AI Visibility Index
20% mention + 25% recommendation + 15% owned citation + 10% coverage + 10% consistency + 10% position + 10% share of voice - 15% accuracy risk
52 / 100 · n=10
AI Visibility Index
20% mention + 25% recommendation + 15% owned citation + 10% coverage + 10% consistency + 10% position + 10% share of voice - 15% accuracy risk
52 / 100 · n=10
Mention Rate
mentioned runs / all runs
10 / 10 · n=10
Recommendation Rate
recommended runs / all runs
2 / 10 · n=10
Owned Citation Rate
runs with owned citation / all runs
4 / 10 · n=10
Query Coverage
covered unique queries / all unique queries
5 / 5 · n=10
Consistency
consistent repeated queries / all repeated queries
5 / 5 · n=10
Executive summary
Northstar appeared in 100% of tested answers but was recommended in 20%. The clearest loss pattern is not simple brand absence: HubSpot benefits from more explicit decision content and stronger source coverage. The first actions should improve sourceable pricing, comparison evidence, and first-party proof before expanding query volume.
The AI Visibility Index is a product-defined convenience metric, not a universal ranking standard.
No crawled page combined a pricing or plan signal with explicit currency, cadence, or amount evidence.
8 of 10 reliable provider runs did not recommend the brand.
The pricing page describes value but does not publish starting prices, plan boundaries, or an updated date.
Make pricing facts explicit and sourceable
90Publish a decision-grade CRM software comparison hub
88Pricing information is not directly sourceable
84| Metric | Result | Numerator | Denominator | Confidence | Formula |
|---|---|---|---|---|---|
| AI Visibility Index | 52 | 52 | 100 | High confidence | 20% mention + 25% recommendation + 15% owned citation + 10% coverage + 10% consistency + 10% position + 10% share of voice - 15% accuracy risk |
| Mention Rate | 100% | 10 | 10 | High confidence | mentioned runs / all runs |
| Recommendation Rate | 20% | 2 | 10 | High confidence | recommended runs / all runs |
| Owned Citation Rate | 40% | 4 | 10 | High confidence | runs with owned citation / all runs |
| Query Coverage | 100% | 5 | 5 | High confidence | covered unique queries / all unique queries |
| Consistency | 100% | 5 | 5 | High confidence | consistent repeated queries / all repeated queries |
| Position Score | 16% | 1.6 | 10 | High confidence | sum of position weights / all runs |
| AI Share of Voice | 55.6% | 10 | 18 | High confidence | customer mentions / (customer mentions + tracked competitor mentions) |
| Accuracy Risk | 40% | 4 | 10 | High confidence | runs with accuracy issues / all runs |
| Commercial query | Provider | Rep | Mentioned | Recommended | Position | Competitors mentioned | Citation URLs | Owned citation | Entity confidence | Extraction confidence | Difference |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Best CRM software for marketing agencies | Development fixture · fixture-v1 | 1 | Yes | No | — | HubSpot | No | 82% | 91% | No material difference | |
| Best CRM software for marketing agencies | Development fixture · fixture-v1 | 2 | Yes | No | — | HubSpot | No | 82% | 91% | No material difference | |
| Northstar vs HubSpot vs AgencyAnalytics | Development fixture · fixture-v1 | 1 | Yes | Yes | 2 | HubSpot | Yes | 92% | 91% | No material difference | |
| Northstar vs HubSpot vs AgencyAnalytics | Development fixture · fixture-v1 | 2 | Yes | Yes | 2 | HubSpot | Yes | 92% | 91% | No material difference | |
| Affordable alternatives to HubSpot, AgencyAnalytics for marketing agencies | Development fixture · fixture-v1 | 1 | Yes | No | — | HubSpot | No | 82% | 91% | No material difference | |
| Affordable alternatives to HubSpot, AgencyAnalytics for marketing agencies | Development fixture · fixture-v1 | 2 | Yes | No | — | HubSpot | No | 82% | 91% | No material difference | |
| Does Northstar support White-label client reporting? | Development fixture · fixture-v1 | 1 | Yes | No | — | — | Yes | 92% | 91% | No material difference | |
| Does Northstar support White-label client reporting? | Development fixture · fixture-v1 | 2 | Yes | No | — | — | Yes | 92% | 91% | No material difference | |
| How much does Northstar cost? | Development fixture · fixture-v1 | 1 | Yes | No | — | HubSpot | No | 82% | 91% | No material difference | |
| How much does Northstar cost? | Development fixture · fixture-v1 | 2 | Yes | No | — | HubSpot | No | 82% | 91% | No material difference |
Rationale: Publish current starting prices, billing cadence, plan differences, exclusions, and a visible updated date on an indexable page.
Primary evidence: No crawled page combined a pricing or plan signal with explicit currency, cadence, or amount evidence.
Affected query: How much does Northstar cost?
Rationale: Create one factual comparison hub with audience fit, capability limits, implementation differences, proof, pricing context, and links to first-party evidence.
Primary evidence: 8 of 10 reliable provider runs did not recommend the brand.
Affected query: Best CRM software for marketing agencies
Rationale: Publish current plan facts, exclusions, billing cadence, and a visible updated date.
Primary evidence: The pricing page describes value but does not publish starting prices, plan boundaries, or an updated date.
Affected query: Best CRM software for marketing agencies
Rationale: Create a factual Northstar versus HubSpot comparison with fit, proof, limits, and pricing context.
Primary evidence: The crawl found no comparison or alternative page addressing HubSpot.
Affected query: Best CRM software for marketing agencies
Rationale: Add customer outcomes, methodology, screenshots, named use cases, and stable fact blocks; then pursue relevant review and industry coverage that cites those facts.
Primary evidence: Only 4 of 10 reliable provider runs cited northstar.example.
Affected query: Best CRM software for marketing agencies
The pricing page describes value but does not publish starting prices, plan boundaries, or an updated date.
The crawl found no comparison or alternative page addressing HubSpot.
/llms.txt was not available.
5 approved commercial queries were run across 1 provider API with 2 retained repetitions per provider from the stated country and language configuration. Every raw response was retained, then mentions, recommendations, positions, citations, entity confidence, and accuracy risks were extracted into a versioned schema.
Development fixture · fixture-v1