ShareOfAsk

Track how AI assistants mention your brand in answers to buyer questions

#3 in Analytics
Analytics
Marketing
SEO
Freemium, from $49/month
Launched 1 Nov 2026

Verified clicks, 30 days: 0
Votes: 0
Score: 15.0 pts
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About

ShareOfAsk is an AI visibility tracking tool for agencies and brands that monitors how ChatGPT, Claude, Gemini and other AI models answer questions your buyers ask. You choose the questions, ShareOfAsk sends them to the AI models you select, and you see which brands each answer names, in what order, and which sources it cites. Every result links back to the recorded answer and the pages behind it.

The tool measures four core metrics: AI Presence (how often your brand appears), Competitive Share of Voice (your share of all brand mentions), Question Coverage (how many questions mention your brand), and Average First Position (where your brand usually ranks in recommendations). Each metric shows its calculation formula, so you can verify the numbers.

ShareOfAsk turns findings into Actions: prioritized recommendations showing what to change, why, and suggested next steps. You can run one-time free scans of 10 questions across 3 AI models, or use paid plans for scheduled daily snapshots, up to 100 questions, and multiple workspaces. The tool connects to your AI assistants via MCP (Model Context Protocol), so you can use your visibility data inside ChatGPT or Claude.

ShareOfAsk publishes how its metrics are calculated and lets you open the original AI answers and sources behind each result. The measurement request does not ask AI models to favor your brand. Results are tied to specific questions, models and timestamps, not aggregated into a single score.

Problem: AI assistants shape which brands buyers consider, but you cannot see this in your web analytics. When a competitor is named instead of your brand, you do not know which sources put them there or what to fix first.
Solution: ShareOfAsk monitors AI answers to your buyer questions, shows which brands are named and why, and recommends actions based on the evidence. You can track changes over time across multiple AI models.

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