Research and guides on making products easier for AI agents to discover, recommend, and use.
Lightsage announces $4M in funding led by Nexus Venture Partners to build the Agent-Led Growth platform, helping software companies understand and improve how AI agents discover, use, and pay for their products.
Coding agents read your docs without running your analytics snippet, so their visits end up as bot noise, as Direct, or nowhere. Why it happens, and three checks to see how much you're missing.
When a coding agent picks an API, it leaves no search query, ranking or referrer for your analytics. What disappears, why the pick sticks, and how to find out who agents choose.
Coding agents now find, try and pick developer tools for developers. What they judge you on, why your funnel can't see it, and one test to run today.
Compare Lightsage and Profound for AI visibility. Learn when to focus on answer-engine brand representation versus coding-agent discovery and execution.
Help coding agents discover, choose, and use your developer product. A practical guide to documentation, product interfaces, competitor testing, and measurement.
Agent-Led Growth is a go-to-market strategy for winning customers whose AI agents discover, evaluate, select, and use products on their behalf.
Compare platforms for testing how AI agents authenticate, call developer APIs, recover from errors, and complete real integration tasks.
Compare CLI usability scoring platforms for AI agents across authentication, non-interactive use, JSON output, task completion, cost, and errors.
Learn how to evaluate MCP compatibility across coding agents with protocol checks, task benchmarks, trace analysis, safety tests, and an actionable scorecard.
Agent Experience is how well AI agents can discover, understand, choose, and use your product. Learn the AX lifecycle, metrics, and practical improvements.
Why does Claude Code recommend Stripe over Square? The 7 factors that determine which APIs coding agents suggest, from 70+ benchmarks.
From training data to shell execution: the 4-layer stack that determines whether Claude Code recommends your CLI tool over a competitor's.
Your API might rank #1 while your CLI is invisible. Here's how to measure visibility across all 4 surfaces coding agents use to discover developer tools.
GA4 relies on client-side JavaScript that AI agents often skip. Here's the technical explanation for why agent traffic disappears or shows as Direct.
Track AI recommendations for your API and compare popular platforms for monitoring brand sentiment across answer engines and coding agents.
AI coding agents are a primary discovery channel for devtools. Here's the measurement framework API teams need in 2026.
The best GEO tools for devtools compared. Which tracks coding agents? Which tracks ChatGPT? Lightsage vs Profound vs Otterly vs AthenaHQ breakdown for API teams.
From training data to web search to tool calls — the 4-layer stack that determines whether Claude Code recommends your SDK.
GEO for devtools requires tracking coding agents, not just ChatGPT. Learn why consumer GEO tools fail for APIs and what to measure instead in 2026.
We tested 70+ APIs in Claude Code and Codex with live API keys. Here's what separated top performers from invisible APIs.
Great docs but AI agents never suggest your SDK? The 4 reasons Claude Code and Codex skip your library — and how to fix them.
