Move your team from AirOps to Otterly.AI.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in Otterly.AI — and the few things that need a manual step, walked through. You send one invite; nobody becomes the help desk, and nothing in AirOps is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
AirOps discovers relevant AI search queries through its Insights module, which surfaces content gap recommendations derived from prompt coverage analysis — teams choose prompts to track and AirOps shows where coverage is weak. Otterly.ai has a dedicated AI Prompt Research feature: users enter keywords, brand names, or URLs and the platform surfaces the actual prompts users type into ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot in their industry. Migrating from AirOps to Otterly.ai: take the tracked-prompt list from AirOps Insights and seed Otterly.ai's Prompt Research with the same keywords/brand terms to discover adjacent prompts you may have missed; then enroll the expanded prompt set in daily tracking. Migrating from Otterly.ai to AirOps: export your Otterly.ai prompt list and paste it into AirOps Insights as Tracked Prompts; the gap-analysis view will then show which of those prompts have weak content coverage.
- Warning: Otterly.ai prompt quotas are strict: Lite allows only 15 prompts, Standard 100, Premium 400; additional packs cost $99/month per 100 prompts — a large existing AirOps prompt set will likely require a plan upgrade.
- Warning: Otterly.ai Prompt Research focuses on discovering what prompts exist; AirOps wraps prompt coverage into a broader gap-and-refresh prioritization workflow with editorial brief generation — that second layer is absent in Otterly.ai.
- Warning: Neither platform exports a portable prompt format — expect manual re-entry when moving the list between tools.
Both platforms track brand citation frequency across major AI search engines (ChatGPT, Perplexity, Google AI Overviews) and surface Share-of-Voice metrics. To migrate from AirOps to Otterly.ai: export your tracked prompt list from AirOps Insights as a CSV, then re-import those prompts in Otterly.ai's prompt setup (Settings > Prompts). Configure the same competitor brands in Otterly.ai's dashboard and enable the daily tracking cadence. Otterly.ai's Google Looker Studio Connector can replicate any custom reporting views you built in AirOps. To migrate the other direction (Otterly.ai to AirOps): note your active prompt list and competitor set in Otterly.ai, re-enter them in AirOps Insights under Tracked Prompts and Competitor Intelligence, then choose the Pro plan to cover the same multi-engine scope.
- Warning: AirOps Solo plan tracks only 100 prompts via ChatGPT only; Otterly.ai Lite tracks 15 prompts across ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot — so prompt budget and engine coverage differ at entry-level tiers.
- Warning: Otterly.ai charges an add-on fee ($9–$149/month) for Google AI Mode and Gemini coverage; AirOps Pro includes Google AI Studio natively in its 250-prompt multi-engine tracking.
- Warning: Historical tracking data does not transfer between platforms — expect a gap in trend data from the moment you switch until the new platform accumulates comparable history.
AirOps tracks competitor share-of-voice quantitatively (how often rivals appear vs. your brand in AI results) and feeds those signals into content action priorities. Otterly.ai extends this with qualitative sentiment classification — how AI engines describe each brand (recommended, mentioned with caveats, dismissed). Migrating from AirOps to Otterly.ai: list the competitor brand names you track in AirOps Insights, add them as monitored competitors in Otterly.ai's Competitive Benchmarking view, and enable sentiment alerts in Settings. Migrating from Otterly.ai to AirOps: transfer your competitor list to AirOps Insights > Competitor Intelligence and note that AirOps expresses the output as share-of-voice percentages rather than sentiment categories — reconfigure any reporting expectations accordingly.
- Warning: AirOps competitor intelligence requires Pro plan (250 prompts, multi-engine); it is not available on the Solo plan, which is ChatGPT-only and excludes competitor tracking.
- Warning: Otterly.ai provides sentiment classification (recommended / cautious / dismissed) which AirOps does not offer — teams relying on tone-based alerts will lose that signal when moving to AirOps.
- Warning: Otterly.ai multi-country sentiment monitoring (50+ countries) is available on all plans; AirOps multi-region support is Enterprise-only.
AirOps identifies content gaps from AI search query coverage and flags stale pages via its Insights module with editorial briefs generated by Deep Research. Otterly.ai approaches the same problem from the crawlability angle: its Crawlability Checker audits submitted URLs for AI-bot accessibility and structured-data completeness, then the GEO Optimization module turns those findings into prioritized page improvements. Migrating from AirOps to Otterly.ai: export the list of gap topics and flagged URLs produced by AirOps Insights, then submit those URLs to Otterly.ai's Crawlability Checker to see which pages have AI-accessibility barriers; use the GEO recommendations to action the same refresh backlog. Migrating from Otterly.ai to AirOps: the audit output (structured data issues, crawl barriers) maps to AirOps content gap recommendations — manually transfer the priority URL list into AirOps Grids and use Deep Research to generate editorial briefs for each refresh.
- Warning: Otterly.ai URL audit quotas are plan-gated (1,000 on Lite, 5,000 on Standard, 10,000 on Premium); AirOps does not impose a per-URL audit cap but limits the number of tracked prompts, so coverage differs by product.
- Warning: AirOps Deep Research briefs include competitive analysis and search intent mapping; Otterly.ai GEO recommendations focus on on-page and structured-data signals — neither fully replaces the other's output type.
- Warning: AirOps's guidance that content under 3 months old is 3x more likely to be cited is an internal AirOps data claim; Otterly.ai does not surface a comparable freshness metric.
AirOps integrates directly with CMS and publishing destinations (WordPress, Notion, Google Drive, Semrush) so AI-generated content reaches the CMS without manual copy-paste. Otterly.ai offers a public REST API for pulling brand citation and prompt data into external tools, plus a Google Looker Studio Connector and an MCP integration for embedding AI visibility data into dashboards and AI assistants. The use cases are complementary rather than equivalent: AirOps integrations push content out; Otterly.ai integrations pull analytics in. A team switching from AirOps to Otterly.ai should establish a separate publishing workflow (e.g. via Zapier or direct CMS API) since Otterly.ai does not have native CMS connectors. A team switching the other direction should expect to rebuild any custom reporting dashboards built on Otterly.ai's Looker Studio Connector or REST API, as AirOps does not expose a public data API.
- Warning: Otterly.ai REST API is only available on Standard ($189/month) and Premium ($489/month) plans — teams on Lite lose programmatic access entirely.
- Warning: AirOps's CMS integrations (WordPress, Notion, Google Drive) have no equivalent in Otterly.ai, which is analytics-only and does not support content publishing.
- Warning: Otterly.ai's MCP integration (for embedding brand data in AI assistants) has no parallel in AirOps — teams using that integration for agent workflows will need to rebuild via Otterly.ai's REST API or retain Otterly.ai alongside AirOps.