Something quiet has been happening to search over the last couple of years. People still type questions into a box, but increasingly that box is a chat window, and the answer that comes back is a synthesized paragraph rather than ten blue links. A business can rank perfectly on Google and still be invisible inside an AI-generated answer, simply because the model wasn't confident enough about who that business is to mention it. That's the exact problem this platform was built to address β not rank tracking, not keyword volume, but the much stranger and newer question of whether AI systems actually understand, trust, and feel comfortable recommending a given business at all.
The workflow is intentionally staged rather than overwhelming. You start with a lightweight, free public snapshot of a single website β no login wall, no commitment β and only move into a fuller managed workspace once you've seen what the baseline looks like. Inside the workspace, findings are organized by category instead of dumped into one undifferentiated score, so a marketing lead can actually tell whether a problem is structural, a missing external reference, or a gap in how a model is currently describing the business.
What stands out here is the refusal to collapse everything into a single black-box number. Instead, four distinct signal types are measured and then blended into one top-line AI Visibility Score: on-site structural readiness, how well external sources corroborate the business across the public web, how AI models currently describe and interpret the business, and how clearly a canonical, machine-readable identity has been published. Operational transparency is treated as a feature in its own right too β published figures like scan success rate and average scan duration exist so teams aren't just trusting a vendor's claims at face value.
Beyond scoring, the platform produces something teams can actually act on: fix-ready recommendations tied to a verified site, monitoring and historical tracking so movement over time is visible rather than guessed at, and exportable reports like Situation Briefs for higher-tier plans. Agencies get a separate, purpose-built layer β Prospect Audits that turn public GEO signals into sales-ready artifacts for client pitches, plus a portfolio workspace for managing multiple client domains under one roof.
There's a clear, deliberate boundary between what you can do to your own site and what you can do to a competitor's. Full recommendations, fix prioritization, and schema guidance are reserved strictly for verified site owners or authorized agencies; competitor checks return visibility and benchmark context only, never actionable fix data. That distinction matters β it keeps the tool from becoming a vehicle for scraping or undermining domains you don't control, and it's baked into the product rather than left to an honor system.
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Pricing is built around two separate tracks β single-site plans for owner-operators, and agency plans for teams managing multiple client domains.
Most tools in the AI search space still lean heavily on familiar SEO instincts β rank positions, keyword volume, content generated at scale. This platform deliberately avoids that toolkit, arguing that those metrics don't actually capture whether a language model can confidently describe and recommend a business. Where a traditional SEO dashboard tells you where you rank, this one tells you whether you'd even survive being summarized by an AI assistant β and it separates that question into structure, external corroboration, model interpretation, and identity clarity, rather than one composite number that hides which lever to pull next.
The shift toward answer-first, increasingly clickless search isn't really up for debate anymore β it's already happening. What's less obvious is how a business is supposed to respond to it, since most existing marketing tooling was built for a world of rankings and click-through rates. This platform treats AI visibility as its own measurable discipline, with enough operational transparency and authorization discipline to feel like infrastructure rather than a novelty dashboard. For a business or agency trying to understand why an AI assistant either ignores them or describes them inaccurately, it's a genuinely useful starting point β and the free snapshot makes that starting point essentially risk-free.
What exactly does the AI Visibility Score measure?
It's a blended score combining four signals: on-site structural readiness (GEO), external corroboration across trusted sources (GEM), how AI models currently interpret the business (AI Perception), and how clearly a canonical identity has been published (AI Identity).
Is there a free option?
Yes, a free public snapshot is available for one website with no signup commitment, giving a lightweight GEO baseline before deciding whether to go deeper.
Can I run this on a competitor's website?
Competitor domains can receive visibility and benchmark context only; full recommendations, fix prioritization, and schema guidance are reserved for verified owners or authorized agencies.
What's the difference between the single-site plans and the agency plans?
Starter and Pro are designed for improving and monitoring one owned website. Agency Starter and Agency Pro add a portfolio workspace for multiple client domains plus Prospect Audits for sales prospecting.
Does monitoring happen automatically?
Monitoring and historical tracking are included starting on the Pro plan and above; the Starter plan uses a manual scan and re-scan workflow.
AI SEO Assistant , AI Marketing Plan Generator , AI Research Tool , AI Analytics Assistant .
These classifications represent its core capabilities and areas of application. For related tools, explore the linked categories above.
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