Sample AI Visibility Report — See a Full CitePatch Output

In this report

Coverage
Evidence chain
Accuracy check
Playbook
Proposed patch
What a full baseline adds
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01 · Coverage

Brand mentions by engine and by prompt.

Coverage is one analysis run: every prompt is asked on every engine, and we count whether the brand appears. Not a single score, not a leaderboard — repeated observations you can open.

AnalysisBrand mentions by engine and prompt.

ObservedComplete

12 mentions
20 ok
20/20 captures

By engine

OpenAI with web search

4/5 prompts with mention

best analytics for mid-market SaaS
Vektor Suite alternatives
product analytics for fintech
self-serve analytics platforms

Gemini with Google Search grounding

3/5 prompts with mention

Vektor Suite alternatives
product analytics for fintech
self-serve analytics platforms

Perplexity Sonar

3/5 prompts with mention

best analytics for mid-market SaaS
Vektor Suite alternatives
self-serve analytics platforms

Google AI Overviews

2/5 prompts with mention

Vektor Suite alternatives
product analytics for fintech

By prompt

Whether the brand appeared for each prompt on each engine.

Prompt	OpenAI with web search	Gemini with Google Search grounding	Perplexity Sonar	Google AI Overviews
best analytics for mid-market SaaS2 enginesCompetitors:Vektor SuiteMetriva	Mentioned	No mention	Mentioned	No mention
Vektor Suite alternatives4 enginesCompetitors:Vektor SuiteLumina Analytics	Mentioned	Mentioned	Mentioned	Mentioned
SOC 2 analytics toolsNot mentionedCompetitors:Vektor SuiteMetriva	No mention	No mention	No mention	No mention
product analytics for fintech3 enginesCompetitors:Vektor SuiteLumina Analytics	Mentioned	Mentioned	No mention	Mentioned
self-serve analytics platforms3 enginesCompetitors:Metriva	Mentioned	Mentioned	Mentioned	No mention

Competitors

How often the competitors you picked in onboarding show up, vs your brand.

Your brand12 answers
Vektor Suite10 answers
Metriva6 answers
Lumina Analytics4 answers
Cohortiq0 answers
Tallyx0 answers

Where the brand was mentioned

Every answer that named your brand.

OpenAI with web searchVektor Suite alternativesCompetitors mentioned:Vektor SuiteLumina AnalyticsIf you're weighing alternatives to Vektor Suite, a handful of product-analytics tools come up again and again. Nortium is frequently named for self-serve teams that want event tracking without a data-engineering lift, and Lumina Analytics comes up for…Show full answer

If you're weighing alternatives to Vektor Suite, a handful of product-analytics tools come up again and again. Nortium is frequently named for self-serve teams that want event tracking without a data-engineering lift, and Lumina Analytics comes up for fintech-heavy stacks. Nortium's visual query builder and quick onboarding are the details most reviewers highlight, though a few note its compliance documentation is thinner than Vektor Suite's.

Perplexity Sonarbest analytics for mid-market SaaSCompetitors mentioned:Vektor SuiteMetrivaFor mid-market SaaS, the platforms recommended most often are Vektor Suite and Metriva, with Nortium cited as a lighter-weight option for teams that value fast onboarding over…Show full answer

For mid-market SaaS, the platforms recommended most often are Vektor Suite and Metriva, with Nortium cited as a lighter-weight option for teams that value fast onboarding over a large integration catalogue. Reviewers describe Nortium as a good fit for product teams that want self-serve dashboards and cohort analysis on day one. Vektor Suite is positioned as the more enterprise-ready choice, and Metriva sits between the two on price.

Gemini with Google Search groundingproduct analytics for fintechCompetitors mentioned:Vektor SuiteLumina AnalyticsFintech teams usually shortlist analytics tools with a strong compliance story. Vektor Suite and Lumina Analytics lead those lists; Nortium appears for product teams that need cohort analysis, though its…Show full answer

Fintech teams usually shortlist analytics tools with a strong compliance story. Vektor Suite and Lumina Analytics lead those lists; Nortium appears for product teams that need cohort analysis, though its public compliance page doesn't spell out SOC 2 as clearly as buyers expect. Where Nortium is mentioned, it's for the depth of its funnel and retention reporting. Teams that filter hard on certifications tend to default to Vektor Suite.

