Solving the AI Search Accuracy Challenge for Enterprise Brands

When AI-generated results surface incorrect information, even established enterprises risk losing customers. Here’s how one organization identified the issue and used ArcAI Accuracy to protect its bottom line.

Challenge

An enterprise brand needed a way to identify and address inaccuracies appearing in AI search results. In one example, a simple query for location information incorrectly cited an outdated article instead of information from the brand’s site.

This created the risk of lost foot traffic, unnecessary customer support calls, and erosion of trust.

Solution

The brand implemented ArcAI Accuracy to uncover how and where AI search engines were pulling incorrect information — and to prevent further business loss.

ArcAI Accuracy:

• Scans AI search and assistant responses related to the brand.
• Extracts individual claims (e.g., hours, pricing, locations, eligibility).
• Verifies each against official brand sources and approved content.
• Flags conflicts, outdated sources, or unsupported claims for review.

The Results

Within days, the organization gained visibility into how AI search engines represented its business, revealing inconsistencies from outdated third-party sources.

By strengthening content signals and defining authoritative sources, the brand:

• Ensured accurate information across AI platforms.
• Prevented potential revenue loss from search-driven confusion.
• Reduced unnecessary support inquiries.

Today, the team uses ArcAI Accuracy to continuously monitor and manage its AI presence and turn potential risks into reliable advantages.

Key Takeaway

AI search can shape real-world business outcomes. ArcAI Accuracy helps organizations safeguard revenue and reputation by ensuring information cited by AI search engines reflects verified, up-to-date facts before customers act on anything else.