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CiteHawk
FreemiumAPI
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.
$99/month · Free tier: 50 prompts × 7 engines, 350 checks weekly, 1 project, 1 country, 14 days full access · Checked Oct 31, 2026
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Screenshots 1
Summary
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
SubscriptionLast verified 4 days ago- Price
- $99/month
- Free Tier
- 50 prompts × 7 engines, 350 checks weekly, 1 project, 1 country, 14 days full access
Free
Free
Full AI visibility report on your brand, no credit card required. 14 days of full access to new workspace.
- AI Visibility Score
- Competitor comparison
- Citation tracking across 8 AI platforms
- No credit card required
Starter
$99per month
For founders and in-house marketers tracking one brand's AI visibility.
- 50 prompts u00d7 7 engines
- 350 checks weekly
- 1 project
- 1 country
Pro
$239per month
For brands outgrowing Starter: three times the prompts, a second project.
- 150 prompts u00d7 7 engines
- 1,050 checks weekly
- 2 projects
- 1 country
Growth
$469per month
For marketing teams that need depth: more prompts, more markets. Most popular plan.
- 250 prompts u00d7 8 engines
- 2,000 checks weekly
- 3 projects
- 2 countries
Agency
$999per month
For agencies running AI search visibility as a service across client portfolios.
- 450 prompts u00d7 8 engines
- 3,600 checks weekly
- 5 projects
- 3 countries
- White-label client kit
Enterprise
Custom
For large in-house teams and agency networks: custom prompt and market volume, invoicing, and tailored onboarding.
- Custom prompt volume
- Custom market volume
- Invoicing
- Tailored onboarding
View full pricing on citehawk.com →
Pricing may have changed since last verified. Check the official site for current plans.
Find your fit
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Pros
- 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
- 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
- September 16, 2026
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
Frequently Asked Questions
- Is CiteHawk free?
- CiteHawk offers a free option alongside paid upgrades. Pricing: $99/month. Check the current allowances and terms before choosing a plan.
- 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.
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