AIO score
Strong70
out of 100
featurebase.app
Last audited: May 3, 2026
AIO score
Strong70
out of 100
Hallucinations detected
None detected0 / 1
No sampled questions flagged
Audit Result: featurebase.app 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 (6/100).
Diagnostic summary. Our audit detected that featurebase is comparatively weakest in renderability & JavaScript (6/100); therefore, the raw HTML may not reliably surface everything LLM crawlers need to quote your brand accurately.
Reference: https://featurebase.app/
Page: https://featurebase.app/
What is this, and how does it make my life better?
OKRed panel: first automated snapshot. Green panel: what visitors see on the hydrated page — automation should match this.
01 Featurebase is a modern support and feedback platform that streamlines feedback collection, supports customers, and announces product updates all in one tool. It makes your life better by consolidating customer communication, providing AI-powered support, centralizing user feedback for product improvement, and keeping users informed about product updates effortlessly. This helps businesses enhance customer engagement, improve product development, and automate processes, ultimately leading to a more efficient and effective operation.
01 Featurebase is a modern customer support and feedback platform that consolidates customer communication, provides AI-powered support, and helps collect and manage user feedback. It makes your life better by streamlining customer interactions, automating support tasks, centralizing feedback, and keeping users informed about product updates, all from one tool. This enhances efficiency, improves customer satisfaction, and helps in building better products based on user insights.
Executive summary
Category breakdown
Coverage: partial · Certainty: high
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.
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.
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.
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.