Kollavo
Summary
Your brand answers questions correctly on your own site, ranks well in organic search, and still gets zero citations when users ask an LLM — because the sources those models pull from are a different game entirely. Kollavo is a managed service built specifically for that gap, targeting the authority sites and citation patterns that AI search engines actually pull from.
Kollavo tracks where your brand appears — and where competitors appear instead — across AI-generated answers, then works to place your brand on the high-authority sources LLMs are known to cite. The core workflow is a dashboard plus a managed placement service: you monitor competitor citation frequency, identify which authoritative domains are driving AI visibility, and Kollavo handles the outreach and placement work to get your brand mentioned there. This works well for marketing and SEO teams who have the budget but not the bandwidth to run an AI citation strategy manually. The ceiling appears when you need granular API access to pipe citation data into your own analytics stack — Kollavo does not offer an API, so teams with custom reporting pipelines hit a dead end and export manually.
Bottom line: Pick Kollavo if you need a managed, done-for-you path to AI search citations without building the outreach infrastructure yourself — but plan a workaround if your team needs citation data flowing into an existing BI or SEO reporting system, because there is no API to connect them.
Pricing Plans
Subscription- Price
- $99/mo
- Free Tier
- Free AI audit with no signup, results in 60 seconds
Kollavo Monthly
Everything needed for AI search citations with flexible monthly billing. Cancel anytime.
- AI prompt curation
- Citation gap analysis
- Outreach and placement handled
- Real-time dashboard
Enterprise
For multi-brand companies and agencies needing scale and dedicated support.
- Multi-brand management
- Priority queue
- Dedicated strategist
- Custom reporting
View full pricing on kollavo.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Managed placement on high-authority sites cited by LLMs, so your team is not building outreach infrastructure from scratch just to appear in AI answers.
- Competitor citation tracking in AI search results, which means you can see specifically which brands are getting cited in your product category and why — before assuming your content strategy is the only lever.
- Combined monitoring and execution in one service, so the gap between 'we know the problem' and 'someone is fixing it' does not widen indefinitely while ownership gets debated internally.
- Agency-oriented structure for managing multiple clients, which means one team can run AI citation strategies across a brand portfolio without rebuilding the workflow per client.
Cons
Sign in to edit- No API means citation data cannot be pulled into a custom reporting stack automatically. Teams that route all channel performance data through a BI tool or a unified SEO dashboard will end up on a manual export schedule — or maintaining a disconnected report that nobody trusts after two weeks.
- The service is fully managed and not self-hosted, so teams with strict data governance requirements or those operating in regulated industries have no path to running the tooling on their own infrastructure. When that requirement appears, teams move to building a custom citation monitoring layer internally or with a vendor that offers data portability.
- There are no named competitors in this category with validated alternatives, which means teams evaluating Kollavo cannot run a direct feature comparison — and if the managed service does not produce measurable citation lift within the contract period, there is no obvious drop-in replacement to pivot to.
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About
- Platforms
- Web dashboard
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-18T11:35:07.082Z
Best For
Who it's for
- Marketing and SEO teams
- Brands seeking AI search visibility
- Agencies managing multiple clients
What it does well
- Securing citations in AI answers for product categories
- Tracking competitor visibility in AI search
- Managing brand mentions on high-authority sites cited by LLMs
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Frequently Asked Questions
- Is Kollavo free?
- Kollavo is a paid tool ($99/mo). No permanent free tier is offered.
- Is Kollavo open source?
- No — Kollavo is a closed-source tool. Source code is not publicly available.
- What platforms does Kollavo support?
- Kollavo is available on: Web dashboard.
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Curated lists that include this category
Kollavo addresses the specific problem of brand invisibility in AI-generated answers — the scenario where a user asks an LLM about a product category and competitors get cited while your brand does not. The service combines a monitoring dashboard with active placement work: the vendor tracks which authoritative domains LLMs draw citations from, surfaces where your competitors are already mentioned, and then manages outreach to secure brand mentions on those same high-authority sources. You see the citation landscape; Kollavo runs the placement operation.
The differentiating element is that Kollavo focuses on the supply side of AI citations — the managed service layer that actually places brand content on the sites LLMs trust — rather than just reporting on citation gaps you would then have to close yourself. For agencies managing multiple brand clients, this is the distinction that matters: the monitoring and the execution are packaged together rather than requiring a separate content or PR team to act on the data.
The service fits marketing and SEO teams who treat AI search visibility as a channel worth investing in but lack the in-house resources to run a citation-building operation. It breaks down for teams that need programmatic data access. There is no API, so citation metrics cannot be pushed into a custom dashboard, fed into an attribution model, or joined with other channel data without manual export. Teams with a strong data operations function — where every channel feeds a central analytics layer — will find that constraint forces a parallel workflow rather than an integrated one. Self-hosting is not an option, and the tool is paid-only with no open-source path.