For observability, monitoring, API & dev-infrastructure SaaS
Get your developer tool recommended when engineers ask AI
When a platform engineer asks ChatGPT "best observability tool for Kubernetes" or Perplexity "Datadog alternatives," does your product show up? Clear Cited measures it across every engine and gets you into the answer.
Get a free teardown for your toolWhy developer tools win or lose in AI search first
That makes AI visibility higher-stakes for developer tools than almost any category — and it's why we niched here. Technical buyers also reward exactly what we do: transparent, reproducible, data-backed measurement instead of marketing fluff.
The buyer questions we measure for your category
We build your "money prompt" set from how engineers actually ask. Examples by sub-category:
Observability & monitoring
"Best observability platform for microservices," "Datadog alternatives," "cheapest APM for a small team," "open-source monitoring vs SaaS." See the observability AEO playbook →
API & dev infrastructure
"Best API gateway for startups," "Kong alternatives," "managed Postgres for serverless," "fastest CI/CD for a monorepo." See the API & dev-infra AEO playbook →
CI/CD platforms
"Best CI/CD for a Series A startup," "GitHub Actions alternatives," "GitLab CI vs Jenkins," "CI/CD for Kubernetes / GitOps." See the CI/CD AEO playbook →
Databases
"Best database for a SaaS," "Postgres vs MongoDB," "serverless / managed database," "cheapest database for high traffic." See the databases AEO playbook →
Feature flag platforms
"Best feature flag platform," "LaunchDarkly alternatives," "open-source feature flags," "flags with built-in experimentation." See the feature-flags AEO playbook →
Vector databases
"Best vector database for RAG," "Pinecone alternatives," "Qdrant vs Milvus," "self-hosted vector search." See the vector-DB AEO playbook →
Security & data tooling
"Best secrets manager for cloud-native teams," "SAST tools with low false positives," "Snowflake vs alternatives for a Series A."
Claude matters here — most "AEO agencies" ignore it
Claude is disproportionately used by developers and technical teams, yet most providers only track ChatGPT and Google. We measure ChatGPT, Perplexity, Claude, Gemini, Copilot, and Google AI Overviews/AI Mode — because each one recommends a different set of tools, and your buyers use all of them.
What you get
Your share of model
How often each engine recommends you vs. named competitors (e.g., Datadog, Grafana, New Relic), with confidence intervals.
The gap map
The exact prompts where competitors win and you're invisible — and the third-party sources (Reddit, G2, comparison pages) the AI pulled from.
A prioritized fix list
Technical (schema, AI-bot access), entity (how AI identifies your product), and off-page (where to earn citations) — sequenced by impact.
Ongoing monitoring
Roughly 40–60% of AI-cited sources change month over month (Profound). We track weekly and keep you in the answer as the engines change.
Get your free teardown Free tools & AEO checklist See the best AEO tools
What's included
The outcome is share of model. Here's the engine beneath it.
AI-answer optimization
The wedge — we get you named and cited in AI answers
SEO foundation
The ground AEO stands on
Included
Done-for-you content
We write & publish — not just brief
Published across 30+ channels — your accounts, tuned per platform
On your domain
Off-site authority
Listing & review sites the models cite
Curated entity work — Boost 30+ · Growth 60+ · Authority 100+
Digital PR — earned coverage (best-effort)