--- title: "Kitbase vs Peec AI: Prompt Discovery vs the Full GEO Funnel | Kitbase Blog" description: "Kitbase vs Peec AI compared on engines, prompt discovery, competitive benchmarking and crawler data, with an honest read on which team each one suits." canonical: https://kitbase.dev/blog/kitbase-vs-peec-ai --- **Peec AI is the better tool for finding out which prompts to track. Kitbase is the better tool for finding out why your numbers moved once you're tracking them.** Both measure how often AI engines mention and cite your brand, both benchmark you against competitors, and both are priced for teams rather than enterprises. They diverge on what surrounds that measurement: Peec invests in prompt discovery and competitive reporting, Kitbase invests in the crawler and analytics data that sits underneath the answer layer. We make Kitbase. Peec is a good product and we'll say where it wins. ## The overlap Start with what you get from either one, because it's most of the job. Both query the major answer engines on a schedule with prompts you define, both report how often you appear, both split that into brand mentions and actual citations of your domain, and both track competitors on the same axes so you can see share of voice rather than an isolated number. Both handle sentiment. Both export. If your requirement stops at "tell me whether ChatGPT mentions us and how that's trending against our three main rivals," either tool does it and the decision comes down to price and interface preference. ## Where Peec is stronger **Prompt discovery.** This is Peec's real contribution. Deciding which prompts to track is the hardest part of running a GEO programme, and most tools hand you an empty text box. Peec suggests prompts weighted by search demand, which turns a guessing exercise into a shortlist. Kitbase suggests prompts too, and groups them into topics and personas, but Peec's demand weighting is the more mature version of the feature. **Multi-country tracking.** Peec's geographic tracking is a first-class part of the product. Kitbase offers multi-region tracking only on the Business plan. **Reporting for stakeholders.** Peec's exports to CSV and Looker Studio, plus its API, make it straightforward to drop AI visibility into an existing marketing reporting stack. Agencies in particular tend to prefer it for that reason. If prompt selection is where you're stuck, or you report to clients in Looker every month, Peec is the more direct answer. ## Where Kitbase is a different shape A presence rate is a symptom. The useful question is what caused it, and that answer lives outside the answer layer. Say your presence rate on Perplexity drops nine points over a month. Three things could have happened. The engines stopped crawling the pages that fed the answer. A competitor earned a citation on a review site that shapes the category. Or the answers didn't change much and you're reading normal sampling variance. Telling those apart needs crawler logs, citation-source mapping and enough runs to establish a baseline. Kitbase keeps all of that in one project: - **Server-side crawler detection.** GPTBot, ClaudeBot and PerplexityBot don't execute JavaScript, so tag-based tools can't see them. Kitbase reads forwarded requests from your server or edge, resolves each to a named crawler, and verifies the claim against the crawler's published identity so a spoofed user agent doesn't count as a real fetch. You get per-path crawl frequency, which is how you spot a section that stopped being read. - **Cited-source mapping with source types.** Not just which domains the engines cite, but whether each is yours, a competitor's or a third party, and what kind of source it is, from user-generated content through to editorial. That's the difference between "we lost ground" and "we lost ground because G2 and a Reddit thread now carry the answer." - **Cookieless web analytics on the same pipeline.** Funnels, journeys, retention and rage-click detection, so a visit arriving from an AI answer can be followed to a signup. - **Backlinks and a link marketplace.** The domains AI cites for your category, where you're absent, become a ranked outreach list. Peec is a focused AI visibility tool and doesn't try to do any of that. That focus is a virtue if you already have analytics you like. ## Side by side | | Peec AI | Kitbase | |---|---|---| | Engines at base tier | ChatGPT, Perplexity, Google AI Overviews; more as add-ons | ChatGPT on Starter; +Gemini +Perplexity on Pro; up to 10 on Business | | Prompt discovery weighted by demand | Yes | Suggestions, grouped by topic and persona | | Competitor benchmarking | Yes | Yes, with auto-detected competitors and history backfill | | Sentiment | Yes | Yes, plus recommended-vs-mentioned and list position | | Paid placements inside answers | No | Yes, ChatGPT + Google's AI surfaces | | Multi-country | Yes | Business plan only | | Looker Studio export | Yes | CSV and API exports; no native Looker connector | | AI crawler detection | No | Yes, with identity verification | | Web analytics | No | Yes, cookieless | | Backlinks / link opportunities | No | Yes | | Site audit | No | Yes | | MCP server | Not documented | Yes, every plan | ## The deciding question Ask what you'd do the morning after the dashboard shows a decline. If the answer is "brief the content team on the prompts we're losing," Peec gives you that faster and its prompt data is better. If the answer is "work out whether this is a crawling problem, a citation problem or noise," you need data Peec doesn't collect, and stitching it together from a separate analytics tool and raw server logs is a monthly chore. **Choose Peec AI if** prompt selection is your bottleneck, you track multiple countries, you're an agency reporting to clients, or you already have web analytics and crawler visibility you're happy with. **Choose Kitbase if** you want the answer data joined to crawler and conversion data in one place, you'd rather diagnose than just measure, or you're consolidating tools rather than adding one. Both publish enough to evaluate without a sales call. Run your ten most important prompts through each for two weeks and compare what you learn, not what the feature grids claim. ## FAQ **Does Peec AI track Claude?** Peec's base coverage centres on ChatGPT, Perplexity and Google's AI surfaces, with additional engines available at extra cost. Confirm current coverage on their site, since this category changes monthly. Kitbase covers Claude on the Business plan. **Which is cheaper, Peec AI or Kitbase?** They're in the same mid-market band and the honest answer depends on engine count and prompt volume. Kitbase publishes plans from $99/month with a 7-day trial; Peec publishes mid-market pricing that varies with engines and add-ons. **Can Kitbase suggest prompts like Peec?** Yes, Kitbase suggests prompts and organises them into topics and personas, and it surfaces competitors the engines named that you aren't tracking yet. Peec's demand-weighted suggestions are the stronger version of this specific feature. **Do I need crawler tracking if I already have AI visibility tracking?** You need it when you want to act on a decline. Answers tell you the outcome; crawler data tells you whether the engines could read the page that should have produced a better one. We cover the link in [does AI crawling predict citations](/blog/does-ai-crawling-predict-citations). **Can I use both?** Yes. Peec for prompt discovery, Kitbase for the funnel underneath. Whether that's worth two subscriptions depends on how many prompts genuinely matter in your category. --- *Want prompt tracking that comes with the crawler and conversion data behind it? [Start your free trial](https://app.kitbase.dev/signup/) — 7 days, no credit card required.*