If you lead SEO or content in 2026, AI search visibility already sits on your dashboard, shaped by a steady stream of signals about where and how your brand shows up across AI answers.

Your team tracks how often your brand appears in ChatGPT, Gemini, and Perplexity. You monitor citations, mentions, and competitive share of voice across AI answers. That level of visibility is no longer optional.

Recent consumer research shows that 37% of people now start searches with AI tools, and nearly two-thirds expect to use AI even more in 2026. AI has become a primary entry point for discovery, not a side channel teams can evaluate later.

The harder problem is operational. Most teams still struggle to turn AI visibility data into work that actually ships. Teams need to decide what to update, rewrite at scale, maintain brand standards, and publish without adding headcount or stitching together five tools.

That’s where the difference between AirOps and Peec.ai shows up.

Both platforms address AI search visibility, but they solve different bottlenecks. One connects visibility directly to execution. The other focuses on monitoring and intelligence that teams act on elsewhere. Understanding that distinction makes the choice much clearer.

AirOps vs Peec.ai: quick comparison

AirOps and Peec.ai both address AI search visibility, but they are built for different stages of the workflow. One is designed to turn visibility signals into executed work. The other is designed to surface and explain those signals for analysis and reporting.

The comparison below highlights where each platform fits, based on what teams need to do after AI visibility data comes in.

Get more details about how AirOps compares to Peec.ai.

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The differences are less about feature depth and more about operating model. AirOps treats AI visibility as an input to prioritization, execution, and publishing. Peec.ai treats AI visibility as an intelligence layer that informs decisions made elsewhere.

That distinction shapes everything that follows, from workflows and integrations to how teams use each platform day to day.

What are AirOps and Peec.ai?

AirOps is a content engineering platform built to turn AI search visibility into action. It brings prioritization, execution, and publishing into a single operating layer. The platform applies performance signals from AI search platforms like ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews to scalable systems, bulk Grid operations, and native CMS publishing.

Page360 then prioritizes what to create or refresh by combining AI citations with Google Search Console data, GA4 engagement, and content freshness.

Peec.ai is an AI search analytics platform focused on monitoring brand performance across AI engines. It uses metrics like Visibility, Position, and Sentiment to show how often and how favorably a brand appears in AI answers. Dashboards are optimized for stakeholder reporting and competitive analysis rather than execution.

Core capabilities: how AirOps and Peec.ai stack up

AI visibility intelligence and actionability

AirOps tracks five major AI platforms and routes visibility data directly into execution systems based on a variety of AI visibility metrics. Its prioritization engine highlights what to create or refresh based on AI citations, performance signals, and content decay.

Peec.ai captures what users see through UI scraping. Base plans include ChatGPT, Perplexity, and AI Overviews. Gemini and Claude require Enterprise tier or add-on fees.

The platform measures three core signals:

• Visibility: How often your brand appears in AI answers
• Position: Where your brand appears within responses
• Sentiment: A scored assessment of tone

Page360 prioritizes actions by combining AI citations with GSC data, GA4 engagement, and content freshness. That focus reflects how users actually behave. While most users trust AI summaries, the majority still verify answers elsewhere. Fresh, accurate pages are far more likely to survive that second step and remain credible when users cross-check what AI shows them.

Orchestration and operational scale

AirOps is built for execution. Grids support bulk updates across hundreds of pages, with version control, review steps, and direct publishing built into the execution layer.

The system builder supports conditional logic, human approval, scheduling, triggers, and webhooks, allowing teams to run repeatable execution without losing control.

Power Agents handle SERP analysis, briefs, and content generation. Brand Kits enforce voice and factual accuracy across every run, grounding AI outputs in approved context and institutional knowledge. Enterprise teams can customize systems while keeping governance intact.

Peec.ai focuses its automation on monitoring and alerts. The Actions Module groups sources and suggests tactics like joining relevant subreddits or pursuing digital PR placements. These suggestions help shape strategy, but teams still execute manually. Prompts run once every 24 hours.

AirOps supports repeatable creation and refresh at scale. Peec.ai supports decision-making that feeds work in other tools.

Data integration and ecosystem fit

AirOps acts as a central hub. It integrates natively with CMS platforms, SEO tools like Semrush and Ahrefs, and analytics including GSC and GA4, so execution stays connected to the rest of the stack. Prioritization, execution, and publishing live in one system.

Peec.ai integrates through Looker Studio connectors and CSV exports. API access remains limited to Enterprise plans. It fits as a monitoring layer inside a broader stack.

Cost transparency and control

AirOps uses task-based pricing: a free Solo tier, Pro plans with unlimited seats, and Enterprise options. All plans include access to 20+ AI models and CMS integrations, with optional bring-your-own API keys.

