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

Respanrespan.ai

Route, track, and debug all LLM traffic.

Developer & AI Platformrespan.aiTracked since 2026-08-192 discovery sources
6KBacklinks
637Referring domains
27Domain authority
+32.0%Referring domains · 90 days

Authority & distribution

How strong is Respan’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

6KCurrent snapshot

Referring domains

637Current snapshot

Authority

27Domain authority · category median 22

90-day move

+32.0%Referring domains, last 90 days
At 27, Respan 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

Where Respan 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 Respan 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 Respan is selling.

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

“Respan”

Route, track, and debug all LLM traffic.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage 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.respan.ai/

Observed across 2 discovery sources.

Research questions

What the evidence answers about Respan.

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 Respan solve for developers building with large language models?

Respan helps developers route, observe, and evaluate all their LLM traffic through a single platform. It solves the problem of managing multiple providers and unreliable models by offering an AI gateway with automatic fallbacks, response caching, and spend limits, along with tools for tracing, monitoring, and running evaluations to ship reliable AI applications.

What are the core features and components of the Respan platform?

Respan is an LLM engineering platform that unifies observability, evals, prompt optimization, and an AI gateway. Its core components include a gateway for routing traffic to 1,000+ models with automatic fallbacks and caching, and an evaluation system that scores outputs using LLM judges, code checks, or human review to ship the best-performing version.

Who is the Respan platform designed for?

Respan is designed for development teams building and shipping AI applications, as indicated by its categorization as a Developer & AI Platform. It serves teams that need to manage, monitor, and optimize their interactions with multiple LLM providers.

How is the Respan product packaged or priced according to its features?

The evidence indicates Respan includes features for setting budgets and limits at every scope, such as per key, per customer, or organization-wide, with warnings and blocking when approaching thresholds. However, specific pricing tiers or cost details are not provided in the available evidence.

What is Respan?

Respan is an LLM engineering platform that provides a unified gateway, observability, and evaluation tools to help development teams route, monitor, and optimize all of their large language model traffic.

5 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 Respan intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 3 of them do it, and the 6 pages 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.
  • 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