AI search optimization for DevOps & dev tools

When your buyers ask AI for the best DevOps & dev tools, does your name come up?

Clear Cited measures exactly where ChatGPT, Perplexity, Claude, Gemini, and Google AI recommend your competitors and not you — with reproducible data, not screenshots — then fixes it. The full-stack engine behind it: SEO foundation, content, and authority — measured by share-of-model. Built for engineers, platform/SRE teams, and the founders + DevRel who sell to them.

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Why DevOps & dev tools win or lose in AI search first

Developers ask ChatGPT, Perplexity and Copilot which tool to use; if the model doesn't name you, you're cut before the evaluation even starts.

Engineers, platform/SRE teams, and the founders + DevRel who sell to them are exactly who we built this for. Buyers now ask AI before they shortlist, and AI visibility is engine-specific — you can't optimize once. We measure where ChatGPT, Perplexity, Claude, Gemini, and Google AI recommend you (and don't), reproducibly, then fix it.

The categories we cover for DevOps & dev tools

If your product competes in any of these, your buyers are already asking AI to rank it:

AI observability toolsCI/CD platformsfeature-flag & experimentationAPI gatewaysincident managementinfrastructure-as-codeKubernetes & container toolingsecrets managementlog management

How AI visibility works for DevOps & dev tools

In one line: we find the buyer prompts that decide your category, measure who each AI engine recommends for them, and get you into those answers — mostly via the third-party sources (reviews, comparisons, communities) that ~95% of AI citations come from.

1. Money prompts

We build the exact questions your buyers ask AI — prompts like "best AI observability tools for a small team", "best CI/CD platforms in 2026", "AI observability tools alternatives", "is there a cheaper alternative to the incumbent?" — from your category language and sales calls.

2. Measure every engine

Each prompt runs 10+ times across ChatGPT, Perplexity, Claude, Gemini, Copilot, and Google AI Overviews — median + 95% confidence interval, because a single answer is noise.

3. Your share of model

How often each engine recommends you vs. named competitors, plus the exact prompts where they win and you're invisible — and the sources the AI pulled from.

4. Fix, build & monitor

Done-for-you: we fix the SEO foundation, produce the content, and earn the off-site authority on a prioritized roadmap — AI-speed, human-approved, with every asset tuned to what actually performs in your niche (researched across YouTube, Reddit, Dev.to, Hashnode, Medium, Stack Exchange, and search) — then track weekly so your share of model climbs and stays. The full-stack service →

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

Our wedge
Share-of-model measurement5 engines (ChatGPT · Perplexity · Gemini · Claude · Google AI)Answer-first content & schemaEngine-by-engine fixesMonthly re-measurement

SEO foundation

The ground AEO stands on

Included

Technical SEOSERP / keywordBacklinks & domain authorityCore Web VitalsInternal linkingSchema / structured data

Done-for-you content

We write & publish — not just brief

Published across 30+ channels — your accounts, tuned per platform

LinkedInXRedditYouTubeDev.toHashnode+9 more

On your domain

Answer-first articlesComparison & benchmark pagesVideo + VideoObject schema

Off-site authority

Listing & review sites the models cite

Curated entity work — Boost 30+ · Growth 60+ · Authority 100+

G2CapterraCrunchbaseProduct Hunt+ dozens more

Digital PR — earned coverage (best-effort)

Expert commentaryReporter-query responsesData-led story pitches
AI-speed, human-approved — every asset is researched, drafted, and a human approves it before it ships.

Who this is for

Engineers, platform/SRE teams, and the founders + DevRel who sell to them — specifically the people who own the pipeline number:

Founder/CTOHead of DevRelDeveloper Marketing LeadPlatform/Infrastructure LeadHead of Growth

We don't just measure — we run the whole stack for you across a clear ladder: one-time audits (Starter $500, Full $2,000, Comprehensive $3,500) and done-for-you retainers (Growth $1,500/mo, Scale $3,500/mo, Authority $6,500/mo), plus à‑la‑carte add-ons (blog posts, a social content pack, video, directory listings, and digital PR) from $300. Every asset is tuned to what actually performs in your niche — researched across YouTube, Reddit, Dev.to, Hashnode, Medium, Stack Exchange, and search — not guesswork. See pricing, add-ons & packages →

See where you stand across the AI engines — free.

Get your free teardown How the audit works

FAQ

Why does AI search visibility matter for DevOps & dev tools?

Developers ask ChatGPT, Perplexity and Copilot which tool to use; if the model doesn't name you, you're cut before the evaluation even starts. Buyers in DevOps & dev tools increasingly open ChatGPT, Perplexity or Claude and ask for the best option in a category before they ever visit a vendor site — so the engine's shortlist becomes your shortlist.

Which buyer prompts do you measure for DevOps & dev tools?

We build your “money prompt” set from how your buyers actually ask — prompts like "best AI observability tools for a small team", "best CI/CD platforms in 2026", "AI observability tools alternatives", "is there a cheaper alternative to the incumbent?" — across the categories you compete in (AI observability tools, CI/CD platforms, feature-flag & experimentation, API gateways, incident management, infrastructure-as-code, Kubernetes & container tooling, secrets management, and log management).

Who is this for?

Engineers, platform/SRE teams, and the founders + DevRel who sell to them. We report to the people who own the number: Founder/CTO, Head of DevRel, Developer Marketing Lead, Platform/Infrastructure Lead, and Head of Growth.

Which AI engines do you cover?

ChatGPT, Perplexity, Claude, Gemini, Microsoft Copilot, and Google AI Overviews / AI Mode — each recommends a different set of tools, so we measure and fix per engine, not once.

Do you guarantee we'll get cited?

No honest provider can — AI engines change constantly. We guarantee reproducible measurement (each prompt run 10+ times per engine, median with a 95% confidence interval) and evidence-based work tied to a share-of-model target.