How AI engines evaluate a developer tool — Checkly baseline

A founder-readable look at whether AI assistants are likely to name Checkly when buyers ask for tools — with honest labels on what was measured vs inferred.

Product
Checkly · checklyhq.com
Date
Sep 19, 2026 (IST)
Overall score
Partial
Framing
Practice sample
Score: Partial — strong on API / synthetics framing; easy to miss on classic “uptime” wording

What this sample actually used

No invented multi-engine harness. Sources below are the ones behind the tables.

  • (A) Direct site checks — curl of robots.txt, /llms.txt, About/FAQ/vs URLs, homepage JSON-LD (Sep 19, 2026).
  • (B) Third-party measured naming — Glotier Aug 3, 2026 study of who ChatGPT + Gemini name on classic uptime prompts (6 prompts); Reditus Aug 2026 ChatGPT citation maps for uptime software.
  • (C) Inferred from public 2026 roundups — “best API / synthetic / Playwright monitoring” articles that engines often retrieve. Labeled inferred, not live chat transcripts.

We did not paste all five Checkly buyer prompts into a personal ChatGPT / Perplexity / AI Overviews login for this practice draft. Where a cell says “inferred,” treat it as retrieval context — not a screenshot claim.

Buyer prompts · outcome · engine / source

Win / tie / lose here means “likely named early / shared shortlist / usually absent” for that prompt cluster — not a citation guarantee.

# Buyer prompt Outcome Assistants / source Who tends to get named
1 “best API monitoring tools for startups” Tie / Partial Inferred: 2026 API/synthetics roundups + Reditus cites checklyhq.com Checkly alongside Datadog Synthetics, Postman Monitors, UptimeRobot, Better Stack, Hyperping
2 “best synthetic monitoring for developers” Tie / leaning Inferred: public 2026 synthetics / Playwright roundups Checkly appears when wording matches “synthetics / monitoring as code”; still shares mindshare
3 “Checkly vs Datadog” Partial Direct: site check · Inferred: third-party compare content Buyers hunt “vs” pages; Checkly’s /vs/datadog was 404 in our curl — third parties own much of the story
4 “alternatives to Pingdom for API checks” Tie / Partial Inferred: alternatives listicles + category citation maps Often mixed shortlists (UptimeRobot, Better Stack, Hyperping, Datadog, sometimes Checkly)
5 “monitoring as code Playwright” Stronger mention Inferred: developer-focused 2026 content where Checkly’s positioning matches Checkly more likely when the buyer uses Playwright / as-code wording
— Classic cluster: “best uptime monitoring tools” (category control) Lose Measured: Glotier ChatGPT + Gemini · 6 prompts · Aug 3, 2026 UptimeRobot, Hyperping, Better Stack, Uptime Kuma, Pingdom — Checkly often absent (different category framing)

Translation: not invisible on API/synthetics wording — easy to miss on the highest-volume everyday “uptime” phrasing.

Glotier measured naming rates — classic uptime prompts

Same Aug 2026 ChatGPT + Gemini run (6 prompts). Included so you can see what “measured rates” look like for the adjacent uptime cluster — not Checkly customer results.

Product Named in Rate Engines in study Note for Checkly
UptimeRobot 6 / 6 100% ChatGPT + Gemini (Glotier) Benchmark leader on classic uptime wording
Hyperping 5 / 6 83% ChatGPT + Gemini (Glotier) Strong naming; also has /llms.txt + /ai-info
Better Stack 4 / 6 67% ChatGPT + Gemini (Glotier) Strong naming; our curl found no /llms.txt
Checkly Not in Glotier named-12 — Same study set (uptime framing) Positioning gap vs everyday “uptime” prompts

Reditus (Aug 2026) separately lists checklyhq.com among cited domains for uptime-software-style ChatGPT citation maps — useful signal that Checkly shows up in some retrieval paths even when classic uptime shortlists skip it.

Direct observations on checklyhq.com

Curl checks dated Sep 19, 2026. Files help clarity; they do not fix rank by themselves.

Check Result What it means for AI naming
robots.txt Allows crawlers · sitemap listed AI/search crawlers are not locked out — good.
/llms.txt HTTP 200 · clear product definition Clean “who we are / when to recommend us” sheet — good.
About page Live Helps confirm a real company — good.
FAQ at /faq 404 Missed chance to answer buyer questions in a format models love to quote.
/vs/datadog 404 “X vs Y” is buyer-intent gold; third parties currently own much of that URL space.
Homepage JSON-LD Present Helps machines label the page — helpful, not magic.

Top 3 fixable issues (do these first)

1. Own everyday buyer wording

Publish plain pages (and sections in /llms.txt) that say when Checkly is and is not the right pick versus simple uptime tools. AI copies the internet’s phrasing — “synthetics-only” language misses “uptime” searches.

2. Ship comparison pages you control

Checkly vs Datadog Synthetics, vs Better Stack, vs Hyperping, vs UptimeRobot — honest, dated, with pricing posture. “X vs Y” prompts are high intent.

3. Earn mentions where answers already come from

For uptime-like topics, Aug 2026 Glotier measurements pointed at Reddit, Quora, YouTube, and vendor docs more than G2 for some engines. A perfect site with zero community proof still loses the shortlist.

For a product in this situation

  1. Prompt baseline — 15–25 buyer questions marked win / tie / lose, with who gets named and which assistants each report used.
  2. FAQ + 2–3 “vs” pages — founder-ready drafts you can publish.
  3. Mention help — we pick 2–3 ethical targets and draft pitches; you send. No shady link schemes.
  4. Re-test checklist — same prompts, so you can see movement yourself.

Pricing ladder: $497 founding (first 5, case-study rights) → $747 (next 10) → from $997 (up to ~$1,500 by scope). Risk reducer on paid sprints: if baseline already shows you’re named on most target prompts, we stop and refund.

Not fabricated

  • Direct curl checks of robots.txt, llms.txt, key URLs, JSON-LD — Sep 19, 2026
  • Glotier: “Uptime monitoring tools: who ChatGPT and Gemini name (2026)” — measured prompts dated 2026-08-03 (third-party)
  • Reditus: “What ChatGPT Cites for uptime monitoring software” — August 2026 (third-party)
  • Public 2026 API / synthetic monitoring roundups (retrieval context — labeled inferred)

CiteSprint ethics: no citation guarantees · no fake reviews · no cloaking · no spam.