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Market/Categories/Developer & AI Platform/Agentset.ai

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

Agentset.ai

Open-source local Semantic Search + RAG for your data

Developer & AI Platformagentset.aiTracked since 2026-08-193 discovery sources
3.1KBacklinks
215Referring domains
25Domain authority
+29.6%Referring domains · 90 days

Authority & distribution

How strong is Agentset.ai’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

3.1KCurrent snapshot

Referring domains

215Current snapshot

Authority

25Domain authority · category median 22

90-day move

+29.6%Referring domains, last 90 days
At 25, Agentset.ai sits above 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

How big is Agentset.ai — and how engaged are visitors?

Measured · Pro

Measured for this product: monthly visits and growth, visit quality, global rank and country rank.

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AI referral visibility

Which AI assistants are already sending Agentset.ai traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Agentset.ai is selling.

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

“Agentset.ai”

Open-source local Semantic Search + RAG for your data

Developer & AI PlatformSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

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

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

Canonical website: https://agentset.ai/

Observed across 3 discovery sources.

Research questions

What the evidence answers about Agentset.ai.

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

What problem does Agentset.ai solve?

Agentset.ai is an open-source platform that helps developers build AI applications delivering reliable answers from their data without needing RAG expertise. It provides production-grade semantic search and retrieval-augmented generation capabilities.

What features, integrations, or capabilities does Agentset.ai offer?

Agentset.ai offers features including accurate answers with industry benchmark performance, multimodal support for images/graphs/tables, automatic source citations, metadata filtering, preview links for feedback, and developer tools with 22+ file format support via SDKs. It is model agnostic and integrates with various vector databases, embedding models, and LLMs.

What is Agentset.ai used for and in what situations?

Agentset.ai is used to build AI chat and search applications. It is designed for situations where developers need to create reliable, citation-backed answers from diverse data sources, including documents, images, tables, and graphs.

Who is Agentset.ai for?

Agentset.ai is for developers who want to build AI applications with chat and search capabilities. The platform is built for developers and offers JavaScript and Python SDKs for data integration.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Agentset.ai intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which one of them does it, and the page they land on.
  • 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.
  • Traffic and engagementMonthly visits, the history behind them, and what visitors do once they arrive.
  • 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