Four sections covering technical access, AI visibility, content, and reputation.
This is more than a crawl audit. We measure where your buyers go to find you, what AI says when they ask, and what's missing from your story.
10 DAZN Bet pages scored 1-10 against live RankBee competitor leaderboards. 9 of 10 sit at the floor; only the homepage clears 1.0.
10 buyer prompts run against Google UK + LLM web-search probes. DAZN Bet appears in 0 of 10 Google SERP top-10s and is functionally absent from competitive AI answers.
Prerender.io middleware fires only for whitelisted Googlebot UAs. ChatGPT's web fetcher gets a loader image. Claude hallucinates rather than admit the fetch failed.
Brand answers exist on Perplexity (cites app stores, Wikipedia, DAZN press release) but not on competitive comparisons. Hallucinations risk on Claude.
Content scoring vs live UK sportsbook competitors
10 DAZN Bet pages scored 1-10 against the top organic competitors RankBee identified in real time. Of the 10 pages, 9 sit at the floor (1.0/10) — only the homepage rose above it (1.55/10).
Content quality leaderboard
iHow AI engines rank UK sportsbooks for buyer prompts
10 high-intent UK buyer prompts run live against Google UK SERPs (10 of 10 returned data) and against the LLM web-search layer for the brand domain probe. DAZN Bet did NOT appear in the Google top 10 for any of the 10 prompts. Cell coverage below estimates per-engine citation...
AI Coverage Leaderboard
iCrawlability — robots, virtual user, LLM access, bot impersonation, indexability
RankBee ran a five-phase audit against daznbet.com: robots.txt directives, a virtual-user probe from a US IP, four LLM provider web-search probes, 15 bot impersonations, and content-depth indexability across the five most strategic pages.
How AI engines talk about DAZN Bet across buyer clusters
Cluster narratives synthesised from Google UK SERP data, RankBee LLM web-search probes on the brand domain, and Section 01 RankBee competitor leaderboards. Per-engine cell counts are calibrated rather than literal; a true 5-engine self-retrieval is the recommended next step.
Sentiment leaderboard
Frequently asked
What is a GAIO Deficit Report?
GAIO stands for Generative AI Optimization — getting your brand cited inside AI answers, not just ranked on a results page. The Deficit Report is RankBee's diagnostic: across leading AI engines (ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews) and a tailored prompt set, it shows which answers your brand is missing from, which competitors take the citation in your place, and the technical and content reasons why.
Who is this for?
Anyone whose audience now turns to ChatGPT, Gemini, Perplexity or Claude before making a decision. RankBee Audits are used by SaaS and B2B teams, e-commerce brands, agencies running client pitches, news and media publishers, political campaigns, and many others. If AI engines are part of how people discover, evaluate or talk about you, the audit is built for you.
How is this different from a traditional SEO audit?
A traditional audit grades you on Google's signals — backlinks, keywords, Core Web Vitals. RankBee grades you on what large language models actually reason about: entities, attributes, answer-first structure, citation-worthiness, and crawlability through the bot stack AI assistants use today (GPTBot, ClaudeBot, PerplexityBot, Google-Extended and 20 more). Strong Google rankings don't automatically translate into AI citations, and that gap is what the audit measures.
How does the audit work?
Four sections, each grounded in real data. Crawlability runs five technical phases: robots.txt rules, virtual-user probes from your target geographies, live LLM web-search fetches, bot-impersonation against your CDN, and token-depth indexability. Rankings Matrix runs your buyer prompts against up to 5 AI engines and logs every citation, co-citation, and competitor mention. Content Scorecard simulates AI ranking at the page level — RankBee ingests competitor content, generates variations, and scores yours 1–10 on the attributes models actually reward. Sentiment Snapshot reads how engines describe you when they do mention you, clustered by audience intent.
Where do the prompts come from?
RankBee discovers them for you. From just your brand name, domain, region and category, the platform generates and crawls thousands of AI prompts relevant to how real audiences ask about your space — then narrows them to the high-intent set that drives your visibility. You don't need to bring a keyword list, a competitor list, or hand-written prompts; the audit builds all of that automatically.
What does "invisible to AI" actually mean?
There are several distinct failure modes, and the audit isolates which ones are affecting you.
- Uncrawlable. Your CDN blocks AI bots, or your rendered HTML buries the answer below their token budget, so models can't read your pages at all.
- Crawlable but uncited. Bots can read you, but your content doesn't signal the attributes the model needs to recommend you, so it cites a directory, a competitor or Wikipedia instead.
- Cited but mis-framed. You're mentioned, but the model attributes your facts to a subsidiary domain, or describes you in ways that don't reflect your positioning.
- Locked out of live retrieval. When a user asks ChatGPT, Perplexity or Gemini a question right now, can the model fetch your page in real time to answer? The crawlability audit tests this end-to-end — many sites pass robots.txt but fail at the CDN or render layer, so live retrieval silently fails.
- Excluded from training data. Can AI models use your content to train and refine their underlying knowledge? Your robots.txt and bot policies decide whether crawlers like GPTBot, ClaudeBot, Google-Extended and CCBot are allowed to ingest you. The audit shows exactly which training and search bots are allowed, blocked, or partially restricted, so you can make a deliberate choice rather than an accidental one.
How long does it take, and what do I need to provide?
Onboarding takes a few minutes; the full audit is delivered within roughly 48 hours. All you provide is your brand name, website, primary region, language, and category — RankBee handles prompt discovery, competitor identification, crawlability testing and content scoring from there. Rankings and sentiment data continue to refresh inside your dashboard so you can track how the citation pattern evolves.
What happens after the report — does it fix the issues?
The audit diagnoses; remediation happens in the rest of the platform. Most teams use the RankBee Toolkit to rewrite and re-test pages themselves, or RankBee Consulting for a fully managed engagement. The report includes prioritised recommendations so you know exactly which pages and attributes to tackle first.
Can I share the report with my team and stakeholders?
Yes — audit reports are sharable by link so it's easy to align marketing, content, technical SEO and leadership around the same data, and to brief agencies or executives without recreating the analysis. Account owners can switch a report to team-private at any time from RankBee.
How do I get a full audit?
DAZN Bet: invisible to AI by design — fix the prerender, the sitemap and the comparative content layer
The single highest-leverage fix is removing the UA-gated Prerender.io middleware and serving SSR HTML to every UA — that alone unblocks ChatGPT and Claude's web-search fetchers and likely converts both from BLOCKED/HALLUCINATED to ACCESSIBLE. Pair that with: (1) expanding the sitemap from 2 URLs to the full sport + casino category tree, (2) adding TL;DR + comparison-table + bookmaker-rationale content blocks to the homepage and 9 currently-floor-scoring pages (RankBee's per-page rewrite plans are concrete starting points), and (3) building the boxing comparison hub DAZN's parent rights catalogue uniquely entitles it to win. Re-run with BRIGHTDATA_API_KEY + ANTHROPIC_API_KEY for the literal 50-cell rankings + sentiment matrix.