dialora

dialora.ai

Last audited: May 3, 2026

Key KPIs

AIO score

Strong

78

out of 100

Hallucinations detected

None detected

0 / 1

No sampled questions flagged

How hallucinations are detected

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Bottom line up front

Audit Result: dialora.ai has low observed hallucination risk in this Ghost Q&A sample (Score: 0/1) due to non-compliant LLM crawlability — weakest pillar in this run was Renderability & JS (7/100).

Diagnostic summary. Our audit detected that dialora is comparatively weakest in renderability & JavaScript (7/100); therefore, the raw HTML may not reliably surface everything LLM crawlers need to quote your brand accurately.

Hallucination evidence (Ghost Q&A)

Reference: https://dialora.ai/

Page: https://dialora.ai/

What is this, and how does it make my life better?

OK

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  Dialora.ai is a platform that provides pre-trained AI voice agents for businesses, allowing them to automate customer service, sales, and outreach. It can handle both incoming and outgoing calls, arrange appointments, answer FAQs, send reminders, and follow up with customers without the need for human agents. This makes your life better by improving efficiency, saving time, and allowing you to focus on growing your business while ensuring smooth and professional interactions with customers.
                  

This is what humans see and the AI crawler should too

                    01  Dialora.ai is an AI voice agent platform that automates customer interactions by handling both incoming and outgoing calls, scheduling appointments, answering FAQs, and following up with leads without the need for human agents. It makes your life better by saving you time and effort, allowing you to manage customer calls and lead follow-ups efficiently, effectively acting as a 24/7 receptionist for your business.
                  
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Executive summary & pillar breakdown

Executive summary

  • AIO readiness is strong (78/100), indicating solid visibility for AI answer engines.
  • Hallucinations detected: 0 / 1, meaning those sampled answers lined up across the ways we read the page in this run.
  • Coverage scope is complete with high confidence, so this audit should be treated as decision-ready.

Category breakdown

  • Technical & crawlability25
  • Renderability & JS7
  • Structure & readability24
  • Metadata & consistency22

Coverage: complete · Certainty: high

Prioritized remediation

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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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