AimyFlow

Am I on AI? - Check Your Business's AI Visibility

Am I on AI is an AI visibility monitoring platform that helps businesses, marketers, and agencies check whether brands are mentioned in ChatGPT, compare visibility against competitors, and get source analysis and action plans to improve recommendations. For SEO, brand, and digital marketing teams, it adds a practical way to measure and improve how AI systems cite and recommend their business across prompts, sources, and markets.

Am I on AI? - Check Your Business's AI Visibility

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Detail Information

What

Am I On AI is an AI visibility analytics platform from Mindshare AI focused on showing whether and how a business is mentioned in ChatGPT responses. It is designed for marketers, agencies, and businesses that want to understand brand presence in AI-generated recommendations, compare that presence against competitors, and identify ways to improve it.

The product appears positioned as a measurement-and-action layer for “AI brand visibility.” Its core workflow starts with scanning a website, analyzing prompt mentions and source domains, then generating weekly reports and action plans aimed at improving visibility across AI-relevant channels such as websites, communities, social platforms, and digital PR.

Features

  • AI brand monitoring: Tracks how often a brand appears in AI responses so teams can measure visibility over time rather than relying on anecdotal checks.
  • Prompt mention tracking: Monitors mentions across prompts to help users understand where their brand is surfaced and where it is absent.
  • Citation and source analysis: Identifies source websites influencing AI recommendations, which helps teams prioritize content and outreach efforts on domains that appear to matter.
  • Competitor benchmarking: Compares a brand’s visibility against competitors so marketers can spot relative strengths, gaps, and category dynamics.
  • Recommendations and action plans: Generates personalized weekly action items based on observed response data, giving teams a structured way to test improvements and measure before/after impact.
  • API and agency workflows: Provides programmatic access to visibility analytics and supports multi-client, white-label agency use cases for reporting and operational scale.

Helpful Tips

  • Evaluate the product primarily on the quality and repeatability of its recommendation workflow, not just the headline visibility score.
  • Check whether the supported countries, languages, and localized query coverage match the markets where your brand actually competes.
  • Use the source-domain insights to align content, PR, community participation, and onsite optimization efforts into one operating plan instead of treating AI visibility as a standalone metric.
  • If you manage multiple brands or clients, confirm how reporting, governance, and benchmarking are handled across accounts through the API or agency features.
  • Stay conservative about causality: the site shows before/after impact tracking, but AI mention changes are still likely influenced by broader content, search, and model behavior factors.

OpenClaw Skills

Within the OpenClaw ecosystem, this product could likely support skills for AI visibility monitoring, competitive intelligence, and recommendation execution orchestration. An OpenClaw agent could ingest visibility reports and API outputs, summarize weekly movement, detect changes in source-domain influence, and route prioritized tasks to content, SEO, PR, or community teams. The page confirms API access, but any deeper native integration with OpenClaw would be a likely use case rather than a stated capability.

A broader OpenClaw workflow could combine Am I On AI data with agents that draft content briefs, suggest forum participation opportunities, maintain action-item logs, and compare visibility changes against campaign activity. For marketing teams and agencies, that combination could shift AI visibility work from periodic manual analysis into a more continuous operating model, where monitoring, planning, execution, and measurement are connected in one automated loop.

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