visibility into an existing contract, so if you already pay for one of those, compare the marginal cost before adding a second platform. Enterprise is custom-quoted.
In short
AirOps — AirOps measures where your brand appears in AI answers, then runs the content workflows to win those citations. Best for Content and SEO teams at mid-market or enterprise brands tracking AI citations, Marketing agencies producing content for many clients with brand governance needs, Growth teams connecting AI search visibility to pipeline. Free to use.
No head-to-head comparison for AirOps yet — the alternatives below are the closest matches we list.
What's new in AirOps
Checked 3 days agoAcross the latest 5 updates: 4 feature updates and 1 news mention.
Query Fanouts and Google AI Mode Ads
Query Fanouts shows the extra searches behind your tracked prompts, Ad Library extends to Google AI Mode ads, MCP tools expose content feedback and output review, and Claude Haiku 5.5 joins the model list.
Citation Lifecycle and Agent Analytics in Connected Assistants
Citation lifecycle metrics track a URL's first appearance, peak week, decline and confirmed half-life; Agent Analytics flows into AirOps MCP; GPT-6.1 Sol becomes the default in Prompt LLM Steps.
Ads Insights plus New OpenAI and Anthropic Models
An Ad Library gallery of observed ChatGPT ads launches alongside YouTube citation breakdowns by format, duration and channel size; GPT-6 Sol, GPT-6 Luna and Claude Opus 5.5 are added for Playbooks and Workflows.
Campaigns Updates, On-Demand Page Tracking, and Connected Content Reviews
Campaigns can be duplicated with their measurement structure intact, Copilot in the Workflow builder uses Claude Sonnet 5, and content review notifications can post to private Slack channels.
AirOps pairs platform with channel experts in company update
AirOps now offers its platform and data alongside a team of channel experts who set and execute AI search strategy with customers end to end.
What people actually say about AirOps — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
19 mentions across 4 sources (Hacker News, YouTube, Product Hunt, App Store), 13 more we could not attribute · researched Oct 12, 2026.
Weighted by the 32 posts each of 4 sources contributed.
- +Pairs AI citation tracking with actual content execution — most competitors stop at the data
- +Citation lifecycle reporting (first appearance, peak week, half-life) is genuinely novel for the AEO category
- +Named enterprise customers (Ramp, Chime, Carta, Rippling) add credible social proof for mid-market buyers
- +Multi-model support includes the latest Claude, GPT and Gemini variants for workflow flexibility
- +Integrations with Slack, WordPress, Webflow, HubSpot and Notion fit existing marketing stacks
- −Almost no independent 2026 community feedback beyond YouTube and creator-sponcon chatter
- −Task-based pricing is opaque — '100,000 tasks' is hard to translate into real monthly cost
- −Competitor commentary frames it as requiring an existing team, not a hands-off solution
- −YouTube review comments are dominated by creator plugs for RadarKit and Peec AI, not AirOps critique
- −App Store listings for a similarly-named AirOps show recurring sync and UI failures
- • Task-based billing: running large content workflows or refresh cycles rapidly consumes the 100k task allotment
- • The channel-expert service is sold separately — real strategy help costs extra
- • Pro tier requires sales contact; no self-serve pricing published
- • Multi-model LLM usage (Claude Opus, GPT-6 Sol, etc.) may carry pass-through costs depending on contract
Viability Score
How well maintained and how widely used is AirOps? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Brand citation tracking across 7+ answer engines including ChatGPT, Google AI Mode, Gemini and Perplexity
- Citation Lifecycle reporting: first appearance, peak week, rise, decline and confirmed half-life per URL
- Query Fanouts showing the additional searches ChatGPT runs behind tracked prompts
- Prompt share of voice by question, topic and platform
- Competitor share of voice and category leadership tracking
- AI Ads insights via Ad Library covering observed ChatGPT ads and Google AI Mode ads
- Offsite insights breaking down cited YouTube videos by format, duration, age, channel size and sponsorship
- Sentiment and theme analysis across answer-engine responses
- AirOps MCP tools for reading Artifact comments, running Playbooks and pulling Agent Analytics
- Quill AI agents for content creation and optimization
- Playbooks and Workflows with version history, review and approval routing
- Campaign duplication with measurement structure preserved
- Page360 living-page optimization with on-demand page captures
- Prompt Discovery for a governed, versioned prompt library
- Brand Kits and Knowledge Bases for brand governance
About AirOps
AirOps is a platform for marketing, SEO and content teams whose buyers now finish their research inside a single AI answer. The home page states the problem directly: the buyer journey used to unfold across touchpoints you could optimize one by one, and now it happens in a single AI recommendation. AirOps attacks that in two halves. The intelligence layer tracks your brand against competitors across 7+ answer engines, with prompt share of voice, sentiment and theme analysis, persona and region personalization, and offsite insights covering the YouTube videos and Reddit threads answer engines actually cite. The October 2026 release added Query Fanouts, which surface the additional searches ChatGPT runs while researching your tracked prompts, and Citation Lifecycle reporting showing when a URL first appeared, its peak week, its decline and confirmed half-life. Ad Library covers observed ChatGPT ads and, as of October 2026, Google AI Mode ads. The production layer is what separates AirOps from a pure tracker: Quill agents, Playbooks and Workflows, reusable Campaigns that can be duplicated with their measurement structure intact, Page360 living-page optimization with on-demand page captures, and Brand Kits with Knowledge Bases for governance. Model choice runs across GPT-6.1 Sol (the default in Prompt LLM Steps as of October 5, 2026), GPT-6 Sol, GPT-6 Luna, Claude Opus 5.5, Claude Sonnet 5 (the Copilot default) and Claude Haiku 5.5, plus Gemini Flash variants. Agent Analytics flows into the AirOps MCP, so teams can compare AI crawl activity against citations from inside Claude or Codex. Pricing is task-metered. Solo is $0/mo with ChatGPT insights only and 35,000 content-production tasks, Pro is free to start with insights across 7+ answer engines and 100,000 tasks plus unlimited seats, and Enterprise is custom. Both Solo and Pro are listed as 'Start for free', and a 14-day trial gives full access to Scale plan features without payment details.