Peec.ai uses prompt-based pricing in Euros. Starter plans begin at €89 per month with limited prompts, while advanced models require Enterprise tiers or add-ons.

AirOps ties cost to execution volume. Peec.ai prices for monitoring depth.

When teams use each platform

When AirOps fits best

AirOps works well for teams running systematic refresh programs, programmatic SEO, and large-scale updates where existing content needs ongoing attention alongside net-new creation. These teams usually manage hundreds of pages and need a consistent way to decide what to update, execute changes at scale, and publish without slowing down.

Page360 prioritizes what to work on, while execution systems handle research, rewriting with human review, and publishing across both refresh and net-new content creation.

Teams like Webflow, Klaviyo, Wiz, and Kayak use this approach to scale output and keep content competitive without adding headcount.

When Peec.ai fits best

Peec.ai works well for teams focused on stakeholder reporting and competitive intelligence. Dashboards highlight share of voice, sentiment trends, and citation patterns across AI answers, which helps teams explain performance and visibility gaps.

This model fits smaller in-house teams and agencies that prioritize visibility tracking and client reporting over execution. Agencies often use Pitch Workspaces to visualize gaps and support GEO consulting work, while content production and publishing stay in existing tools.

Strengths and limitations

AirOps

Strengths

• Page360 unifies AI visibility, SEO performance, engagement, and freshness
• Grid enables bulk execution with direct CMS publishing
• Brand Kits enforce governance at scale
• Broad integrations reduce tool sprawl

Limitations

• Requires upfront setup
• Task-based pricing can take planning at very high volumes
• Best suited for teams with existing content to optimize

Peec.ai

Strengths

• Clean dashboards for stakeholder reporting
• Unlimited seats on all plans
• Native Looker Studio connector
• Lower entry price

Limitations

• Recommendations only; execution happens elsewhere
• 24-hour refresh cycle
• Advanced models gated behind Enterprise tiers
• No unified view tying visibility to business outcomes

The bottom line: AirOps vs Peec.ai in 2026

AirOps fits teams where execution is the constraint, including large refresh programs, programmatic initiatives, and ongoing brand governance at scale.

Peec.ai fits teams where reporting and competitive intelligence are the priority, especially for stakeholder visibility.

Why teams choose AirOps

AI search has changed how brands are discovered, compared, and trusted. Visibility inside AI answers now shapes first impressions, shortlists, and credibility long before a user reaches a website.

The difference between platforms like AirOps and Peec.ai comes down to how teams respond to that shift. Some teams need clearer reporting on where they appear and how they compare. Others need a way to turn those signals into real updates across hundreds of pages without slowing down their content operation.

This is where execution becomes the deciding factor. Teams that treat AI visibility as an operational input tend to move faster, keep content current, and stay credible as AI-driven discovery accelerates. Teams that treat it as a reporting layer gain insight, but rely on separate systems to act.

If your challenge is turning AI visibility into shipped work, AirOps is built to close that gap.

Book a demo to see how AirOps helps teams turn AI search visibility into executed content updates at scale.

Frequently asked questions: AirOps vs Peec.ai

How do AirOps and Peec.ai differ in AI platform coverage?

AirOps has LLM visibility signals from major platforms, including ChatGPT, Gemini, Perplexity, Google AI Mode, and Google AI Overviews, and applies those signals directly to workflows and CMS publishing. Peec.ai monitors ChatGPT, Perplexity, and AI Overviews on base plans, with additional platforms available on Enterprise tiers. AirOps fits teams focused on execution, while Peec.ai supports visibility tracking and stakeholder reporting.

Which platform actually executes content fixes?

AirOps executes updates through Grids, workflows, and direct CMS publishing, allowing teams to move from prioritization to published changes in one system. Peec.ai’s Actions Module surfaces recommendations, but teams carry out execution manually in external tools.

Can I migrate between the platforms?

Yes. Both platforms support data export. Teams moving to AirOps usually spend a few weeks setting up workflows and brand context, and many run both tools in parallel during the transition period.

Which platform delivers better ROI for content refresh programs?

AirOps tends to deliver stronger ROI for refresh-heavy programs by automating prioritization, rewriting with human review, and publishing at scale. Peec.ai helps inform refresh strategy, but execution depends on other tools and processes.

How do pricing models compare for a small to mid-sized team?

AirOps uses usage-based pricing with unlimited seats on Pro tiers, which suits teams running consistent execution at scale. Peec.ai starts at €89 per month with unlimited seats and prompt-based limits, which aligns better with monitoring and reporting use cases.