---
title: "Kitbase vs Frase: Content Briefs Plus Tracking vs Full GEO Measurement | Kitbase Blog"
description: "Kitbase vs Frase compared on content optimisation, AI visibility tracking depth, crawler detection and connecting citations to conversions."
canonical: https://kitbase.dev/blog/kitbase-vs-frase
---

**Frase helps you write pages worth citing. Kitbase tells you whether the engines read them and what happened next.** They sit at opposite ends of the same workflow, which is why teams often end up with both rather than choosing.

We build Kitbase.

## Frase's case

Frase started as a content research and brief tool, using SERP analysis to shape what a page should cover, and added AI visibility tracking across around eight platforms as the category shifted.

The research-led brief is still its strongest feature. Deciding what a page must cover to be considered authoritative is a real skill, and Frase turns it into a repeatable process. For teams that write their own content but keep producing pages that miss the mark, that's the problem being solved.

Its visibility tracking is a sensible addition rather than a category-leading one. Fine for a baseline, shallower than the dedicated platforms on citation-level detail, and it doesn't cover crawlers.

## Kitbase's case

Kitbase does none of the briefing and considerably more of the measurement.

**Answers.** Up to ten surfaces, ChatGPT, Gemini, Perplexity, Claude, DeepSeek, GLM, Kimi, Google AI Overviews and AI Mode. Presence rate splits brand mentions from actual domain citations. Share of voice is normalised across every tracked brand with a dense rank. Cited sources go to the exact page, classified as yours, a competitor's or third-party and tagged by source type. Every mention carries sentiment, recommendation status and list position.

**Crawlers.** Server-side [detection](https://docs.kitbase.dev/crawler-detection) reading forwarded requests from your server or edge, resolved to a named crawler and verified against published identity, with per-path crawl frequency. This is the loop that closes a content programme: you published the page Frase briefed, and this tells you whether anything fetched it.

**Conversions.** Cookieless web analytics on the same pipeline with autocapture, funnels, journeys, retention, page durations and rage-click detection.

**Targets.** Backlink opportunities built from the domains AI cites for your category where you're absent, plus a link marketplace ranked by those citation signals. When the engines answer from third-party sites, this is the work, and no content brief helps.

**The honest limitation:** Kitbase produces no briefs, no content scores, no writing guidance. Its site audit covers technical issues rather than editorial ones.

## Side by side

| | Frase | Kitbase |
|---|---|---|
| Content research and briefs | Yes, core strength | No |
| Content optimisation scoring | Yes | No |
| AI engines tracked | ~8 | Up to 10, plan-tiered |
| Mentioned vs cited split | Basic | Reported separately |
| Cited-page mapping with source types | Limited | Yes |
| Sentiment, recommendation, list position | Limited | All three, per mention |
| AI crawler detection | No | Yes, with identity verification |
| Cookieless web analytics | No | Yes |
| Backlinks / link marketplace | No | Yes |
| Price band | Mid-market | From $99/mo, 7-day trial |

## The workflow both belong to

Written out, the GEO loop looks like this:

1. Decide which prompts matter. Prompt discovery tools and demand data help here.
2. Work out why you're losing them. Cited-source data tells you whether a competitor's page beat you or a review site owns the answer.
3. Write something better, if step two says content is the lever. Frase is good at this.
4. Confirm the engines fetched it. Crawler data, and nothing else, answers this.
5. Confirm the citations moved, across repeated runs rather than one check.
6. Confirm the traffic did something.

Frase covers step three well. Kitbase covers two, four, five and six. Neither covers all of it, and a tool claiming to usually does one part properly and the rest thinly.

Step four is the one teams skip and it's where content programmes quietly fail. A well-briefed page that nothing has crawled is invisible regardless of quality.

## FAQ

**Does Kitbase help write content?**
No. It identifies which gaps are worth closing and whether published pages were crawled and cited.

**Is Frase's AI visibility tracking enough?**
For a baseline across several platforms, yes. It's shallower than dedicated tools on citation detail and doesn't cover crawlers.

**Which tracks more engines?**
Kitbase on its Business plan, at ten surfaces.

**Can I use both?**
Yes, and it's a clean split: Frase for briefs, Kitbase for measurement and crawler verification.

**Do content scores predict AI citations?**
Loosely. Being comprehensive helps, but retrieval matters more, which is why crawl data and cited-source mix are better predictors than an on-page score.

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*Want to know whether AI engines read the pages you carefully briefed? [Start your free trial](https://app.kitbase.dev/signup/) — 7 days, no credit card required.*
