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SiftServe vs Cogni

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 Cogni
DetailSiftServe logo SiftServe Cogni
What it doesWeb infrastructure that translates your site into an AI-readable version approved by you and served to agents at the edge Memory that reasons
StageNot given Not given
FoundedNot given Not given
Based inAE US
Pricing modelFreemium Freemium
PricingFree 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 plan at $0 USD; Pro plan at $5 USD per month.
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
  • Entity-graph spreading activation for cross-vocabulary retrieval
  • Works with any LLM model
  • No LLM or GPU in retrieval path
  • Point-in-time and windowed recall
  • Timestamped memories
  • Fixed recall cost as memory grows
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
  • Reaches answers across unrelated documents that share no keywords, where vector search scores zero
  • Deterministic retrieval with no model in the path, so results never vary between queries
  • Constant per-query cost regardless of memory size, even at 32,000 words
  • No infrastructure to run—no vector database, cluster, or GPU needed
  • Works with any model, so small local models gain the most from better retrieval
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)22 +1 (up) since last check4 no change since last check
Trust Flow (Majestic)92
Citation Flow (Majestic)2721
Referring domains (Majestic)6134

6 details filled in for both companies.

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