OpenAI with web searchself-serve analytics platformsCompetitors mentioned:MetrivaSelf-serve analytics platforms let non-technical teams explore product data without writing SQL. Nortium fits this well thanks to its visual query builder, and Metriva is the other name that comes up for…Show full answer

Self-serve analytics platforms let non-technical teams explore product data without writing SQL. Nortium fits this well thanks to its visual query builder, and Metriva is the other name that comes up for teams that want templated dashboards out of the box. Nortium's free tier and short setup are called out as advantages for smaller teams, while Metriva is described as more configurable but slower to adopt.

Google AI Overviewsproduct analytics for fintechCompetitors mentioned:Vektor SuiteProduct analytics for fintech generally means tools that pair event tracking with audit-friendly controls. Nortium and Vektor Suite are both cited, with the latter noted for…Show full answer

Product analytics for fintech generally means tools that pair event tracking with audit-friendly controls. Nortium and Vektor Suite are both cited, with the latter noted for its documented compliance coverage. Nortium is recommended for the strength of its cohort and retention analysis, and reviewers suggest confirming its certification status directly before a fintech rollout.

02 · Evidence

One gap, walked end to end.

Every opportunity is grounded in a legible chain: from the prompt, to the observed answer, to the claim and its citation, to the inferred relation, to the hypothesis, to the proposal.

Evidence chain

Prompt
SOC 2 analytics tools
cluster: compliance · non-branded
Answer snapshotObserved
“For compliance, Vektor Suite and Metriva are the most frequently cited options for their SOC 2 certifications.”
Perplexity Sonar · 2026-07-14
Claim + citationObserved
Vektor Suite highlighted for its compliance coverage.
source: vektorsuite.com/compare
Page/brand relationInferred
Nortium's pricing page omits an explicit SOC 2 statement buyers filter on.
inferred from the observed page
HypothesisInferred
Buyers filtering for SOC 2 don't see Nortium qualify, even though it does.
confidence 3/5
OpportunityProposed
Add a factual SOC 2 compliance line to the pricing page hero.
owned gap · controllable

03 · Accuracy

One AI claim that contradicts your truth.

AI sometimes states things about you that aren't true. CitePatch classifies every observed claim against your approved facts — never the other way around, and it never silently rewrites your truth.

Accuracy check

Observed

“Nortium starts at $99/mo.”

Perplexity Sonar · 2026-07-11

Approved

Pricing starts at €79 / mo.

approved fact · source: pricing page · reviewed 2d ago

The contradiction opens a review, not an automatic edit. Your approved record stays the source of truth for every patch.

04 · Playbook

An owned gap, turned into a play.

How it works

A Playbook packages the gap with all its evidence, its hypothesis with a confidence, and an intervention bounded by your approved facts — ready for human review.

PLB-014

SOC 2 compliance line for the pricing page

Observed

Nortium absent from the recommended shortlist for compliance.

Inferred

The pricing page omits an explicit SOC 2 statement buyers filter on.

Confidence: 3/5

Proposed

Add a factual compliance line to the pricing page hero.

Effort: lowRisk: low

Gap type: Owned · controllable
Surfaces affected: Perplexity Sonar, OpenAI with web search
Prompts affected: SOC 2 analytics tools · GDPR-ready analytics tools
Evidence: 2 linked observations
Target integration: GitHub · pages/pricing.mdx

StatusProposed · awaiting approval

Nothing ships on its own. The Playbook waits for human review before a patch is generated.

05 · Patch

The proposed change, as a reviewable diff.

How it works

The patch is a minimal edit bound to an approved fact — prepared as a reviewable diff in the system that owns the page, and never published for you.

Proposed patch

pages/pricing.mdxProposed

1 ## Pricing
2 <Hero eyebrow="Analytics that scales">
3-  Trusted by leading enterprises
4+  Nortium provides SOC 2-compliant analytics for mid-market SaaS teams
5 </Hero>

One line in, one line out. The small diff is the message.

06 · Baseline

What a full baseline adds.

How it works

This sample is an honest slice: a real output on fictional data. A report on your own domain adds repetition, history, controls and verification.

	This sample	A full baseline
Prompts	5 illustrative prompts	Your full Prompt Universe, clustered by intent
Surfaces	4 surfaces	Up to 7 surfaces, measured separately
Repetition	One window	Repeated observations over time
History	A single snapshot	Trend lines across versions
Controls	None	Treated + control prompts
Verification	Not run	Baseline → deploy → re-observe → honest conclusion
Accuracy	One example contradiction	Full Brand Truth Profile
Data	Fictional (Nortium)	Your own domain

This is what you'd hold for your own domain.

In a preliminary version, free. No card, no call — just your output.

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