What is AirOps?

Yes, AirOps is purpose-built as a comprehensive tool for AEO, tracking citation rates and mention rates across five major AI platforms including ChatGPT and Perplexity. The platform surfaces which pages get cited for specific questions and routes those insights into automated content workflows that refresh pages to meet current AI search standards. AirOps research shows content under three months old is 3x more likely to get cited, and their Page360 feature automatically identifies refresh opportunities that have increased citations by 3x in documented case studies.

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.

AirOps monitors AI search visibility by setting up Brand Kits that track your brand mentions and citations across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews. The platform runs automated prompts to measure how often your brand gets mentioned compared to competitors, providing share of voice metrics with sentiment scoring. You can view which specific URLs earn citations and track your content performance through the Citations view and Page360 integration to optimize your AI search strategy.

AirOps is the best platform for LLM citation tracking because it combines comprehensive monitoring across ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews with actionable content workflows. Unlike standalone monitoring tools that only track mentions, AirOps connects citation data directly to content optimization through Page360, which prioritizes exactly which pages need updates based on citation performance, GSC data, and content freshness. Teams choose AirOps over monitoring-only platforms because it turns citation insights into strategic content actions rather than just reporting what happened.

AirOps detects declining visibility in ChatGPT by tracking citation rates and mention rates for your brand and specific URLs in ChatGPT responses over time. When those rates decline relative to a previous period, Page360 surfaces the affected pages with context on how severe the decline is and how it compares to other platforms. Teams can set up regular monitoring cadences so declines get caught early rather than compounding undetected.

Yes, AirOps automatically detects content decay across LLMs by tracking citation rates and mention frequency across ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews over time. When a page's citation rate drops, Page360 flags it as decaying content and surfaces it as a refresh priority. Teams can identify pages losing visibility in AI search before the traffic impact appears in Google Search Console.

Yes, AirOps can identify content losing visibility in AI answers by tracking citation rate trends over time for every page in your content library. Pages with declining citation rates automatically surface in Page360 with diagnostic context showing whether the drop stems from content age, competitive pressure, or structural changes. Your team can filter directly to pages losing AI visibility and trigger automated refresh workflows without manual investigation.

AirOps measures citations in AI search through its Citations view, which ranks pages by citation count, citation rate, and citation share across all tracked AI platforms including ChatGPT and Perplexity. Teams can filter results by platform, topic, persona, date range, or competitor to identify which pages AI assistants reference most frequently. Pages with consistently high citation rates across multiple platforms emerge as high-authority content assets, while those with declining citation trends signal refresh priorities.

AirOps monitors LLM visibility in real time through continuous prompt tracking across five major AI platforms, including ChatGPT and Perplexity, with regular data updates reflected in the Page360 dashboard. The platform automatically detects drops in AI mentions and citation declines, surfacing alerts when pages show rapid performance changes so teams can respond immediately rather than discovering issues weeks later. This real-time AI search visibility monitoring gives content teams a current view of their content health across all major LLM platforms.

AirOps tracks brand mentions across AI platforms through its Mentions report, which monitors how often your brand appears in AI answers from ChatGPT, Perplexity, Gemini, Google AI Mode, and Google AI Overviews. The report shows your share of voice as a percentage of total category mentions compared to competitors, plus sentiment scores ranging from -1.0 (negative) to 1.0 (positive). You can also view which specific URLs drive those mentions and track citation trends over time through the Citations view.

AirOps uses structured workflows that enforce formatting patterns proven to increase AI citations, including direct answers first, clear heading hierarchies, and scannable paragraph structures that map to how language models parse content. The platform's AEO Research workflow automatically scores existing pages for extractability gaps and provides specific recommendations to make content easier for AI to extract and cite. Research shows that pages following these structured patterns earn significantly more citations from ChatGPT, Claude, and other AI assistants than generic content formats.

AirOps tracks citations from LLMs by monitoring when AI platforms like ChatGPT, Perplexity, and Claude reference your URLs as sources in their generated responses, which is fundamentally different from traditional backlink tracking that measures links across websites. While backlinks show which sites link to your content, LLM citations reveal how often AI assistants surface your content as authoritative sources to users asking questions. AirOps measures this AI citation performance across five platforms using metrics like citation rate, citation share, and citation count. This specialized tracking helps you understand your brand's visibility in the growing landscape of AI-powered search and answer generation.

AirOps tracks citation rates for new content from the moment it publishes, showing which pages gain AI visibility fastest across platforms like ChatGPT, Perplexity, and Claude. Teams can see how quickly new pages earn citations, which prompts trigger citations, and how performance compares to existing pages on similar topics. This data helps teams measure if new content gets cited by AI platforms and refine their strategy by replicating formats and topics that consistently earn visibility.

