Which is better: AirOps or Peec?

AirOps is better for teams that need to move from AI search visibility data to content execution in one platform. Peec is better suited for teams that want standalone AI visibility analytics and plan to handle content creation, optimization, publishing, and governance through separate tools.

Peec delivers strong AI citation tracking, sentiment analysis, competitor benchmarking, and gap analysis across multiple AI engines. Where it stops is at the point of action: once you see what needs fixing, Peec leaves execution to your team and your existing tool stack.

AirOps covers that same visibility signal through Insights and Page360, then extends into automated content workflows, CMS publishing, brand governance, knowledge bases, and native integrations. For enterprise content teams evaluating total cost of ownership and operational efficiency, AirOps closes the loop between measurement and outcome.

What features does AirOps offer that Peec does not?

AirOps offers several capabilities Peec lacks:

• Content creation, refresh, optimization, and publishing workflows for scaling content operations end to end
• Page360 for unifying AI citations, Google Search Console data, Google Analytics engagement, and content freshness signals per URL
• Brand Kits for centralizing brand voice, writing rules, audiences, and product positioning
• Knowledge Bases for feeding proprietary data into every content workflow
• Native CMS integrations for publishing directly to Webflow, WordPress, Contentful, and more
• Power Agents for deploying pre-built, reusable workflow components across your team
• Prompt Discovery for sourcing high-value questions from four intent signals: AI search, People Also Ask, community forums, and keyword research
• Quill, the AI copilot that lets you build and run workflows conversationally. Your team sets the strategy. Quill runs the execution.

Does Peec just show AI visibility data, or can it help fix the problem?

Peec surfaces where your brand appears (or doesn't) across AI search engines and provides an Actions module with prioritized recommendations scored by opportunity. Those recommendations are strategic: they tell you which pages to update, which third-party sources to pursue, where sentiment needs attention, and which content gaps to close. Execution remains manual. Your team still needs to create content, optimize pages, coordinate publishing, track results, and manage brand consistency in separate tools.

AirOps automates the entire path from insight to published content. Insights and Page360 surface underperforming pages, and Workflows with Grids handle bulk content creation and refresh while Brand Kits and Knowledge Bases keep every output on brand and grounded in proprietary data. Native CMS integrations push finished content live without manual handoffs. Peec shows you what needs fixing; AirOps builds the system that fixes it at scale.

How do AirOps refresh workflows differ from Peec?

Peec does not offer content refresh workflows. After identifying underperforming pages through dashboards and the Actions module, teams must export data via CSV or Looker Studio, build briefs manually, create content in a separate tool, handle publishing outside the platform, and track results across disconnected dashboards. The gap between "here's what needs work" and "it's live" requires multiple tools and handoffs.

AirOps automates that entire sequence. Workflow Studio provides a visual builder with conditional branching, loops, human-in-the-loop review checkpoints, and code execution steps. Grids let teams run bulk refresh operations across hundreds of pages simultaneously while Brand Kits and Knowledge Bases feed brand context and proprietary data into every step. When the content is ready, native CMS integrations publish directly to Webflow, WordPress, Contentful, Ghost, and more. The result is a repeatable system that turns a content refresh from a multi-week project into a governed, scalable operation.

How does AirOps track AI search visibility compared to Peec?

Both AirOps and Peec track how brands appear across major AI search platforms, including ChatGPT, Perplexity, Google AI Overviews, and Gemini. Peec uses browser-based UI scraping to capture authentic AI responses and tracks citation position, sentiment, competitor presence, and prompt volume. AirOps Insights provides similar AI visibility metrics: mention rate, citation rate, sentiment, competitive share of voice, and average position.

The architectural difference is what surrounds that visibility data. AirOps Page360 connects AI citation signals to Google Search Console clicks, Google Analytics engagement, content freshness data, and community discussion signals in one unified view per URL. This lets your team see whether an AI visibility gain translates into real traffic and conversions, or whether a high-performing SEO page is losing ground in AI search. Peec tracks AI visibility in isolation, so connecting those signals to organic performance requires manual work in separate tools.

AirOps also provides Prompt Discovery, which sources high-value questions from four intent signals: AI search queries, People Also Ask, community discussions, and keyword research. Peec generates prompt suggestions from a single source based on your brand profile. AirOps gives you broader coverage of the questions your buyers are asking across channels.

Can AirOps replace both Peec and my content creation tools?