Behind the Verdict
The honest read on AirOps is that it is two products welded together, and which half you need determines whether it pays off. The measurement half is genuinely specific. Prompt share of voice by question, topic and platform, competitor share of voice, sentiment and theme analysis, persona and region personalization, and offsite insights that break YouTube citations down by format, duration, age, channel size and sponsorship signals. Two features stand out. Citation Lifecycle, shipped October 5, 2026, tells you when a URL first appeared, its peak week, its rise, its fall from peak and its confirmed half-life — the difference between 'we lost citations' and 'this page peaked eight weeks ago and is dying'. Query Fanouts, shipped October 12, 2026, shows the additional searches ChatGPT runs while researching your tracked questions, which is where content gaps actually hide. Ad Library now spans observed ChatGPT ads and Google AI Mode ads, which matters if your category has started paying for placement — AirOps' own research reports 53% of fintech ChatGPT answers carrying an ad, up from near zero in April. The production half is real engineering, not prompt plumbing. Playbooks and Workflows run multi-step research, refresh and publish jobs with version history, content review, quality scores and human approval routing. Campaigns can be duplicated with measurement structure intact so a second region or product line starts from a working setup. Page360 does living-page optimization with on-demand change captures, so you can see what actually reached your site. Brand Kits and Knowledge Bases keep generation on-brand across teams. And the AirOps MCP connector lets you read Artifact comments, run Playbooks and pull Agent Analytics from Claude or Codex — crawl data next to citation data in the assistant your team already has open. The model roster is updated monthly and unusually broad: GPT-6.1 Sol, GPT-6 Sol, GPT-6 Luna, Claude Opus 5.5, Claude Sonnet 5 and Claude Haiku 5.5 all appear in changelog entries between September 21 and October 12, 2026. Copilot in the workflow builder defaults to Claude Sonnet 5. Where it bites: tasks are the currency, and the definition is narrow — only specific step types count, and the count depends on step type and data volume, so your monthly spend tracks content volume rather than headcount. Solo includes a single user and ChatGPT insights only, which is a thin slice of the analysis the product is known for. The pricing page also references 1,000 tasks/month and 10,000 tasks/month figures alongside the 35,000 and 100,000 allotments, and its FAQ still uses 'Scale' and 'Agency' plan names that do not appear in the tier table, so confirm your actual allotment in writing. The vendor also sells channel-expert services alongside the software, meaning part of the value on offer is a team, not a feature. Where it fits: mid-market and enterprise content teams with a publishing motion and someone accountable for AI visibility.
Researching AirOps? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas AirOps actually fits — and what changes day-one when you adopt it.
Pull Citation Lifecycle on the twenty pages with the steepest decline from peak, export the weekly chart and prompts to a Grid, then queue the worst three for a refresh Playbook with review routing to a private Slack channel.
Outcome: Refresh work is prioritized by measured citation half-life instead of guesswork, and reviewers approve from the channel they already use.
Set up competitor share of voice and prompt tracking, open Query Fanouts to see the extra searches ChatGPT runs on those prompts, and duplicate a Campaign to launch the same measurement for a second region.
Outcome: Content gaps surface as specific questions to answer, and the second market starts from a working setup rather than a blank workspace.
Give each client a Brand Kit and Knowledge Base, build Playbooks once, and read Artifact comments and Playbook output through AirOps MCP in Claude before approving changes.
Outcome: Brand governance holds across accounts and feedback lands on the right step without exporting anything.
Use Cases
- Find content gaps by reviewing the extra searches ChatGPT runs behind your tracked prompts.
- Decide which page to refresh first by comparing Citation Lifecycle half-life across URLs.
- Publish and refresh content continuously through Playbooks and Workflows with approval routing.
- Copy a Campaign to launch the same measurement setup for a new region or product line.
