Multi-platform Prompt Monitoring
Track approved prompt sets across supported AI search and answer surfaces.
AI Search Visibility Monitor
See where AI answers mention, cite or leave out your brand.
Monitor sampled prompts across supported AI search and answer platforms, separate mentions from citations, compare competitors, analyse sources and narratives, and connect gaps to verified website action.
Planned medium–high-cost metered module. Prompt volume, platforms, countries, refresh frequency, model coverage and history will depend on provider access and account entitlements.
AI visibility workspaceInteractive preview
AI visibility overview
The brand appears in useful prompts but citation coverage is uneven.
Demonstration sampling across multiple AI answer surfaces with mentions and citations kept separate.
34%sampled share of voice
Sampled prompts240
Brand mentions81
Cited responses37
Tracked platforms5
Week 1Week 4Week 8Now
Brand mentioned, page not cited18 promptsReview
Competitor dominates comparison prompts12 promptsGap
Negative narrative repeated4 promptsVerify
Prompt MonitoringCustom and provider sets
MentionsBrand inclusion
CitationsSource attribution
Share of VoiceCompetitor comparison
SentimentNarrative direction
Source AnalysisCited domains and pages
Eight AI-visibility capabilities
Measure answers, sources and narratives—not one score alone.
Every metric remains tied to its prompt set, platform, country, language, model context, sample date and provider methodology.
Mentions and Recommendations
Identify where the brand, product or domain appears and how prominently it is discussed.
Citations and Cited Pages
Separate source links from brand mentions and inspect the pages or domains used.
AI Share of Voice
Compare sampled visibility with selected competitors using a disclosed weighting model.
Prompt and Topic Gaps
Find questions where competitors appear, the brand is absent or the wrong page is cited.
Source-domain Analysis
Review publishers, directories, brand pages and third-party sources repeatedly cited by AI answers.
Sentiment and Narrative
Monitor positive, neutral, negative or mixed language and recurring brand descriptions.
History, Alerts and Reports
Track changes, volatility, source shifts and important prompt-level events over time.
Measurement design
Prompt selection defines what visibility means.
A narrow set of branded prompts and a broad discovery database answer different questions. The workspace should preserve both without merging them into one unexplained total.
- 01Custom promptsBusiness-critical questions selected and approved by the workspace.
- 02Provider prompt databaseBroader sampled coverage built with the provider's disclosed methodology.
- 03Platform and countryAI surface, market, language and model context displayed with the result.
- 04Repeated samplingTrend ranges and response changes reduce dependence on one isolated answer.
Monitoring configurationIllustrative preview
Prompt set240 prompts40 custom · 200 provider
Platforms5 monitoredCoverage labelled
MarketIndia · EnglishRegional context
SamplingWeekly + alertsMetered usage
A visibility score should never imply access to every user prompt, every private conversation or every answer generated by a platform.
How it works
Define, sample, verify and improve.
Define brand context
Add brand names, products, domains, competitors, markets and exclusions.
Build prompt coverage
Combine approved custom prompts with provider-backed discovery where available.
Review responses
Separate mentions, citations, sentiment, sources, competitors and uncertain classifications.
Connect action
Save verified gaps to pages, monitoring, research, reporting or crawler-readiness work.
Practical use cases
Use sampled AI evidence for focused decisions.
Brand visibility benchmark
Measure sampled mentions, citations and competitor share across relevant prompt themes.
Citation opportunity review
Find prompts where the brand is discussed but authoritative first-party pages are not cited.
Reputation monitoring
Track repeated claims, sentiment shifts and outdated narratives that require factual review.
Source and content planning
Identify the sources, topics and page types repeatedly used in supported AI answers.
Nuvyqo AI Visibility
Response evidence panel
Prompt → platform → answer → citation → classification
CITED
Brand mentioned with a first-party product sourcePrompt, response timestamp, platform, cited URL and source position preserved.
VARIANCE
The same prompt produced different sources in repeated samplesReport a range and response history rather than one fixed visibility value.
REVIEW
Sentiment classification is mixedKeep the source answer visible and require human review before a reputation action.
Traceability before optimisation
Every important AI claim should be reviewable.
The workspace should preserve the sampled answer and methodology so users can distinguish direct evidence from provider scoring and Nuvyqo interpretation.