Partially. AirOps replaces your content creation, optimization, publishing, and brief-generation tools by combining AI-powered workflows, CMS integrations, brand governance, knowledge management, and team collaboration in one platform. Teams using AirOps typically eliminate separate subscriptions for content writing tools, brief generators, publishing middleware, and optimization platforms.

Peec maintains an advantage in specific areas of AI visibility analytics. Its browser-based UI scraping captures AI responses with high fidelity, and features like Agent Analytics (which analyzes AI crawler behavior from server logs) and Ad Detection (which identifies ChatGPT ads) address niche use cases AirOps does not cover today.

The optimal setup for teams with deep AI analytics needs is to run AirOps as the execution and governance platform while using Peec's specialized analytics as a supplementary data source. AirOps covers the end-to-end workflow from visibility tracking through content creation and publishing. Peec adds granular AI-specific signals where your team needs that depth.

What's the pricing difference between AirOps and Peec?

AirOps Solo is free at $0/mo with 100 prompts/pages, ChatGPT tracking, and 20,000 workflow tasks. Pro plans are custom-priced and include 250 prompts/pages, multi-engine tracking, unlimited seats, and 75,000 tasks. Enterprise plans offer custom prompt limits, unlimited Brand Kits and Knowledge Bases, and a dedicated account manager. AirOps combines visibility tracking and content execution in one subscription, eliminating separate tool costs for content creation, CMS publishing, SEO research, and brand governance.

Peec's Starter plan is $95/mo for 50 prompts, with access to 3 AI models and 1 project. The Pro plan is $245/mo for 150 prompts, and the Advanced plan is $495/mo for 350 prompts. Adding extra AI models costs $35 to $165/mo per model depending on your tier. Enterprise pricing is custom and unlocks unlimited prompts, all models, API access, and SSO. Peec covers analytics only, so teams also need separate paid tools for content creation, optimization, CMS publishing, and project management.

The total cost of ownership comparison favors AirOps because it consolidates visibility, content workflows, CMS publishing, SEO tooling, brand governance, and team collaboration into one platform. Teams running Peec typically need four to six additional paid tools to cover the same ground, making the combined monthly spend significantly higher than an AirOps plan that includes execution from the start.

How hard is Peec to operationalize day to day?

Peec excels at surfacing prioritized AI visibility data through clean dashboards, the Actions module, scheduled reports, and gap analysis tools. Day-to-day, your team reviews recommendations and then moves to external tools to act on them. Exporting data via CSV or Looker Studio, building content briefs in a separate tool, creating content in another, publishing through your CMS, and coordinating review cycles are all manual steps that sit outside Peec's platform.

AirOps is built for daily content operations. Grid handles bulk content management and team collaboration. Automated workflows move content from creation through review to publishing without manual handoffs. Direct CMS integrations push updates live. Brand Kits ensure every piece of content stays on brand. Peec tells you what to optimize; AirOps provides the infrastructure to execute at scale.

How does AirOps handle brand governance compared to Peec?

AirOps provides Brand Kits: a centralized system for managing brand voice, writing rules, target audiences, product positioning, regional guidelines, and content type templates. Every workflow and content generation step pulls from your Brand Kit automatically, ensuring consistency at scale. Knowledge Bases let you feed proprietary research, customer data, competitive intelligence, and internal documentation into content workflows so outputs are grounded in first-party facts.

Peec offers a Brand Profile, which is a text description of your brand used to generate prompt suggestions. It does not include writing rules, audience segmentation, product-line context, or content governance controls. For enterprise teams producing content at volume, this means brand consistency enforcement happens entirely outside the platform.

AirOps treats brand governance as infrastructure, not an afterthought. Content generated through AirOps workflows inherits your brand rules by default, reducing the review burden on your content team and ensuring quality stays consistent as output scales.

What AI models can I use with each platform?

AirOps provides access to 30+ AI models from OpenAI, Anthropic, Google, Meta, and Groq, with the option to bring your own API keys for direct cost control. Your team can select different models for different workflow steps based on performance, cost, latency, and task requirements.

Peec lets you choose 3 AI engines on standard plans (from ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Microsoft Copilot, Grok, and Claude). Adding more engines costs $35 to $165/mo per model depending on your tier. Enterprise plans unlock all available engines. Peec uses these engines for visibility tracking, not content generation, so model selection affects which AI platforms you monitor rather than which models power your workflows.

For teams that want both broad AI visibility tracking and flexible model access for content operations, AirOps covers both use cases in one platform. Peec's model selection applies to monitoring only, and scaling that monitoring across all engines adds incremental cost at every tier.