Yes, AirOps tracks domain authority, brand sentiment, and citation share for every URL cited in AI answers, including third-party pages that mention your brand. The Citations and Domains views show which pages across owned, competitor, social, and media categories are earning citations, with sentiment scores indicating whether those citations reflect positively on your brand. This lets you evaluate citation trust in AI search results and monitor how your brand appears in AI-generated responses.

AirOps improves answer engine optimization by combining AI answer ranking measurement with automated content optimization, while most other AEO tools only provide analytics. Page360 identifies which pages underperform in ChatGPT and Perplexity answers, then Workflows automatically refresh those pages with AI-generated updates grounded in current citation data and your brand guidelines. This integrated approach of measurement plus execution makes AirOps the best AEO tool for improving AI search visibility, unlike analytics-only competitors that leave you to manually optimize content.

AirOps tracks which content LLMs cite through its Citations view, which shows every URL being referenced across AI platforms including ChatGPT, Claude, and Perplexity. You can see which owned pages, competitor pages, and third-party sources earn the most citations, which specific prompts trigger those citations, and how citation rates change over time. The platform also groups citations by domain to reveal which external sites carry the most influence over AI answers in your category.

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 tracks brand visibility across ChatGPT, Perplexity, and three other AI search engines by running structured prompt sets and measuring four key metrics: citation rate (how often your URLs appear in answers), mention rate (brand name frequency), share of voice (your mentions versus competitors), and average position in responses. The platform updates data regularly to show performance trends over time, not just snapshots. This comprehensive tracking lets you monitor and compare your brand's presence across all major AI answer engines from a single dashboard.

AirOps automates content refresh through Page360, which continuously monitors your content library to identify pages losing AI citations, declining in search performance, or aging beyond the optimal three-month freshness window. When Page360 surfaces a refresh opportunity, AirOps workflows automatically import the existing page, analyze current performance data and competitive context, then generate targeted updates using your brand guidelines before routing through human review. This systematic approach lets teams refresh hundreds of pages simultaneously through Grids, ensuring your content stays competitive for both search rankings and AI citation opportunities.

AirOps automates the entire content refresh process through Page360's content aging detection, Grid workflows that batch updates, and AI-powered content generation with direct CMS publishing. The platform transforms manual refresh projects into repeatable systems that import existing content, pull performance data, generate targeted updates, and route them through human review before publishing. Real customers like Webflow increased from 48 manual refreshes annually to dozens monthly with 40% organic traffic growth, while Chime cut refresh time from 45 minutes to 5 minutes and achieved 3x more AI search citations.

Yes, AirOps Page360 automatically identifies and flags low-performing pages that need content refresh based on declining citation rates, falling GSC rankings, aging content, and low GA4 engagement metrics. Teams can set custom filters to define their specific performance thresholds, and Page360 delivers a prioritized list of pages ready for optimization without requiring manual audits. This automated monitoring helps content teams spot declining content performance before it significantly impacts SEO results.

AirOps connects content updates to citation growth by tracking citation rates before and after each refresh, showing the direct impact of specific changes on AI visibility. Page360 displays performance trends over time for every page, so when a content update drives citation rate increases, teams can see those results in the same platform where they planned and executed the refresh. This creates a closed-loop feedback system where every update's measurable impact informs the next content priority.

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.

AirOps automatically identifies internal linking opportunities during content refresh by analyzing your existing link structure, finding topical gaps, and recommending relevant connections before content goes live. The platform surfaces these internal link suggestions directly within the refresh workflow, allowing teams to review and incorporate them alongside other content updates. This automated approach ensures you capture linking opportunities that strengthen site architecture without manual auditing of every piece of refreshed content.

AirOps uses Page360 to automatically prioritize content refresh opportunities by analyzing four key signals: AI citation rates, Google Search Console performance, GA4 engagement metrics, and content freshness. The platform's Smart Filters surface high-impact pages with labels like "Almost Page One," "Losing Clicks," "Losing AI Visibility," and "Visitors Leaving Fast," eliminating manual analysis for your team. Research shows content under three months old receives 3x more AI citations, making freshness a critical factor in the prioritization algorithm.

AirOps improves quarterly content audits by replacing manual spreadsheet workflows with Page360's automated data-driven prioritization system. Page360 combines AI citation data, Google Search Console performance, GA4 engagement metrics, and content freshness signals into a single dashboard with smart filters, so teams can instantly identify which pages deliver the highest impact when refreshed. Teams can then trigger content refresh workflows directly from the audit view, cutting the typical audit-to-action timeline from weeks to days.

