AI Visibility Report
Northvale
How AI recommendation engines surface Northvale across competitors, engines, and buyer intent.
Section 01
Executive Summary
Score
Northvale is visible but not chosen. It appears in 58% of AI answers for its category, yet is the top recommendation just 22% of the time. The brand is in the conversation - and loses it at the moment of decision.
- Seen, not selected. The 36-point gap between 58% visibility and 22% top-recommendation is structural, not a coverage problem - more content will not close it.
- Five sources decide this category. The engines pulled from 86 different sources to answer it, but just five carry more than a third of every citation - and Northvale appears in none of them.
- One rival compounds across all four engines. Meridian Home holds the lead recommendation in ChatGPT, Claude, Gemini, and Perplexity at once - reinforced every time a buyer asks.
- The move is precision, not volume. Win those five specific sources, and make product pages the engines can actually read. That is what shifts the 22% - the dimension closest to revenue.
Section 02
Score Breakdown
The AI Recommendation Score (41/100) is computed from these 5 dimensions.
Section 03
AI Response Sentiment
Measured only across the responses where Northvale is actually mentioned - absence is captured by Visibility Rate, not counted as sentiment. When the engines do name Northvale they describe it neutrally most of the time: rarely negative, but rarely the enthusiastic pick. The opportunity is converting neutral mentions into favorable recommendations.
Section 04
Where Northvale Appears in AI Recommendations
Compared to competitors across non-branded category queries (40 selection queries x 4 engines).
| # | Brand | Role | Mentions |
|---|---|---|---|
| 1 | Meridian Home | Dominant | 124 |
| 2 | Hearth & Co | Recurring | 96 |
| 3 | Brightwell | Recurring | 71 |
| 4 | Northvale | Secondary | 54 |
| 5 | Verano | Occasional | 38 |
| 6 | Olin & Vale | Occasional | 22 |
Section 05
Citation Intelligence
Citation Intelligence maps the sources AI engines actually pull from when they answer your category - the domains, publishers, and pages they treat as trusted. It tells you where to earn a mention to get recommended, because being cited by the sources the engines already trust is what moves your visibility.
Across the 240 responses the engines drew on 412 citations from 86 distinct sources. Northvale appears in just 9% of them - mostly its own domain - and is missing from the highest-authority third-party sources in the category.
| Source | Type | Times cited | Northvale |
|---|---|---|---|
| goodhousekeeping.com | Editorial | 38 | Absent |
| nytimes.com/wirecutter | Review | 31 | Absent |
| apartmenttherapy.com | Editorial | 27 | Absent |
| reddit.com/r/HomeDecorating | Community | 24 | Absent |
| youtube.com | Video | 22 | Absent |
Section 06
Lost Query Examples
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Section 07
Diagnostic Findings
- Action: Close the external-signal gap with directory presence and third-party citations on the sources engines trust for this category.
- Implementation: Build answer-shaped comparison and category pages for the high-intent cluster; claim and align the top editorial and review profiles competitors appear in.
- Evidence: Top recommendation rate 22% vs visibility 58% = 36-point gap. Cited competitors share a structured comparison format Northvale's pages lack (MED - inferred from cited-vs-skipped pages).
- Action: Open category and product paths to the named AI bots; fix client-side rendering so content is present in the initial response.
- Implementation: Allow GPTBot, ClaudeBot, PerplexityBot on catalogue paths; server-render product detail; add Product / Offer structured data.
- Evidence: ~62% of sampled catalogue paths returned blocked or empty to crawler user-agents (HIGH - directly observed).
Section 08
Why This Is Happening
Two structural barriers explain the score. First, AI engines can reach only part of Northvale's site - large sections of the catalogue and category content return blocked or render incompletely to crawlers, so they can't be cited even when relevant. Second, the third-party sources these engines trust most for home & lifestyle - editorial roundups, marketplaces, and review hubs - rarely name Northvale, so there's little external signal to draw on.
Section 09
AI Structural Readiness
18 structural readiness factors audited across crawlability, rendering, structured data, entity clarity, and authority. The three highest-impact:
- Action: Allow the named AI bots on category and product paths; keep checkout and account paths blocked.
- Evidence: robots.txt disallows /catalogue/ and /shop/ for GPTBot, PerplexityBot (HIGH - directly observed).
- Action: Server-render or pre-render product and category content so it's present without JavaScript.
- Evidence: Product detail absent from initial response on sampled product pages (HIGH - directly observed).
- Action: Add Product, Offer, and AggregateRating schema to product pages.
- Evidence: Only Organization schema detected sitewide (HIGH - directly observed).
Section 10
Entity Audit
Northvale is recognized as a home & lifestyle brand across all four engines, but two describe it with outdated positioning and one omits its e-commerce offering entirely. Mixed entity signals make engines hedge rather than recommend with confidence.
Section 11
Content Audit
Engines can reach an estimated 38% of Northvale's catalogue. The pages they do reach lack the structured comparison and specification detail that cited competitors carry - so even reachable content underperforms in answers.
Section 12
Action Playbook
18 prioritized actions across three phases, each with effort and impact.
Section 13
6-Month Roadmap
- Unblock catalogue + category paths for AI bots
- Fix client-side rendering on product pages
- Ship Product / Offer structured data
- Baseline re-score across 4 engines
- Earn citations on top category sources
- Entity + review alignment
- Re-score & track share movement
- Win the high-intent comparison queries
- Lock gains with monthly monitoring
- Quarterly strategy review
Section 14
Methodology
AI Discovery Intelligence
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