Sample reportFictional company · illustrative evidence

Northstar Analytics AI visibility audit

A point-in-time, web-grounded benchmark across 25 shared questions, four providers, competitors, and citation evidence.

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Executive verdict

Coverage threshold met

Northstar has uneven visibility across buyer questions and AI providers.

It reached 15 of 20 evaluated discovery questions across four providers. Distinct questions and provider-answer events are counted separately.

38%

of grounded discovery answers

Buyer-question reach

15/20

Mentioned by at least one grounded provider

Mixed provider signals

8

Distinct questions where providers disagreed

Unanimous misses

5

Distinct questions where every grounded provider missed

Owned site cited

25%

18 of 73 grounded discovery answers

Opportunity themes

Where visibility breaks down

Ranked by missed grounded provider answers, grouped into distinct buyer-question themes.

14 questions

Warehouse-native comparisons

Missed in 9 of 14 grounded answers.

Luminary is the most frequent replacement.

23 questions

Privacy and compliance

Missed in 10 of 12 grounded answers.

Two questions were unanimous misses.

34 questions

Implementation proof

Missed in 7 of 15 grounded answers.

Northstar appears, but owned evidence is rarely cited.

AI agreement and provider differences

Agreement is measured per distinct question. Mention rates describe provider behavior, not answer accuracy.

All mentioned Northstar

7

distinct questions

Providers disagreed

8

distinct questions

All missed Northstar

5

distinct questions

OpenAI46%

8 points above overall

Claude34%

4 points below overall

Gemini31%

7 points below overall

Grok39%

1 point above overall

Competitor mention frequency

Answer-event frequency plus distinct-question reach.

Northstar (you)28/73 · 38%

15 distinct questions

Luminary41/73 · 56%

19 distinct questions

MetricFlow25/73 · 34%

14 distinct questions

Beacon12/73 · 16%

8 distinct questions

Recurring cited domains

Recurrence does not prove source quality or influence.

analyticsweekly.example

4 questions · 3 providers · 5 missed answer events

moderndatastack.example

3 questions · 4 providers · 4 missed answer events

saasopsreview.example

2 questions · 2 providers · 2 missed answer events

Prioritized action plan

What Northstar should do next

Each action explains its evidence and links to a representative buyer question. Live reports also link every stored source.

1

Publish a warehouse-native analytics comparison

Content gap

Create an owned comparison page covering deployment model, supported warehouses, migration effort, limitations, and verifiable customer evidence.

Why: Northstar was absent across four distinct warehouse-native buyer questions, while Luminary appeared repeatedly.

2

Earn inclusion in two repeatedly cited buyer guides

Recurring source

Pitch a factual product profile or hands-on review to those publishers, with documentation and customer proof they can independently verify.

Why: Analytics Weekly and Modern Data Stack were cited across six missed answers spanning five buyer questions.

3

Strengthen the implementation page

Citation gap

Add prerequisites, setup steps, time-to-value ranges, architecture diagrams, and dated documentation on the owned implementation page.

Why: Models mentioned Northstar across four implementation questions but often cited third-party summaries instead of northstar.example.

Show 2 additional actions
4

Answer privacy and data-residency questions directly

Unanimous miss

Publish a plain-language security and data-residency page with regions, retention controls, subprocessors, certifications, and review dates.

Why: Northstar was unanimously absent from three privacy-first buyer questions for regulated teams.

5

Clarify the best-fit customer profile

Mention quality

Add concrete best-fit and not-a-fit sections to the homepage and relevant use-case pages, supported by specific workflows and outcomes.

Why: Five distinct buyer questions produced incidental rather than shortlist-level mentions.

Supporting evidence

One row per buyer question

Provider agreement and the main competitor/source signal stay visible. Individual provider outcomes remain collapsed until needed.

Unanimous missDiscovery

Which product analytics tools work directly on a data warehouse?

Brand outcome

0 of 4 grounded AIs mentioned Northstar

Leading competitors

Luminary, MetricFlow

Key cited domain

analyticsweekly.example

OpenAI

Northstar not mentioned

Claude

Northstar not mentioned

Gemini

Northstar not mentioned

Grok

Northstar not mentioned

Mixed resultDiscovery

What are the best privacy-first analytics platforms for healthcare SaaS?

Brand outcome

1 of 4 grounded AIs mentioned Northstar

Leading competitors

Beacon, MetricFlow

Key cited domain

moderndatastack.example

OpenAI

Northstar mentioned

Claude

Northstar not mentioned

Gemini

Northstar not mentioned

Grok

Northstar not mentioned

Mixed resultDiscovery

Which analytics platform is easiest to implement for a small data team?

Brand outcome

2 of 4 grounded AIs mentioned Northstar

Leading competitors

Luminary

Key cited domain

saasopsreview.example

OpenAI

Northstar mentioned

Claude

Northstar not mentioned

Gemini

Northstar mentioned

Grok

Northstar not mentioned

Reliability, coverage, and limits

Execution quality for this benchmark—not a claim that every AI answer is factually correct.

Discovery questions

20

Grounded provider breadth

4

Grounded discovery answers

73

Excluded discovery answers

7

Discovery-answer coverage met the 90% threshold. Failed or ungrounded answers are excluded rather than counted as Northstar misses; brand-specific diagnostic questions are reported separately.

Identical test

All four providers receive the same frozen question set.

API-grounded evidence

Results come from model APIs with web grounding and can differ from consumer chat interfaces.

Designed for follow-up

Rerun the exact questions after implementation and compare the deltas.