AI Visibility Audit
Example Brand — AI Visibility Score
This audit was conducted independently by idea-lab.ai using publicly available information. It is not affiliated with or endorsed by the subject.
AI Adjacent
Partially indexed with significant structural gaps for AI retrieval.
Dimension Summary
| Dimension | Weight | Raw Score | Bar | Wtd Pts | Grade | Max |
|---|---|---|---|---|---|---|
| D1 · Brand Clarity | 15% | 70 | 10.5 | B | 15 | |
| D2 · Content Depth | 20% | 55 | 11.0 | C | 20 | |
| D3 · Entity Recognition | 15% | 40 | 6.0 | D | 15 | |
| D4 · Recency & Freshness | 10% | 48 | 4.8 | D | 10 | |
| D5 · Platform Reach | 15% | 58 | 8.7 | C | 15 | |
| D6 · Earned Media & Citation Network | 15% | 35 | 5.3 | F | 15 | |
| D7 · Live AI Signal Testing | 10% | 30 | 3.0 | F | 10 | |
| Composite | 100% | — | 49.3 | D | 100 |
Grade Legend
D1 Brand ClarityWeight 15%
How clearly does this entity communicate what it is and who it serves?
The brand has a clear product category and value proposition on the homepage, but the H1 leans on a generic tagline rather than a defining positioning statement. Sub-pages drift between describing the product and describing the company.
| Sub-Signal | Verdict | Note |
|---|---|---|
| Website H1 clarity | PASS | Specific and product-led. |
| About page positioning | WARN | Mixes mission with product copy. |
| Consistent tagline across channels | FAIL | Tagline differs on LinkedIn and Twitter. |
Positioning fragments across surfaces, weakening entity reinforcement.
Publish a single positioning sentence and mirror it on every owned surface.
D2 Content DepthWeight 20%
How substantive, original, and citable is the published content?
The blog covers core topics but most articles are under 600 words and lack original data or expert quotes. Few pieces would be cited as primary sources by an AI engine.
| Sub-Signal | Verdict | Note |
|---|---|---|
| Average article depth | WARN | ~520 words mean length. |
| Original research present | FAIL | No primary studies published. |
| Expert authorship bylines | PASS | All posts attributed to named author. |
No original research means no quotable assets for AI citation.
Publish one quarterly benchmark or survey report under a Person byline.
D3 Entity RecognitionWeight 15%
Can AI engines unambiguously identify this entity across the knowledge graph?
The brand has a Wikipedia stub but no Wikidata QID, weak Schema.org coverage, and no sameAs graph linking owned profiles. LLMs cannot reliably disambiguate Example Brand from other entities sharing the name.
| Sub-Signal | Verdict | Note |
|---|---|---|
| Wikidata QID assigned | FAIL | No QID found. |
| Organization JSON-LD with sameAs | WARN | Org present, sameAs missing. |
| Knowledge Panel triggers on brand query | FAIL | No panel rendered. |
Without a Wikidata anchor, AI engines treat the brand as ambiguous.
Create a Wikidata entry and publish full Organization JSON-LD with sameAs.
D4 Recency & FreshnessWeight 10%
How recent and actively maintained is the public content footprint?
Publishing cadence has slipped to one post per month and most cornerstone pages have not been updated in over a year. Date markup is missing on several key articles.
| Sub-Signal | Verdict | Note |
|---|---|---|
| Posts in last 90 days | WARN | 3 posts in last quarter. |
| dateModified present in JSON-LD | FAIL | Missing on /pricing and /features. |
| Pillar pages updated in last 12 months | WARN | Mixed — 2 of 5 updated. |
Stale timestamps make the corpus look abandoned to recency-weighted models.
Audit and refresh all pillar pages, then add dateModified site-wide.
D5 Platform ReachWeight 15%
How broad is the entity's presence across surfaces AI engines draw from?
Distribution is concentrated on LinkedIn and X, with no YouTube presence and only a dormant podcast. AI engines that draw from video transcripts and Reddit discussions will miss this brand entirely.
| Sub-Signal | Verdict | Note |
|---|---|---|
| LinkedIn activity | PASS | Weekly posts from CEO. |
| YouTube channel with transcripts | FAIL | No channel. |
| Reddit / forum presence | WARN | Sparse organic mentions. |
Missing video and community surfaces removes a major AI training signal.
Launch a monthly YouTube explainer series with full transcripts on-site.
D6 Earned Media & Citation NetworkWeight 15%
How strong is the third-party citation and earned-media network?
Backlink profile is dominated by directories and self-published guest posts. Few tier-one publications cite the brand, and there is no documented inclusion in any analyst report.
| Sub-Signal | Verdict | Note |
|---|---|---|
| Tier-1 press citations (last 12 mo) | FAIL | 0 found. |
| Analyst / industry report mentions | FAIL | None. |
| Quality of referring domains | WARN | Long tail, low authority. |
No third-party authority signals means low trust weighting in AI answers.
Run a targeted digital-PR campaign focused on 5 tier-one publications this quarter.
D7 Live AI Signal TestingWeight 10%
Does the entity actually surface in live AI engine answers today?
Test queries across ChatGPT, Claude, Perplexity, and Gemini surface Example Brand only when the brand name is explicitly typed. Category-level queries return competitors exclusively.
| Sub-Signal | Verdict | Note |
|---|---|---|
| Cited in branded query (ChatGPT) | PASS | Cited with link. |
| Cited in category query (Perplexity) | FAIL | Not surfaced. |
| Mentioned in 'best of' query (Gemini) | FAIL | Competitors dominate. |
Brand only appears under intent it already owns — zero discovery surface.
Build comparison and 'best of' content targeting category-level prompts.
Top Priority Actions for Example Brand
- 1Create a Wikidata entry and ship full Organization JSON-LD with a complete sameAs graph.
- 2Publish one original benchmark report per quarter, authored under a named Person byline.
- 3Launch a digital-PR campaign aimed at earning citations from five tier-one publications.
How does your brand score?
We audit brands of all sizes using the idea-lab.ai 7-Dimension AI Visibility Framework. Request an audit or run your own assessment with the AI Visibility OS.