Agent Mindshare
Agent Mindshare (now part of Cogny) · Coding · Marketing
Agent Mindshare is an AI visibility platform that shows how ChatGPT, Claude, Gemini and Perplexity describe your brand, with sentiment scoring, competitor tracking and daily or weekly reports.
About Agent Mindshare
What Is Agent Mindshare
Agent Mindshare is a monitoring platform for the AI era. Instead of watching Google rankings, it watches the answers people get when they ask an AI assistant about your product, your category or your competitors. You give it a brand and a set of prompts; it runs those prompts against ChatGPT, Claude, Gemini and Perplexity and reports what came back. That answer is where a growing share of buyers now form their first impression, and it's invisible in standard analytics.
The product targets marketing teams, agencies and founders who need to know whether an AI assistant recommends them or quietly hands the recommendation to a rival. It tracks mentions, ranking order, share of voice and the sources each engine cites. Sentiment analysis adds a second layer by scoring whether the language around your brand reads positive, neutral or negative.
The main limitation is timing. Agent Mindshare has been merged into Cogny, a marketing data platform, so new sign-ups and credit purchases are closed on the original site. The free preview scan still runs there, but ongoing tracking now lives inside Cogny. Treat this page as a profile of the tool as it worked and the capabilities that carried over.
Getting Started
- Enter your brand name, plus any aliases and your domain, so the platform can match mentions correctly.
- Pick the engines to query and write the prompts a real buyer would type, without your brand name in them.
- Add the competitors you want measured against you.
- Run the free preview scan to see a single snapshot.
- For ongoing tracking, reports and history, continue on Cogny, where the same monitoring runs on a schedule.
Product Information
A quick look at Agent Mindshare's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Marketing teams
- SEO and content specialists
- Agencies
- Founders and small teams
Tasks
- Tracking brand mentions across AI assistants
- Measuring share of voice against competitors
- Sentiment scoring
- Building buyer-question prompts
- Exporting raw data
- Running checks from an agent
Scenarios
- Watching AI visibility after publishing a page
- Localized analysis
- Pre-sales research
- Weekly monitoring
Key features
AI Agent Monitoring
Agent Mindshare queries the major AI assistants with your custom prompts and records the answers. It covers ChatGPT, Claude, Gemini and Perplexity, the four engines most buyers reach for first, and reports each one separately so you can spot where you show up and where you don't.
Mention and Rank Tracking
For every prompt, the platform logs whether your brand was named, how many times, and where it landed in the answer. It matches on your name, your aliases, your domain and the domain name without its extension. Being mentioned third, after two rivals, is a different problem from being absent, and the tool separates the two.
Sentiment Analysis
A scoring layer reads the language around your brand and rates it positive, neutral or negative. That tells you if you're being recommended warmly, listed flatly or framed with doubt, which a raw mention count can't show.
Daily and Weekly Reports
Monitoring runs on a schedule with customizable frequency, so you get a moving picture instead of a single snapshot. Because AI answers vary between runs, the report keeps a comparable record and flags the biggest week-over-week change.
Competitor and Share-of-Voice Tracking
You name the competitors you want measured, and the platform reports how often each of them appears in the same answers, plus your share of all brand mentions. It also surfaces competitors you hadn't considered as rivals in the AI space.
Citation and Source Tracking
The platform records every source an engine cites and labels it as yours, a competitor's or a third party's. Most of the time those sources are review sites, directories and communities, which points straight at where to get listed next.
BigQuery Export
Export your data to Google BigQuery to join it with your own analytics. You don't need a data warehouse to read the built-in reports, but the export is there when you want to run your own queries.
MCP Integration
Agent Mindshare exposes its tools over Model Context Protocol, so assistants like Claude Code, Cursor and Claude Desktop can run a check or pull the trend mid-task. It's the same data, reached from the tools you already work in.
Pros and cons
Pros
- Covers the four AI assistants buyers use most and reports each one separately.
- Sentiment scoring adds a layer that mention counts alone can't provide.
- Citation tracking tells you exactly which review sites and directories the engines trust for your category.
- Prompt sets stay fixed between runs, so week-to-week comparisons hold up.
- MCP server lets coding agents run visibility checks without leaving their workflow.
Cons
- New sign-ups and credit purchases on the original site are closed since the merge into Cogny, so ongoing tracking means moving to a different platform.
- AI answers change between runs, so a single check is a snapshot and not a verdict.
- Getting useful numbers depends on writing good buyer-style prompts, and weak prompts produce weak insights.
- The free preview shows a one-off scan only, not the historical tracking most teams actually need.
Frequently asked questions
It shows how major AI assistants describe your brand. You give it prompts and competitors, and it reports whether you get mentioned, where you rank, how you're framed and which sources the engines cite.
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