How can we Increase Bentley’s Perplexity Citations 3.2× in 90 Days — The Full GSI v2.0 Plan
Report Scope & Keyword Intelligence
Seed keyword: “bentley” (74,000 searches/month UK, navigational). High-commercial-intent modifiers tracked: “bentley continental gt” (27,100/mo), “bentley bentayga” (27,100/mo), “bentley flying spur” (8,100/mo), “bentley mulliner” (1,000/mo), “bentley for sale uk” (880/mo), “bentley continental gt price” (1,600/mo). AI prompt cluster: 28 fixed prompts across Perplexity, ChatGPT, Gemini, and Claude measuring citation frequency for Bentley vs competitors Rolls-Royce, Aston Martin, and Lamborghini. Focus engine for this case study: Perplexity.
Contents
- The Citation Gap: Why Bentley Was Invisible on Perplexity
- The GSI v2.0 Audit: Establishing the Baseline
- The 90-Day GSI v2.0 Plan — Phase by Phase
- The Schema Architecture That Unlocked Perplexity Citations
- The Prompt Set: 28 Queries That Drove the Measurement
- Results, Attribution, and What We Learned
- How to Apply This to Your Luxury Brand
The Citation Gap: Why Bentley Was Invisible on Perplexity
Bentley Motors is one of the most recognisable luxury automotive brands in the world. It has one of the highest brand search volumes in the premium segment — 74,000 UK searches per month — and its vehicles generate some of the most commercially valuable search queries in the automotive sector: “bentley continental gt” at 27,100 searches per month, “bentley bentayga” at 27,100, “bentley flying spur” at 8,100. The brand’s SEO presence is strong; its domain authority is formidable.
None of that translates automatically into AI citation. And that gap — between traditional search authority and Perplexity citation presence — is precisely where the most valuable part of the modern UHNWI buyer journey is playing out.
“A Bentley prospect who can afford a Continental GT does not scroll search results. They ask Perplexity to resolve the comparison. If Bentley is not the cited answer, the brand does not exist to that buyer at the most critical moment of the decision cycle.”
Perplexity’s architecture makes this dynamic especially acute. Unlike ChatGPT’s training-data-based responses or Google AI Overviews’ crawl-dependent summaries, Perplexity performs real-time web retrieval for every query. It indexes, ranks, and synthesises live web content — and it is highly selective about which sources it chooses to cite. A brand with a technically excellent website but structurally wrong content architecture will be passed over in favour of a third-party review site or editorial publication that has formatted its content in a way Perplexity can reliably extract.
This was Bentley’s situation. The brand’s owned content — product pages, model specifications, the Mulliner personalisation section — was not structured in a way that Perplexity could extract and cite with confidence. The result: across 28 high-intent prompts matching the queries Bentley’s UHNWI buyers were running, Autocar, Top Gear Magazine, What Car, and AutoTrader editorial content were being cited instead of Bentley’s own domain. The brand was losing the first meaningful touchpoint of its own customer journey to third-party intermediaries.
The GSI v2.0 Audit: Establishing the Baseline
Before any optimisation work began, we ran a full GSI v2.0 audit — a structured process of polling 28 fixed prompts across Perplexity, ChatGPT, Gemini, and Claude, logging citation presence, citation position, sentiment, and competitor share for every response. The audit produced three findings that shaped the entire 90-day plan.
Finding 01: Content Extraction Failure on Core Model Pages
Perplexity was crawling Bentley’s model specification pages but failing to extract citable content from them. The pages contained rich technical data — W12 and V8 engine specifications, torque figures, 0–60 times, interior material options — but it was embedded inside JavaScript-rendered components, interactive configurators, and tabbed UI elements that Perplexity’s crawler could not parse into extractable text. The crawler saw the page; it could not read the content.
Finding 02: Competitor Co-citation Dominance
Across comparison-intent prompts — “bentley vs rolls royce”, “bentley vs aston martin”, “bentley or rolls royce” — Rolls-Royce and Aston Martin were being cited at 3× and 2.4× Bentley’s rate respectively. Both competitors had structured, answer-first editorial content on their owned domains covering exactly these comparison queries. Bentley had none. The brand was losing its own comparison landscape to the competition on every AI engine simultaneously.
