SEORCE - See where your brand is discovered and fix what blocks it

@simsim_sharma 

SEORCE supports multilingual and regional AI discovery by treating language and geography as first-class signals, not afterthoughts.

We run region- and language-specific prompt sets to see how AI tools describe brands in different markets. This lets teams spot where visibility, positioning, or competitors change by geography.

SEORCE also tracks which local sources and domains AI relies on in each region, helping brands understand what content or authority signals matter locally. Over time, you can see how AI narratives shift market by market and adjust content and messaging accordingly.

In short, it helps teams move from one global view to clear, localized AI discovery insights.

@robin_roy3 
Onboarding is designed to be quick and low-effort.

First-time users start by adding their brand, category, and key competitors. SEORCE then runs an initial AI visibility scan across major AI tools and surfaces a baseline view of how the brand shows up.

From there, users are guided through:

• Where they’re visible or missing in AI answers

• How they’re being positioned compared to competitors

• A small set of clear, prioritized actions to improve visibility

Most users get meaningful insights within their first session, without needing deep SEO knowledge.

@sujal_jaki 
Very transparent, that’s a core principle for us.

SEORCE clearly shows when AI answers are source-backed and when they aren’t. For cited responses, we surface the exact domains or pages AI is pulling from. For uncited answers, we flag them separately so teams know those signals are more volatile.

This way, users can easily tell what AI trusts, what’s driving visibility, and where they need stronger or clearer sources to improve authority.

@bijali_yadav 
SEORCE distinguishes between partial mentions and full brand replacement by looking at context and role, not just name matches.

A partial mention is when your brand appears but isn’t central, for example, listed as an option, feature, or side reference while another brand is positioned as the main recommendation.

A full replacement is when your brand is missing entirely and competitors are framed as the default solution for the same prompt or use case.

We track this by analyzing:

• The position and prominence of the mention in the response

• The language used (recommended vs referenced)

• Which competitor entities are presented as substitutes

This makes it clear whether you’re being acknowledged or actively displaced , and what to fix to move back into the primary role.

@new_user___0102026690a463f06c6bdf3 
SEORCE maintains accuracy by focusing on patterns, not one-off answers, and by continuously adapting to how AI systems change.

We use repeatable prompt sets and run them on a regular schedule, so we can track trends over time instead of reacting to single responses. As models evolve, we update prompts, entity mappings, and analysis rules to stay aligned with how those systems actually respond.

By combining consistency with ongoing calibration, SEORCE keeps AI visibility insights reliable even as the underlying models change.

@komal_devi2 

SEORCE looks at context and role, not just name mentions.

A partial mention means your brand appears, but isn’t the main recommendation (for example, listed as an option or feature).

A full replacement means your brand is missing entirely and competitors are positioned as the default solution.

We track prominence, language used, and which competitors take your place, so it’s clear whether you’re being acknowledged or pushed out.

@chhoti_royal 
SEORCE starts giving useful insights immediately, but reliability improves with time.

You’ll see an initial baseline from the first scan. After 2–4 weeks of repeated runs, patterns become much clearer, letting you separate real trends from one-off AI variations. Longer history simply makes the signals stronger and more confident.

@guddil_yadav 
Yes, and this is one of the key gaps SEORCE is designed to catch.

Rankings can stay the same while AI visibility quietly drops. SEORCE tracks whether your brand is still being mentioned, how it’s positioned, and who replaces you inside AI answers. That means you can spot visibility loss in AI summaries and recommendations even when your Google rankings look stable.

@kajal_yadav8 
SEORCE identifies this by comparing who AI chooses to mention and recommend for the same prompts over time.

We track which brands appear, how prominently they’re positioned, and the language used. When competitors start showing up more often, are framed as the default choice, or replace your brand entirely, SEORCE flags that shift and shows which competitors took your place and why.