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.
RankBee scores RideNow's homepage, About, Inventory and Financing pages plus five geo-located vertical pages (New ATV, Used motorcycles in TX/AZ/FL, Jet Skis) against the live SERP for the queries buyers actually type. Identity wins. Transactional, financing and — most striking — local geo queries reveal that RideNow's own dealer subdomains are competing with the parent.
ChatGPT, Gemini, Perplexity, Google AI Overviews and Claude run live against the 9 prompts a US powersports buyer would actually ask. RideNow is the most-cited brand by a wide margin (34 of 45 cells) — but the win is asymmetric. Engines route the user to OEM brand pages (Polaris, Can-Am, Yamaha) for service and to Roadrunner / LendingTree / Octane for financing.
robots.txt is permissive for every major AI agent. All four web-search-capable LLMs successfully fetched the homepage. Phase-4 retest on www.ridenow.com: every bot returns 200, including the seven flagged as 'blocked' in the original audit (those were 301 redirects from apex). Real risk is 12-19s origin response time at Dealer Spike — past most LLM crawler timeouts.
Live run: RideNow is recommended on 6 of 9 prompts and mentioned neutrally on the other 3 (0 absent). The financing cluster is the structural weakness — engines route to Roadrunner, LendingTree and Octane before mentioning RideNow. Reddit threads surface on reputation-shaped prompts but engines reproduce them as context, not as a verdict.
Content scorecard — 9 pages vs. live competitor URLs
Each row is a RankBee `score_content` run executed on 2026-05-14. Scores are raw 1-10 (RankBee scale, lower = more headroom). The five added vertical rows (New ATV, Used motorcycles in Texas/Arizona/Florida, Jet Skis) use geo-located buyer prompts referencing real RideNow...
Content quality leaderboard
iRanking matrix — 9 buyer prompts x 5 AI engines
Live 45-cell self-retrieval. Each cell counts the number of brand-mention events (text aliases plus citation-domain matches) in one engine's answer to one prompt. RideNow is cited in 34 of 45 cells; the next-densest brand is Yamaha at 20 cells.
AI Coverage Leaderboard
iCrawlability — robots, browsers, bots and LLM web-search
Live RankBee audit + Phase-4 retest 2026-05-14. robots.txt is permissive for every major AI bot. After retesting on www.ridenow.com directly, every bot returns 200 — the original 'blocked' labels were apex→www 301 redirects the probe didn't follow. The real risk is 12-19s origin...
Sentiment — 4 clusters, live citation signal
Cluster sentiment is parsed directly from the 45-cell self-retrieval payload. For each prompt and brand: positive if ANY engine recommended the brand in context; neutral if mentioned without a recommend phrase; absent if no engine surfaced the brand. RideNow is recommended on 6...
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?
Fix the subdomain cannibalisation.
Three levers remain. (1) Subdomain cannibalisation is the new headline finding — RideNow's corporate /atvs page is rank 12 of 15 while ridenowphoenix.com is rank 1 on the same query; RideNow Chandler outranks RideNow Mesa on Mesa's own geo query; RideNow Ocala outranks RideNow Gainesville on Gainesville's query. The dealer network is taking citation share from the parent and from each other. Either consolidate the corporate verticals into geo-faceted landings or invest in a cross-linking architecture that makes the subdomain wins compound the brand. (2) Financing: AI engines still route to Roadrunner Financial, LendingTree and Octane on open financing prompts. Rebuild the financing page as a buyer guide with APR ranges, FICO thresholds and soft-vs-hard-pull explanation. (3) Jet Skis is the closest near-win in the audit — RideNow's PWC page is rank 2 of 16, six basis-points behind pwctrader.com. Adding a state-by-state Yamaha/Sea-Doo dealer index would flip the order.