AI visibility reporting around the 23 metrics clients understand.
Manage client accounts, compare competitors, export client-ready reports, and turn each metric movement into a prioritized content, citation, crawler, or source-quality recommendation.
From missing AI mentions to client action plans.
Agencies need more than a screenshot of an AI answer. The workflow connects every missed recommendation to the client, prompt, metric movement, competitor, cited source, crawler signal, and content change that can improve the next scan.
Separate each client project
Store each client brand, market, competitors, and monitored prompt set independently.
Compare the answer landscape
Review AI mentions, rank position, sentiment, and cited sources across engines.
Ship the report and action list
Turn missed mentions into content briefs, source fixes, and client-ready reporting.
AI Visibility Score
Baseline metric for client reporting.
Brand Mention Rate
Presence metric for client reporting.
Answer Position
Presence metric for client reporting.
AI Share of Voice
Competition metric for client reporting.
Narrative Drivers
Message metric for client reporting.
Competitor Pressure
Competition metric for client reporting.
Sentiment Quality
Message metric for client reporting.
Owned Citation Share
Sources metric for client reporting.
Source Quality Score
Sources metric for client reporting.
Crawler Citation Match
Technical metric for client reporting.
Opportunity Backlog
Action metric for client reporting.
Prompt Volume
Demand metric for client reporting.
Geo Distribution
Presence metric for client reporting.
Citation Quality Score
Sources metric for client reporting.
Social Thread Coverage
Sources metric for client reporting.
Entity Recognition Score
Baseline metric for client reporting.
Prompt Difficulty
Competition metric for client reporting.
Citation Readiness
Sources metric for client reporting.
Citation Velocity
Baseline metric for client reporting.
AEO Content Score
Sources metric for client reporting.
Prompt-Space Occupancy
Competition metric for client reporting.
Visibility Volatility
Baseline metric for client reporting.
Multi-Platform Citation Impact
Baseline metric for client reporting.
Executive summary
Answer share, sentiment, and the biggest client movement since the last report.
Competitor map
Which competitors AI engines recommend, where they appear, and the prompts they own.
Citation evidence
Owned, competitor, and third-party source trails that shaped the answer.
Priority actions
Content recommendations ranked by missed mentions, weak citations, and commercial prompt value.
Agency ROI
Deliver measurable AI visibility improvements
5-10 clients
Per account
Manage multiple client brands in isolated saved projects with independent monitors, reports, and competitor tracking.
40%
Faster mention improvement
Agencies sharing AI visibility evidence with stakeholders see measurably faster improvements in brand mention rates.
< 2 hours/week
Per client
After onboarding, maintaining a client's AI visibility monitoring requires under 2 hours per week across all engines.
15–48%
Public trackers show wide variance in Google AI Overview prevalence. Treat query-set and industry ranges as directional, not universal.
12
Configured answer engines are documented in the live product model and should be monitored with plan-specific engine caps.
5
Core recurring report surfaces are documented in the live product model and should stay aligned with the current plan and engine configuration.
23
Documented visibility metrics are measured from saved answer evidence rather than from a single vanity score.
6
No-signup free tools give teams a public baseline before they commit to recurring monitoring.
25+
The public AI visibility category now spans funded, bootstrapped, and suite-attached vendors across monitoring, optimization, and enterprise workflows.
What is AI visibility reporting for agencies?
AI visibility reporting tracks how client brands appear in AI-generated answers across ChatGPT, Claude, Gemini, Perplexity, and Grok. Teams that share this data with stakeholders see 40% faster improvement in mention rates.
- Project-level isolation for separate clients
- Independent brand context and competitor sets
- PDF brand reports and CSV citation exports
- GEO audit PDFs for client delivery
Frequently asked questions for agencies
How does prompts-gpt.com support multi-client agency workflows?
Agency teams can keep each client in its own saved project with separate brand context, competitor sets, prompt monitors, and exports. Project scoping and reporting keep client evidence separated, and larger programs that need multiple paid workspaces can use enterprise rollout patterns.
What reports can agencies deliver to clients?
Agency teams can export client-ready reports with executive summaries, competitor maps, citation evidence trails, and prioritized action lists. Today the product supports export workflows such as PDF, CSV, Markdown, and JSON evidence surfaces where exposed. Teams should treat white-label packaging and broader delivery automation as onboarding-scoped or roadmap work unless the workflow explicitly exposes it.
How many AI engines does each client scan cover?
Each scan monitors brand visibility across the configured AI engine set. Every scan captures 23 visibility metrics including mention rate, citation share, competitor pressure, sentiment, and source quality per prompt.
Can agency teams demo the platform to prospects?
Yes. 6 free tools are available without signup — the AI Visibility Checker, Market Search, ChatGPT Query Generator, llms.txt Generator, GEO Content Score Checker, and Codex Script Generator. Agencies can use these to show prospects the value before any commitment.
What is the typical agency onboarding process?
Start by running a free visibility baseline for each client domain. Then create a saved project per client, import competitor sets, build prompt monitors around buyer questions, and schedule recurring scans. Most agencies can be operational quickly once the first client projects are configured.