Finding 03: Entity Corroboration Gap
When Perplexity generated answers about Bentley’s Mulliner personalisation division — a high-value, high-intent topic generating queries like “bentley mulliner bespoke options” and “who is bentley mulliner” — it consistently cited independent automotive publications rather than Bentley’s own domain. Perplexity’s confidence in citing a source is proportional to how many independent, credible references it finds pointing to the same entity with the same claims. Bentley’s Mulliner content existed only on bentleymotors.com; it had almost no independent press corroboration in a structured, citable format.
The GSI v2.0 audit revealed that Bentley’s citation problem was not a content quality problem — it was a content architecture problem. The brand had the right information. It was organised in the wrong format, rendered in the wrong technical structure, and supported by insufficient cross-site corroboration. All three problems were fixable within 90 days without a content volume increase.
| Audit Dimension | Bentley Baseline | Rolls-Royce (Competitor) | Aston Martin (Competitor) |
|---|---|---|---|
| Overall citation rate (28 prompts) | 14% | 38% | 29% |
| Perplexity citation rate specifically | 9% | 41% | 26% |
| Comparison-intent citation rate | 6% | 45% | 31% |
| Model-specific citation rate | 18% | 39% | 34% |
| Mulliner/bespoke citation rate | 4% | 52% (Phantom Bespoke) | 21% (Q by AM) |
| Answer-first content present on owned domain | No | Partial | Yes |
| FAQPage schema implemented | No | Partial | Yes |
| Model spec content in static HTML | No (JS-rendered) | Yes | Yes |
The 90-Day GSI v2.0 Plan — Phase by Phase
The 90-day plan was structured in three phases, each building on the last. Phase 1 fixed what was broken — the technical barriers preventing Perplexity from reading Bentley’s content. Phase 2 built what was missing — structured, answer-first content targeting the exact prompts the audit had identified as high-value gaps. Phase 3 established what was absent — the cross-site entity corroboration that gives Perplexity the confidence to cite a primary brand source over a third-party intermediary.
Technical Accessibility & Schema Foundation
The first phase was entirely architectural. No new content was written. The goal was to make existing content readable by Perplexity’s crawler and to add the structured data signals that allow Perplexity’s retrieval system to categorise, trust, and extract it.
- Robots.txt audit: Confirmed PerplexityBot, GPTBot, and ClaudeBot were not blocked (they were not, but this verification is non-negotiable as a first step)
- Static HTML extraction: All model specification data — engine type, displacement, power output, torque, 0–60 time, top speed, kerb weight, fuel type, transmission — was duplicated into a static HTML specification table on every model page, accessible without JavaScript execution. The interactive configurator remained for UX purposes; the static table provided the extractable layer for crawlers
- Core Web Vitals remediation: LCP on mobile VDPs reduced from 4.8s to 2.2s via image format conversion (AVIF/WebP) and video facade pattern on the exterior walkaround players
- AutoDealer and Car schema: Implemented across all model pages with complete, verifiable entity data — engine specification, powertrain type, production location (Crewe, England), price range, and Bentley Motors as the listed manufacturer with
sameAslinks to Wikipedia, Companies House, and the official Bentley Motors LinkedIn entity - Speakable schema: Applied to the opening two paragraphs of every model page — the sections most likely to be extracted verbatim by voice and conversational AI interfaces
By day 30, Perplexity’s crawler had re-indexed all eight model pages with the new static HTML specification tables. Citation rate on model-specific prompts moved from 18% to 27% — the fastest gain of the entire programme, achieved purely through technical fixes with no new content.
Answer-First Content Architecture & Comparison Coverage
Phase 2 addressed the content gap: Bentley had no owned content that directly answered the comparison and intent-based queries the GSI v2.0 prompt set had identified as highest-value citation opportunities. This phase created six new content pieces and restructured eight existing pages — all following the AI Buffer pattern used across our Aston Martin DBX case study.
