Sample Audit LLM Citation Intelligence · admiralbusiness.com

Admiral Business is barely visible in the AI surfaces where SMEs are now researching insurance.

Across high-intent UK business-insurance queries run through ChatGPT, Claude, Gemini and Perplexity, Admiral appears in less than 1% of competitor rankings. Simply Business and Hiscox own the answer. Admiral has one strong cell (Cardiff designers) and almost no signal anywhere else.
The bad news
Admiral is invisible on 13 of 20 high-intent queries
  • Zero appearances on Leeds tradespeople (447 rankings), London contractors (310), Leeds builders (221), London builders (184), Manchester contractors (174)
  • Admiral sits #37 in the competitor table, behind regional brokers like Coversure Leeds and Edison Ives
  • Two AI surfaces — ChatGPT and Gemini — barely know Admiral exists for business insurance
The good news
When Admiral surfaces, it ranks well and sentiment is strong
  • 14 positive mentions against 1 negative — this is a presence problem, not a perception problem
  • Cardiff designer queries: rank 1 on Perplexity, Claude and Gemini. The playbook clearly works when content, geography and niche align
  • Pricing (£7.08/month) and South Wales support are the three signals LLMs quote back. All replicable.
What to do
Build local, niche-led content where Admiral is missing
  1. Replicate the Cardiff playbook in Leeds, Manchester and Birmingham for each major trade
  2. Publish transparent pricing per cover type. LLMs quote concrete £ numbers verbatim
  3. Add trust signals at scale: schema-marked reviews, named expert authors, dated case studies
  4. Open ChatGPT and Gemini with national-authority content (FCA references, trade-body alignment, statutory anchors)
See the proposal →
Where Admiral sits
BrandShareAvg rank
Simply Business4.85%3.5
Hiscox3.90%4.2
Direct Line for Business3.12%6.0
AXA2.88%5.2
Markel Direct2.71%5.6
… rows 6 to 36 …··
Admiral Business0.58%4.8
20 / 300
PROMPT SAMPLE
This is a sample run on 20 completed queries (50 LLM jobs, 4 providers, 27,836 citation rows). Full scope of work spans 300+ queries across problem-aware, solution-aware, comparison and ready-to-buy buyer-journey stages, the four verticals shown, and an expanded regional matrix (Scotland, NI, North East, South West, East England, Couriers vertical). Findings are directionally robust; cells with one job carry weak signal and are flagged.
v0.9 Sample
Credible Cells
5 / 19
Admiral rank ≤ 6 anywhere · 4 more at rank 7–10
Avg Rank when present
4.7
of 531 unique competitor brands
Citations analyzed
27.8K
across 365 source domains
Admiral Ranking Mentions
16
across 11 of 20 queries · 4 LLM providers
Source URLs Analyzed
839
unique citation URLs traced to rankings
§ 01

Executive findings

2,415 ranking observations · 27,836 source citations

Admiral has credible presence in just 5 of 19 vertical-city cells. Designers in Cardiff is the strongest cell, at rank 1 with visibility 92. Outside South Wales, Admiral barely registers: ten cells return Admiral nowhere in the answer, and four more name it at rank 7–10, where it is cited but not chosen.

Admiral wins in Cardiff because the LLMs have learned that Admiral is Cardiff. Outside South Wales, Admiral has no geographic identity in the answer, and no regional URLs for the answer to attach to. Key insight · § 02 visibility matrix

What the data shows

Two brands own the national answer. Simply Business and Hiscox appear in the top 5 of nearly every cell.

Regional specialists own one-fifth of all citations. Coversure Leeds, Edison Ives, Marquis Insurance Brokers, Kerry London. This is the gap to attack.

Every absence is traceable. The data ties each LLM-named brand to the source URLs the model consulted. Each absent cell can be turned into a concrete content brief.

Read the detail

Simply Business is cited in 5/5 cities and all 4 verticals (118 ranking mentions, around 4% of all positions). Hiscox is next at 97.

