AI Visibility
The percentage of completed analyzed answers that mention the project brand for the selected platform and date.
- Brand-mentioning answers
- Completed analyzed answers
- Selected platform and date
AI Search Visibility Tracking
Monitor a focused prompt set across supported AI platforms. See when your brand and competitors appear, where they are positioned, how they are described, and which URLs earn citations.
TL;DR
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TL;DR
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What Is AI Visibility Tracking?
Screpy AI Visibility monitors a consistent set of prompts across supported AI platforms. It records brand mentions, answer position, sentiment, citations, source domains, share of voice, and competitor visibility so teams can investigate how their brand appears in sampled AI answers over time.
Prompts and markets
- Tracked prompts keep the questions that matter to a product, category, or customer journey in one project.
- Country and language settings preserve the intended market context for every monitored prompt.
- Prompt suggestions help teams find useful questions before selecting which prompts to add.
Brand mentions
- Brand mentions record whether a monitored answer includes the project brand or a tracked competitor.
- Answer position shows where a detected brand appears within the analyzed answer.
- Sentiment context records the available tone around a detected brand mention for manual review.
Citations and sources
- Citations connect monitored answers with the URLs cited by the supported AI platform.
- Source domains group cited URLs and show which prompts and providers reference them.
- Citation drilldowns keep the answer, prompt, provider, and cited URL available for investigation.
Share of voice and competitors
- Screpy Share of Voice compares the project brand with tracked competitors across monitored answers.
- Screpy Competitor Ranking shows which tracked brands appear most often in the selected reporting view.
- Screpy Visibility history helps teams compare changes without treating one generated answer as a complete market result.
See where your brand appears in AI answers.
Monitor selected prompts across supported AI platforms and review brand mentions, answer position, sentiment, and citations in the same project view.
- Monitor a consistent set of prompts over time
- Review brand position and sentiment in each answer
- Open the analyzed answer and its citations together
AI Visibility
Illustrative product snapshot
OpenAI Gemini Perplexity
AI Visibility
63.4%
+5.8%Share of Voice
28.7%
+3.1%Mentions
148
+18Citations
96
+12Tracked prompts
Latest analysisSwipe horizontally to view all columns.
| Prompt | Position | Sentiment | Citations |
|---|---|---|---|
| Best technical SEO platform | #2 | Positive | 4 |
| Website audit tool for agencies | #3 | Neutral | 2 |
| AI visibility tracking software | #1 | Positive | 3 |
Top sources
research.example
18.8%18 citations
guides.example
14.6%14 citations
docs.example
11.5%11 citations
Track the questions that shape discovery.
Organize prompts by country and language, use suggestions to expand the monitored set, and compare visibility, answers, sentiment, and citations prompt by prompt.
- Set the country and language for each prompt
- Use prompt suggestions before selecting what to monitor
- Compare visibility and citation activity by prompt
Find the sources behind AI answers.
Trace citations back to their URLs and domains, then review citation volume, prompt coverage, providers, first-seen dates, and recent source activity.
- Open cited URLs from the answers that reference them
- Group citations by source domain and prompt coverage
- Compare source share and activity across providers
Compare AI share of voice over time.
Use the same monitored prompt set to compare project and competitor mentions, ranking, and share of voice without mixing the result with traditional keyword rankings.
- Compare tracked brands across the same prompt set
- Review competitor ranking and share of voice
- Keep AI visibility separate from Google rank tracking
Create a monitoring baseline before comparing movement.
The useful unit is not one impressive answer. It is a focused prompt set, a stable market and platform context, and enough stored evidence to investigate changes responsibly.
- 01
Confirm the brand and competitor set
Open the project that represents the brand you want to monitor. Check the project brand and tracked competitors before interpreting mentions or share of voice.
- 02
Choose the platforms and market
Use the AI platforms available to the project, then keep each prompt tied to the country and language your customers actually use.
- 03
Build a focused prompt set
Add category, use-case, comparison, and problem-focused questions manually or review Screpy’s prompt suggestions before selecting what to monitor.
- 04
Review the stored evidence
After analyses complete, move from the Overview to individual prompts, answers, mentions, citations, and source domains instead of acting on one percentage alone.
Understand what every AI visibility metric means.
Screpy keeps visibility, mentions, answer position, sentiment, citations, sources, and competitor context separate so one metric is not mistaken for another.
Share of Voice
The project brand’s relative presence beside tracked competitors across the same monitored answer set.
- One consistent prompt set
- Project and competitor brands
- Comparable monitoring window
Mentions
Stored detections of the project brand or tracked competitors inside completed analyzed answers.
