Sample AVS Analysis
These are three complete example AVS analyses — a meal kit startup, a sustainable household business, and a major online marketplace — each demonstrating one of our audit formats. The methodology is real. The processes are real. You're seeing exactly what you'll receive as a client.
Note: We've included costs of our service delivery in the National and International examples, but these can be done by a business's own agency or in-house team.
BoxMeal
AVS 28/100 — Whisper status. Known by AI but never recommended. The audit revealed a single citation source gap that explained almost everything.
Pebl
AVS 41/100 — Emerging status. Two pillars at Cited but a 21-point engine gap that the brand didn't know existed. The AVS International extended collection changed their entire strategy.
BigShop Marketplace
AVS 52 in the UK, 31 in the US, 18 in Germany. A dramatic localisation gap that turned out to be a content problem, not a brand problem. The cross-market analysis proved it.
BoxMeal is a UK meal kit subscription service — fresh ingredients, recipe cards, delivered weekly. Think HelloFresh meets Abel & Cole, but smaller and scrappier. They've been growing fast off Instagram and word of mouth, but they'd never thought about how AI talks about their business. Their founder saw HelloFresh being recommended by ChatGPT and panicked. That's when they found us.
We ran 32 category queries across ChatGPT, Perplexity, and Google AI Overview on a single day. Every response was read, scored, and mapped to BoxMeal's 8 citation pillars. The result told a clear story.
BBC Good Food's meal kit comparison page is the single most cited source across all three AI engines — 14 citations, driving 28% of all AI recommendations in the meal kit category. Gousto, HelloFresh, Mindful Chef, and Abel & Cole are all listed. BoxMeal is not. That one missing listing explains a huge chunk of BoxMeal's visibility gap. Which? Magazine (5 citations, particularly influential with Google AI Overview) also excludes BoxMeal. These two sources alone account for nearly a third of all AI citations in the category.
Only two of BoxMeal's eight pillars reached Emerging status: Ingredient Freshness & Sourcing and Sustainability & Packaging. These are the areas where AI already talks about BoxMeal most favourably — and they're significantly less competitive than generic "best meal kit" queries. The audit revealed that BoxMeal has a genuine opportunity to own the "eco-friendly meal kit" niche in AI answers, rather than competing head-on with Gousto for the generic top spot.
Every AVS audit comes with three costed, prioritised recommendations. BoxMeal's were:
What happened next
BoxMeal pitched BBC Good Food within the first month and were added to the comparison page within 60 days. They launched their sustainability content hub and submitted for Which? review. They're booked in for a quarterly re-audit to measure the impact. That's the process: measure, act, review, repeat.
Secure BBC Good Food listing (target: month 1–2) and Which? Magazine review (month 2–3). Build and launch sustainability content hub targeting eco-friendly queries (month 2–4). Achieve retailer listings or retail visibility mentions in comparison content (months 4–6). Monitor AI citability through quarterly re-audits.
AVS 28 → 40–45 within 12 months if recommendations are implemented. BBC Good Food listing alone projects a 5–7 point lift. Which? submission and sustainability content hub together project 7–10 additional points. Conservative estimate assumes 60% recommendation completion rate.
Pebl makes sustainable household cleaning products — refillable bottles, plastic-free packaging, plant-based formulas. Think Ecover meets Method, but built from the ground up for the zero-waste generation. They're B Corp certified with a 4.6-star Trustpilot rating and strong grassroots support on Reddit's ZeroWasteUK community. Their marketing director asked Claude "what's the best eco cleaning brand?" and Pebl came up. Then she asked Google AI Overview the same question — and Pebl was nowhere. That inconsistency in how different AI engines talked about their business is what brought them to us.
We ran 120 category queries per day across five AI engines — ChatGPT, Perplexity, Google AI Overview, Gemini, and Claude — over a 3-day (5-day with add-on) window. 630 total queries. Every response scored across 12 citation pillars. Extended collection means we could measure consistency, not just a single snapshot.
This is what an AVS audit with extended collection reveals. Claude cited Pebl at 42% — the highest of any engine. Google AI Overview cited Pebl at just 21%. A 21-percentage-point gap between two major AI platforms. The reason? Google AI Overview and Gemini rely heavily on Which? Magazine (12 citations) and Good Housekeeping (8 citations) for product recommendations. Pebl is completely absent from both. Claude and Perplexity rely more on The Guardian (23 citations, where Pebl has 2 features) and B Corp listings. Different engines trust different sources — and Pebl's source profile was accidentally optimised for some engines but invisible to others.