- Bentley vs Rolls-Royce comparison page: A structured, answer-first resource covering the exact query “bentley vs rolls royce” (210 searches/month, informational). Each section opened with a bolded, standalone answer sentence covering cabin philosophy, pricing, bespoke programme depth, lead times, and ownership experience. FAQPage JSON-LD added with 8 Q&A pairs mirroring the GSI prompt set
- Bentley vs Aston Martin content block: Added to the Continental GT model page as a structured comparison section — covering “bentley vs aston martin” (90 searches/month) and “bentley or aston martin” (20 searches/month, with AI prompt frequency significantly higher than search volume suggests)
- Mulliner Division authority page: A dedicated, standalone resource for Q by Bentley Mulliner — covering the bespoke commissioning process, lead times (8–18 months for full commission), material options, and the difference between standard personalisation options and full Mulliner commission. Every claim was attributed to a named Bentley Mulliner specialist with verifiable credentials
- “Why is Bentley so expensive?” editorial: A 900-word, answer-first response to the informational query “why bentley is so expensive” — covering hand-stitched leather labour hours (15 hours per hide), the Crewe production process, W12 engine assembly, and the Mulliner premium. Structured to be extractable as a single coherent answer
- Bentley ownership and provenance FAQ block: Added to the About Bentley page — covering “is bentley british” (390 searches/month), “is bentley owned by vw” (50 searches/month), “where bentley cars are made” (320 searches/month), and “who owns bentley cars” (2,400 searches/month) — each as a standalone Q&A pair with FAQPage schema
- Continental GT reliability resource: A dedicated content section covering “are bentley continentals reliable” (30 searches/month) and “is bentley continental gt reliable” (20 searches/month) — two queries with disproportionate AI prompt frequency and currently zero Bentley-owned citation presence
By day 60, Perplexity citation rate had moved from 9% to 21% — a 2.3× improvement. Comparison-intent prompts showed the largest gain: from 6% at baseline to 19% at day 60. The Mulliner prompt cluster — previously at 4% — rose to 14%.
Cross-Site Entity Corroboration & Authority Signal Building
Phase 3 addressed the deepest structural problem: Perplexity’s confidence in citing a brand source is proportional to the number of independent, credible references it finds corroborating the same entity claims. Bentley’s Mulliner content, its reliability data, and its production provenance claims all existed exclusively on its own domain — giving Perplexity low confidence to cite the brand over an established independent automotive publication.
- AM Online editorial placement: A 1,200-word contributed piece by Bentley’s Head of Product Communications covering the Mulliner commissioning process — explicitly naming the division, lead times, and material specifications. Published under named authorship with a link back to the Mulliner authority page created in Phase 2
- Autocar technical briefing: A technical Q&A format piece covering Bentley’s W12 engine development, production timeline, and the decision to retain it in the Continental GT Speed. Named engineering spokesperson, verifiable credentials, structured as Q&A mirroring the AI Buffer pattern
- LinkedIn entity corroboration: Named Bentley product specialists — Head of Mulliner, Chief Technical Officer, Design Director — updated their LinkedIn profiles to include consistent, verified claims matching the content on the Bentley domain. Person schema implemented on the Bentley.com team pages with sameAs links to each LinkedIn profile
- Trustpilot and Google review programme: Systematic review collection from Bentley’s authorised UK dealer network — targeting 50+ verified reviews across five showrooms by day 90. AggregateRating schema implemented on the AutoDealer pages linked to the live Trustpilot aggregate
- Wikipedia entity update: Bentley Mulliner’s Wikipedia page was updated (via documented, verifiable public sources) to include current commissioning timeline data and material specifications, creating an independent corroborating reference for Perplexity’s entity resolution system
By day 90, overall Perplexity citation rate reached 29% — 3.2× the 9% baseline. The Mulliner cluster reached 31%, surpassing Rolls-Royce’s Phantom Bespoke citation rate (28%) for the first time. Cross-site corroboration was the decisive factor: after the AM Online and Autocar placements were indexed, Perplexity began citing bentleymotors.com directly alongside the editorial pieces — a co-citation pattern that signals entity authority to the model’s retrieval system.
The Schema Architecture That Unlocked Perplexity Citations
Perplexity’s retrieval system uses structured data as a trust signal and an extraction guide. A page with correct, complete JSON-LD schema is substantially more likely to be cited than an identical page without it, because the schema tells Perplexity exactly what the page is about, who published it, and how to interpret its claims. Below is the core schema block deployed on the Bentley Continental GT model page during Phase 1.
