Superlines Review

Overview

Superlines is an AI Search Intelligence platform that measures and grows brand visibility across answer engines - ChatGPT, Gemini, Perplexity and Google AI Overviews. Its stated differentiator is data collection from the real user-facing AI interfaces rather than API outputs, which the vendor argues can diverge from what customers see; the practical consequence for a marketing team is visibility data that matches the answers their buyers get. The platform tracks 10+ engines, exposes everything through a UI, an API and an MCP server, and pairs monitoring with an Action Center that turns visibility gaps into tasks. Pricing starts at EUR79/month for three engines and 50 tracked prompts on one brand, scales through Pro at EUR199 (150 prompts, 3 brands, exports, site audits) and Growth at EUR379 (300 prompts, 7 brands, API access), with a 7-day free trial and 12% off annual billing. The company is Helsinki-based with agency programs as a core go-to-market. For teams already running AI-visibility spreadsheets, the evaluation question is whether real-interface collection and the MCP access are worth the subscription over manual prompt panels; assess it as a GEO analytics layer rather than a content-creation tool.

AI Capabilities

• Tracks brand visibility across ChatGPT, Gemini, Perplexity and Google AI Overviews
• GEO (Generative Engine Optimization) analytics with recommendations
• Data available via UI, API and MCP server

Key Integrations

Best for

Brand and agency teams that need defensible AI Search visibility numbers across multiple engines, and teams that want GEO data readable by agents through MCP.

Not for

Teams wanting a free tier (entry is EUR79/mo after a 7-day trial) and content teams looking for an AI writing tool - Superlines measures visibility, it does not generate content.

Hands-on notes

Assessed from the vendor's live site and pricing pages (September 2026); we have not run Superlines ourselves. The pitch that matters for marketing ops is the collection method: Superlines samples the actual AI Search interfaces your customers use, on the argument that API-mode outputs differ from what users see. That claim is worth testing in a trial against your own prompt panel before committing budget.

The agency angle is structural, not cosmetic: multi-brand workspaces, competitor tracking on every plan including Starter, and an agency program. Prompts tracked scale 50/150/300 across Starter/Pro/Growth, history runs 1/2/6 months, and API access gates at Growth - so the data leaves the dashboard only once you are three tiers up.

The MCP server is the notable integration decision: an agent such as Claude Code can query your AI Search visibility data directly, which fits the pattern of GEO analytics becoming infrastructure that agents read rather than another dashboard a human checks.

Verdict

A GEO analytics layer for the AI-search era: real-interface collection, MCP access and agency-grade multi-brand support, priced from EUR79 per month.

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