Google Search Console MCP vs iLang Inc.
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Google Search Console MCP compared with iLang Inc.
| Detail | 
Google Search Console MCP | 
iLang Inc. |
|---|
| What it does | Ask Search Console in plain language from Claude, ChatGPT, Cursor or Claude Code
| The native language of AI; in human terms, a protocol.
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| Stage | Growing
| Startup
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| Founded | Not given
| 2026
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| Based in | Not given
| CA
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| Pricing model | Free
| Open source
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| Pricing | Free with no credit card required, no trial limits, and no paywall features.
| Not given
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| Key features | - Read Search Console data in plain language
- Site overview with clicks, impressions, CTR and average position
- Find ranking opportunities for queries ranking 5-20
- Detect keyword cannibalization across pages
- Analyze branded vs non-branded search traffic
- Inspect URL indexing status and crawl data
- View submitted sitemaps and their errors
- Works with Claude, ChatGPT, Cursor and other MCP clients
- Encrypted token storage and hash-based link revocation
| - AI-native communication protocol with 88 verbs and two syntaxes
- AI See: give any AI model vision by pasting i.ilang.ai URLs
- Zero installation required, pure text format
- Works across ChatGPT, Claude, Gemini, DeepSeek, Qwen and other models
- Loader available via pip and npm for automatic protocol injection
- Prompt compression: 67% reduction in tokens for typical instructions
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| What makes it different | - No Google Cloud project or credentials.json required to set up
- Completely free with no card, trial limits, or locked features
- Read-only access prevents any modifications to Search Console data
- Works with any MCP client that supports remote servers
| - First protocol to formally map Greek mathematical symbols as primitive verbs for AI-to-AI communication
- Computable vector space for AI judgment using 11 dimensions and fuzzy mathematics instead of binary classification
- Open source and MIT licensed with no royalties or approval required
- Operates at the instruction and behavioral layer, complementary to MCP and A2A protocols
- Tested and benchmarked with public conformance results and DOI-registered research
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 29 ▼ −1 (down) since last check | 38 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 19 | 7 |
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| Citation Flow (Majestic) | 30 | 27 |
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| Referring domains (Majestic) | 22 | 66 |
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5 details filled in for both companies.
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