AI Competitive Brand Audit Agent

How Cassidy automates competitive brand audits using AI

Step 1: Configure brand and competitor entities

The Workflow begins by ingesting your brand's entity graph—products, executives, aliases, competitors, and social handles—creating a structured taxonomy for precise attribution across all channels and AI models.

Step 2: Trigger continuous data acquisition

Cassidy pulls signals from connected sources on a scheduled cadence: social listening APIs, news feeds, SEO tools, review platforms, and LLM sampling via curated prompt sets across ChatGPT, Gemini, Claude, Copilot, and Perplexity.

Step 3: Normalize and classify mentions

The Workflow processes incoming data through entity resolution, deduplication, and NLP analysis—mapping mentions to the correct brand or product, scoring sentiment, and classifying by intent, topic, and source type.

Step 4: Calculate share-of-voice and presence quality

Cassidy benchmarks your brand against competitors across channels and LLM responses, measuring citation frequency, answer prominence, sentiment drivers, and the authority of sources feeding AI answers.

Step 5: Surface insights and trigger alerts

Dashboards update in real time with SoV trendlines, competitor movements, and citation source gaps. Alerts fire automatically when thresholds are breached—negative sentiment spikes, competitor visibility leaps, or LLM answer changes.

Step 6: Deliver actionable playbooks

The Workflow generates prioritized recommendations: AEO content updates, PR outreach targets to authoritative domains, review activation plans, and entity enrichment tasks—ready for your team to execute.

Step 7: Attribute impact to business outcomes

Cassidy connects visibility shifts to GA4 and CRM data, tracking LLM-referred segments, conversion quality, and deal velocity so you can prove ROI beyond vanity metrics.