One-off prompts are not measurement
Ad hoc checks change by model, wording, and timing, so screenshots cannot establish a stable baseline or show movement.
For AEO and AI-search teams
Turn AI visibility from screenshots into a program.
Research buyer prompts, test answer engines, track mentions and citations, compare competitors, and turn source gaps into work the team can own.
The pressure you are under
If this sounds like your week, this page is for you.
These are operating problems, not feature requests. Solving them requires the evidence, workflow, and proof to stay connected.
A visibility score hides the cause
A single percentage does not tell you whether the brand was named, cited, replaced by a competitor, or supported by the wrong source.
Findings stop at the report
Teams see a citation gap but lack a connected path to the page, source, content, entity, or positioning work that should happen next.
What your system must do
The needs that matter most for AI visibility teams.
A reproducible AI-search workflow from prompt discovery to tracked evidence and the next content, citation, or positioning action.
A governed prompt set
Research buyer questions, test candidates across chosen engines, tag their intent and journey stage, then approve what is worth tracking.
Answer-level evidence
Keep the answer, mention status, citations, cited domains, competitor presence, sentiment, and run history—not just a blended score.
Actionable source gaps
Connect what an engine trusts to the pages, third-party sources, entities, and tasks that can improve future answer coverage.
Your highest-value workflows
The product areas this team will use most.
Every feature remains available. These are the workflows most directly connected to this audience's decisions and deliverables.
01
Answer engine visibilityAI Search
Use AI Research, Prompt Lab, and AI Tracker to discover, test, approve, and monitor buyer prompts across answer engines.
Explore feature02
Content execution systemContent Workflows
Turn a missing mention, weak citation, source gap, or positioning problem into owned content and outreach work.
Explore feature03
Client proof and reportingClient Reporting
Explain answer-engine presence, competitor movement, completed work, and next priorities without relying on loose screenshots.
Explore feature04
Google Search Console warehouseSearch Console
Keep AI visibility distinct from organic performance while viewing both evidence sets inside the same project.
Explore featureA repeatable operating loop
From signal to proof without losing context.
01Discover buyer prompts
02Test and approve the cohort
03Track answers, sources, and competitors
04Create and verify the next action
What gets better
A stronger operating result, not another dashboard.
A stable prompt cohort instead of anecdotal checks
Clear separation between mentions, citations, competitors, and no-result states
Source and content work tied directly to the answer evidence
Reporting that shows movement without confusing AI visibility with rankings
Questions from the team
What ai visibility teams ask before switching.
What is the difference between AI Research, Prompt Lab, and AI Tracker?
AI Research discovers opportunities. Prompt Lab tests and organizes candidate prompts. AI Tracker monitors the approved prompt set over time across the selected answer engines.
Does the platform guarantee inclusion in AI answers?
No. It measures what appears, preserves the evidence, identifies source and competitor patterns, and helps the team decide what to improve next.
Can we track citations as well as mentions?
Yes. The workflow distinguishes being named from being cited and records cited pages, external sources, competitors, sentiment, and answer history where available.
Put your next search decision on better evidence.
Start with the full platform, unlimited project workspaces, and a flexible credit pool for fresh research, tracking, audits, and agent work.
Start your workspace