Why ChatGPT needs its own tracker
StatCounter's May 2026 AI chatbot data puts ChatGPT at 79.08% worldwide share. That makes it the place where category prompts, comparison prompts, and recommendation prompts can become first-touch discovery.
Track your brand inside ChatGPT and 12 other AI search engines.
RankBits tracks ChatGPT visibility alongside 12 other AI/search engines.
ChatGPT is still the default AI answer surface for many buyers. RankBits shows whether those answers name you, cite you, and place you beside the brands your market already trusts.
Open a full saved report using the public CodingFleet walkthrough.
Coverage
13 tracked engines
Assistants, AI search layers, and source engines in one benchmark.
Benchmarking
Prompt-stable scans
The same prompts and engines repeat so change over time is real.
Output
Answer-level evidence
Mentions, citations, competitors, and source URLs tied to each prompt.
ChatGPT visibility snapshot
Mentions, citations, and source movement
ChatGPT AI chatbot share
79.08%
StatCounter AI chatbot share, May 2026
Perplexity share
7.67%
StatCounter AI chatbot share, May 2026
Gemini share
7.03%
StatCounter AI chatbot share, May 2026
Mention and citation rate
8 prompts
Prompt-level winners
7 prompts
Source attribution
6 prompts
Tracked trend lines
5 prompts
What teams inspect
Which prompts create shortlist moments
RankBits keeps buyer prompts visible so you can see where this engine introduces, compares, or ignores your brand.
What changes over time
Citation trust and recommendation share
Tracked runs show whether new content, documentation, reviews, and third-party coverage actually shift the answer.
Why this engine belongs in the visibility stack.
AI discovery is fragmenting across assistants, AI search layers, and classic source systems. RankBits keeps each provider separate so you can see the actual answer behavior instead of averaging away the useful signal.
What RankBits measures
RankBits scores the generated answer, not just the source list: brand mentions, citations, citation rank, competitor share of voice, prompt-level wins, and movement across repeated scans.
How teams use it
Use RankBits to find prompts where ChatGPT lists competitors, inspect the sources behind citations, and track the same prompt set after content, documentation, PR, or review work ships.
A rank tracker for generated answers, not blue links.
RankBits scores the answer users actually see: mention coverage, citation coverage, rank inside cited sources, and competitor share of voice across the same prompt set.
Mention and citation rate
Measured
Prompt-level winners
Measured
Source attribution
Measured
Tracked trend lines
Measured
RankBits workflow
01
Generate the prompts your buyers actually ask ChatGPT.
02
Run those prompts against ChatGPT and every selected comparison engine.
03
Inspect answer text, citations, and source URLs that shaped the recommendation.
04
Track the same prompt set over time so content work shows up as movement.
Prompts that behave like real demand.
Short category prompts are where AI engines decide who belongs in the market. RankBits keeps those prompts editable, measurable, and stable over time.
Why this matters
A homepage can look strong and still vanish in AI answers. These prompt sets expose the exact moments where an engine trusts your brand enough to recommend it, cite it, or compare it favorably.
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Live example
See how a finished RankBits scan reads before you run your own.
The CodingFleet demo shows a complete answer-level report with prompt breakdowns, provider comparisons, source attribution, and tracked scan history.
FAQs
What does RankBits track inside ChatGPT?
RankBits runs realistic buyer and research prompts through ChatGPT, then measures whether your brand is mentioned, cited, and ranked in the cited sources.
What are AI search sources?
RankBits also queries source-oriented systems such as Tavily, Exa, Google Search, and Bing Search to understand the evidence layer behind AI answers.
Can I compare ChatGPT visibility against competitors?
Yes. RankBits builds a competitive landscape from discovered and cited domains so you can see who ChatGPT names, links, and consistently trusts.
Why include search sources with assistant engines?
AI assistants often depend on web evidence. Tracking source visibility helps explain why a brand is or is not trusted in generated answers.
Does RankBits track the same prompts over time?
Tracked scans keep the same prompts and selected engines, which makes trend lines meaningful instead of mixing different query sets.
Can RankBits discover competitors automatically?
Yes. RankBits adds competitors from actually cited domains, then filters out zero-visibility noise.
Why do citations matter in ChatGPT answers?
Mentions show awareness, but citations show evidence. A cited brand is easier for users to verify and easier for teams to improve with content and source work.
What should I do with source attribution?
Use it to find owned pages worth strengthening, competitor pages worth studying, and third-party sources that influence AI answers.