Sample AVS Analysis
These are three complete example AVS reports — a meal kit startup, a SaaS project management tool, and a large department store chain — each demonstrating a different cadence, tier, and report format. The methodology is real. The Top 12 recommendations format is real. You're seeing exactly what you'll receive as a client.
Note: All three are fictional businesses with fictional data. K&C pricing in the reports is indicative — finalised once you've confirmed which recommendations you want K&C to support with. PR Connect pricing is an estimate that depends on the partner engaged.
Box Meal
AVS 18/100, Ghost band under v1.1 methodology. AI knows Box Meal for sustainability but never recommends it for general meal kit queries. HelloFresh owns 42% share of voice. The opportunity: own the eco-friendly niche and expand into broader queries.
Pebble
AVS 24/100, Visible band under v1.1, up from 15/100 (Ghost) in Report 1. This is a subsequent report showing how the format tracks progress: what was done, what moved, what's next. The +9 point uplift came from executing 6 of 12 Report 1 recommendations.
BigShop
AVS 62/100, Cited band. Combined UK (65) and Germany (48). An established retailer with strong real-world recognition translating into AI visibility — but a significant UK-Germany gap that the report identifies and addresses market by market.
Box Meal is a fictional UK meal kit delivery startup — locally sourced ingredients, zero-waste packaging, recipe cards delivered weekly. Two years old, 12 employees, growing fast through Instagram and word of mouth. Their founder asked ChatGPT "what's the best meal kit in the UK?" and got HelloFresh, Gousto, Mindful Chef. Box Meal wasn't mentioned. That's when they found us.
We collected 6,300+ data points across ChatGPT, Google AI Overview, and Perplexity over a 7-day measurement window. Every response was scored and mapped to Box Meal's 12 AVS pillars. The result told a clear story.
Box Meal is visible when sustainability is the explicit topic — but invisible when the question is simply "best meal kit in the UK." The sustainability niche is a foothold, not a destination. The major food-press comparison articles (BBC Good Food, Good Housekeeping, TechRadar) that AI draws from don't include Box Meal on any of them.
The full report contains 12 recommendations ordered by likely impact, each with a type tag (K&C Content, K&C PR Connect, Combined, Internal) and indicative pricing. Box Meal's top three:
Plus 9 more recommendations covering schema markup, original research, case studies, video content, and directory listings.
What this example shows
Box Meal demonstrates the base AVS Report 1 format — the first measurement for a new client. Score derivation, 12-pillar grid, competitor tables, citation sources, and 12 prioritised recommendations with indicative pricing. Annual cadence means one report per year; the next report (Report 2) would add progress tracking, score change, and an LLM landscape update. Focus. Measure. Plan. Deliver. Repeat.
Pebble is a fictional UK SaaS project management tool for freelancers and micro-agencies. Founded 2022, 8 employees, bootstrapped, based in Manchester. Simple, opinionated PM — tasks, time tracking, and invoicing in one place. £12/mo per user. Positions itself against Monday.com, Asana, Trello as "the PM tool that doesn't need a PM to set up." This is their second AVS report — six months after Report 1.
Six months after Report 1, we collected 6,100+ data points across ChatGPT, Google AI Overview, and Perplexity over a 7-day measurement window. This is Report 2 — it includes everything from Report 1 plus three additional sections: progress against previous recommendations, score change, and an LLM landscape update.
Report 2 adds a progress section showing the status of each Report 1 recommendation: 6 Done (including /vs pages, FAQPage schema, G2/Capterra listings, ProductHunt launch), 3 Partial (LinkedIn newsletter started, TechRadar inclusion confirmed, one case study published), 3 Not done (original research, podcast sponsorship, second case study). The +9 point uplift demonstrates the strategy is working — the recommendations that were completed drove measurable improvement.
Pebble's /vs comparison pages account for 40% of all new mentions since Report 1. But Pebble is still invisible in generic "best PM tool" queries. The next phase is authority-building: original research, press coverage, and video content that moves Pebble from "niche alternative" to "category contender" in the freelancer PM space.
Report 2's Top 12 is refreshed from Report 1 — completed items drop off, new opportunities replace them, and priorities reshuffle based on what the data now says. Top three:
Plus 9 more recommendations including LinkedIn cadence increase, case study completion, integration directories, and methodology content.
What this example shows
Pebble demonstrates the Report 2 format — the subsequent measurement that shows progress. Three sections are added on top of the standard Report 1 structure: (1) progress against Report 1's Top 12, (2) score change with per-dimension breakdown, and (3) an LLM landscape update covering what's changed in the AI ecosystem. The Top 12 recommendations are refreshed — completed items replaced, new opportunities added, priorities reshuffled based on fresh data. Focus. Measure. Plan. Deliver. Repeat.
BigShop is a fictional large UK department store chain — fashion, homeware, beauty, and an acclaimed food hall. Founded 1956, 2,200 employees, 45 stores across the UK and 8 stores in Germany. Known for quality own-brand ranges and in-store experience. Their head of digital knew BigShop trailed John Lewis and M&S in AI recommendations — but she needed to understand exactly where, how badly, and whether the gap was the same in each country.
We collected thousands of data points across ChatGPT, Google AI Overview, and Perplexity in the UK (en-GB) and Germany (de-DE) over a 7-day measurement window. tailored prompt sets per market, native-language queries in German. Every response scored across 12 AVS pillars per market, then combined into a composite score.
The UK-Germany gap is not about product quality — BigShop's stores and service are comparable in both markets. The audit proved it's a content and localisation deficit. BigShop.de redirects to a translated product catalog but has no brand story content in German. German AI responses cite the English brand pages poorly. In the UK, Guardian and Telegraph features drive Cited status. In Germany, Stern, Spiegel, and Chip.de — the top German citation sources — have zero BigShop presence.
The full report contains 12 recommendations with market tags showing which apply to UK, Germany, or both. Top three:
Plus 9 more recommendations covering YouTube, schema markup, original research, German press outreach, sustainability content, and food hall strategy.
What this example shows
BigShop demonstrates the multi-market format — the multi-market flow that runs separate query sets in each market with native-language prompts. The report shows a combined composite score with per-market breakdowns, separate UK and Germany competitor tables, market-tagged recommendations, and transparent scoring that shows exactly where the UK-Germany gap exists. Quarterly cadence means four measurements per year — Report 2 (in 3 months) will add progress tracking. Focus. Measure. Plan. Deliver. Repeat.
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