Not Human Search vs Sonar: Which is Better in 2026?
A comprehensive comparison of Not Human Search and Sonar covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Not Human Search if:
- →You need a broader feature set (7 features vs 6)
- →You need 0–100 agent-readiness score across multiple machine-readable signals or checks for llms.txt, openapi, mcp endpoints and schema.org markup
Choose Sonar if:
- →You want more affordable paid plans (from $19/mo)
- →You need keyword volume pulled from apple search ads and google play autocomplete, not estimates or 0–100 keyword difficulty scored against the current top-ten ranking apps
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Not Human Search vs Sonar: At a Glance
Pricing Comparison: Not Human Search vs Sonar
Understanding the pricing differences between Not Human Search and Sonar is crucial for making the right choice. Here's how their plans compare side by side.
Not Human Search Pricing
Sonar Pricing
💡 Pricing takeaway: Both Not Human Search and Sonar offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Not Human Search and Sonar stacks up.
What Makes Each Tool Unique
🔵 Unique to Not Human Search
Features available in Not Human Search but not in Sonar:
- ✓0–100 agent-readiness score across multiple machine-readable signals
- ✓Checks for llms.txt, OpenAPI, MCP endpoints and Schema.org markup
- ✓Rank determined by readiness, explicitly never by payment
- ✓Thousands of agent-ready sites indexed and browsable
- ✓Search by category, protocol, or the job an agent needs done
- ✓Category views for MCP servers, developer, data, finance, e-commerce and more
- ✓Free instant score with no signup
🟣 Unique to Sonar
Features available in Sonar but not in Not Human Search:
- ✓Keyword volume pulled from Apple Search Ads and Google Play autocomplete, not estimates
- ✓0–100 keyword difficulty scored against the current top-ten ranking apps
- ✓Daily rank tracking on both stores, all countries, with unlimited history
- ✓Keyword gap analysis against uncapped competitors
- ✓Revenue, install and retention estimates for any app on the store
- ✓REST API, CLI and MCP server so AI agents can run ASO research directly
Use Case Recommendations
Best for: Not Human Search
Not Human Search is a search engine whose users are meant to be agents, not people, and a scoring tool for anyone who wants to be found by them. It indexes thousands of sites and ranks them on machine-readable readiness rather than on backlinks or bids — the stated rule is that organic rank is based on readiness and never on payment. Readiness is scored 0–100 across agentic signals an autonomous client actually needs to transact: whether an llms.txt exists, whether there is an OpenAPI description, whether an MCP server is exposed, whether Schema.org markup is present, and several more. That produces two distinct uses. If you are building an agent, you can search by category, protocol or the job the agent needs to complete and get back services it can genuinely call rather than marketing pages it would have to scrape. If you run a site, you can score it and see specifically which machine-readable affordance is missing, which is far more actionable than a generic SEO audit because the checks map one-to-one onto files you can ship. Browsing is organised by category — MCP servers, AI tools, developer, data, finance, e-commerce, productivity, security, health — plus top-100 and newest views. Search and scoring are free.
Ideal use cases:
- •Teams or individuals who need 0–100 agent-readiness score across multiple machine-readable signals
- •Teams or individuals who need checks for llms.txt, openapi, mcp endpoints and schema.org markup
- •Teams or individuals who need rank determined by readiness, explicitly never by payment
- •Teams or individuals who need thousands of agent-ready sites indexed and browsable
- •Anyone focused on agentic-web workflows
- •Anyone focused on llms-txt workflows
Best for: Sonar
Sonar is an app-store optimization tool built specifically for indie app developers, and it argues its case against the incumbent ASO platforms on two axes: price and data provenance. The pitch on provenance is that keyword search volume comes directly from Apple Search Ads and Google Play autocomplete rather than from a modelled estimate, so the numbers a developer optimizes against are the ones the stores themselves report. Every keyword also carries a difficulty score from 0 to 100 derived from competitive analysis of the current top-ten ranking apps, which is the number that tells a solo developer whether a term is worth chasing at all. Once an app is added, Sonar tracks its position on every keyword daily across both stores and all countries, keeps unlimited rank history for as long as the subscription runs, and runs a keyword gap analysis that surfaces terms competitors rank for and you do not. Alerts fire on competitor metadata moves and on ranking drops. A revenue-estimates feature projects monthly revenue, installs, retention and in-app-purchase pricing for any app on the store. For automation there is a REST API, a CLI and an MCP server, so agents like Claude and Cursor can run ASO research against live store data instead of guessing.
Ideal use cases:
- •Teams or individuals who need keyword volume pulled from apple search ads and google play autocomplete, not estimates
- •Teams or individuals who need 0–100 keyword difficulty scored against the current top-ten ranking apps
- •Teams or individuals who need daily rank tracking on both stores, all countries, with unlimited history
- •Teams or individuals who need keyword gap analysis against uncapped competitors
- •Anyone focused on aso workflows
- •Anyone focused on app-store workflows
🔎 Other SEO Tools Tools to Consider
Not Human Search and Sonar aren't the only options. Here are other popular tools in the same space:
Surfer SEO
AI-powered content optimization and SEO analysis tool.
Scalenut
All-in-one AI SEO and content marketing platform.
Frase
AI content research and writing tool.
SeekinWeb
Spanish-first AI visibility scanner that audits 8 agentic-readability signals and generates your llms.txt
OpenSEO
Open-source Semrush/Ahrefs alternative with an MCP server so your AI agent can run keyword, backlink, and GSC research directly
Limy
Track brand visibility across AI search and tie it to revenue, with content generation built in
Is one of these your tool?
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Frequently Asked Questions
Is Not Human Search better than Sonar?
It depends on your needs. Not Human Search offers 7 key features including 0–100 agent-readiness score across multiple machine-readable signals and Checks for llms.txt, OpenAPI, MCP endpoints and Schema.org markup, while Sonar provides 6 features including Keyword volume pulled from Apple Search Ads and Google Play autocomplete, not estimates and 0–100 keyword difficulty scored against the current top-ten ranking apps. Not Human Search uses a free model with a free tier, while Sonar is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is Not Human Search cheaper than Sonar?
Not Human Search doesn't have standard paid plans, while Sonar starts at $19/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Not Human Search and Sonar together?
Yes, many users combine Not Human Search and Sonar in their workflow. Not Human Search excels at 0–100 agent-readiness score across multiple machine-readable signals, while Sonar shines with keyword volume pulled from apple search ads and google play autocomplete, not estimates. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Not Human Search and Sonar?
While both are seo tools tools, Not Human Search emphasizes 0–100 agent-readiness score across multiple machine-readable signals, whereas Sonar is known for keyword volume pulled from apple search ads and google play autocomplete, not estimates. The best choice depends on your specific workflow and feature priorities.
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