relay

relay.app

Last audited: May 3, 2026

Key KPIs

AIO score

Strong

73

out of 100

Hallucinations detected

Detected

1 / 4

One or more questions flagged

How hallucinations are detected

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Bottom line up front

Audit Result: relay.app has measurable AI hallucination risk (Score: 1/4) due to non-compliant LLM crawlability — weakest pillar in this run was Renderability & JS (6/100).

Diagnostic summary. Our audit detected that relay relies heavily on JavaScript-dependent rendering and hydration; therefore, the raw HTML often does not contain the same relevant information humans see after the page finishes loading.

Hallucination evidence (Ghost Q&A)

Pages sampled for Ghost Q&A (one per question)

Coverage: complete · Certainty: high

Page: https://relay.app/integrations

What integrations are listed?

Flagged

Red panel: first automated snapshot. Green panel: what visitors see on the hydrated page — automation should match this.

This is what the AI crawler sees


                    01  not found
                  

This is what humans see and the AI crawler should too

                    01  1Password  
02  ActiveCampaign  
03  Airtable  
04  Anthropic  
05  Apify  
06  Apollo  
07  App Store  
08  Asana  
09  Ashby  
10  AssemblyAI  
11  Attio  
12  Axiom.ai  
13  beehiiv  
14  bitly  
15  Bloobirds  
16  Bluesky  
17  Box  
18  Brevo  
                  

All sampled questions

  • What is the pricing? OK
  • What are the main features? OK
  • What integrations are listed? Flagged
  • What security or compliance claims are present? OK
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Executive summary & pillar breakdown

Executive summary

  • AIO readiness is strong (73/100), indicating solid visibility for AI answer engines.
  • Hallucinations detected: 1 / 4, meaning one or more sampled answers didn’t line up across the different ways automation reads your pages, which can make AI answers drift.
  • Coverage scope is complete with high confidence, so this audit should be treated as decision-ready.

Category breakdown

  • Technical & crawlability20
  • Renderability & JS6
  • Structure & readability25
  • Metadata & consistency22

Coverage: complete · Certainty: high

Prioritized remediation

Compare to peers

Report FAQ

What is the Ghost test, and how is hallucination detected?

The Ghost test is a short Q&A pass on pages we sample. We ask ChatGPT the same question twice: once using the page's raw HTML (what you get from a simple fetch, before JavaScript runs—like a basic crawler), and once using the visible text after the page's JavaScript has run (what we capture with a real browser). If the raw-HTML pass can barely answer or says the information isn't there, but the fully rendered pass can answer in a clearer, fuller way, we flag hallucination risk—because an AI that only saw the static HTML could answer very differently from one that sees the page the way a visitor does.

How is the AIO score calculated?

The AIO score combines four pillar scores—how discoverable the site is, how reliably content shows up for automation, how clear the layout and wording are, and how well titles and previews match the page. The total is shown as a single 0–100 number so you can compare runs over time.

What does confidence mean?

Confidence reflects how complete and consistent the evidence was in this audit. Higher confidence means we had enough stable signal to treat the results as a stronger guide; lower confidence means you should treat it as directional and validate anything critical.

Why can hallucinations be detected with a decent structural score?

Structure is about organization and readability. Hallucination flags compare whether answers match across different ways automation reads the same page. A site can look well organized yet still show different facts in different readings, which is how inconsistent AI answers slip through.

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