- Exact prompt and prompt-set source
- Platform, country, language and sample date
- Brand mention and citation status
- Cited domain, URL and response context
- Classification confidence and reviewer note
Three different measurement layers
AI visibility, search performance and referral traffic are not interchangeable.
| Measurement question | AI Visibility | Search Console Insights | Analytics and referrals |
|---|---|---|---|
| What is measured? | Sampled prompts, responses, mentions, citations and narratives. | Owner-authorised Google clicks, impressions, CTR and average position. | Recorded sessions, engagement, conversions and known referral sources. |
| Is it exhaustive? | No. It cannot observe private conversations or every generated answer. | No. Query privacy, aggregation and reporting limits apply. | No. Attribution, consent, blockers and referrer handling can limit data. |
| Can Google AI features be isolated? | Provider sampling may track AI Overviews or AI Mode separately. | Google includes AI-feature traffic inside the Web search type rather than a separate filter. | Landing-page and referral analysis may reveal visits, not every impression. |
| Best use | Brand and citation sampling, competitor gaps, sources and narratives. | Owned Google search demand and performance. | Actual site visits, behaviour, leads and business outcomes. |
| Recommended interpretation | Use trends, repeated samples and visible uncertainty. | Use clicks and impressions with query and page context. | Use conversion and quality outcomes with attribution limits. |
Clear limitations
What AI visibility monitoring cannot make exact.
Private conversations are unavailable
Reports represent structured samples, not every prompt, answer, user or conversation.
Responses can change
Model versions, retrieval, location, time and conversation context can alter answers and sources.
Scores need definitions
Visibility, audience, share of voice and sentiment depend on prompt selection and weighting.
A mention is not a conversion
AI visibility does not guarantee citations, traffic, trust, leads, sales or revenue.
Related modules
Connect AI evidence with search, pages and technical readiness.
AI Visibility FAQ
Questions before monitoring AI answers.
What is AI visibility monitoring?
AI visibility monitoring samples selected prompts or prompt databases across supported AI answer and AI search platforms, then records whether a brand, domain, product or competitor is mentioned, cited or recommended.
Can Nuvyqo see private ChatGPT or AI conversations?
No. AI visibility tools do not have access to private user conversations or complete platform logs. Results come from structured prompt samples, approved provider databases or custom prompts run for the workspace.
What is the difference between a mention and a citation?
A mention means the answer names or discusses the brand. A citation means the answer provides a source link or attribution connected to the brand or its pages. A brand can be mentioned without being cited, or cited without being strongly recommended.
What is AI share of voice?
AI share of voice is a comparison estimate showing how much sampled visibility a brand receives relative to selected competitors. Its meaning depends on the prompt set, platform coverage, weighting and methodology.
Why can the same prompt produce different answers?
AI systems are non-deterministic and can change with model versions, retrieval results, geography, language, time, conversation context and platform updates. Repeated sampling and trend ranges are more useful than one isolated answer.
Can AI Visibility measure sentiment?
The planned module can classify positive, neutral, negative or mixed language and identify recurring narratives. Sentiment remains model-derived analysis and should be reviewed when it affects reputation or compliance.
Does appearing in Google AI features require special schema?
Google states that no special AI schema, AI text file or additional technical requirement is needed beyond normal Search eligibility and SEO fundamentals. Structured data should still match visible page content.
How can a website appear in ChatGPT search?
OpenAI states that public websites can appear in ChatGPT search and recommends allowing OAI-SearchBot so content can be discovered and clearly cited. Inclusion or top placement is not guaranteed.
Can AI visibility be connected to traffic and conversions?
The module direction supports connecting sampled AI mentions and citations with known referral traffic, Search Console and analytics data. A sampled mention does not prove that a user visited or converted.
Will Nuvyqo automatically rewrite content to manipulate AI answers?
No. The workflow should identify evidence, source gaps, unclear pages and factual weaknesses, then route approved work to Page Analyzer, Website Health or content planning. It should not create unsupported claims or mass-produce low-value pages.
Metered AI-search intelligence
Prepare the prompts and competitors that matter.
Create an account, add the website project and record brand names, products, markets, competitors and priority questions for provider-backed monitoring when the module becomes available.