RankBits
Summary
You've optimized for Google for years, but your customers are now asking ChatGPT which tool to buy — and you have no idea whether your brand shows up in the answer. RankBits is built to close that gap, scanning across 14 AI engines and source layers to show you exactly where you appear, where competitors outrank you, and which of your pages actually get cited.
The tool runs prompt-based scans across assistants like ChatGPT, Claude, Gemini, and Perplexity, plus the source engines — Tavily and Exa — that agent workflows query behind the scenes. For each prompt, it returns a visibility score, mention and citation counts, cited URLs, and a competitive ranking against domains you specify. The prompt-by-prompt breakdown is where the real diagnostic value sits: you see which answers mention you versus which ones cite a specific page, and the gap between those two tells you whether your content or your authority is the problem. Continuous tracking and drop alerts are paid-only features, so free-tier users get snapshots, not trends.
Bottom line: Pick this when your marketing team needs to answer 'are we showing up in AI answers?' with a defensible number — but plan for a supplementary content strategy layer, because RankBits diagnoses the visibility gap without telling you how to close it.
Pricing Plans
Subscription- Free Tier
- 1 brand, weekly tracking, 5 prompts, 5 basic engines, 100 responses/month.
Free
1 brand, weekly tracking, 5 prompts, 5 basic engines, 100 responses/month.
- 1 brand
- Weekly tracking
- 5 prompts per scan
- 5 engines
- 100 responses/month
Starter
3 brands, 20 prompts, 10 engines, 2400 responses/month, exports.
- 3 brands
- 20 prompts per scan
- 10 engines
- 2400 responses/month
- Exports
Pro
Unlimited brands, 50 prompts, 14 engines, 5000 responses/month, daily tracking, AI recommendations.
- Unlimited brands
- 50 prompts per scan
- 14 engines
- 5000 responses/month
- Daily tracking
- AI recommendations
View full pricing on rankbits.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Covers both default and paid-tier model variants for ChatGPT, Gemini, and Claude, so you catch the cases where premium reasoning changes who gets recommended to high-intent buyers — without running separate manual checks.
- Includes Tavily and Exa source-engine monitoring, which means you can see whether your domain surfaces in the index that AI agents query, not just in the consumer-facing assistants most monitoring tools stop at.
- Prompt-by-prompt breakdown distinguishes mentions from citations per engine, so you can tell whether the model knows your brand exists versus whether it's actually linking to a page — two different problems with two different fixes.
- Competitor tracking generates a share-of-voice ranking across all scanned answers, so instead of asking 'are we mentioned?' you can ask 'are we mentioned more than the three brands buyers compare us against?'
- CSV and Excel exports on most data views, which means the output feeds directly into existing reporting workflows without requiring a dedicated dashboard login for every stakeholder who needs the numbers.
Cons
Sign in to edit- Trend tracking and drop alerts require a paid tier — free scans are one-off snapshots with no historical baseline, so a brand manager running on a free account cannot tell whether a score of 42 is up from 30 or down from 60 without manually logging every scan.
- The recommendations panel outputs a prioritized action list, but the vendor page describes no mechanism for connecting those recommendations to content publishing, link building, or PR workflows — teams that need an execution loop, not just a diagnosis, end up managing two disconnected systems and a team switches to a competitor when they need a platform that connects the visibility signal to the content or outreach action.
- There is no self-hosted option and no API described on the vendor page, which means teams operating under data residency requirements or those who want to pipe visibility data into a custom internal dashboard hit a hard architectural wall with no documented workaround.
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About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-02T18:23:01.147Z
Best For
Who it's for
- Brand managers tracking AI presence
- Marketing teams monitoring visibility
- SEO professionals focused on AI search
What it does well
- Monitor brand visibility in AI-generated content
- Track mentions across multiple AI engines
- Analyze trends in AI search responses
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Frequently Asked Questions
- Is RankBits free?
- RankBits has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is RankBits open source?
- No — RankBits is a closed-source tool. Source code is not publicly available.
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Curated lists that include this category
RankBits monitors how a brand surfaces across AI-generated answers by running configurable prompts against 14 engines simultaneously. The core workflow is: define a domain, select or generate prompts, add competitors, and run a scan. The output is a structured report covering visibility scores per engine, share of voice across all answers, the specific URLs being cited, and a prompt-by-prompt breakdown showing whether each engine mentioned, cited, or ignored the brand entirely. Exports go to CSV, Excel, and PDF.
The coverage of both assistant-tier and paid-tier models is a notable architectural choice. The vendor distinguishes between default ChatGPT answers and ChatGPT Pro answers, default Gemini and Gemini Pro, and default Claude and Claude Pro. This matters because premium reasoning models can produce different shortlists, and a brand that appears in the free tier may drop out in the paid tier that higher-intent buyers are more likely to use. Tracking both surfaces that divergence rather than masking it.
The source engine layer — Tavily and Exa specifically — addresses a monitoring blind spot most competitors miss. These are the search backends called by AI agents and research tools like Cursor and Cognition, so a brand that ranks well in ChatGPT but gets excluded from Exa’s semantic index is invisible in agent-driven workflows. RankBits surfaces both, giving SEO professionals a more complete picture of AI-era discoverability. The tool is passive monitoring SaaS with no self-hosted option and no agentic automation — it observes and reports, it does not act.
Continuous visibility tracking over time and alerting when scores drop are described as paid-only features. The free tier delivers point-in-time scans. The recommendations panel generates a prioritized action plan from scan results, but the vendor’s page does not describe integration with any external CMS, publishing, or SEO workflow tool — teams act on the output manually.