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A Brand (also called a Domain) represents a distinct business entity you want to monitor in AI search. Each brand has its own name, website, target market, competitors, tracked prompts, and analytics.

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What counts as a brand?

A brand can represent many things:
  • A product line — “Nike Running”, “Nike Basketball”
  • A geographic market — “Acme UK”, “Acme Germany”
  • A business unit — “Retail Division”, “Enterprise Division”
  • A sub-brand — “Nike”, “Jordan Brand”, “Converse”
  • A specific campaign or landing page
Each brand has independent analytics and configuration. Use the domain switcher in the sidebar to switch between brands.

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Creating a brand

1

Navigate to Brand Settings and click Add Brand

2

Enter basic information

  • Brand name — the name you want to monitor (use the most common form customers use)
  • Website URL — your primary URL including https://
  • Business Type — select your business model (e.g., B2B, B2C, SaaS)
  • Description — a brief description of your brand or business
3

Configure your markets

Add one or more markets for your brand. Each market is a combination of:
  • Country — the geographic market (affects prompt generation and analysis context)
  • Language — the language for monitoring (matches your content language)
You can add multiple markets to monitor your brand across different regions simultaneously.
4

Define your audience (optional but recommended)

  • Target audience — describe your ideal customer
  • Industry / Topic — your business category
5

Add competitors (up to 4 by default)

Enter each competitor’s brand name and website. Choose direct competitors or market leaders to benchmark against.
Country and language matter. They directly influence which prompts are generated, how responses are analyzed, and which competitors are relevant. Create separate brands for separate markets.

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Brand settings explained

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Brand Detection

The Brand Detection card in Brand Settings controls how Superlines identifies mentions of your brand in AI responses. Detection uses a two-step process:
  1. AI extraction — an AI model reads the full response and extracts every company, brand, and product name it finds. This step is unbiased because the model doesn’t know which brand you’re looking for.
  2. Matching — Superlines checks whether any of your brand names (including variations you configure) appear in the extracted list. A secondary regex-based check provides an additional signal.
If a match is found, Superlines also runs sentiment analysis to determine whether the mention is positive, neutral, or negative. Brand Detection accuracy depends on two settings described below: Brand Name Variations (to catch all the ways your brand might be mentioned) and the Exclude List (to filter out false positives from similar-sounding names).

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Your Brand Name Variations

Alternative names, abbreviations, acronyms, or common misspellings that AI models might use when referring to your brand. Superlines checks all of these during brand detection, so adding variations ensures you capture every mention.
1

Open Brand Settings

Navigate to Settings → Brand Settings and select the brand you want to configure.
2

Find the Brand Detection card

Scroll to the Brand Detection section.
3

Add variations

In the Your Brand Name Variations field, enter comma-separated values. For example:Microsoft Corp, MSFT, MS Corporation
4

Save

Click Save Settings at the bottom of the page. Changes take effect on the next analysis cycle.
What to include:
Check the Response Analysis page for responses where your brand is not detected. If you spot mentions that use an alternative name, add that name as a variation.
Do not add generic words (e.g., “running”, “cloud”) as variations — they will trigger false positives across many responses.

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Exclude List from My Brand

Brand names that look similar to yours but should not be counted as your brand mentions. The exclude list filters out these names after extraction, preventing false positives in your analytics.
1

Open Brand Settings

Navigate to Settings → Brand Settings and select the brand you want to configure.
2

Find the Brand Detection card

Scroll to the Brand Detection section.
3

Add exclusions

In the Exclude List from My Brand field, enter comma-separated values. For example:Microsoft Office, MS Paint, MS-DOS
4

Save

Click Save Settings. Excluded names are filtered out starting with the next analysis cycle.
When to use the exclude list:
Excluded names only affect your brand’s mention counts. They do not change how competitor brands are detected or reported.
Review the Response Analysis page and filter for “Brand mentioned” to spot false positives. If a response is incorrectly marked as mentioning your brand because of a similar name, add that name to the exclude list.

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Hide from Brand Lists (Not a Brand)

AI answers sometimes name things that are not brands at all — product categories, regulators, insurance types — and the extractor stores them alongside real brands. A Finnish pension insurer, for example, will see YEL and TyEL (statutory pension insurance types) appear as “brands” next to its actual competitors. The exclude list above does not remove these: it only stops a name from counting as your brand. Hide from Brand Lists removes the name from brand listings everywhere.
1

Open Brand Settings

Navigate to Settings → Brand Settings and select the brand you want to configure.
2

Find the Brand Detection card

Scroll to the Brand Detection section.
3

Add the names to hide

In the Hide from Brand Lists (Not a Brand) field, enter comma-separated values. For example:YEL, TyEL, Kela
4

Save

Click Save Settings. Hidden names disappear from listings on the next load (dashboard results are cached for up to two minutes).
Hidden names are removed from:
  • Brands by Brand Visibility and the Competitor Visibility Heatmap in the dashboard, plus the Competitor Analysis and Brand Sentiment pages
  • analyze_brand_mentions, get_visibility_heatmap and get_competitor_insights in the MCP server
  • The brands endpoint of the Metrics API
Because they are removed before aggregation, they also stop counting towards the Share of Voice denominator, so the remaining brands’ shares add up to 100% again.
Matching is case-insensitive on the exact name (tyel hides TyEL and TYEL, but not TyEL-vakuutus). Add each variant you see in the listing.

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Competitor mappings

For each competitor, you can set up brand mappings to consolidate variations:
  • Canonical name — the main name (e.g., “Nike Running”)
  • Aliases — variations (e.g., “Nike Run Club”, “NRC”)
This improves accuracy in Share of Voice and competitor analytics.

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Market configuration

Superlines supports multiple markets per brand. Each market is a country/language pair that determines how prompts are generated and responses are analyzed.
Unlike setting up separate brands per market, multiple markets within a single brand let you track the same brand identity across different regions while keeping analytics unified.

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Sitemap settings

Configure automatic sitemap integration:
  • Sitemap URL — your website’s sitemap URL for automatic page discovery
  • Auto-sync — enable to keep your tracked pages in sync with your sitemap

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Prompt automation

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Automatic prompt generation

When you create a brand, Superlines automatically discovers relevant prompts based on:
  • Your industry and business category
  • Target audience definition
  • Competitor analysis
  • Current trending topics
The initial auto-generated prompts provide a great starting point. Review them and add your own high-priority questions as you learn more.

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Plan-based limits

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Best practices