GetIntel

GetIntel measures how frequently your product appears in AI-generated chat responses when buyers ask questions in your category, then compares that frequency against named competitors. The core workflow runs a set of buyer-intent queries through AI systems, scores your citation rate, and maps where you appear versus where competitors appear instead. Results are organized across five pillars — Foundation, Brand, Authority, Content, and Rankings — so you can see not just that you’re underperforming but which structural area is dragging the score down.

The differentiating feature is competitive gap detection at the query level. Rather than a single aggregate score, the platform surfaces individual questions where a competitor is cited and you are absent. That specificity turns a vague ‘we’re not ranking in AI’ concern into a list of content or authority problems you can actually act on, which is where most AI visibility tools stop at aggregate dashboards.

The free entry point is a single snapshot score with no signup required, which makes it a low-friction diagnostic for founders who aren’t sure the problem is real. The ceiling arrives quickly: weekly tracking, longitudinal improvement data, and multi-competitor benchmarking are paid-only features. Teams that need to prove to stakeholders that their AI visibility strategy is moving the needle will hit the free tier’s limits within the first reporting cycle. There is no self-hosted option and no open-source release, so all query data and benchmark comparisons run through GetIntel’s infrastructure — a consideration for teams with data residency requirements.

The platform targets SaaS products competing in categories where AI chat responses influence buyer discovery. It is a monitoring and prioritization tool; it does not generate the content, build the citations, or run the outreach campaigns that would improve your score. Teams consistently report needing to pair it with a separate content or PR workflow to act on what the platform surfaces.