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
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.
Monitor AI Search Prompts
Choose the customer questions your AI visibility report should answer. A focused prompt library makes category, comparison and use-case research repeatable without claiming to observe every AI conversation.
- Add questions manually or review suggestions before selecting them.
- Assign each prompt a country and language; the same question can target different markets.
- Duplicate questions in the same market are rejected, keeping the sample deliberate.
- Prompt allowances apply per project and depend on its plan.
example.com Mentions
Citations [1] [2]Schedule AI Visibility Checks
Set AI platforms and monitoring frequency in project settings. New prompts receive an initial analysis; recurring checks then build evidence on the chosen schedule.
- Choose from the platforms available to your project's plan.
- Check daily, weekly, every 14 days or every 30 days.
- Platform selection applies to the project, while country and language belong to each prompt.
Daily09:00
123456789101112131415161718192021
Group AI Prompts into Segments
Save a question group for a category, comparison theme or market instead of rebuilding filters each time. Segments match prompts by rules and can be reused in Prompts and Mentions.
- Combine up to five rules with AND: question text, country or language.
- Preview the matching count and example questions before saving a named segment.
- New matching prompts join the group automatically; deleting the segment leaves prompts intact.
Country USKeyword linen
linen shirt?
linen clothing?
cotton shirt?
Track AI Brand Mentions
Move from a reported mention to the complete saved answer. Select your brand or a tracked competitor to investigate the questions where it appears and the context around the mention.
- Review the question, platform and analysis date alongside the response.
- Recorded position is mention order among detected tracked brands, not a Google rank or numbered recommendation.
- Inspect cited URLs and switch between mentioned brands for their sentiment evidence.
- A brand mention and a website citation are separate signals.
Mentions
4218example.com
14example.org
10example.net
Explore AI Citations and Sources
Identify the pages and domains repeatedly cited in stored answers. Source coverage helps you investigate the evidence behind responses before choosing a content or distribution action.
- Switch between source-domain and page-URL views.
- Compare citation counts, distinct prompt coverage, platforms and first or latest citation dates.
- Open the source's prompts and citations to trace it to individual answers.
- Source share is its portion of recorded project citations, not traffic or backlink authority.
example.com [1]
example.org [2]
1
example.org/guides2
example.net/researchCompare AI Share of Voice
Benchmark your brand against configured competitors over the last 30 days. Visibility and share of voice answer different questions, so read their denominators before interpreting a lead or gap.
- Visibility is the percentage of completed, brand-analyzed answers containing that brand.
- Share of voice divides its mentions by all mentions of the configured brand set.
- Several brands can appear in one answer; their visibility rates need not sum to 100%.
- Average position uses only answers mentioning the brand and reflects tracked-brand mention order.
Mentions
42Analyze AI Brand Sentiment
Review how a saved answer describes a particular brand. Read the original statements with the score to distinguish favorable wording, criticism and neutral descriptions.
- On the 0–100 sentiment scale, lower scores are negative and higher scores positive; this is not a percentage of satisfied customers.
- Selecting a mentioned brand highlights its available sentiment statements in the answer.
- Missing scores remain unavailable; tone analysis does not verify factual accuracy.
Positive
70/100NegativeNeutralPositive
Track AI Visibility Trends
Follow daily platform visibility in the last 30 days using the project's timezone. Keep prompts, markets and competitors consistent when investigating movement across repeated analyses.
- The Mentions & Citations chart counts own-brand mentions and citations to your brand's domain or subdomains.
- Prompt, mention and source tables use stored history rather than sharing one selectable chart date range.
- Missing observations and a changed score alone do not prove zero visibility or the effect of a content change.
Visibility
62%Export AI Visibility Data
Take saved monitoring evidence into reports or your existing workflow. Dashboard file exports and stored-data API/MCP access serve different needs.
- Download Prompts, Mentions and Sources as CSV or Excel, including all matching rows beyond the visible page.
- Prompt exports retain search, market, brand, segment and sorting; mention exports retain search, brand, segment and sorting.
- Source exports retain domain/URL view, search and sorting.
- The API and MCP read stored evidence and add or delete prompts; file exports, suggestions and manual reruns remain unavailable there.
CSV50
Talk about AI Visibility. With SEO MCP.
Use SEO MCP to investigate stored AI Visibility results. Ask about brand mentions, tracked prompts and cited sources; answers use your collected results rather than live searches of every AI platform.
- Screpy: Hello! Let’s look at AI Visibility for example.com. What would you like to know?
- You: Where is my brand mentioned in the stored AI Visibility results?
- Screpy: Review the tracked prompt, stored answer and cited sources together. This example contains a mention in one answer; it does not represent every AI response or a live platform-wide search. AI Visibility evidence: Tracked prompt: linen clothing brands. Cited source: example.com/collections/linen.
- You: Turn that into a short action plan.
- Screpy: I’ll keep the evidence and recommendations separate. Review the findings, choose one change and check the results afterward. Your next steps: Review: Check the source and date of each finding.. Decide: Choose the first change to make.. Verify: Compare the results after the change..
- You: Can you explain the evidence in plain language?
- Screpy: Yes. Ask about a supported result and I can explain what it shows, where it comes from and what is still uncertain. Missing data stays unavailable; recommendations are not automatic fixes.
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.
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.
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.
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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 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.
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