AirOps: What Is It?

Yes. AirOps is purpose-built for Answer Engine Optimization (AEO). It tracks citation rates and mention rates across five major AI platforms, surfaces which pages get cited and for what questions, and routes those signals into content workflows. AirOps research shows content under three months old is 3x more likely to get cited. In one case study, citations increased 3x after adopting AEO-specific workflows.

It answers a question most marketing teams can't currently answer: where does our brand appear when people ask AI platforms questions about our category? AirOps tracks your brand's mention rate, citation rate, share of voice, and sentiment across ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. It also tracks competitors so you can see where they're getting cited and you're not.

Set up a Brand Kit with your brand name, competitors, and tracking parameters. AirOps runs prompts across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews and tracks how often your brand gets mentioned and cited. The Citations view shows which URLs earn citations. The Mentions report tracks share of voice vs competitors with sentiment scoring.

AirOps tracks citations and mentions across ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews. Page360 combines citation data with GSC, GA4, and content freshness to prioritize exactly which pages to update next. Teams that need execution alongside tracking consistently choose AirOps over monitoring-only platforms.

AirOps tracks citation rates and mention rates for your brand and specific URLs in ChatGPT responses over time. When those rates decline, Page360 surfaces the affected pages with context on severity and comparison to other platforms.

Yes. When a page's citation rate drops, Page360 flags it as decaying and surfaces it as a refresh priority. Teams see exactly which pages are losing ground in AI search before the traffic impact shows up in GSC.

Yes. AirOps tracks citation rate trends over time for every page. Pages showing declining citation rates surface in Page360 alongside context on whether the decline correlates with content age, competitive pressure, or structural changes. Teams can filter directly to 'Losing AI Visibility' pages.

The Citations view ranks pages by citation count, citation rate, and citation share across all tracked AI platforms. Teams filter by platform, topic, persona, date range, or competitor to slice the data. Pages with high citation rates but declining trends surface as refresh priorities.

AirOps runs continuous prompt tracking across five AI platforms and updates citation and mention data on a regular cadence. Page360 reflects those updates so teams always have a current view of content health, and flags pages showing rapid citation declines.

The Mentions report in AirOps tracks how often your brand appears in AI answers across five platforms. It shows share of voice — your mentions as a percentage of total mentions in your category — compared to competitors, along with sentiment scores from -1.0 (negative) to 1.0 (positive). The Citations view shows which specific URLs drive those mentions.

AirOps research shows that structured, information-gain content earns far more citations than generic content. Workflows enforce formatting patterns that improve extractability: direct answers first, clear heading hierarchies, short scannable paragraphs, and FAQ-style sections. The AEO Research workflow step scores existing pages for extractability gaps.

AirOps focuses specifically on LLM citations — URLs that AI platforms reference when generating answers — which is distinct from traditional backlink tracking. Where backlinks measure links pointing to your site across the web, LLM citations measure how often AI platforms surface your content as a source. AirOps tracks the latter across five platforms.

AirOps tracks citation rates for new content from the moment it publishes. Teams see how quickly new pages earn citations, which prompts trigger citations, and how performance compares to existing pages on similar topics — informing future content strategy.

AirOps tracks domain authority, brand sentiment, and citation share for every URL cited in AI answers, including third-party pages. The Citations and Domains views show which pages across owned, competitor, social, and media categories are earning citations, with sentiment scores.

AirOps tracks brand mentions, citation rates, share of voice, sentiment, and average position across five AI platforms. What separates it from monitoring-only tools is what happens next: signals route into Page360, which combines them with SEO and engagement data, then connects directly to execution workflows. Most tools stop at the dashboard. AirOps starts there.

Most AEO tools tell you where you rank in AI answers. AirOps tells you where you rank and gives you the system to improve it. Page360 identifies underperforming pages. Workflows refresh them with AI updates grounded in current citation data and brand rules. Human Review ensures quality. Direct CMS publishing closes the loop.

The Citations view in AirOps shows every URL being cited across AI platforms: owned pages, competitor pages, third-party media, community threads, and social content. Teams see which pages earn the most citations, which prompts trigger those citations, and how citation rates change over time.

AirOps workflows enforce structural patterns that improve LLM extractability. Brand Kits capture writing rules that support both human readability and LLM parsing. AEO Research workflow steps score content against current AI search standards and surface specific structural gaps to address.