- Prompt and provider context
- Detected brands
- Analyzed answer available for review
Position and sentiment
The recorded position of a detected brand in the answer and the available sentiment signal around that mention.
- Answer-level position
- Available sentiment score
- Manual context review
Citations and source share
Cited URLs from stored answers, grouped by URL or domain with citation count, prompt coverage, providers, and source share.
- Cited URL evidence
- Domain and URL views
- First- and last-cited dates
Competitor Ranking
A comparison of tracked brands using their visibility, average answer position, and available sentiment in the monitored set.
- Project brand highlighted
- Tracked competitor comparison
- Same platform and prompt context
AI visibility monitoring from prompt to cited source
Follow the complete monitored-answer workflow: select platforms and markets, organize prompts, inspect brand mentions, review citations, and compare competitors.
Multi-platform monitoring
Analyze selected prompts across the AI platforms available to the current Screpy plan and project configuration.
Country and language targeting
Keep every prompt connected to the country and language context the project intends to monitor.
Prompt suggestions
Generate focused prompt ideas, review them, and add only the questions that belong in the monitored set.
Answer-level review
Open the analyzed response behind a mention instead of relying only on an aggregate visibility percentage.
Citation drilldowns
Review the cited URLs connected to an answer, prompt, provider, and detected brand mention.
Position and sentiment context
See where a brand appears in an analyzed answer and review the available sentiment signal beside it.
CSV and Excel exports
Export prompt, mention, and source tables from the dashboard when the monitored data needs further review or reporting.
SEO API and MCP access
Read stored visibility, mentions, answers, citations, prompts, and sources or manage tracked prompts through project-scoped API and MCP interfaces.
Competitor and share-of-voice comparison
Compare the project brand with tracked competitors across the same monitored prompt and answer set.
Move from a changed metric to the answer and source behind it.
Use aggregates to find the question, then verify the stored response, brands, citations, and recurring source pattern before planning a response.
- 01
Keep the comparison context stable
Use the same prompt wording, platforms, country, language, competitors, and reporting context before treating movement as a trend.
- 02
Start with the metric that changed
Identify whether the movement concerns brand visibility, competitor share, answer position, sentiment, mentions, or citations.
- 03
Open the prompt and answer
Read the stored response and detected brands. Confirm that the answer actually addresses the intended customer question.
- 04
Trace the cited sources
Inspect the URLs and domains cited for that prompt, then check whether the pattern repeats across providers and other monitored questions.
- 05
Choose one response and monitor it
Use the evidence to plan a content, positioning, technical, or distribution change, then compare later analyses without claiming direct causation.
Turn monitored answers into focused research questions.
The product supplies the prompt, answer, brand, competitor, and citation evidence. Your team decides which content, positioning, technical, or distribution response is justified.
Build a category visibility baseline
Track a deliberate set of questions around the category, important use cases, customer problems, and commercial comparisons.
- Focused prompt library
- Country and language context
- Consistent later comparisons
Investigate competitor mention gaps
Find prompts where competitors appear more often or earlier, then open the answers and citations before deciding what the gap means.
- Competitor Ranking
- Share of Voice
- Prompt and answer drilldown
Study recurring citation sources
Review which URLs and domains receive citations across multiple prompts and providers instead of treating a one-off source as a durable pattern.
- Domain and URL views
- Prompt coverage
- Provider and citation context
Use the REST API or Screpy MCP to read stored AI Visibility evidence and manage tracked prompts without exposing dashboard export or manual reanalysis actions.
- Project-scoped REST API
- OAuth-connected MCP tools
- Dashboard-only CSV and Excel exports
Compare Screpy with Peec AI when prompt limits, model coverage, citation research, technical SEO, and reporting depth affect the decision.
- Pricing and prompt limits
- Models and source analysis
- SEO workflow coverage
Interpret AI visibility without overstating the result.
Generated answers vary. These boundaries keep sampled monitoring useful without turning one run into a promise about rankings, traffic, or every AI conversation.
A monitored sample, not every conversation
Screpy analyzes the prompts configured in the project. It does not observe every private question people ask an AI assistant.
A citation is not permanent coverage
A cited URL proves that it appeared in one stored answer. Generated responses and cited sources can change between analyses.
Answer mentions and citations measure a different discovery surface from configured Google keyword positions and Search Console performance.
Movement does not prove causation
Content, models, sources, competitors, prompts, and market settings can all affect the result. Use trends as evidence to investigate, not as a guaranteed outcome.
Use the visibility report that matches the question.
AI answers, crawler requests, and Google positions are separate signals. Screpy keeps each workflow distinct so the evidence is not mixed.
Monitor selected prompts for brand mentions, answer position, sentiment, citations, sources, and competitor share of voice.
Review verified crawler requests and unsuccessful URLs. Crawler activity does not prove that a page appeared in an AI answer.
Track configured Google keyword positions by market and device without treating an AI answer mention as a search ranking.
Screpy documentation
Learn how to monitor AI visibility
Follow the Screpy guide to configure prompts and markets, interpret mentions and citations, review sources, and compare competitor visibility responsibly.
Related SEO guides
Learn the concepts behind this workflow and apply them with practical SEO guidance.
GEO
How Do You Calculate AI Visibility ROI?
AI visibility ROI connects citations, share of voice, branded search, assisted conversions, and revenue to costs for a practical, defensible ROI model.
Read article GEO
How Do You Run an AI Visibility Audit?
An AI visibility audit benchmarks brand mentions and citations across ChatGPT, Perplexity, and Google AI Overviews, then prioritizes technical and content fixes.
Read article GEO
Which Prompts Should You Track for AI Search Visibility?
AI search visibility improves when you monitor category, use-case, comparison and branded prompts by audience and funnel stage, then review mentions and citations.
Read article GEO
How to Improve Your AI Visibility
Improve AI visibility with entity-focused content, schema markup, reliable citations, crawlable pages, prompt tracking, and brand mention monitoring.
Read articleAI Visibility Tracking FAQ
Understand what Screpy monitors, how visibility is calculated, and how to interpret sampled AI answers responsibly.
What does AI visibility mean in Screpy?
AI visibility measures how often the project brand is detected in the analyzed answers for the selected prompts and reporting view. It is a monitoring signal for a defined prompt set, not a measurement of every private AI conversation.
How is the AI visibility percentage calculated?
For a selected platform and date, Screpy divides the number of analyzed answers that mention the project brand by the number of completed analyzed answers, then multiplies the result by 100.
Which AI platforms can Screpy monitor?
Screpy supports monitoring through selectable platforms including OpenAI, Gemini, and Perplexity. Additional supported platforms and prompt allowances depend on the current plan and project configuration, so review the pricing page for current availability.
How should I choose prompts for AI visibility tracking?
Start with focused questions tied to your product category, important use cases, customer problems, and commercial comparisons. Keep the wording, country, and language stable when comparing results, and avoid near-duplicate prompts that overweight one topic.
Does Screpy monitor every AI conversation about my brand?
No. Screpy analyzes the prompts configured in your project across supported AI platforms. It does not observe every private conversation or every question people ask an AI assistant.
What is the difference between a brand mention and a citation?
A mention means the analyzed answer names the project brand or a tracked competitor. A citation means the stored answer references a URL. A brand can be mentioned without its website being cited, and a URL can be cited without a prominent brand mention.
What does AI share of voice compare?
Share of Voice compares the project brand’s relative presence with tracked competitors across the same monitored answer set. Review it only with a consistent prompt, platform, market, and reporting context.
Why can AI visibility results change between analyses?
Generated answers can vary by platform, model behavior, time, market context, and available sources. Use a consistent prompt set and compare trends across multiple analyses instead of treating one answer as a permanent result.
Does Screpy show citations and source domains?
Yes. When the analyzed answer includes citations, Screpy records the cited URLs and groups source activity by domain, prompt, and provider for investigation.
Can AI visibility data be exported?
Yes. Prompt, mention, and source tables can be exported as CSV or Excel files from the Screpy dashboard. File exports are not exposed through the REST API or MCP.
Can I use AI Visibility through the API or MCP?
Yes. The REST API and Screpy MCP can read stored AI Visibility data and add or delete tracked prompts. They do not expose CSV or Excel exports, prompt suggestions, or manual reanalysis.
Does higher AI visibility guarantee more traffic or sales?
No. AI visibility, mentions, and citations are monitoring signals. They do not guarantee clicks, rankings, conversions, or revenue, and movement does not by itself prove which change caused the result.
How is AI Visibility different from Rank Tracker?
AI Visibility analyzes selected prompts and generated answers for mentions, citations, sources, sentiment, and competitor presence. Rank Tracker monitors configured Google keyword positions by market and device. The two workflows measure different discovery surfaces.
How is AI Visibility different from AI and Bot Traffic?
AI Visibility analyzes selected prompts to find brand mentions, citations, sources, and competitor share of voice in monitored answers. AI and Bot Traffic reports verified crawler requests to website URLs. A crawler request does not prove that the content appeared in an AI answer.
SEO That Fits Your Budget
Explore how Screpy combines audits, rankings, AI visibility and monitoring, with clear plan limits.