Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

CGFTcgft.io

CGFT offers custom Large Language Models (LLMs) specifically trained for engineering teams, providing secure deployment in VPC and optimization across the software development lifecycle.

Developer & AI Platformcgft.ioTracked since 2026-08-211 discovery source
165Backlinks
49Referring domains
15Domain authority
+15.8%Referring domains · 90 days

Authority & distribution

How strong is CGFT’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

165Current snapshot

Referring domains

49Current snapshot

Authority

15Domain authority · category median 22

90-day move

+15.8%Referring domains, last 90 days
At 15, CGFT sits below the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where CGFT ranks

Measured · Pro

Measured for this product: global rank and country rank.

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AI referral visibility

Which AI assistants are already sending CGFT traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What CGFT is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“CGFT”

CGFT offers custom Large Language Models (LLMs) specifically trained for engineering teams, providing secure deployment in VPC and optimization across the software development lifecycle.

Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.cgft.io

Observed across 1 discovery source.

Research questions

What the evidence answers about CGFT.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does CGFT do?

CGFT offers custom Large Language Models (LLMs) specifically trained for engineering teams. These models can be securely deployed in a VPC and are optimized for the software development lifecycle.

In what situations is CGFT used?

CGFT is used in situations requiring secure, custom AI models for software development tasks like code completion, optimization, and repository analysis. It provides optimization across the entire software development lifecycle.

What features does CGFT offer?

CGFT offers custom LLMs, secure deployment in a Virtual Private Cloud (VPC), and optimization across the software development lifecycle. Specific capabilities mentioned include repository analysis, code completion, and code optimization.

How does CGFT compare to the median product in its category?

The Developer & AI Platform category contains 2,619 products. The median domain authority is 22, and the median AI traffic visits are 0.0, indicating many products in this category have minimal measured AI referral traffic.

Who is CGFT designed for?

CGFT is designed for engineering teams and enterprise software developers. It falls under the Developer & AI Platform category, providing tools for the software development workflow.

What is CGFT?

CGFT is a product that provides custom Large Language Models (LLMs) specifically trained for engineering teams, with a focus on secure deployment and optimization for the software development lifecycle.

Behind the lock

Unlock full CGFT intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured