AI Visibility / Conversation Explorer
A Profound Conversation Explorer alternative with local SEO built in
Drill into individual prompts to inspect citations, brand mentions, and model variation behind your visibility score—then connect those findings to Google Maps and local search workflows in the same platform.
What you'll see in every prompt
Click any tracked prompt and Conversation Explorer opens up three layers of detail the headline visibility number can't show on its own.
Per-prompt run history
Every time we ask ChatGPT, Claude, and Gemini your prompt, the full answer is captured and stored. Scrub the timeline to compare today's response against last week's, see when an answer drifted, and read the full prose response per provider per run — not a summary.
Citation-level drilling
Each cited URL is broken out: domain, page title, the exact snippet the model pulled from, and the character offset highlighted in the answer prose. You see where in the response a source got pulled in, not just that it was cited somewhere.
Brand mention timeline
Every brand mention — yours and your tracked competitors' — is logged with sentiment (positive, neutral, negative, mixed). Plotted as a stacked timeline so you can see whether your sentiment is improving, sliding, or flipping with each model update.
What teams actually use it for
The headline AI visibility number tells you whether you're showing up. Conversation Explorer tells you why — and what to change.
Track answer drift
LLM answers are stochastic. The same prompt run twice can pull different sources, surface different brands, and flip sentiment. Run history lets you spot drift the moment it happens — and tells you whether the change is noise or a real model update affecting your category.
Compare across models
ChatGPT, Claude, and Gemini ground their answers on different sources, even for the same prompt. Side-by-side citation lists per provider show which sites each assistant trusts for your category — so you know whether the gap is a content problem on your end or a model preference you need to work with.
Source-authority leaderboard
Across every prompt rank.ai runs for you, we tally which domains the AI assistants cite most for your category. That leaderboard tells you which third-party sites earn placements you don't, so the publishing and outreach plan can target the sources the models already trust.
rank.ai or Profound: which is the better fit?
Profound is purpose-built for enterprise AI-search intelligence and is a strong fit when that specialist dataset is the whole job. rank.ai is the better fit when your team needs per-prompt AI visibility analysis plus local rank tracking, Google Maps workflows, and content execution in one system. The right choice depends on whether you need a specialist intelligence product or a broader search-visibility operating layer.
Frequently asked.
What is Conversation Explorer?
Which AI assistants do you cover?
How often do you check?
Do I need an API key from OpenAI / Anthropic / Google?
How is this different from /check-ai-ranking and the free AI Visibility Check?
Ready to see what AI is actually saying about you?
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