I ran a practice AI-answer visibility audit on a public developer tool (Checkly) — not a customer engagement, and not a claim that CiteSprint "works for Checkly."
The full tables (prompts, sources, direct site checks) are here:
Sample audit → citesprint.tech/sample-audit.html
This post is the short version of what surprised me.
The gap isn't "robots.txt"
Direct curls (Sep 19, 2026) on checklyhq.com found:
-
robots.txtallowing crawlers -
/llms.txtlive with a clear product definition - homepage JSON-LD present
- FAQ
/faq→ 404 /vs/datadog→ 404
So the site isn't "blocked from AI." The bigger hole is quotable buyer pages: FAQs and honest "vs" pages that models (and humans) can retrieve when someone asks comparison questions.
Files help clarity. They don't fix rank by themselves.
Same product, different wording → different shortlists
On API / synthetics / Playwright / monitoring-as-code wording, Checkly often looks like a tie / partial — shared shortlists with Datadog Synthetics, Postman Monitors, Better Stack, Hyperping, etc. (those cells are labeled inferred from public 2026 roundups + Reditus citation maps — not live chat screenshots).
On the classic uptime cluster ("best uptime monitoring tools"), a third-party measured study tells a harsher story:
Glotier, Aug 3, 2026 — ChatGPT + Gemini, 6 classic uptime prompts (full table in the sample audit):
| Product | Named in | Rate |
|---|---|---|
| UptimeRobot | 6 / 6 | 100% |
| Hyperping | 5 / 6 | 83% |
| Better Stack | 4 / 6 | 67% |
| Checkly | not in named-12 | — |
Checkly's positioning is stronger when buyers already speak "synthetics / as-code." Everyday "uptime" phrasing still tends to surface a different roster.
That's the useful founder lesson: being named sometimes ≠ owning the highest-volume buyer wording.
What I'd ship first (for any similar tool)
- Prompt baseline — 15–25 buyer questions scored win / tie / lose, with which assistants each report actually used (no invented multi-engine roster).
- FAQ + 2–3 honest vs pages — markdown you can merge as a PR, written so assistants can quote you without inventing claims.
- A few ethical mention targets — awesome-lists, useful SO context, high-rep threads — draft the packet; the founder sends.
- Re-test the same prompts — so movement is visible, not promised.
I productized that as a one-time sprint (CiteSprint) with a founding ladder and a risk reducer: if the paid baseline already shows you're named on most agreed prompts, stop and refund.
Honesty rules I won't break in public
- Practice demos cite direct site checks, named third-party studies (Glotier / Reditus), and clearly labeled inferred roundups.
- I will not claim "we measured ChatGPT + Perplexity + Claude + AI Overviews on every prompt" unless the harness for that engagement actually did.
- No citation guarantees. Models change.
If you want the full tables and source list, start here: sample Checkly audit.
Questions / pushback welcome — especially if you've seen different naming on classic uptime vs synthetics wording in your own runs.
Top comments (3)
Thank you for the positive feedback.
Appreciate you reading it — curious whether you've seen the same gap between synthetics wording and classic uptime shortlists in your own AI answer checks.
"Uptime monitoring" is still the phrase most people type, but newer use cases like cron jobs and AI agents come with their own vocabulary (heartbeat, dead man's switch, agent monitoring), and it's an open question which tools those shortlists will surface.