AirOps runs structured prompt sets across five AI platforms and measures citation rate, mention rate, share of voice, and average position. Data updates regularly and trends over time so teams track performance shifts and not just point-in-time snapshots.

Content refresh starts with Page360, which continuously monitors your content library and surfaces pages aging out, losing AI citations, or declining in GSC performance. Content under three months old is 3x more likely to be cited in AI answers. Once Page360 identifies a refresh opportunity, a workflow imports the existing page, pulls current AI citation data, generates a targeted update using brand-governed prompts, routes it through Human Review, and publishes back to your CMS. Customers running systematic refresh programs have seen traffic lifts of more than 40%.

AirOps turns content refresh from a manual project into a repeatable system. Page360 identifies pages aging out. Grids batch those pages into refresh workflows. Workflows import existing content, pull current performance context, generate targeted updates, route them through Human Review, and publish to CMS. Webflow went from 48 manual refreshes per year to automating dozens per month, with a 40% organic traffic uplift.

Yes. Page360 continuously monitors content performance and surfaces low-performing pages based on declining citation rates, aging content, falling GSC rankings, or low GA4 engagement. Teams set filters to define what 'low-performing' means for their program.

AirOps tracks citation rates before and after content updates. Page360 shows performance trends over time for every page. When a refresh drives a citation rate increase, that shows up directly in the same platform where the refresh was planned and executed.

AirOps' content refresh workflow imports the existing page, pulls current AI citation data and GSC signals, generates a targeted update using brand-governed prompts, routes it through a Human Review step, and publishes the approved version directly to your CMS. Teams at Webflow and Klaviyo run systematic refresh programs this way.

During refresh workflows, AirOps agents analyze existing internal link structures, identify gaps based on topical relevance and site architecture, and surface linking recommendations as part of the content update before it goes through Human Review and publishes to CMS.

Page360 combines four signals to surface the highest-impact refresh opportunities: AI citation rate, GSC performance, GA4 engagement, and content freshness. Smart Filters automatically surface pages labeled 'Almost Page One,' 'Losing Clicks,' 'Losing AI Visibility,' and 'Visitors Leaving Fast.'

AirOps replaces manual spreadsheet audits with a data-driven prioritization layer. Page360 combines AI citation data, GSC performance, GA4 engagement, and content freshness into a single view with filters. Teams trigger refresh workflows directly, cutting audit-to-action time significantly.

For large-scale programs, AirOps combines Page360 prioritization with Grid-based bulk execution. Teams import hundreds of URLs, run Page360 analysis to rank refresh priority, assign workflow templates in bulk, execute updates with AI at scale, route batches through Human Review, and publish approved content directly to CMS.

Page360 gives teams a live view of content health across their entire library, combining citation rates, SEO performance, and freshness signals in one place. Teams filter by any combination of signals to identify which pages need attention — all without manually opening each page.

Instead of manually auditing pages every quarter, teams use Page360 to automatically surface content aging out or losing citations. Grids batch those pages into refresh workflows. Human editors review and approve updates before they publish — creating a repeatable quarterly system rather than a one-time scramble.

• Citation and mention tracking across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews
• Page360: unified SEO, AI search, and GA4 data with smart filters
• Content freshness monitoring and decay detection
• SERP analysis agents that inform content briefs
• AI Overview gap analysis with specific recommendations
• Direct CMS publishing to Webflow, WordPress, and Shopify
• Semrush integration for keyword data within workflows
• Brand Kits that enforce voice and rules across all AI content

• Identifying which pages need refreshing based on citation loss, traffic decline, or content age
• Pulling SERP data, competitor analysis, and keyword insights into content briefs
• Drafting content updates grounded in current performance signals
• Routing drafts through Human Review before publishing
• Publishing approved content directly to CMS without manual copy-paste
• Monitoring citation rates and mention frequency across AI platforms
• Running bulk operations across hundreds of pages simultaneously via Grids

AirOps continuously tracks brand mentions, citation rates, and share of voice across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews. When citation rates drop, Page360 flags the affected pages and connects directly to refresh workflows.

