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About Superlines

Superlines is an AI Search Intelligence platform for enterprise marketing teams and marketing agencies. It provides granular visibility into brand mentions, position, share of voice, citations, sources and competitive performance across AI engines, brands and markets.It is broader than a traditional SEO rank tracker. The purpose is to show how brands are represented, compared, cited and recommended across AI Search.
Superlines is built primarily for two groups:
  • Enterprise marketing teams that measure and improve AI Search visibility across brands, products and markets. Brand, SEO, content, communications, digital, growth and analytics teams use it inside that organization.
  • Marketing agencies that manage AI Search visibility across client portfolios, brands, markets and AI engines.
It is particularly suited to multi-market and multi-brand organizations: many countries and languages, large prompt sets, many competitors, and centralized reporting.Self-service plans are available for smaller teams that need the same kind of intelligence at lower data volumes.
Use Superlines where your team already works.
  • MCP connects Superlines to AI assistants and workflows such as Claude, ChatGPT, Cursor and n8n. See the setup guide.
  • API brings granular AI Search data into your own dashboards, applications and reporting workflows. See authentication.
  • Looker Studio is available for custom dashboards and scheduled reports. See the Looker Studio guide.

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Reporting & data export

There are several ways to get reports out of Superlines:Quick options:
  • Take a screenshot of the Visibility page at analytics.superlines.io/dashboard or the Overview page
  • Use the Export button in the top-right corner of the Visibility page for a clean one-page summary
Advanced options:
  • REST API — pull data into your own reporting system via the Metrics API and visualize it however you like
  • MCP Server — use Claude, ChatGPT, Cursor or n8n to ask questions about your data and generate reports (setup guide)
  • Looker Studio — connect to Looker Studio for custom dashboards and scheduled reports (integration guide)
When you create a brand, Superlines automatically discovers relevant prompts based on your industry, target audience, and competitors. These auto-generated prompts identify “hot” conversation topics that are relevant to your business — providing a great starting point for a lightweight AI search audit.You can then refine the list by adding your own high-priority questions, removing irrelevant ones, and organizing them with labels.

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Prompts & data

Superlines uses a multi-layered approach:
  1. Industry analysis — based on your business category and target audience
  2. Competitor monitoring — what topics competitors are being mentioned for
  3. AI search trends — tracking emerging queries in your space
  4. Search data correlation — mapping AI prompts to traditional search queries
  5. User feedback — learning from prompts you add, pause, or ignore
The system continuously refines its suggestions as it learns what matters for your brand.
Our data comes from multiple sources:
  • AI query databases — aggregated, anonymized query data from AI platforms
  • Search behavior analysis — correlating traditional search queries with AI-era prompts
  • Industry trend detection — monitoring trending topics by vertical
  • Platform observation — analyzing public AI interactions and community forums
We don’t access individual user queries or private conversations. All data is aggregated and anonymized.
Yes, absolutely. You can upgrade your plan at any time to get:
  • More tracked prompts (50 on Starter, 150 on Pro, 300 on Growth, 400+ on Enterprise)
  • More brands
  • Longer history, data exports, API access, and site audits
  • Up to 10 AI engines on Enterprise (Starter, Pro, and Growth include any 3)
Changes take effect immediately. Upgrade from the Subscription page, or contact your account manager. See Organizations for the full plan comparison.
Superlines begins collecting data from the moment you create a brand. We can’t provide historical data because:
  1. Real-time testing — we send your prompts to AI engines and capture actual responses, which requires active monitoring
  2. AI responses change constantly — unlike traditional search rankings, AI responses are dynamic and non-deterministic
  3. No historical API — AI platforms don’t provide historical response data
Your historical data begins building from day one and becomes more valuable over time as trends emerge.
This is normal behavior during the first 24–48 hours:
  • Small sample sizes make percentages volatile — one new response has an outsized impact
  • Initial responses are being collected across all engines simultaneously
  • Numbers stabilize within 48 hours as more responses are collected
Wait at least 48 hours before drawing conclusions from your data.

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Metrics & definitions

These measure two different things:Brand Visibility = “How often is my brand mentioned?”
Share of Voice = “How do I compare to competitors?”
Example: If 100 prompts are tested:
  • Your brand appears in 30 responses → Brand Visibility = 30%
  • Total brand mentions across all responses: 200 (yours: 50, competitors: 150) → SOV = 25%
Brand Visibility tells you about your absolute presence. Share of Voice tells you about your competitive position.
Average Position measures where your brand typically appears in the order of brand mentions within AI-generated answers. Position 1 = mentioned first, Position 2 = mentioned second, etc.The average is volume-weighted — days with more AI responses have proportionally more influence on the score. This is similar to how Google Search Console calculates impression-weighted position.Key points:
  • Only responses where your brand is actually mentioned are included
  • Lower position = better (being mentioned first means AI models see you as a primary recommendation)
  • The Average Position Ranking leaderboard shows how you compare to all other brands
Example: If an AI responds to “Best project management tools” and mentions Asana first, Monday.com second, and your brand third — your position for that response is 3.Average Position helps you understand the quality of your visibility. A brand can have high Brand Visibility (mentioned often) but poor Average Position (mentioned last). Improving your position means AI models treat your brand as a top recommendation.
This looks impossible at first — for example, a label showing 10.1% while its five prompts show 3.5%, 6.0%, 4.2%, 0.0%, and 0.7% — but it is expected. The two levels use slightly different detection rules:
  • Label/theme level (and the dashboard KPI card) counts a response when your brand is found anywhere in the response text, including common name variants — “Yale” counts for the brand “Yale Home”.
  • Per-prompt Brand Visibility (Prompts table and CSV export) is stricter: a response counts only when your exact brand name appears in the structured list of brands extracted from that response.
Since the per-prompt rule is stricter, its percentages are always lower than or equal to what the tolerant rule would give — so every prompt can sit below the label figure.To reconcile the numbers: in the Tracked Prompts CSV export, divide Brand Mentions by AI Responses for each prompt. Those columns use the same detection as the label level, and summed across the label’s prompts they reproduce the label figure exactly (e.g., 73 / 726 = 10.1%).Also note that the label figure is response-weighted, not a simple average of the prompt percentages — prompts with more responses influence it more.
The Industry Average shown on the KPI cards and in the Industry Ranking section is the simple (unweighted) mean of the metric across the brands currently shown in the Industry Ranking table — at most the top 10.Which brands are included depends on the Only my competitors toggle in the Industry Ranking section:
  • Toggle on (default): only your configured competitors, plus your own brand
  • Toggle off: all brands detected in AI responses
Two things to keep in mind when using it as a benchmark:
  1. Your own brand is always part of the average, so it is not a pure “everyone else” comparison.
  2. Every brand counts equally in the average, regardless of how many mentions it has.

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Account & billing

This depends on your plan:Agency plans allow more client brands: 5 on Agency Starter, 10 on Agency Pro, 20 on Agency Growth, and unlimited on Agency Enterprise.Each brand is independent with its own prompts, competitors, and analytics. Prompts are shared across all brands from your organization quota.

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Still have questions?

Contact support

Email us at support@superlines.io

Book a demo

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