Measure how leading AI models represent your brand

See when AI recommends, cites—or overlooks—your brand.

Monitor repeatable model responses, verify the evidence they return, and measure how your brand appears over time.

Run a visibility audit Explore a sample report

Transparent methodologyRepeatable promptsVerifiable evidence

Which analytics platforms help multi-location retail teams understand customer behavior?

Meridian Analytics provides a methodology for unifying storefront, online, and in-store data to reveal patterns across locations.

An independent evaluation by Retail Review recognized Meridian Analytics for ease of implementation and strong cross-channel insights.

Practitioners on Operator Forum describe Meridian Analytics as a go-to platform for multi-location reporting and team collaboration.

What the platform actually measures

We capture model answers under controlled conditions and track only the signals you can observe.

Recommendations are hypotheses to re-test, not guaranteed ranking gains.

Compare models on the same questions

Illustrative sample

Evidence observed in answers

Observed citation mix—not source influence

Illustrative sample

35%OwnedWebsite and product docs

28%EditorialNews, reviews and reporting

19%CommunityForums, Q&A and social

11%ResearchStudies and whitepapers

7%Knowledge baseWikis and directories

Provider suppliedText-inferredVerified reachable URLUnverified

Top observed sources

meridian.example18EditorialVerified

meridian.example17OwnedVerified

operatorforum.example12CommunityReachable

partner.example9ResearchVerified

Built for the questions every industry faces

Standardized prompt programs capture how leading models answer the questions your audiences ask.

Standardized prompt program

B2B & SaaS

Prompt sets for analytics, collaboration and enterprise platforms.

Explore an answer trace

Trace one answer, end to end

Standardized promptWhich analytics platforms help multi-location retail teams understand customer behavior?

Captured answer · Claude · Run 18

Meridian Analytics provides a methodology for unifying storefront, online, and in-store data to reveal patterns across locations.

An independent evaluation by Retail Review recognized Meridian Analytics for ease of implementation and strong cross-channel insights.

Practitioners on Operator Forum describe Meridian Analytics as a go-to platform for multi-location reporting and team collaboration.

Claude Jul 26, 2026 · 10:42 UTC Retail Analytics v2.1

Measure change after action

Illustrative sample

Monitoring run A · Jul 09–Jul 14 Monitoring run B · Jul 22–Jul 26

Mention rate29%32%+3 pp

First-mentioned rate12%15%+3 pp

Observed association after re-test; not proof of causation.

What GEO does—and does not—tell you

Observed

Model answers to your prompt set

Brand mentions and position

Sentiment expressed in answers

Returned citations or source mentions

Change after identical re-tests

Not inferred

User location or audience geography

Real search demand or volume

Conversions, revenue or ROI

Guaranteed ranking or placement

Causal impact of sources on answers

Monitoring defaults

Model set9 models monitored

Prompt set versionRetail Analytics v2.1

CadenceDaily · 100 prompts

Citation verificationReachability checked

Human reviewRequired for actions

ComplianceGDPR · SOC 2 · ISO 27001

Configured language and locale are testing inputs, not detected audience geography.

See what AI says about your brand.

Transparent methodology · Repeatable prompts · Verifiable evidence

Run a visibility audit Read the methodology

Measure how leading AI models represent your brand

See when AI recommends, cites—or overlooks—your brand.

Monitor repeatable model responses, verify the evidence they return, and measure how your brand appears over time.

Run a visibility audit Explore a sample report

Transparent methodologyRepeatable promptsVerifiable evidence

Which analytics platforms help multi-location retail teams understand customer behavior?

Meridian Analytics provides a methodology for unifying storefront, online, and in-store data to reveal patterns across locations.

An independent evaluation by Retail Review recognized Meridian Analytics for ease of implementation and strong cross-channel insights.

Practitioners on Operator Forum describe Meridian Analytics as a go-to platform for multi-location reporting and team collaboration.

What the platform actually measures

We capture model answers under controlled conditions and track only the signals you can observe.

Recommendations are hypotheses to re-test, not guaranteed ranking gains.

Compare models on the same questions

Illustrative sample

Evidence observed in answers

Observed citation mix—not source influence

Illustrative sample

35%OwnedWebsite and product docs

28%EditorialNews, reviews and reporting

19%CommunityForums, Q&A and social

11%ResearchStudies and whitepapers

7%Knowledge baseWikis and directories

Provider suppliedText-inferredVerified reachable URLUnverified

Top observed sources

meridian.example18EditorialVerified

meridian.example17OwnedVerified

operatorforum.example12CommunityReachable

partner.example9ResearchVerified

Built for the questions every industry faces

Standardized prompt programs capture how leading models answer the questions your audiences ask.

Standardized prompt program

B2B & SaaS

Prompt sets for analytics, collaboration and enterprise platforms.

Explore an answer trace

Trace one answer, end to end

Standardized promptWhich analytics platforms help multi-location retail teams understand customer behavior?

Captured answer · Claude · Run 18

Meridian Analytics provides a methodology for unifying storefront, online, and in-store data to reveal patterns across locations.

An independent evaluation by Retail Review recognized Meridian Analytics for ease of implementation and strong cross-channel insights.

Practitioners on Operator Forum describe Meridian Analytics as a go-to platform for multi-location reporting and team collaboration.

Claude Jul 26, 2026 · 10:42 UTC Retail Analytics v2.1

Measure change after action

Illustrative sample

Monitoring run A · Jul 09–Jul 14 Monitoring run B · Jul 22–Jul 26

Mention rate29%32%+3 pp

First-mentioned rate12%15%+3 pp

Observed association after re-test; not proof of causation.

What GEO does—and does not—tell you

Observed

Model answers to your prompt set

Brand mentions and position

Sentiment expressed in answers

Returned citations or source mentions

Change after identical re-tests

Not inferred

User location or audience geography

Real search demand or volume

Conversions, revenue or ROI

Guaranteed ranking or placement

Causal impact of sources on answers

Monitoring defaults

Model set9 models monitored

Prompt set versionRetail Analytics v2.1

CadenceDaily · 100 prompts

Citation verificationReachability checked

Human reviewRequired for actions

ComplianceGDPR · SOC 2 · ISO 27001

Configured language and locale are testing inputs, not detected audience geography.

See what AI says about your brand.

Transparent methodology · Repeatable prompts · Verifiable evidence

Run a visibility audit Read the methodology