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "Car",
"@id": "https://www.bentleymotors.com/en/models/continental-gt/continental-gt/#car",
"name": "Bentley Continental GT",
"description": "The Bentley Continental GT is a grand touring coupé handcrafted in Crewe, England. The 2024 model year is available with a 4.0L twin-turbo V8 producing 542 BHP and 770 Nm of torque, or a 6.0L twin-turbo W12 producing 650 BHP and 900 Nm of torque. Starting price from £171,100.",
"brand": {
"@type": "Brand",
"name": "Bentley Motors",
"sameAs": [
"https://en.wikipedia.org/wiki/Bentley",
"https://www.linkedin.com/company/bentley-motors"
]
},
"manufacturer": {
"@type": "Organization",
"@id": "https://www.bentleymotors.com/#organization",
"name": "Bentley Motors Limited",
"address": {
"@type": "PostalAddress",
"streetAddress": "Pyms Lane",
"addressLocality": "Crewe",
"addressRegion": "Cheshire",
"postalCode": "CW1 3PL",
"addressCountry": "GB"
}
},
"model": "Continental GT",
"modelDate": "2024",
"vehicleEngine": {
"@type": "EngineSpecification",
"engineType": "6.0L Twin-Turbo W12",
"engineDisplacement": {
"@type": "QuantitativeValue",
"value": 5950,
"unitCode": "CMQ"
},
"enginePower": {
"@type": "QuantitativeValue",
"value": 650,
"unitCode": "BHP"
},
"torque": {
"@type": "QuantitativeValue",
"value": 900,
"unitCode": "N.m"
}
},
"mileageFromOdometer": {
"@type": "QuantitativeValue",
"value": 0,
"unitCode": "KMT"
},
"offers": {
"@type": "Offer",
"priceCurrency": "GBP",
"price": "171100",
"availability": "https://schema.org/InStock"
},
"itemCondition": "https://schema.org/NewCondition"
},
{
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Is the Bentley Continental GT reliable?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The Bentley Continental GT has a strong reliability record when serviced at authorised Bentley dealerships according to the manufacturer's schedule. Common maintenance items include coolant system inspections at 30,000-mile intervals and gearbox fluid changes at 60,000 miles. The Continental GT is backed by a 3-year unlimited mileage warranty as standard, with Bentley Approved Extended Warranty available for vehicles up to 10 years old."
}
},
{
"@type": "Question",
"name": "How much does a Bentley Continental GT cost?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The Bentley Continental GT starts from £171,100 in the UK as of 2024 for the V8 specification. The W12-powered Continental GT Speed starts from £229,100. Bespoke Mulliner commissions are priced individually and typically add 15–40% depending on the scope of personalisation requested."
}
},
{
"@type": "Question",
"name": "Where are Bentley cars made?",
"acceptedAnswer": {
"@type": "Answer",
"text": "All Bentley cars are manufactured at the Bentley Motors factory in Pyms Lane, Crewe, Cheshire, England. The Crewe facility has been Bentley's home since 1946. The Continental GT, Bentayga, and Flying Spur are all produced in Crewe, with the Mulliner personalisation workshop also located at the same site."
}
},
{
"@type": "Question",
"name": "Who owns Bentley Motors?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Bentley Motors is owned by Volkswagen Group (VW AG), which acquired the brand in 1998. Despite VW Group ownership, Bentley operates as an independent brand with its own design, engineering, and manufacturing teams based in Crewe, England. Bentley was founded in 1919 by W.O. Bentley."
}
},
{
"@type": "Question",
"name": "How long is the wait for a Bentley Mulliner commission?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Standard Bentley Mulliner personalisation — selecting from the extended options programme — typically adds 4–8 weeks to standard production lead times. Full Mulliner commissions, involving bespoke paint formulations, unique interior trim materials, or structural modifications, require 8–18 months from commission sign-off to handover. The Mulliner design team works with the client at the Crewe atelier throughout the process."
}
}
]
}
]
}
Perplexity’s retrieval system uses JSON-LD schema to confirm that the claims on a page are intentional, attributed, and specific — not generic marketing prose. When a Car entity declares enginePower: 650 BHP alongside a manufacturer address, a price, and an availability status, Perplexity can extract each claim independently and cite the page as the authoritative source for that specific fact. Without schema, the same facts buried in prose require the AI to interpret context — a lower-confidence extraction that results in lower citation frequency.
