Public sample

AI Visibility and Tech Audit for
Sportradar

How sportsbook operators, leagues, and federations find you — and don't — across ChatGPT, Gemini, Perplexity, and Claude. This report combines a live technical crawl audit, sentiment analysis across buyer conversations, and AI visibility data across 4 engines and 8 scored pages.

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SR
Sportradar
sportradar.com
GeneratedApril 26, 2026
Audit windowLast 14 days
Report IDRB-2026-04-SR-0319
What's in this report

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.

01Content Scorecard

Content quality: How well does your content perform vs the competition?

We run a simulation: RankBee crawls each of your pages and scores it 1–10 against your competitors. We don't just guess if what you've written could score high. We simulate it and we KNOW, which content is best placed to rank higher, as well as what changes you need to make to...

Page-by-page scoring
As % · 6 pages graded
15% your avg30% leader avg
Page
Your score
Leader
Δ
Homepage
/
10%
31%
lsports.eu/blog/sports-betting-data-providers
21%
Managed Trading Services
/betting-gaming/trading-risk-management/managed-trading-services/
14%
30%
pixelbrainy.com/blog/top-ai-sports-betting-software-development-companies-in-usa
15%
Integrity Services
/integrity-regulatory/integrity/bet-monitoring-detection/
25%
19%
Sportradar (you lead — rank #1 of 16)
6%
About / Compliance
/about/
10%
22%
datarade.ai/data-categories/odds-betting-data
12%
Customers / Partners
/our-clients/
18%
25%
nullexposure.com/customers/srad
7%
Newsroom / Content Hub
/news-insights/
15%
26%
sportsbettingoperator.com
11%

Content quality leaderboard

i
Weighted average across audited pages
Brand
GAIO Score
Avg Rank
1.
PB
pixelbrainy.com
30%
1.00
2.
sportsbettingoperator.com
26%
1.00
3.
NE
nullexposure.com
25%
1.00
4.
lsports.eu
21%
4.50
5.
datarade.ai (directory)
16%
4.00
6.
Sportradar
15%
5.30
7.
gammastack.com
15%
5.50
8.
geniussports.com
15%
4.00
9.
sportsdata.io
13%
5.00
10.
bettoblock.com
13%
5.50
02AI Rankings Matrix

Visibility coverage: where you appear vs. competitors

Real buyer prompts, run against 4 AI engines — ChatGPT, Gemini, Perplexity, and Claude. Mentions counted only when each brand is named in the answer or footnoted as a source.

ChatGPT
GPT-5.4
60%you
vs 80% Genius Sports · -20 pp gap
Gemini
3.1 Pro
50%you
vs 90% Genius Sports · -40 pp gap
Perplexity
Sonar Large
60%you
vs 90% Genius Sports · -30 pp gap
Claude
Sonnet 4.6
50%you
vs 80% Genius Sports · -30 pp gap
AI coverage matrix
All 10 prompts shown
YouGenius Sports (leader)Stats PerformLSportsSportsDataIO
#
Prompt
ChatGPT
Gemini
Perplexity
Claude
1
Vendor evaluation
Best sports data and odds provider for sportsbooks 2026
2
Vendor evaluation
Sportradar vs Genius Sports vs Stats Perform comparison
3
Vendor evaluation
Top live sports data feed APIs for betting operators
4
Vendor evaluation
Best official sports data partners for leagues and federations
5
Integrity & risk
Best match-fixing detection and integrity services for sports betting
6
Integrity & risk
AI-powered bet monitoring vendors for federations
7
Integrity & risk
Sportsbook fraud detection and risk management platforms
8
Enterprise & compliance
SOC 2 compliant sports data vendors with EU data residency
9
Enterprise & compliance
GDPR compliant betting data providers for European operators
10
Integrations
Sports data APIs that integrate with FanDuel, DraftKings, and bet365

AI Coverage Leaderboard

i
Across all 10 prompt × 4 model cells
Brand
GAIO Score
Avg Rank
1.
Genius Sports
73%
1.62
2.
Stats Perform
58%
2.31
3.
Sportradar
53%
2.74
4.
LSports
33%
3.85
5.
SportsDataIO
20%
4.42
6.
Op
Opta (Stats Perform sub-brand)
15%
4.92
03AI Crawlability Audit

Identify risk areas for your AI SEO Crawl strategy

Before your content can be cited, it has to be crawled and read. We tested five layers: 1) What your robots.txt declares, 2) what real users experience, 3) what AI search agents retrieve through WebSearch, 4) what bots get past your CDN, and 5) If your text content can be...

PHASE 1

Robots.txt analysis

Permissive — all bots allowed

What your robots.txt declares to each AI crawler, and which bots are allowed, blocked, or partially restricted.

