Airops

Use Case 1: Maximizing Visibility in AI Search Citations

Problem: Traditional SEO strategies are no longer enough as AI-powered search engines (like ChatGPT, Perplexity, and Google Search Generative Experience) change how users find information. Brands are losing traffic because their content isn't being cited or recommended by these AI models.

Solution: AirOps provides a "Content Engineering" approach that analyzes AI search claims and identifies coverage gaps. It uses workflows to restructure and optimize content specifically to earn citations, ensuring the brand is seen as a primary source for priority industry questions.

Example: A fintech company like Chime uses AirOps to track 68 priority questions in their niche. The tool identifies pages that lack the specific "information gain" required by AI models, then triggers an agentic workflow to update those pages, resulting in a 3x increase in AI search citations.

Use Case 2: High-Velocity Content Refreshing and Maintenance

Problem: Content visibility can decrease by as much as 50% if it is not refreshed every 12 months. However, manually auditing, updating, and re-optimizing hundreds of blog posts is time-consuming and often requires expensive external agencies.

Solution: AirOps unifies SEO, AI search, and GA4 data via "Page360" to show exactly which pages are decaying. Marketers can then use pre-built "Power Agents" to automate the heavy lifting of refreshing content while maintaining brand voice and human-in-the-loop quality control.

Example: Webflow used AirOps to 5x their content refresh velocity. Instead of manual audits, they used an automated workflow to scan their existing library, identify outdated statistics or SEO signals, and generate updated drafts for human review, significantly increasing their visibility across Google and ChatGPT.

Use Case 3: Intelligent Content Localization for Global Markets

Problem: Scaling content into new languages often leads to "generic translation" quality that fails to rank in local SERPs (Search Engine Results Pages) or resonate with the local culture.

Solution: AirOps allows teams to build workflows that go beyond literal translation. It screens existing content for "market fit," integrates local cultural context, and optimizes for specific local search signals before outputting content in the target language.

Example: A Director of Organic Growth creates a workflow to screen 600+ English articles for the French market. The system evaluates which articles are relevant to French users, applies local SEO data, and generates authentic French content that avoids the "translated" feel, saving hundreds of hours of manual localization.

Use Case 4: Data-Driven Content Enrichment (Information Gain)

Problem: Search engines and AI models now reward content that provides unique value or "information gain." Content that just repeats what is already on the web is being de-prioritized, but manual research for every article is difficult to scale.

Solution: AirOps allows users to connect their internal data sources or external benchmarks directly to their content workflows. This enables the "Action" layer to inject unique, proprietary data points into articles automatically.

Example: A marketing professional builds an AirOps workflow to enhance blog posts with industry-specific benchmark data (such as acquisition or retention metrics). The tool pulls fresh data from a platform like Amplitude and weaves it into the content, ensuring every article published has unique insights that competitors cannot easily replicate.

Use Case 5: Scaling Community-Driven Growth on Reddit

Problem: Platforms like Reddit are increasingly influential in search results, but manually monitoring threads and crafting helpful, brand-aligned responses or content inspired by community discussions is a massive manual task.

Solution: AirOps can surface opportunities on external sites and Reddit threads on a regular cadence. It allows teams to build workflows that analyze community sentiment and generate draft content or responses that address specific "Jobs-to-be-Done" identified in those threads.

Example: LegalZoom uses AirOps to monitor Reddit for legal-related questions. When a relevant thread is identified, AirOps analyzes the discussion and helps the marketing team quickly craft high-quality, helpful content that addresses the community's specific pain points, leading to higher brand authority and attribution.