Pebl achieved Cited status on two pillars: Plastic-Free Packaging and Refill & Circular Economy. These are genuine differentiators that no competitor matches at this level. Five more pillars sit at Emerging. But the Price Accessibility pillar is at Ghost — every AI engine frames Pebl as "premium-priced" or "not budget-friendly", and the business never appears in cost-of-living or budget queries. The channel tier analysis showed that Pebl's own blog generates zero AI citations — the content is too thin and promotional for AI to treat as authoritative.
The AVS audit delivers 10 costed, prioritised recommendations. Pebl's top three:
This is an excerpt from the full report. The complete audit includes 10 prioritised recommendations across brand visibility, content strategy, and earned media opportunities.
What happened next
Pebl submitted for Which? review within the first month and pitched Good Housekeeping's eco testing programme. They rebuilt their blog with 6 long-form, data-rich articles targeting specific pillar queries. Their marketing director committed to a quarterly re-audit to track movement. Target: AVS 55+ within 6 months. Measure, act, review, repeat.
Submit Which? Magazine sustainable products review (target: week 2). Pitch Good Housekeeping's eco testing programme (week 2–3). Commission and publish independent lifecycle analysis (week 3–8). Launch 6 pillar-specific, long-form blog articles (ongoing, weeks 2–12). Begin quarterly re-audit tracking.
AVS 41 → 55+ within 6 months, 65+ within 12 months with quarterly tracking. Which? listing projects a 7–9 point lift. Good Housekeeping accreditation projects 5–7 points. Blog and lifecycle analysis together project 7–10 additional points. Target assumes 75% recommendation completion and consistent quarterly re-audits to track and adjust strategy.
BigShop Marketplace is a major online marketplace — electronics, fashion, home, food, and everything in between. Sellers list products, BigShop handles payments, logistics, and customer service. Think of it as a serious Amazon and eBay competitor operating across the UK, US, and Germany. Their head of marketing knew the business was losing the AI narrative to Amazon in every market — but she needed to understand exactly where, how badly, and whether the fix was the same in each country.
We ran queries simultaneously across the UK (en-GB), US (en-US), and Germany (de-DE) using all five engines — ChatGPT, Perplexity, Google AI Overview, Gemini, and Claude. Native-language queries in German. 61 queries per engine per day per market. 3-day collection (5-day with AVS International add-on). 6,405 total queries generating 4,612 citations.
The 3× gap between UK (AVS 52) and Germany (AVS 18) is not about product quality — BigShop's marketplace works the same in all three countries. The audit proved it's a content and PR deficit. In the UK, the business has 5 features across The Guardian and The Telegraph — those two publications alone drive its Cited status. In the US, the three most-cited sources for marketplace queries — NYT/Wirecutter (21 citations), Business Insider (14), and Good Housekeeping (6) — have zero BigShop coverage. In Germany, it's worse: Handelsblatt (11 citations), Trusted Shops (7 citations), Idealo (8 citations), and Der Spiegel (5 citations) all have zero BigShop presence. The German .de domain has minimal German-language content, and AI models treat BigShop as "a British marketplace" rather than one that operates in Germany.
Despite operating in Germany for over 3 years, German-language AI answers describe BigShop as "a British marketplace" rather than one that serves German customers. The .de domain has minimal German-language content, no German press coverage, and no presence on Trusted Shops or Idealo — the review platforms that German AI engines rely on most. The cross-market analysis also revealed that Delivery & Logistics is the strongest pillar across all three markets (Cited in UK, Emerging in US, Whisper in DE) — a competitive advantage over Amazon that only becomes visible when you compare across countries.
The AVS International delivers prioritised, costed recommendations for each market. BigShop's top actions:
Plus client-owned actions: Trusted Shops certification (DE), US Trustpilot rating recovery (3.8★ → 4.2+).
What happened next
BigShop committed to a quarterly re-audit programme across all three markets. Priority one: the Germany content programme — German-language content hub, Handelsblatt feature, Trusted Shops certification. Priority two: US press — targeting Wirecutter and Business Insider. Their first quarterly re-audit showed Germany moving from AVS 18 to 28 and the US from 31 to 38. The UK held steady at 53. The localisation strategy is working. Measure, act, review, repeat.
Germany (Priority 1): German-language content hub (week 3–8), Handelsblatt pitch and feature (week 2–6), Trusted Shops certification (ongoing). US (Priority 2): Wirecutter and Business Insider PR outreach (week 2–4), thought leadership placement (weeks 4–8). All markets: Begin quarterly re-audit cycle to track impact across 15 core pillars.
Germany: AVS 18 → 28–32 within 3 months (German content + Trusted Shops), 40–45 within 12 months. US: AVS 31 → 40–45 within 3 months (Wirecutter + Business Insider), 50–55 within 12 months. UK: AVS 52 → maintain or grow to 55–58 through content refresh and market leadership. Cross-market localisation strategy targets 35-point average growth across three markets within 12 months.
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