RiskLowCrawlers24Allowed24Blocked0Partial0
robots.txt200· 5 linesFetched 26 Apr 07:51 UTC
🚨Key risks flagged
🛠
🔍
allowed!partialblocked
Bot
Provider
Role
Status
Rule applied
GPTBot
OpenAI
Training crawler
Allow
Inherits *, no AI-bot block
ChatGPT-User
OpenAI
User-triggered fetch
Allow
Inherits *
OAI-SearchBot
OpenAI
Search indexing
Allow
Inherits *
ClaudeBot
Anthropic
Training crawler
Allow
Inherits *
Claude-User
Anthropic
User-triggered fetch
Allow
Inherits *
Claude-SearchBot
Anthropic
Search indexing
Allow
Inherits *
anthropic-ai
Anthropic (legacy)
Allow
Inherits *
Google-Extended
Google
Training opt-out flag
Allow
Inherits *
GoogleOther
Google
General fetcher
Allow
Inherits *
PerplexityBot
Perplexity
Search indexing
Allow
Inherits *
Perplexity-User
Perplexity
User-triggered fetch
Allow
Inherits *
CCBot
Common Crawl
Training crawler
Allow
Inherits *
Bytespider
ByteDance
Training crawler
Allow
Inherits *
Meta-ExternalAgent
Meta
Search indexing
Allow
Inherits *
Meta-ExternalFetcher
Meta
Search indexing
Allow
Inherits *
Applebot-Extended
Apple
Search indexing
Allow
Inherits *
Amazonbot
Amazon
Search indexing
Allow
Inherits *
DuckAssistBot
DuckDuckGo
Search indexing
Allow
Inherits *
Diffbot
Diffbot
Search indexing
Allow
Inherits *
Omgilibot
Webz.io
Search indexing
Allow
Inherits *
FriendlyCrawler
FriendlyCrawler
Search indexing
Allow
Inherits *
ImagesiftBot
Imagesift
Search indexing
Allow
Inherits *
Cohere-ai
Cohere
Training crawler
Allow
Inherits *
Timpibot
Timpi
Search indexing
Allow
Inherits *
PHASE 2

Virtual user crawl test

1 probe returned non-200

Headless visit from a 🇺🇸 US IP confirm the site is reachable for real readers — and therefore reachable for AI crawlers that proxy through the same regions. This is a sanity check, not a deep audit.

🇺🇸USpartial
⚠️ Reachable from US, but first probe returned 408
408 HTTPblocked: falseerror: Request timeout on first probe (succeeded on retry)
What this test returns6 fields per country
{
  "countryCode": "US",
  "status":      "success",
  "blocked":     false,
  "statusCode":  200,
  "error":       "",
  "summary":     "✅ Accessible from US IP"
}
The 6 fields
countryCodeISO 3166-1 alpha-2 country the test ran from
statusHigh-level outcome: success / failed / error
blockedWhether the site rejected the visitor (geo or anti-bot)
statusCodeHTTP status from the origin (e.g. 200, 403, 408)
errorError message if the fetch failed (otherwise empty)
summaryHuman-readable verdict
No HTML body, response time, headers, page title, or redirect chain — just the verdict.
PHASE 3

LLM web-search access

3 reachable · 1 not reachable

For each AI model, we asked the model's own web-search tool to fetch the site. We log whether it succeeded and which other domains the model surfaced alongside yours — those co-cited sources are the competition for attention in answers about your category.

Provider
Model
Status
Co-cited sources
Notes
OpenAI
gpt-5.4
Reachable
none — fetched directly
Used web-search and fetched the homepage successfully. Described Sportradar's product offering correctly, but the response contained zero citations to sportradar.com — the model answered from its own knowledge rather than surfacing the domain as a source. Reachable, but not cited.
Anthropic
claude-sonnet-4-6
Not reachable
none — fetched directly
Web-search is blocked — confirmed via direct testing. Claude described UEFA/NBA/DraftKings partner logos accurately but this comes from training data, not a live fetch. sportradar.com was not cited and the page was not read. Not reachable.
Google
gemini-3.1-flash-lite-preview
Reachable
none — fetched directly
Fetched homepage successfully. Cited https://sportradar.com/ as the primary source.
Perplexity
sonar
Reachable
wikipedia.orgsportsdata.agbetradar.com
Reached the page and cited it, but co-cited Wikipedia and your subsidiary domains (Sportsdata.ag, Betradar.com) as if they were independent sources. Risk: Perplexity may attribute Sportradar facts to Betradar.
PHASE 4

Bot impersonation test

3 slow

We sent requests using each bot's exact User-Agent string. This catches edge-case blocks at the WAF / Cloudflare / CDN layer that robots.txt doesn't reveal — and surfaces response-time outliers that quietly push crawlers past their abandon threshold.

