AirOps vs Machined: which SEO tool fits your team?

AirOps

Useful for content opportunity and prompt-led strategy, but public pages show less classic keyword clustering depth than dedicated SEO suites.

The docs say AirOps supports content strategy and research using search trends, competitor content, and market opportunities, while the pricing and Insights pages focus more on prompts, pages, citations, and opportunities than traditional keyword databases.

Machined

Strong explicit support for SERP-based discovery, volume/difficulty/trends, intent clustering, long-tail discovery, and cannibalization prevention.

Machined documents SERP crawling, search volume, difficulty, trends, intent clustering, and anti-cannibalization: https://machined.ai/features/automated-keyword-research

AirOps

Very strong content execution for AI-search and SEO workflows, including refresh, creation, brand governance, and review.

AirOps public pages describe content refresh automation, content creation, Playbooks, Grids, Brand Kits, Knowledge Bases, Quill, human-in-the-loop review, internal linking, outdated-content refreshes, key takeaways, structured data, and FAQ integration.

Machined

Automates cluster and single-article generation, long-form output, images, metadata, voice, briefs, and internal links.

The product and customization pages document bulk cluster generation, 1,200–3,200-word controls, images, briefs, editor, and model selection: https://machined.ai/features/customization and https://machined.ai/features/content-cluster-automation

AirOps

Broad context gathering from SEO, AI-search, competitor, CMS, knowledge base, company context, data warehouse, and custom API surfaces.

The integrations page lists CMS, SEO data providers, knowledge bases, data warehouses, company context integrations, 40+ AI models, MCP, Brand Kits, Knowledge Bases, SSO, and role-based access; docs describe brand context and workspace context.

Machined

Uses SERP and web-page research, including user-specified source URLs, but official pages do not document internal-company-data ingestion or broad app connectors.

Directed Research accepts exact webpages and Automated Research finds sources: https://machined.ai/features/ai-research-citations

AirOps

Directly built for AI-search and AEO visibility across major answer engines.

The homepage positions AirOps for AI Search, Google, Gemini, Perplexity, Claude, and ChatGPT, and docs describe mention rates, citations, share of voice, prompt tracking, sentiment, community citations, and AI-search performance.

Machined

Citations and E-E-A-T language provide indirect support for answer visibility, but no explicit AI-search/GEO optimization or citation monitoring feature was found.

The reviewed official research page mentions E-E-A-T and authoritative citations, not AI-search tracking: https://machined.ai/features/ai-research-citations

AirOps

Excellent GEO readiness because the product connects answer-engine measurement with citation-oriented content and offsite actions.

AirOps tracks citations and domains cited in AI responses, monitors prompts and share of voice, surfaces onsite and offsite opportunities, says content under three months old is more likely to be cited, and supports content refresh and creation workflows.

Machined

Research-backed citations and structured topical coverage are weak indirect readiness signals; no explicit GEO controls or AI crawler/search measurement were found.

Official positioning covers topical authority and citations but not GEO: https://machined.ai/features/content-cluster-automation and https://machined.ai/features/ai-research-citations

AirOps

Moderate technical SEO support through content optimization and connected SEO data, but not primarily a crawler or audit suite.

The content creation page mentions technical SEO optimization, structured data, and SERP optimization, and integrations include SEO data providers, but public evidence did not show a native technical crawler, indexability audit, or site health module comparable to dedicated technical SEO tools.

Machined

Generated pages include metadata, links, and sitemap support, but Machined is not a general technical crawler or site-audit suite.

Official pages describe SEO metadata and publishing integrations within content automation: https://machined.ai/features/integrations

AirOps

Excellent publishing workflow with CMS import, content operations, review control, and bulk export.

The integrations page says AirOps connects to Webflow, WordPress, Contentful, Sanity, Ghost, Strapi, HubSpot and other CMSs, imports content libraries, refreshes content, exports back in one click, supports bulk operations, and lets teams control draft, staged, or published status.

Machined

Strong one-click publishing with native WordPress/Webflow, webhooks, draft/live status, images, formatting, and metadata.