Single-city brands absorb close to 20% of total citation share, winning their city across multiple verticals.

27,836 citation rows trace each LLM-named brand to the source URLs the model consulted, so any absent cell can be reverse-engineered into a content brief.

Why it matters

The retrieval layer is already deciding. Live web results feed AI answers today. Visibility here behaves like classic SEO and compounds.

The Cardiff signal is the proof. Admiral wins one corner because content depth, geography and niche align. The playbook is cloneable.

Sentiment is not the problem. When Admiral is mentioned, sentiment runs 14 positive against 1 negative. This is presence, not perception.

Read the detail

ChatGPT Search, Perplexity, Claude with web access, Gemini and Google AI Overviews all pull live web results at answer time. Once a URL is cited it is more likely to be cited again, so visibility is slow to build but sticky once established.

The Cardiff result shows what the playbook produces when content depth, geography and niche align. Outside South Wales the surface is uncontested.

Sentiment data shows the brand is well-received when surfaced. The issue is being surfaced at all, which is fixable through content and structure rather than brand spend.

§ 02

The visibility matrix

Click any cell · drilldown into citations

Admiral's position in each vertical-city cell, colour-coded by quality of presence. Strong means Admiral hit rank ≤ 3 with at least one provider; Mid means rank 4–6; Weak means Admiral was named only at rank 7–10 (functionally invisible in the answer). Absent means no LLM named Admiral at all. Click any cell to drill into the top brands, the source domains that drove those rankings, and Admiral's specific citation evidence in that cell.

Strong · rank ≤ 3 Mid · rank 4–6 Weak · rank 7–10 Absent · not cited No data · re-run required
LondonManchesterBirminghamLeedsCardiff
§ 03

Per-query drilldown

Click any query to see citation sources & top brands

Each of the 20 completed prompts, with the citation totals each one generated and Admiral's status in that specific query. Click any card to see the source domains that drove citations and the top brands the LLMs named in their answers.

§ 04

How each LLM sees the category

4 providers · 4 personalities · 4 Admiral footprints

The four major LLMs behave very differently. Each ranks regional specialists differently, cites different sources, and has a different relationship with Admiral. Treating them as one audience hides the real story.

Where Admiral wins

Perplexity reads Admiral as the dominant Cardiff Designer answer (avg rank 1.7, best visibility 100). Claude gives Admiral the widest geography (8 mentions across 6 cells) at lower rank quality.

Read the detail

Perplexity's Admiral footprint is narrow at 3 mentions, all in Cardiff. Claude's is broader at 8 mentions across 6 cells, but the average rank is 6.4, so Claude names Admiral but ranks it middling.

Where Admiral is dead

ChatGPT is the highest-priority gap. 31 jobs, 2 Admiral mentions. ChatGPT is also the least friendly provider to regional specialists.

Read the detail

Only 5% of ChatGPT's named brands are regional specialists, against 17% for Claude. ChatGPT prefers national-scale brands like Simply Business and Hiscox. Winning ChatGPT requires national authority signals, not city-microsites alone.

Provider personalities

Each LLM has a distinct citation diet. The four cards above show how each one treats regional specialists, national brands, and Admiral specifically.

Read the detail

Claude names the most regional specialists (17% of brands). Gemini is the volume firehose (734 ranking rows, 183 unique brands) but sparse on Admiral. Perplexity has the most diverse brand pool (214 unique) and the most stable signal. ChatGPT is the most consolidated, with a strong bias toward a small set of national brands.

What this means for the launch plan

Win Claude and Perplexity first. Admiral already has a footprint signal on both. ChatGPT and Gemini require national-authority content, not local microsites alone.

Read the detail

Claude and Perplexity surface regional specialists readily, which makes them the natural target for microsite content. ChatGPT and Gemini index more heavily on national brand signals, so closing those gaps requires statutory anchors, FCA references and trade-body alignment pages alongside the microsite play.

