Admiral Business is barely visible in the AI surfaces where SMEs are now researching insurance.
- 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
- 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.
- Replicate the Cardiff playbook in Leeds, Manchester and Birmingham for each major trade
- Publish transparent pricing per cover type. LLMs quote concrete £ numbers verbatim
- Add trust signals at scale: schema-marked reviews, named expert authors, dated case studies
- Open ChatGPT and Gemini with national-authority content (FCA references, trade-body alignment, statutory anchors)
| Brand | Share | Avg rank |
|---|---|---|
| Simply Business | 4.85% | 3.5 |
| Hiscox | 3.90% | 4.2 |
| Direct Line for Business | 3.12% | 6.0 |
| AXA | 2.88% | 5.2 |
| Markel Direct | 2.71% | 5.6 |
| … rows 6 to 36 … | · | · |
| Admiral Business | 0.58% | 4.8 |
Executive findings
2,415 ranking observations · 27,836 source citationsAdmiral 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.
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.
The visibility matrix
Click any cell · drilldown into citationsAdmiral'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.
| London | Manchester | Birmingham | Leeds | Cardiff |
|---|
Per-query drilldown
Click any query to see citation sources & top brandsEach 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.
How each LLM sees the category
4 providers · 4 personalities · 4 Admiral footprintsThe 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.
What LLMs actually say
1,249 mentions · 1,706 reasons · sentiment, tone, justificationBeyond 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 |
|---|
Top citation sources
Weighted by influence score · across all 20 queriesThese 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 |
|---|
What cites Admiral
253 source rows · 101 unique domains · 11 admiralbusiness.com self-citesThe 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 |
|---|
Who is winning
Top 12 brands · ranked by total citationsThree 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 |
|---|
Why competitors get cited
2,101 reasons extracted · vs. 222 gap observationsFor 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 |
|---|
Methodology & caveats
Sample scope · v0.9What 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.