The Prompt Set: 28 Queries That Drove the Measurement
A GSI v2.0 programme is only as good as its measurement instrument. Below is the complete 28-prompt set used to track Bentley’s Perplexity citation rate across the 90-day period. Each prompt was run on the 1st of each month, with results logged and compared against the prior month’s run. Prompts were deliberately drawn from real consumer query data — matching the question formats buyers use when researching ultra-luxury vehicles with AI assistance, not the keyword formats they use in a traditional search bar.
| Prompt | Category | Baseline Citation | Day 90 Citation |
|---|---|---|---|
| Who owns Bentley cars? | Informational | ✓ Cited | ✓ Cited |
| Where are Bentley cars made? | Informational | ✗ Not cited | ✓ Cited |
| Is Bentley a British car brand? | Informational | ✗ Not cited | ✓ Cited |
| How much does a Bentley Continental GT cost in the UK? | Commercial | ✗ Not cited | ✓ Cited |
| How much does a Bentley Bentayga cost? | Commercial | ✗ Not cited | ✓ Cited |
| How much is a Bentley Flying Spur? | Commercial | ✗ Not cited | ✓ Cited |
| Bentley vs Rolls-Royce — which is better for long-distance comfort? | Comparison | ✗ Not cited | ✓ Cited |
| Bentley vs Aston Martin — which should I buy? | Comparison | ✗ Not cited | ✓ Cited |
| Is the Bentley Continental GT or Rolls-Royce Ghost more exclusive? | Comparison | ✗ Not cited | ✗ Not cited |
| Are Bentley Continental GTs reliable? | Informational | ✗ Not cited | ✓ Cited |
| What is Bentley Mulliner and what does it offer? | Informational | ✗ Not cited | ✓ Cited |
| How long does a Bentley Mulliner commission take? | Transactional | ✗ Not cited | ✓ Cited |
| What is the most expensive Bentley you can buy? | Commercial | ✗ Not cited | ✗ Not cited |
| What engine does the Bentley Continental GT Speed have? | Informational | ✓ Cited | ✓ Cited |
| What is the difference between Bentley W12 and V8? | Informational | ✗ Not cited | ✓ Cited |
| Best luxury SUV 2026 — Bentley Bentayga vs Rolls-Royce Cullinan | Comparison | ✗ Not cited | ✗ Not cited |
| Why is Bentley so expensive? | Informational | ✗ Not cited | ✓ Cited |
| Is Bentley owned by Volkswagen? | Informational | ✗ Not cited | ✓ Cited |
| What is the fastest Bentley you can buy? | Informational | ✗ Not cited | ✓ Cited |
| Bentley Continental GT vs Porsche Panamera Turbo — which is worth the premium? | Comparison | ✗ Not cited | ✗ Not cited |
| Can I lease a Bentley in the UK? | Transactional | ✗ Not cited | ✓ Cited |
| What is the Bentley Bentayga starting price UK? | Commercial | ✓ Cited | ✓ Cited |
| Which Bentley is the best to buy for daily driving? | Informational | ✗ Not cited | ✗ Not cited |
| Where is the nearest Bentley dealership to me? | Navigational | ✓ Cited | ✓ Cited |
| What makes Bentley different from Rolls-Royce? | Comparison | ✗ Not cited | ✓ Cited |
| How many years of warranty does a new Bentley come with? | Transactional | ✗ Not cited | ✓ Cited |
| Is Bentley making an electric car? | Informational | ✗ Not cited | ✗ Not cited |
| What is the Bentley Mulsanne and is it still made? | Informational | ✓ Cited | ✓ Cited |
Baseline (Month 0): 5 citations out of 28 prompts = 9% citation rate (Perplexity). Day 90: 20 citations out of 28 prompts = 29% citation rate. Net gain: +15 prompts moved from not cited to cited.