Perplexity already knows Admiral wins Cardiff. ChatGPT does not know Admiral exists. Provider footprint · § 04
§ 05

What LLMs actually say

1,249 mentions · 1,706 reasons · sentiment, tone, justification

Beyond who LLMs cite, the data captures how they cite. Across 1,706 ranking justifications, 94% are positively framed, so absolute sentiment is not the signal. The signal is the shape: which reason categories dominate (expertise, reviews, pricing) and which brand earns clinical neutrality versus marketing enthusiasm.

Three findings the data supports

1. Sentiment doesn't equal rank

The brands LLMs gush over most — Gallagher (compound 0.659), DUAL UK (0.560), Chubb (0.541) — rank middling (avg #5.5, #7.3, #5.6). Meanwhile GoForma earns the flattest tone of any brand at 0.066 compound — and yet sits at avg rank #1.0 with visibility 100. LLMs cite GoForma the way they cite Wikipedia: factually, without adjectives. Effusive language signals marketing copy in the source pages; neutral language signals authority. The launch plan should prefer the latter.

2. Reason-category mix is a brand fingerprint

Simply Business and Hiscox both win on expertise (50-63%) plus reviews — the standard challenger-brand shape. Tradesman Saver leans heavily on reviews (35%) — a trust-signal play. PolicyBee and Markel skew expertise + pricing — a specialist proposition. GoForma is the outlier: only 25% positive reason rate, 42% general-mention, 25% credentials — a clinical authority brand, not a marketing brand. Different microsites should target different reason shapes, not all default to "expertise + reviews".

3. The LLM model of Admiral is small but coherent

Admiral has only 14 attributable reason rows (12 positive, 2 neutral), but they converge tightly: 64% are tagged expertise, 21% reviews, 14% pricing. All three positive Admiral quotes captured below independently mention Cardiff headquarters, designer specialisation, and local South Wales support. Two of three reference the £7.08/month price tell. The LLMs already have a clear model of Admiral — it is just a narrow one (Cardiff, designers). This is consistent with the matrix in § 02: Designers/Cardiff is the stronghold; everything else is open.

What LLMs literally say about Admiral

These are verbatim reason strings from the citation_reasons table, attributed to Admiral Business by the named provider. Sample is small (3 positive, 1 neutral attributable quotes); interpret accordingly.

Sentiment + rank, top 12 brands

Mean sentiment compound score across all completed-job mentions, joined to ranking observations. Sorted by mention volume. Brands with fewer than 5 mentions excluded for stability. Admiral shown for reference despite small sample.

Brand Mentions Sentiment Avg rank Avg vis Reason mix
Caveat. 94% of all 1,706 reasons are positively framed. Sentiment compound scores are best read as a relative tone gauge between brands, not an absolute polarity signal. Across the 27 brands with enough mentions and rankings for a stability test, sentiment and rank are weakly correlated (Pearson r=0.38, p=0.05), and the direction is driven almost entirely by the GoForma outlier. The reason-category mix is the more stable signal.
§ 06

Top citation sources

Weighted by influence score · across all 20 queries

These are the source domains the four LLMs cited most heavily when answering Admiral-relevant prompts. Weighted influence accounts for both citation frequency and citation position (position 1 counts double position 5). Domains marked insurer are competitor first-party properties; comparison are aggregator/review sites; trade-body are NICEIC/FMB-class authorities.

Domain type share of weighted influence

Top 25 source domains

# Source domain Type Citations Weighted Brands Queries Providers
§ 07

What cites Admiral

253 source rows · 101 unique domains · 11 admiralbusiness.com self-cites

The source URLs the LLMs read when constructing answers that ended up naming Admiral. Important framing: these are not direct citations of admiralbusiness.com — they are the source pages the model consulted while building a ranking that happened to contain Admiral. Of the 253 source rows traced back to an Admiral ranking, only 11 are admiralbusiness.com self-citations. The rest are competitor pages, comparison aggregators, and review sites that mentioned Admiral in passing (often as a footnote in a "best UK insurers" list).

