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.
Five live RankBee scoring runs — homepage, new slots hub, casino bonuses, Pragmatic Play provider page, and free demo slots — benchmarked against every other page AI engines are surfacing for the same buyer queries.
Ten buyer prompts across slot discovery, provider releases, bonus comparison and free-play — run live against ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. SlotsCalendar is cited in 1 cell. SlotCatalog (12), Casinos.com (7), BigWinBoard (7) and Casino.org (7) lead.
robots.txt allows every named AI crawler. But the CDN / WAF times out ClaudeBot, PerplexityBot and ChatGPT-Agent — and HTTP 403s our direct ground-truth fetch. The policy is permissive; the edge is not.
Across four buyer-conversation clusters, SlotsCalendar is cited in 1 of 50 cells — a positive Perplexity mention on the slot-calendar query ("a widely used hub for tracking future titles"). Provider releases, bonus comparison and free-play discovery all return zero citations despite the /free-slots page scoring rank 2 in offline content scoring.
Content Scorecard
Five pages scored live against every URL the AI engines surface for the same buyer queries. Raw RankBee score out of 10. The pattern is striking — SlotsCalendar's brand-defining 'free slots' page is genuinely competitive, but its money pages (bonuses, provider releases, new-slot...
Content quality leaderboard
iAI Ranking Matrix
Ten buyer prompts spanning slot discovery, provider releases, bonus comparison and free demo play — answered live by ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews on 2026-05-20. The result is sobering: across 50 measured cells, slotscalendar.com is cited in exactly...
AI Coverage Leaderboard
iCrawlability & Indexing
The robots policy welcomes every AI bot by name. But the WAF / CDN times out half the assistant-side fetchers — and returns HTTP 403 to a direct ground-truth fetch. The contradiction matters: Gemini and Perplexity reach the page and cite it; Anthropic and ChatGPT-Agent cannot,...
Sentiment & Recommendation
Sentiment is constrained by visibility — SlotsCalendar appears in only 1 of 50 measured cells (Perplexity, slot-calendar query, positively framed: ‘widely used hub for tracking future titles’). The other 49 cells route to SlotCatalog (12 cells across all four clusters),...
Sentiment leaderboard
Frequently asked
What is a GAIO Audit 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 site can hold position 1 on Google and be completely absent from ChatGPT, Gemini and Perplexity answers for the same query — because the two systems use entirely different signals to decide what to surface. 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. The Rankings Matrix also shows every buyer question your brand is missing from — and which competitor takes the citation in your place, across each of the five AI engines tested.
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. This is the most common silent failure: robots.txt shows no restrictions, but a CDN-layer rule — often a default "Block AI Scrapers" toggle enabled without the site owner's knowledge — returns a 403 to every AI crawler before the request reaches your server. The audit runs bot-impersonation probes that replicate the exact request signature of GPTBot, ClaudeBot, and PerplexityBot against your live CDN to catch this.
- Crawlable but uncited. Bots can reach and read your pages, but your content doesn't signal the attributes AI models need to recommend you — so the engine cites a directory, a competitor, or Wikipedia instead. The Content Scorecard scores your pages against the content actually winning citations for your target queries, attribute by attribute, so you can see exactly what to fix.
- Cited but mis-framed. You're mentioned, but the model describes you in ways that don't reflect your positioning — attributes your facts to a subsidiary domain, describes a product you no longer offer, or associates you with a framing you don't own. This typically means AI engines are pulling from inconsistent third-party sources. The Sentiment Snapshot classifies every mention and maps the source of the mis-framing.
- Locked out of live retrieval. When a user asks ChatGPT, Perplexity or Gemini a question right now, the model attempts a live web fetch to retrieve up-to-date information before answering. Many sites pass robots.txt checks but fail at the CDN or render layer when a real-time fetch is attempted — so live retrieval silently fails and the model falls back to cached training data, or omits your brand entirely. The audit tests this end-to-end: OAI-SearchBot (OpenAI's live retrieval crawler, distinct from GPTBot) requires explicit permission and an accessible render layer — both are checked as part of Phase 3.
- Excluded from training data. Your robots.txt and bot policies determine whether AI training crawlers — GPTBot, ClaudeBot, Google-Extended, CCBot — are allowed to ingest your content for model training and refinement. 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. For reference: Cloudflare's managed robots.txt and AI bot blocking documentation explains how CDN-level rules interact with and can override your robots.txt directives.
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?
1 of 50 cells. The catalogue is right. The distribution is gone.
robots.txt welcomes every AI bot — that's the right call. But across 50 measured cells (10 buyer prompts × ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews), slotscalendar.com is cited exactly once — a positive Perplexity mention on the upcoming-slots-calendar query. The /free-slots page, scored at rank 2 of 12 in offline RankBee scoring (3.36/10), got zero citations. The /casino-bonuses page got zero. The Pragmatic Play provider page got zero. The category leader SlotCatalog took 12 cells; BigWinBoard, Casinos.com and Casino.org each took 7; Oddschecker, OLBG and The Sun together took the bonus cluster; Yogonet took provider releases. None of these gaps need a new product — they need the WAF rules to let the bots in that the robots file already allows, plus dated, citation-dense editorial that AI engines are willing to cite by URL. RankBee runs the full diagnostic monthly and pinpoints which page-level fixes move which AI engine. Worth a 20-minute conversation with Denisa.