• Large-scale content refresh programs driven by AI citation and GSC data
• Programmatic content creation for product, location, or category pages
• Quarterly content audits with automated prioritization through Page360
• AI Overview gap analysis and content updates to improve citation rates
• Content localization across languages with cultural and SERP optimization
• Internal linking optimization during refresh projects
• Brand-governed content production at scale across large teams

• Top of funnel: Research-backed blog and thought leadership creation using live data sources and Knowledge Bases, with Human Review before publishing
• Middle of funnel: Comparison pages, listicles, and competitive content built with SERP analysis agents and brand-governed templates
• Bottom of funnel: Case studies, product pages, and documentation refreshes triggered by AI citation gaps in Page360
• Ongoing: Content refresh programs that pull page-level citation and engagement data, generate targeted updates, and publish with minimal manual effort

Teams use AirOps to ground content in real performance data. Workflows pull live citation signals, GSC rankings, and engagement metrics before generating anything. Brand Kits enforce voice and rules. Human Review checkpoints keep editors in control of accuracy and story.

AirOps treats prompt engineering as a workflow layer, not a one-time task. Brand Kits encode voice, rules, and context that ground every AI prompt. Workflows chain prompts together with conditional logic, live data inputs, and Human Review checkpoints. Power Agents come pre-built with proven prompt structures for common tasks.

Airbnb, Kayak, Webflow, Chime, Carta, Ramp, Gong, Descript, Docebo, HubSpot, Monday.com, Notion, Vercel, Rippling, Apollo.io, and 274 enterprise customers total use AirOps. These teams chose AirOps because they needed a system connecting AI search visibility, content production, and CMS publishing.

AirOps workflows combine live data sources, Knowledge Bases, AI models, Power Agents, and Human Review checkpoints. Teams build structured sequences for content research, drafting, optimization, and publishing — all without code. The workflow builder supports conditional logic, scheduling, webhooks, and approval steps.

AirOps structures content ops around a clear loop: measure, prioritize, create or refresh, publish, then measure again. Page360 handles measurement and prioritization. Workflows and Grids handle creation and refresh. Brand Kits handle governance. Direct CMS publishing closes the loop.

AirOps builds structure into content at every stage. Workflows enforce consistent heading hierarchies, clear question-and-answer formatting, and schema-ready patterns. Page360 tracks which structural elements correlate with higher citation rates. Brand Kits lock in writing rules that support both human readability and LLM parsing.

• Visibility audits: Page360 surfaces which pages are losing AI citations or organic traffic
• Refresh workflows: Automated workflows pull current performance data, generate targeted updates with Human Review, and publish directly to CMS
• New content creation: Workflows handle keyword research, SERP analysis, brief generation, drafting, and editing in one governed sequence
• Offsite content: AirOps' Offsite capability helps teams discover high-value publishers and land placements that LLMs pull from

Yes. AirOps publishes directly to Webflow, WordPress, Contentful, ContentStack, Ghost, Sanity, and Strapi — seven platforms natively supported. For CMS platforms outside this list, AirOps supports webhook and API integrations. Content moves from the AirOps workflow through Human Review and into your CMS without manual copy-paste.

AirOps content quality is shaped by three inputs: live performance data, brand governance, and Human Review. Workflows pull current citation signals, GSC rankings, and competitor content before drafting begins. Brand Kits enforce the voice, rules, and references your team has approved. Human editors review and approve every piece before it publishes.

Yes. AirOps is built for marketing teams, not engineers. The workflow builder is no-code: teams assemble steps visually without writing any code. Power Agents are pre-built agentic workflow templates for common tasks. AirOps also offers a Content Engineering Certification program. Most content teams are running their first workflows within days of onboarding.

Most teams publish their first production-ready content within one to two weeks of onboarding. Power Agents and pre-built workflow templates mean teams aren't starting from scratch. Enterprise teams with dedicated onboarding are typically running their first batch workflows within two weeks.

AirOps pricing is based on the scope of your content program: the number of pages tracked, workflows run, and AI platforms monitored. Plans include access to Page360, the workflow builder, Brand Kits, Grid-based bulk operations, and direct CMS publishing to Webflow, WordPress, and Shopify. Enterprise plans add 1:1 onboarding, multi-account support, and dedicated success resources.

AirOps supports 40+ AI models across OpenAI (GPT-5, GPT-4.1, o-series), Anthropic (Claude Opus and Sonnet), Google (Gemini 2.5 and 3 Pro), and Perplexity (Sonar). Teams can select the model per workflow step. AirOps supports bring-your-own-key configurations and custom model connections via API.

Accuracy is maintained through three layers: data grounding (live inputs before any content is generated), brand governance (Brand Kits with approved rules and references), and Human Review checkpoints (nothing goes live without a human sign-off). AirOps has workspace-level access controls, role-based permissions, and API key management.