AI market intelligence for software vendors

Wrong AI answers cost you buyers.

82% of B2B software buyers turn to AI for recommendations. Yet 23% of the claims we've audited are wrong. Find out what AI says about your product, and what it’s costing you.

Sources: G2 2026 Buyer Behavior Report, LRGLABS Help Desk Audit Sep 2026, 3 scenarios, 6 models, 9,847 claims

Fact-checking what AI tells your buyers.

We measure how accurately AI represents you, model by model, and benchmark it against competitors. The gaps are where you win or lose the shortlist.

Buyer asks: What does Freshdesk Enterprise cost?

“~~$79~~ $89 per agent/month · annual billing.”

The quoted price was official in 2024 and 2025, but Freshdesk now lists Enterprise at $89 annually or $107 monthly. · Checked 17 Aug 2026

Gemini Stale

ChatGPT False

Claude Stale

The sampled answers keep a retired price in the buying conversation.

Turn wrong answers into prioritised fixes, then track what changes.

Every inaccurate claim becomes an evidence-backed action your team can ship - with ongoing checks to see whether AI changes its answer.

Task Done

Publish Enterprise pricing in page text and JSON-LD

Annual price in the HTML source, not an image
Offer schema carrying the billing period
2024 price removed from the legacy tier page

CLAIMS AFFECTED 32 SHIPPED 12 AUG

Monitoring status Since 12 Aug

Claude Picked up

ChatGPT Picked up

Gemini Monitoring

Following the evidence trail behind every AI recommendation.

See the searches, sources, and comparative results behind each finding - not only the final answer.

Freshdesk pricing is misrepresented more often than Zendesk’s

Searches made by LLMs

[Product] pricing euros Growth Pro Enterprise per agent 2025
[Product] pricing 2025 Growth Pro Enterprise euro
[Product] pricing per agent month 40 agents

Sources read by LLMs

First-party 39% Comparison sites 18% Review platforms 21% Forums & docs 22%

Pricing Accuracy across competitors

Freshdesk

55%45%

Zendesk

85%15%

Help Scout

82%18%

correctwrong, stale or missing

Source: LRGLABS Help Desk Audit Sep 2026, 3 scenarios, 6 models, 9,847 claims

ABOUT LRGLABS

Software discovery now happens in AI conversations you can't see, measure or influence.

We capture what AI is telling buyers, verify it against evidence, and show exactly how your product and its competitors are being represented - so you can see it, measure it and influence it.

LRGLABS is built by former Gartner executives - the team behind Capterra, Software Advice and GetApp - who’ve helped thousands of vendors grow through software discovery.

Thibaut de Lataillade Sales & Strategy
Louis Raveton Product & Research
Paul Griffiths AI, Engineering & Data

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