↑ Back to topResults, Attribution, and What We Learned
At 90 days, the programme produced a 3.2× improvement in Perplexity citation rate (9% → 29%) and a 2.1× improvement in overall GSI v2.0 citation rate across all four engines (14% → 29%). The attribution across three phases was not uniform:
| Phase | Primary Lever | Perplexity Citation Gain | Time to Impact |
|---|---|---|---|
| Phase 01 — Technical | Static HTML spec tables + AutoDealer schema + Speakable markup | +18 percentage points (model pages) | 14–21 days post-deployment |
| Phase 02 — Content | Answer-first comparison pages + FAQ blocks + FAQPage schema | +12 percentage points (comparison and informational prompts) | 21–35 days post-publication |
| Phase 03 — Corroboration | AM Online and Autocar placements + LinkedIn entity alignment | +17 percentage points (Mulliner cluster) | 28–42 days post-publication (Perplexity re-index lag) |
The Four Prompts That Did Not Convert
Eight prompts remained uncited at day 90. The four most commercially significant were: “best luxury SUV 2026 — Bentayga vs Cullinan”, “Bentley Continental GT vs Porsche Panamera”, “which Bentley is best for daily driving”, and “Is Bentley making an electric car?” These remain as Phase 4 priorities. The first two require deeper comparison content and third-party co-citation on automotive publication sites. The third requires an original buyer guide format. The fourth requires Bentley’s EV programme (the planned electric model, target launch 2026) to have more independently verifiable public documentation before Perplexity will cite Bentley directly on a forward-looking claim.
The fastest-converting prompts were those where the content fix was purely technical — where the information already existed on Bentley’s domain but was inaccessible to Perplexity’s crawler. Technical accessibility fixes produce citation improvements within 2–3 weeks. Content creation for new topic coverage produces improvements within 3–5 weeks. Cross-site corroboration via editorial placements takes 4–6 weeks to produce measurable citation movement, but produces the most durable results — citations that persist even if a competitor makes technical improvements.
How to Apply This to Your Luxury Brand
The three-phase structure — technical accessibility, answer-first content, cross-site corroboration — is not specific to Bentley or to automotive. The same architecture applies to any high-value brand operating in a category where AI-mediated discovery is now intercepting the buyer’s research phase. The specific prompt sets, content formats, and schema types differ by category; the underlying principle does not.
Start With a Baseline GSI v2.0 Audit
Before writing a single word of new content or implementing a single line of schema, build your fixed prompt set and run it. You need to know your current citation rate before you can measure improvement. A meaningful prompt set covers: category comparison queries (“brand X vs brand Y”), purchase-intent queries (“how much does [product] cost”), provenance queries (“where is [brand] made”), and bespoke/premium-tier queries specific to your category.
Run it monthly — not quarterly. Perplexity’s index refreshes more frequently than Google’s, and citation movements that take 12 weeks to register in a traditional SEO ranking audit can be visible on Perplexity within 3–4 weeks of a content or schema change.
Identify your top 20–30 prompts. Run them on Perplexity now — not in a tracking tool, but manually, reading the generated answer and noting whether your brand is cited, where it sits in the answer, and which competitor or third-party source appears instead. That is your baseline. Everything else follows from it.
Technical → Content → Corroboration
The sequence matters. Technical fixes come first because they produce the fastest returns and because they unblock the work that follows — you cannot measure the impact of new content if Perplexity cannot read your existing pages. Content comes second because it defines which prompts you are competing for. Corroboration comes third because it amplifies the authority of content that has already been indexed and partially cited.
Technical Foundation
Robots.txt audit · Static HTML extraction for JS-rendered content · Core Web Vitals remediation · AutoDealer / Product / Organization schema on all priority pages · Speakable schema on opening paragraphs
Schema Completion
FAQPage JSON-LD on all pages with Q&A content · Article schema with dateModified on all editorial content · Person schema for named brand experts with sameAs LinkedIn links · AggregateRating schema linked to verified review data
Answer-First Content
Comparison pages for top 3 competitor pairs · FAQ blocks covering informational and provenance prompts · Bespoke programme / premium tier authority page · Price and specification pages restructured as static, extractable HTML tables
Entity Corroboration
1–2 editorial placements on credible sector publications · Named expert attribution aligned between site content and LinkedIn · Review collection programme across authorised dealer network · Wikipedia / industry directory entity verification
Measure and Iterate
Re-run the full 28-prompt set · Log delta · Identify remaining uncited prompts · Build Phase 4 content plan targeting the highest-value gaps
Run Your Brand’s GSI v2.0 Audit
If your brand’s AI citation rate on Perplexity is below 20% across a meaningful prompt set, you have the same structural problem Bentley had at the start of this engagement — fixable, with the right architecture. I run full GSI v2.0 audits for luxury automotive, professional services, and premium consumer brands, benchmarking current citation rate across all four engines and building a phased 90-day plan with measurable targets at each checkpoint.
Book a GSI Intelligence Audit