The integrations page documents native CMS connections, webhooks, draft review, formatting, images, and SEO metadata: https://machined.ai/features/integrations

AirOps

Strong measurement across AI visibility, citations, share of voice, prompts, pages, content updates, and impact loops.

Docs describe analytics for mention rate, citation rate, share of voice, sentiment, competitors, topics, personas, page performance, content updates, change detection, and an Insights API for dashboards and reporting.

Machined

No rank tracking, traffic analytics, Search Console integration, dashboards, or outcome measurement capability was found on reviewed official pages.

Reviewed official feature index and pricing describe generation, research, linking, and publishing but no measurement product: https://machined.ai/ and https://machined.ai/pricing

AirOps

Strong collaboration for content operations, especially on Pro and Enterprise plans, though detailed permissions are more enterprise-focused.

Pricing lists unlimited seats for Pro and Enterprise, collaboration functionality, live trainings, dedicated account management, SSO, role-based access on integrations pages, human-in-the-loop workflows, and project management integrations.

Machined

Plans include 2–10 team members and the app includes an editor/draft review flow, but no detailed roles, comments, or approval system was found.

Team-member limits are on pricing and draft review/editor capabilities are documented on the integrations/customization pages: https://machined.ai/pricing and https://machined.ai/features/customization

AirOps

Accessible trial entry, but real buying value likely depends on team maturity and undisclosed paid pricing.

The pricing page offers Start for Free and describes Solo and Pro limits, but exact ongoing prices are not publicly disclosed and several higher-value capabilities are custom or enterprise-oriented.

Machined

Low published entry price, 7-day no-card trial, unlimited projects, and a BYOK option make the product accessible.

Launch is $19/month and the trial requires no card; BYOK is $99/month: https://machined.ai/pricing

AirOps

Meaningful free-start access is advertised, but the public free limits are plan-scoped rather than a broad standalone free toolset.

The homepage and pricing page show Start Free Trial or Start for Free, and Solo includes specific limits, but public pages do not disclose a permanent free plan price beyond structured entry limits.

Machined

A 7-day full-access trial is documented, but no permanently free standalone tools were found.

The official pricing page documents only the 7-day trial and paid plans: https://machined.ai/pricing

AirOps

Strong public market proof from named customer logos and case studies, but exact customer count is not disclosed.

AirOps displays customer logos including Monday.com, Webflow, Ramp, Carta, LegalZoom, Sprout Social, Gong, Sage, Chime, Apollo, Klaviyo, Glean, and case study outcomes such as Asana citation growth, Webflow AI-attributed signups, Carta citations, and Angi conversion lift.

Machined

No auditable customer count was established from the reviewed official pages; the homepage's promotional user statement is not treated as an auditable customer-count source.

The reviewed homepage contains promotional social proof but no auditable customer metric or methodology: https://machined.ai/

AirOps

Highly agent-ready, with Quill, Playbooks, workflows, MCP, APIs, integrations, review loops, and durable brand context.

The homepage describes Quill as an AI agent captain, docs cover Playbooks, workflows, Brand Kits, workspace context, human review, MCP, and public APIs, and integrations connect CMS, PM, data, SEO, and knowledge systems.

Machined

Agent-based research and automated multi-step content execution are explicit, but an external agent API or general autonomous agent framework is not documented.

Machined calls its research agents and automates research-to-publication workflows: https://machined.ai/features/ai-research-citations and https://machined.ai/features/content-cluster-automation

AirOps

High autonomy once configured, balanced by deliberate human review and setup needs for strategy, context, and integrations.

AirOps says Quill recommends Campaigns, drafts from strategy briefs, runs work through approvals, loops teams in at the right time, and executes repetitive tasks such as internal links, refreshes, and key takeaways, but setup and review remain important.

Machined

Strong autonomy from topic input through clustering, writing, links, and publication, with human controls through briefs, editing, drafts, and custom settings.

One-click generation/publishing and configurable draft review/editor workflows are documented here: https://machined.ai/features/customization and https://machined.ai/features/integrations