How NovaCRM Went from Invisible to Cited Across AI Platforms

A B2B SaaS startup used Sophyx to crack AI visibility and double their inbound demo requests \u2014 without increasing ad spend.

+62%

AI Visibility

23+

Queries Ranked

2x

Inbound Leads

6 Weeks

Time to Results

Results That Speak

In six weeks, Sophyx transformed NovaCRM's AI presence from zero to consistently cited.

Top 3 on ChatGPT & Claude

NovaCRM now appears as a top recommendation when users ask AI assistants about CRM tools for startups.

+62% AI Visibility Score

From near-invisible to consistently cited across multiple AI platforms within 6 weeks.

Cross-Platform Presence

Recommended on ChatGPT, Claude, Perplexity, and Google AI Overview for SaaS-related queries.

2x Inbound Demo Requests

AI-driven discovery led to a measurable increase in qualified demo requests from high-intent prospects.

AI Recommendations

Now Cited in High-Intent Queries

NovaCRM now appears when decision-makers ask AI for CRM recommendations.

QueryFeatured

“Best CRM for early-stage startups”

Founders looking for lightweight, affordable CRM solutions.

Query

“Simple CRM with automation”

Teams wanting easy-to-use CRM with workflow automation.

Query

“CRM alternative to HubSpot for small teams”

Budget-conscious teams seeking powerful alternatives.

Query

“AI-powered CRM recommendations”

Users exploring modern CRM tools with AI capabilities.

+19 more queries ranking and growing

The Transformation

Before Sophyx

  • Not mentioned in any AI recommendations
  • Competitor CRMs dominating AI answers
  • No structured data for LLM consumption
  • Content not optimized for AI citation

After Sophyx

  • Top 3 recommendation on ChatGPT & Claude
  • Cited in 23+ high-intent queries
  • Full JSON-LD and FAQ schema coverage
  • 2x increase in organic demo requests

The Sophyx Playbook

A systematic approach to making NovaCRM the AI-recommended choice

  1. Step 01

    Visibility Audit

    Sophyx mapped how AI engines perceived NovaCRM vs. competitors, revealing critical gaps in structured data and content authority.

  2. Step 02

    Content Authority Building

    Generated comparison pages, use-case guides, and FAQ content optimized for LLM citation patterns.

  3. Step 03

    Technical GEO Optimization

    Implemented JSON-LD schema, enriched meta descriptions, and created structured data that AI engines prioritize.

  4. Step 04

    Distribution & Monitoring

    Seeded authoritative content across platforms AI models reference, then tracked citation performance weekly.

Your turn to be discovered

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