Superlines Alternatives: 8 AI Visibility Tools Compared
Superlines alternatives compared on engine flexibility, tracking method, crawler analytics and price, for teams choosing which AI surfaces to monitor.
Superlines’ distinguishing feature is that you choose which AI engines to pay for, across ten or more surfaces, with interface-based tracking. Alternatives either offer more engines, cheaper engines, or something that isn’t engine coverage at all. Sorting by which of those you need makes the list short.
We build Kitbase, which falls in the third group.
More engines
Profound
The widest list available: ChatGPT, Perplexity, Claude, Gemini, Copilot, Grok, Meta AI, DeepSeek, Google AI Overviews and AI Mode. It also has agent analytics and the only real prompt-volume dataset in the category, drawn from actual AI conversations rather than the prompts you thought to enter. Enterprise pricing. Best for contested categories with budget.
Trakkr
Around eight platforms including Grok, Meta AI and DeepSeek, at mid-market pricing. The closest thing to Superlines’ breadth without tiered selection. Best for teams who want the whole set rather than a chosen subset.
LLMrefs
Up to eleven models, free to low cost, keyword-derived prompts. Lighter on competitive reporting and history. Best for wide but shallow checks.
Cheaper engines
Hall
Around eight surfaces on a free tier that stores history, plus conversation context behind each citation and server-side agent analytics for crawlers. Hard to beat on value. Best for teams wanting breadth without spend.
Otterly.AI
ChatGPT, Perplexity, Google AI Overviews and Copilot at base with more as add-ons, plus a GEO content audit. Best for SMBs and agencies.
Rankscale
Lowest serious paid price, credit-based, multi-engine. Best for budget-constrained teams.
Something other than engine coverage
Kitbase
Kitbase covers up to ten surfaces, ChatGPT, Gemini, Perplexity, Claude, DeepSeek, GLM, Kimi, Google AI Overviews and AI Mode, with access tiered by plan rather than chosen. That’s less flexible than Superlines and it’s the trade.
What it buys is the rest of the funnel. Server-side AI crawler detection resolves forwarded requests to named crawlers and verifies each against published identity before counting, with per-path crawl frequency. Cookieless web analytics runs on the same events pipeline with autocapture, funnels, journeys, retention and rage-click detection. Backlink opportunities are built from the domains AI cites for your category where you’re absent, with a marketplace for placements on those sites. There’s a site audit, keyword research, workflows and an MCP server on every plan.
The answer-layer reporting is also more granular: mentions and citations counted separately, share of voice with a dense rank across every tracked brand, cited pages classified by ownership and source type, and per-mention sentiment, recommendation status and list position, with competitors the engines named that you don’t track surfaced automatically and backfilled.
Best for teams consolidating measurement rather than optimising engine coverage.
Peec AI
Demand-weighted prompt suggestions, competitive benchmarking, multi-country tracking, Looker Studio export. Solves the “which prompts” problem rather than the “which engines” one. Best for marketing teams and agencies.
At a glance
| Tool | Engine flexibility | Tracking method | Crawler data | Price band |
|---|---|---|---|---|
| Superlines | Pick 3–10 by tier | Interfaces | No | Mid-market |
| Profound | Widest fixed set | Mixed | Yes | Enterprise |
| Trakkr | ~8 fixed | Mixed | No | Mid-market |
| LLMrefs | Up to 11 | Mixed | No | Free → low |
| Hall | ~8 fixed | Mixed | Yes | Free → mid |
| Otterly.AI | Base + add-ons | Mixed | No | Entry-level |
| Rankscale | Multi | Mixed | No | Lowest paid |
| Kitbase | Tiered by plan | Consumer surfaces | Yes, verified | From $99/mo |
| Peec AI | Base + add-ons | Mixed | No | Mid-market |
Vendors document tracking method inconsistently, so confirm directly if it matters to you. The same goes for pricing, which conflicts across every published source.
The question behind engine selection
Choosing engines is only worth optimising if you know which ones your buyers use, and most teams are guessing.
The cost of guessing wrong runs both ways. Tracking a surface nobody in your market uses is a recurring API bill for a chart nobody opens. Missing one they do use means your presence rate is measuring the wrong population, and you’ll optimise for the wrong sources.
Two things reduce the guesswork. Referral data tells you which AI products actually send you visitors, though it undercounts badly because much AI traffic arrives without a useful referrer. And crawler data tells you which AI companies are reading your site at all, which is a decent proxy for which ones might cite you. We covered the first problem in AI dark traffic and attribution.
Once you know where your buyers are, engine flexibility matters much less, because the list you need is usually short and stable.
FAQ
Which Superlines alternative offers the most engines? Profound, with Copilot, Grok, Meta AI and DeepSeek alongside the majors.
Is there a free Superlines alternative? Hall’s free tier covers around eight surfaces and stores history. LLMrefs and Gumshoe have free entry points.
Does interface tracking beat API tracking? They answer different questions. Interfaces reflect what a user sees; APIs give reproducible, cleaner trend series. Both need repeated sampling.
Which alternatives include crawler analytics? Hall, Profound, Scrunch AI and Kitbase. Kitbase verifies crawler identity against published ranges.
How do I know which engines to track? Start from referral data and AI crawler activity on your own site, then track the surfaces your buyers actually use rather than the longest available list.
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