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CiteHawk
Summary
You asked six AI engines whether your brand gets recommended and got six different answers with no sources, no history, and no way to explain to your CMO why the number moved last week — that's the gap CiteHawk was built to close.
CiteHawk runs your brand prompts across nine AI engines, stores every answer word for word with its model version, and surfaces which competitor sites are getting cited where yours isn't. The Scout assistant inside the workspace reads those stored answers and tells you what shifted and what to address next. The free tier runs 50 prompts, which is enough for a single brand health snapshot. When you hit paid tiers, you get scheduled collection, client portals, and white-label reporting — the features agencies need before they can bill this work. The ceiling shows up when you need to act on the findings: CiteHawk diagnoses the gap, but closing it requires your own content and SEO work outside the platform.
Bottom line: Pick CiteHawk if you need auditable, stored AI-answer data to show a client or stakeholder why their brand isn't being recommended — but plan to run your remediation in a separate tool, because the platform stops at the diagnosis.
Pricing Plans
Subscription- Free Tier
- Free AI visibility report with 50 prompts on Starter tier
Starter
50 prompts, 9 engines, API and MCP
- Weekly collections
- Stored answers
- Scout assistant
Agency
450 prompts, 9 engines, white-label, client portals
- Portfolio view
- Pitch projects
- Scheduled reports
View full pricing on citehawk.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Stores every AI answer verbatim with its model version, so when a client asks why their score dropped you have the exact text that ran — not a reconstructed estimate.
- Covers nine AI engines in a single collection run, which means you're not manually querying ChatGPT, Copilot, and Google AI Overviews separately and trying to reconcile the results.
- MCP connector lets you query your brand's visibility data from inside Claude or ChatGPT, so the analysis happens in the AI environment your team already uses instead of a separate dashboard tab.
- White-label client portals and scheduled report digests from your own domain are available on the agency tier, so you can deliver this as a branded service without building the infrastructure yourself.
- The AI Index — a pre-run ranking across 240 categories — lets you see where AI places competitors before you commit to a paid plan, which de-risks the initial evaluation conversation with a client or stakeholder.
Cons
Sign in to edit- CiteHawk identifies which third-party domains your competitors are cited from and you are not, but it does not help you get listed on those domains — that work happens entirely outside the platform, through PR, content, or link-building tools you already own. Teams with no existing content operation find the gap report actionable in theory and stalled in practice.
- Prompt volume is hard-capped by plan, and nine engines times multiple brand queries times weekly cadence consumes that limit faster than it appears on the pricing page. Agencies running more than a handful of active clients hit the ceiling and either upgrade or start prioritizing which clients get tracked that week.
- There is no self-hosted option, which means verbatim AI answers about client brands — potentially including competitive intelligence — are stored on CiteHawk's infrastructure. Enterprises or agencies with data residency requirements in regulated sectors will hit a procurement wall here and look at building their own prompt-logging layer instead.
- The platform produces no remediation tooling — no content drafting, no backlink outreach, no structured prompt-injection workflow. Teams that evaluated CiteHawk expecting a full Answer Engine Optimization platform and found only the monitoring layer tend to treat it as a reporting add-on and run their actual optimization work in a separate system, which means maintaining two workflows.
About
- Platforms
- Web
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-09-16T04:23:43.717Z
Best For
Who it's for
- Marketing teams monitoring AI visibility
- Agencies managing multiple client brands
- Brands seeking to influence AI-generated answers
What it does well
- Track AI recommendations for a brand across engines
- Identify why a brand ranks or loses to competitors
- Store and audit exact AI answers for compliance or strategy
- Generate reports for clients or internal stakeholders
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is CiteHawk free?
- CiteHawk has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is CiteHawk open source?
- No — CiteHawk is a closed-source tool. Source code is not publicly available.
- Does CiteHawk have an API?
- Yes. CiteHawk exposes a developer API. See the official documentation at https://citehawk.com for details.
- What platforms does CiteHawk support?
- CiteHawk is available on: Web.
Curated lists that include this category
Why brand prompts across AI engines leave teams without answers
You asked six AI engines whether your brand gets recommended and got six different answers with no sources, no history, and no way to explain to your CMO why the number moved last week.
How CiteHawk closes the gap
CiteHawk runs your brand prompts across nine AI engines, stores every answer word for word with its model version, and surfaces which competitor sites are getting cited where yours isn’t. The Scout assistant inside the workspace reads those stored answers and tells you what shifted and what to address next.
The free tier runs 50 prompts, enough for a single brand health snapshot. Paid tiers add scheduled collection, client portals, and white-label reporting.
Key capabilities
It covers nine AI engines in a single collection run. An MCP connector lets you query visibility data from inside Claude or ChatGPT. It stores exact AI answers verbatim for compliance or strategy.
Limitations to consider
CiteHawk identifies citation gaps but does not help you get listed on those domains. Prompt volume is hard-capped by plan.
Who it is for and who should skip it
Best for marketing teams monitoring AI visibility, agencies managing multiple client brands, and brands seeking to influence AI-generated answers. Teams with no existing content operation may find the gap report actionable in theory and stalled in practice. Agencies running more than a handful of active clients can hit the prompt limits quickly.