Bot
Status
HTTP
Response time
oai-searchbot
accessible
200
3,200ms
chatgpt-user
accessible
200
1,500ms
gptbot
accessible
200
2,900ms
chatgpt-agent
accessible
200
15,800ms⚠️
perplexitybot
accessible
200
2,400ms
perplexity-user
accessible
200
2,400ms
googlebot
accessible
200
2,100ms
googlebot-smartphone
accessible
200
15,100ms⚠️
bingbot
accessible
200
21,100ms⚠️
bing-copilot
accessible
200
1,400ms
claudebot
accessible
200
1,400ms
claude-user
accessible
200
1,500ms
claude-searchbot
accessible
200
1,100ms
grok
accessible
200
1,600ms
deepseek
accessible
200
1,400ms
Two patterns to fix: (1) bingbot times out where every other bot succeeds — likely a CDN rule treating the legacy Bing user-agent as suspicious, while the modern bing-copilot sails through. (2) Slow bots (10s+) respond, but their response times are 5–10× the typical ~2s baseline. Most LLM crawlers abandon at 3–5s, so those bots are likely truncating or skipping your pages even when the HTTP says 200.
PHASE 5

Indexability · token depth

Majority of pages healthy

Pages over 10K tokens start to risk truncation; over 50K is a strong concern. Bloated rendered HTML — chrome, scripts, third-party widgets — pushes your real content past every model's effective context window.

Page
10K50K100K
Tokens
Status
Homepage
/
2.3K
Healthy
Managed Trading Services
/betting-gaming/trading-risk-management/managed-trading-services/
11.4K
At risk
Integrity Services
/integrity-regulatory/integrity/bet-monitoring-detection/
8.2K
Healthy
About
/about/
18.9K
At risk
Why these pages are heavy2 explanations
Managed Trading Services · /betting-gaming/trading-risk-management/managed-trading-services/
In the risk zone (>10K). The substantive copy starts after a hero animation and a five-step navigation panel. AI crawlers will reach the H1 and the bullet list, but the proof points and the OneFeed differentiator sit below the token budget.
About · /about/
In the risk zone. The leadership grid, ESG block, and investor-relations carousel push compliance language (SOC 2, ISO 27001, GDPR posture) below the token budget. Ranks 11/16 in compliance scoring as a result.
04Sentiment Snapshot

Brand perception: how AI models describe you to buyers

Buyer prompts grouped by intent cluster. We score sentiment from how each model frames you (or doesn't) in its answer — qualitative read on top of the visibility matrix. This surfaces which narratives AI models are building about your brand before a buyer ever visits your site.

Enterprise & compliance
2 prompts · 8 model responses analysed
Negative

Hostile cluster post-April 22. Models now reference the Muddy Waters and Calisto Research short reports alleging 20–40% of revenue from unlicensed jurisdictions, the 1xBet/Fonbet/Liga Stavok exposures, and the three US gambling-regulator reviews. Your /about/ page (RankBee score 1/10, rank 11/16) cannot answer these allegations because the compliance copy is buried below the token budget.

Integrations
1 prompts · 4 model responses analysed
Absent

Cited in 0 of 4 responses for the FanDuel/DraftKings/bet365 integration prompt. The developer portal is a JavaScript SPA — your API documentation, authentication methods, and SDK list are invisible to LLMs. Genius Sports and SportsDataIO publish API endpoints in plain HTML and win the citation by default.

Vendor evaluation
4 prompts · 16 model responses analysed
Neutral

Sportradar appears in 14 of 16 model responses for vendor-evaluation prompts — strong presence. Models describe you as "the global scale leader" alongside Genius Sports and Stats Perform. Tone is factual rather than recommending: assistants list you, but Genius Sports gets the "if you're starting now" recommendation language because their pages are easier to read.

Integrity & risk
3 prompts · 12 model responses analysed
Positive

Your strongest cluster. Cited in 11 of 12 responses for match-fixing detection, federation bet monitoring, and fraud detection. UFDS AI, the 1,116 suspicious matches stat, and the FIFA renewal through 2031 are all quoted by name. This is a defensible moat — protect it.

Sentiment leaderboard

Share of voice across 10 prompts × 4 models
PosNeuAbs
1.
Genius Sports
7 · 2 · 1
2.
Stats Perform
5 · 4 · 1
3.
Sportradaryou
3 · 4 · 1
4.
LSports
2 · 4 · 4
5.
SportsDataIO
1 · 3 · 6
6.
Opta (Stats Perform sub-brand)
1 · 2 · 7

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?
Full audits are available to RankBee subscribers. The sample reports on this page show the structure and depth you'll receive; a full audit expands the prompt set for a statistically robust read across multiple intent clusters and refreshes alongside your ongoing tracking. If you're not yet a subscriber, start a free trial or book a demo and we'll walk you through the right plan for your brand.
Want this for your brand?

A live crawl audit, sentiment analysis, and AI visibility report — built for your domain.

This sample report runs a focused prompt set to show you the shape of the problem. A full paid report expands to 500 prompts across multiple topic clusters, giving you a statistically robust view of where your brand wins, where it's missing, and exactly what to fix.

Prepared by RankBee·rankbee.ai·RB-2026-04-SR-0319