SiftServe vs GitMir

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

SiftServe compared with GitMir
Detail	SiftServe	GitMir
What it does	Web infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge	AI model of your product's business logic accessible to people and AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	AE	GB
Pricing model	Freemium	Freemium
Pricing	Free eight-week pilot including onboarding and model costs. Three paid plans after pilot: Pay as you go (self-serve, usage-based), Subscription (self-serve, monthly or annual flat fee), and Managed (done by company, pricing quoted per site). All plans quoted per individual site based on page count,	Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features	AI agent rebuilds pages into semantic HTML, FAQs, and structured data Vision pass captures facts locked inside images Sifted pages use roughly 90% fewer tokens than originals Served from edge, humans and search crawlers see original site unchanged Before-and-after audit score for every page Measures citations and AI referrals from sifted pages	Builds features, rules and customer paths and keeps them current with every push Shows what each commit changed in the business logic, not only in the code Provides change impact analysis before merge showing what could break Checks PRDs and specifications against the product Delivers understanding to AI agents over MCP Runs locally on your machine with GMM Local Finds risky patterns and problems in the product Enterprise deployment inside your security boundary Integrates with Claude Code, Cursor, Codex and VS Code MCP access for agents with 1-10 credits per answer
What makes it different	Only AI agents see sifted pages; humans and Google crawlers see original site unchanged Every claim traces 1:1 to original pages; AI never fabricates or adds content 90% fewer tokens per page while carrying 37% more readable content Human in the loop approval for every page before serving to agents Measures results with before-and-after comparison on your traffic	Nearly 3× fewer errors on Benchmark 001 compared to alternatives 8.4K tokens per question instead of 27.4K for competitors Results published and measurable; method is proprietary Reduces AI cost per completed agent action from $0.35 to $0.08
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	22 +1 (up) since last check	27 no change since last check
Trust Flow (Majestic)	9	3
Citation Flow (Majestic)	27	28
Referring domains (Majestic)	61	50

6 details filled in for both companies.

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