An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
VStok
About VStok
VStok provides AI recommendation intelligence for brands by monitoring how AI search engines such as ChatGPT, Google Gemini, Perplexity, and others interpret and recommend products or services. The platform audits websites, app store listings, and other digital touchpoints to identify technical, content, and authority gaps that affect AI visibility. It generates a visibility score based on metrics like share of voice, average position, sentiment, and prompt coverage across tracked buyer queries. Users can benchmark performance against competitors, track trends over 90 days, and receive prioritized recommendations to improve AI-driven discoverability. The dashboard consolidates AI mentions, citation sources, and competitive gaps into actionable insights. VStok also offers integrations with tools like Slack, Zapier, and Google Search Console, along with automated alerts and reporting features.
Key features
- AI visibility scoring across ChatGPT, Gemini, Perplexity, and others
- Prompt tracking by commercial, comparison, and informational intent
- Competitor benchmarking with share of voice and position metrics
- Site and app store audits for technical and content gaps
- Citation authority analysis from review sites and media outlets
- Automated alerts via Slack, Telegram, and email
- Custom webhooks for Zapier, Make, and n8n
- White-label reporting for agency users
Use cases
- Monitoring AI-driven brand discoverability for SaaS companies
- Benchmarking competitor performance in AI search results
- Auditing website and app store content for AI engine compatibility
Pros
- Tracks AI recommendation performance across multiple AI engines
- Provides visibility score, share of voice, and sentiment metrics
- Includes site and app store audits for technical and content readiness
- Offers competitive benchmarking against named rivals
- Supports integrations with Slack, Zapier, and Google Search Console
Cons
- No free tier beyond the basic validation plan
- Limited to AI engines explicitly listed on pricing page
- Requires manual setup for advanced integrations
- No API access on lower-tier plans
Frequently asked questions about VStok
What is AI visibility?
AI visibility refers to how frequently and prominently AI search engines like ChatGPT, Google Gemini, and Perplexity recommend a brand in response to buyer queries. VStok measures this by tracking metrics such as share of voice, average position, sentiment, and prompt coverage across tracked queries.
Who should use VStok?
VStok is designed for brands and teams looking to improve their discoverability in AI-driven search results. It suits growth, marketing, and product teams aiming to benchmark performance, identify visibility gaps, and prioritize actions to enhance AI recommendations.
How does VStok track AI visibility?
VStok audits websites, app store listings, and other digital touchpoints to assess how AI engines interpret and recommend products or services. It monitors real buyer queries, tracks sentiment and position, and benchmarks performance against competitors over time.
What integrations does VStok offer?
VStok integrates with tools like Slack, Telegram, Zapier, Make, and n8n for alerts and automation. It also supports webhooks, Google Search Console, and provides a public API for data exports and reporting. MCP agents and plugins for Codex, Cursor, Claude, and GitHub are available for advanced workflows.
Can VStok help with competitor benchmarking?
Yes, VStok allows users to compare their AI visibility share of voice against named competitors. It tracks which prompts drive recommendations for rivals, highlights where competitors dominate, and identifies opportunities to gain ground.
How do I get started with VStok?
Users can start by creating a project on VStok’s platform, which involves auditing their website, app store listings, and tracking relevant buyer prompts. The tool then generates a visibility score and prioritized recommendations to improve AI-driven discoverability.