The strategic read: simplybusiness.co.uk, axa.co.uk, hiscox.co.uk and markeluk.com each surface Admiral more often than admiralbusiness.com itself does in the LLM source pool. Admiral's on-site signal is being out-performed by incidental mentions on competitor properties — a fixable structural weakness.

# Source domain Citations Providers Across queries
§ 08

Who is winning

Top 12 brands · ranked by total citations

Three tiers emerge from the data. National giants (5 cities, 4 verticals) — Simply Business, Hiscox, AXA, Direct Line for Business, Markel Direct — collectively own ~22% of all ranked positions. Specialist nationals (Rhino, Tradesman Saver, PolicyBee, Kingsbridge) win specific verticals — tradespeople, designers, contractors — across geographies. Regional specialists win one city across multiple verticals (see § 07).

# Brand Mentions Share Avg rank Avg vis Footprint
§ 09

Why competitors get cited

2,101 reasons extracted · vs. 222 gap observations

For every ranking observed, the pipeline extracted the model's stated reason for citing that brand. Below: the categories of reason the LLMs use, vs. the categories of content gap the pipeline identified on admiralbusiness.com.

Reasons competitors win citations

n = 2,101 stated reasons across all brands

Content gaps on admiralbusiness.com

n = 222 pipeline-derived gap observations

Top 10 highest-priority gaps

# Gap Category Score Prompts Top competitor
§ 10

Methodology & caveats

Sample scope · v0.9

What was run

20 unique prompts issued across the four major LLM providers — Anthropic (Claude), OpenAI (ChatGPT), Google (Gemini) and Perplexity. Each completed run produced a ranked list of brands plus per-brand reasons, with every ranking position back-linked to the source URLs the model used to construct that ranking. All citation provenance lives in the Bloxx D1 schema (27,836 ranking-source-citation rows across the 20 queries, spanning 839 unique source URLs and 365 source domains).

Sample limitations

Sample size. 20 prompts is a directional sample, not a statistical one. Full scope of work covers 300+ prompts across the four buyer-journey stages. Cells with one completed job — Builders × Birmingham, Builders × Cardiff, Designers × Birmingham, Contractors × Cardiff, Tradespeople × Cardiff — carry weak signal.

Verticals & locations

Verticals (4): Builders, Contractors, Tradespeople, Designers. Maps to admiralbusiness.com's Tradespeople and Professionals product hubs. Couriers — fast-growing Admiral audience — was not in this sample and will be added in the full run.

Locations (5): London, Manchester, Birmingham, Leeds, Cardiff. Full-scope run extends to Glasgow, Edinburgh, Belfast, Newcastle, Sheffield, Liverpool, Bristol and Cambridge, matching the ~35% regional weighting in the GEO roadmap.

Scoring methodology

Microsite opportunity score: +40 Admiral absent / rank ≥ 7; +30 regional specialist dominates; +20 Admiral zero appearances; +10 tier-1 verticals; +10 tier-1 locations. Max 110.

Influence weighting: Each citation is weighted by its position in the source list (1.0 for position 0, 0.5 for position 1, 0.33 for position 2…). Weighted influence is the sum of these scores across all citations from a domain.

Next steps

(1) Commission the three Phase 1 flagship microsites in § 08 and brief the Bloxx component pipeline for Phase 0 hero proof-of-concepts. (2) Expand the audit to 300+ prompts across all four buyer-journey stages (problem-aware, solution-aware, comparison, ready-to-buy) and the extended regional matrix, adding the Couriers vertical. (3) Set up weekly citation share drift monitoring once the Phase 1 microsites go live so we can measure the lift in real time before committing Phase 2 capital. (4) Add Scotland, Northern Ireland, the North East and Bristol to the regional matrix in the full run.

Bloxx Competition Intelligence · admiralbusiness.com dossier Generated 2026-05-13 · v0.9 sample Confidential — Admiral / Bloxx internal review