Explain the work behind the interface.
The public features page explains the website checks and review workflow. Public product imagery is used here; no private customer analytics are shown.


Our own software product brings website findings, proposed changes, delivery records and visibility observations into one workflow. A recommendation, a delivery attempt and a verified live result each mean something different.
Launch project (opens in a new tab)Explore the experience ↓Cloudfusion product · Web application · Website analysis · Delivery workflows · Search and AI visibility
Website teams need to understand what is holding their site back, decide which improvements to make and distinguish completed work from changes verified on the public website.
We built AnswerMetrix to connect website scans, business context, reviewable recommendations, supported delivery routes and evidence of the result. Search performance and sampled AI answers add context for deciding what to investigate next.
The public features page explains the website checks and review workflow. Public product imagery is used here; no private customer analytics are shown.

The workflow separates the diagnosis, the decision, the delivery and its verification.
Crawls and page checks organise detected issues so the team can review the underlying evidence.
Recommendations sit alongside saved content; review or enabled automation determines what can proceed.
Eligible changes are delivered through the configured connection, with a record of the attempt.
A separate live check establishes whether the expected change appears on the public page.
Capabilities and delivery depend on the configured connection and permissions. AI observations are samples, not a guarantee of ranking or citation.
Page-level findings cover metadata, structured data and other website readiness signals.
Proposed fixes, permissions and configured connections define the path into implementation.
Connected search data and sampled AI answers sit alongside the work and its verification records.
AnswerMetrix turns disconnected website findings and implementation records into a workflow a team can inspect. The product keeps proposed work, delivery and live verification distinct, while bringing available search and AI observations into the decision.
Findings, recommendations and delivery records retain their own meaning instead of being collapsed into a single success status.
Search data and dated AI samples help investigation; the product does not promise a ranking or an AI citation.
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