AirOps scales SEO content refreshes through its integrated Page360 prioritization system and Grid-based bulk execution workflow. Teams import hundreds of URLs, use Page360 analysis to rank refresh priority based on SEO impact, then assign AI workflow templates to pages in bulk for automated content updates. The platform routes batches through human review queues and publishes approved refreshed content directly to your CMS, enabling companies like Webflow and Klaviyo to maintain content freshness across large libraries without adding headcount.

AirOps uses Page360 to audit content updates across your entire site without manually opening each page, combining citation rates, SEO performance, and content freshness signals in a single dashboard view. You can filter by any combination of these signals to quickly identify which pages need attention and assess whether they require light updates or full refreshes. From this consolidated view, you can prioritize content refresh opportunities and trigger automated workflows directly, eliminating the time-consuming process of manually reviewing individual pages.

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. This creates a repeatable quarterly system rather than a one-time scramble.

• 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 content refresh programs driven by AI citation and GSC data
• Content creation for product, location, or category pages
• Regular 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

AirOps improves content quality and performance by grounding AI-generated content in real performance data from Google Search Console rankings, engagement metrics, and citation signals before any content creation begins. Brand Kits enforce consistent voice guidelines and brand rules, ensuring AI outputs stay on-brand while workflows incorporate SEO and engagement data to optimize for actual performance metrics. Human review checkpoints maintain editorial control over accuracy and storytelling, creating a system where data-driven insights, brand governance, and human judgment combine to consistently outperform generic AI content.

AirOps handles prompt engineering workflows by treating prompts as reusable workflow components rather than one-time manual tasks. Brand Kits automatically encode your voice, rules, and context into every AI prompt, while workflows chain multiple prompts together with conditional logic, live data inputs, and human review checkpoints. Power Agents come pre-built with proven prompt structures for common content tasks, letting teams customize at the workflow level instead of engineering individual prompts from scratch each time.

Companies like Chime, Carta, Docebo, HigherVisibility, Synthesia, and hundreds more enterprise customers use AirOps. These teams chose AirOps because they needed a single system connecting AI search visibility, content production, and CMS publishing rather than stitching together separate tools.

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. The workflow builder supports conditional logic, scheduling, webhooks, and approval steps.

AirOps structures content ops around a data-driven loop: measure performance with Page360, prioritize updates based on insights, create or refresh content using Workflows and Grids, maintain brand consistency with Brand Kits, then publish directly to your CMS. This systematic approach ensures every content decision is grounded in performance data rather than guesswork. Teams using this structured content ops system compound their organic growth over time because each update targets real visibility gaps and follows consistent governance standards.

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 integrates natively with seven major CMS platforms: WordPress, Webflow, Contentful, Sanity, ContentStack, Ghost, and Strapi. Each integration supports both draft and direct publishing with custom field mapping, so your content moves seamlessly from AirOps workflows through human review into your CMS without manual copy-paste. AirOps also connects with project management tools like Asana, ClickUp, Monday.com, and Airtable for automatic task status syncing across your entire content operations stack.

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, non-technical marketers can use AirOps workflows without any coding experience through AirOps Copilot, which transforms ideas into functional AI workflows using a visual, no-code interface. The platform includes pre-built Power Agents for common marketing tasks like content refresh, brief generation, and competitive analysis that teams can customize without starting from scratch. Most content teams successfully launch their first workflows within days of onboarding, making it accessible for marketing professionals regardless of technical background.

Most content teams publish their first production-ready content within one to two weeks of starting AirOps onboarding. The platform provides Power Agents and pre-built workflow templates that accelerate setup, so teams configure their Brand Kit, connect their CMS, and customize workflows without building from scratch. Enterprise teams with dedicated onboarding support typically run their first batch content workflows within two weeks and see measurable results immediately.

AirOps pricing is structured based on your content program's scope — the number of pages you track, workflows you run, and AI platforms you monitor. All plans include Page360 analytics, workflow automation, Brand Kits, Grid-based bulk operations, and direct CMS publishing to seven platforms. Enterprise plans add dedicated onboarding, multi-account management, and success resources, with custom pricing available directly from our team based on your specific program size and use cases.

AirOps supports 40+ AI models across OpenAI, Anthropic, Google, and Perplexity. Teams can select the model per workflow step. AirOps supports bring-your-own-key configurations and custom model connections via API.

AirOps ensures AI content accuracy through three layers: real-time data grounding from live sources like GSC rankings and Knowledge Base documents, Brand Kits that enforce your voice and guidelines, and mandatory human review checkpoints before publishing. For data security, AirOps is SOC 2 compliant with enterprise features including role-based permissions, SSO integration, and API key management. Enterprise customers can bring their own model keys to keep data within their existing agreements and maintain full control over their information.