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.
5 strategic B2i pages scored 1-10 against the live competitor leaderboard for each query. Strongest finishes on pricing (rank 2/11) and hosted IR websites (rank 2/11); weakest on the SEO/LLM optimisation page (rank 11/11) and the DataAnywhere widget page (rank 5/11).
10 buyer prompts × 5 engines = 50 cells. B2i appears in 9 cells (18%) with 72 mentions — the highest mentions-per-cell ratio of any vendor. Concentrated in the head-to-head comparison (P2) and the widget/plugin prompt (P9); totally absent from 7 of 10 prompts.
Every major AI bot is explicitly Allowed in robots.txt, yet the edge times out 8 of 15 tested bots (GPTBot, ClaudeBot, Claude-SearchBot, Bing Copilot, Grok, ChatGPT-User, ChatGPT-Agent, Googlebot-Smartphone). Query-time LLM fetches still succeed for OpenAI, Anthropic, Gemini and Perplexity.
When buyers ask the head-to-head (P2) or the open 'best provider' (P1), B2i is recommended. When they ask about widgets (P9), Claude and AI Overviews recommend B2i. On the other 7 prompts — small-cap vendors, switching risk, SEC disclosure, uptime, Reg FD, WCAG, migration — B2i is absent from every cell.
Content scorecard
Each of B2i's 5 strategic pages scored 1-10 by RankBee against the live competitor leaderboard returned for the page's target queries. Scores compare directly to the URLs AI engines are actually retrieving when buyers ask these questions today.
Content quality leaderboard
iAI engine rankings matrix
10 buyer prompts run live across 5 AI engines (ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews) = 50 cells. Each dot = a brand mention in that engine's response. Values are real mention counts parsed from the engines' actual answers and citation lists.
AI Coverage Leaderboard
iCrawlability & bot access
Whether AI bots can actually reach b2itech.com — measured across robots.txt declarations, virtual-user probes from US, real bot impersonation across 15 user agents, query-time LLM websearch and content depth on the 5 scored pages.
Sentiment across the 4 buyer conversations
Each cluster groups the prompts that share a buyer mindset. Sentiment is parsed from the real 50-cell engine responses — positive = explicitly recommended by at least one engine, neutral = mentioned without recommendation language nearby, absent = the brand never appears.
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?
See exactly how AI engines describe your brand — and where the citation share is leaking.
This audit combined a 25-bot crawl, 5 head-to-head content scoring jobs and a 50-cell AI-engine modelling run to map B2i Technologies' real AI visibility against Q4, Notified, Equisolve and the rest of the IR-website field. Want one for your own brand? RankBee can run the same audit in under 10 minutes.