- Break down which YouTube formats and channel sizes AI answers cite for your topic.
- Compare observed ChatGPT and Google AI Mode ads against your own messaging.
- Pull Agent Analytics into Claude or Codex to find pages crawlers reach but rarely cite.
- Route content review notifications to a private Slack channel where reviewers already work.
Models Under the Hood
as of 2026-10-16
Limitations
- Tasks are the billing unit and the definition is narrow: only specific workflow step types count, and volume depends on both step type and the data processed, so cost tracks content output rather than seats.
- Solo is single-user with ChatGPT insights only, so the multi-engine view requires Pro.
- The pricing page references 1,000 tasks/month and 10,000 tasks/month alongside the 35,000 and 100,000 allotments, and its FAQ still names Scale and Agency plans that no longer appear in the tier table — confirm your allotment in writing before committing.
- Ad Library coverage reflects only the ads AirOps captures for your tracked prompts.
as of 2026-10-19
Verification history
We have re-verified AirOps 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published AirOps tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Solo
$0/mo
Ideal for
One person building content for a single brand or project who can live with ChatGPT-only insights while they test the workflow builder.
What this tier adds
Free entry point: ChatGPT insights only, 35,000 content-production tasks, 1 Brand Kit and 3 Knowledge Bases, single-user access, basic CMS and SEO integrations.
Pro
Start for free
Ideal for
Small teams producing content for one brand or project who need the full multi-engine citation picture and more than one person in the platform.
What this tier adds
Adds insights across 7+ answer engines, 100,000 tasks, 5 Knowledge Bases, CMS/SEO/AEO/social/project integrations and unlimited seats.
Enterprise
Custom
Ideal for
Organizations running enterprise-grade content programs that need custom limits, dedicated support and expert onboarding.
What this tier adds
Adds custom prompt, page, agent and task limits, unlimited Brand Kits and Knowledge Bases, a dedicated account manager and 1:1 expert onboarding.
Where the pricing makes sense
The company stage and team size where AirOps's pricing actually pencils out — and where peers do it cheaper.
Solo at $0/mo with 35,000 tasks and one seat is the cheapest way in, and Pro's 'Start for free' entry with 100,000 tasks plus unlimited seats beats most enterprise AEO trackers on seats. Traditional SEO suites bundle AI visibility into an existing contract, so if you already pay for one of those, compare the marginal cost before adding a second platform. Enterprise is custom-quoted.
Setup time & first value
How long it actually takes to get something useful out of AirOps — broken out by persona, not the marketing-page minute.
Solo: minutes to a first workspace, but only ChatGPT insights and 35,000 tasks are available. Pro: a day or two to wire CMS and SEO integrations and define tracked prompts, with a 14-day trial giving all Scale plan features and 50,000 free workflow-builder credits. Enterprise: onboarding with 1:1 expert support and a dedicated account manager, so plan on a guided rollout rather than self-serve.
Switching to or from AirOps
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a standalone AEO rank tracker: replicate your prompt list via Prompt Discovery, then rebuild reporting in Insights with persona and region filters.
- →From spreadsheets: move tracked questions and competitor lists into Campaigns, then attach Playbooks so opportunities generate actions instead of rows.
- →From a legacy SEO suite: keep the suite for traditional rankings and run AirOps alongside it for answer-engine citations and content execution.
- ↗To a pure visibility tracker: export Citation Lifecycle data and weekly charts to CSV before cancelling, since lifecycle history does not exist in most trackers.
- ↗To a general content platform: port Brand Kits and Knowledge Base content manually; Playbooks and Workflows have no standard export format.
Integrations
Resources & Guides
- Resourceairops.com
AirOps Academy | Build your Growth Engine
Helpful link from airops.com
- Quickstartairops.com
Get Started with AirOps
Get up and running fast from airops.com
- Resourceairops.com
AirOps Blog | AEO & AI Search Insights
Helpful link from airops.com
- Documentationairops.com
Docs
Full product docs from airops.com
- Resourceairops.com
Become a Certified AI Marketer on your own schedule ⚡
Helpful link from airops.com
Tutorials & Learning
YouTube returned 6 videos for “AirOps”, and we withheld 5: 5 could not be judged, because “AirOps” is a single word that other videos use for other things. Showing the 1 we can prove is about AirOps.
Tools that pair well with AirOps
Common stack mates teams adopt alongside AirOps, with the specific reason each pairing earns its keep.
Jasper
Jasper runs 100+ AI marketing agents with GEO measurement, Content Pipelines and brand-governed content at scale.
findable
Findable tracks brand mentions and citations in AI answers on ChatGPT, Google AI Mode, Perplexity and Claude, then hands you the crawler
SEOWriteX
SEOWriteX generates SEO-optimized content in 52 languages with 200+ AI writing models for bulk publishing.
Alternatives to AirOps
View all
Frequently Asked Questions
Best-of guides
Used AirOps? Help shape our editorial sentiment research.