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

@simaku_roy 
Keyword rankings tell you where a page sits on Google. AI discovery is about whether and how your brand becomes part of an answer. SEORCE looks beyond rankings in a few key ways:

• Brand presence in AI answers: We track whether your brand is mentioned at all for category and use-case prompts, even when there’s no link or ranking involved

• Context and positioning: We analyze how AI describes you — recommended solution, comparison option, or passing reference

• Source influence: We identify which pages or domains AI is pulling from, and whether your own content is shaping the answer

• Competitive framing: We show who appears instead of you, and how competitors are being positioned in the same responses

• Trends over time: By running consistent prompts repeatedly, we track changes in visibility and narrative as AI answers evolve

So instead of just telling you “you rank #X,” SEORCE helps you understand whether AI understands you, trusts you, and chooses to mention you at all, which is quickly becoming the real discovery layer.

@rosan_roy 
SEORCE redefines SEO by shifting the focus from “where do I rank?” to “how am I understood and surfaced by AI?”

In an AI-driven world, discovery often happens inside answers and summaries, not search result pages. SEORCE reflects that by helping teams:

• Measure presence, not just position : whether your brand is included in AI answers at all

• Understand context and positioning : how AI describes you, compares you, or recommends you

• Track source influence : which content AI trusts and pulls from when forming responses

• Compare against competitors : who owns the narrative inside AI summaries and why

• Act on insights : clear signals on what to fix or create to improve visibility

In short, SEORCE treats SEO as search + AI discovery, helping brands stay visible as answers increasingly replace clicks and rankings.

@udays_yadav 
SEORCE is built to be approachable even if you’re new to SEO, especially because traditional SEO tools can feel overwhelming fast. Instead of throwing dozens of charts and metrics at you, we focus on clear questions and clear answers, like:

• Are you showing up in AI answers or not?

• How is your brand being described?

• Who shows up instead of you?

• What’s the simplest thing to fix first?

For beginners, this means you don’t need to know every SEO term to get value. You can start by understanding visibility and positioning, then gradually go deeper as you learn. At the same time, more experienced users still get the depth they need.

@udays_yadav Definitely. And just in case you end up in issues, we are here to support.

@shiva_madhav 
The biggest ones we’re focused on are:

• Stronger source-level attribution: Going beyond “you’re mentioned” to showing which specific pages, sections, or facts are influencing AI answers. This helps teams fix the right content, not just create more of it.

• Narrative and sentiment tracking: Understanding not just visibility, but how the story about your brand is changing inside AI responses over time , what claims stick, what fades, and where competitors reshape the narrative.

• Prompt-to-content mapping: Directly connecting AI prompts to the content gaps that caused you to be missing, so “you’re not showing up” immediately turns into “create or improve this type of page.”

• Geo and market-level AI visibility: Seeing how AI answers differ by region or market, which will matter a lot for global brands as models localize more.

Overall, the biggest impact will come from features that turn AI discovery into something measurable, explainable, and actionable, not just another black box. That’s the direction we’re pushing SEORCE in.

@sunny_singh47 
SEORCE helps brands move from being mentioned to being trusted and preferred by AI in a few key ways:

• Separating weak vs strong visibility: We distinguish between one-off, uncited mentions and consistent, citation-backed appearances, so teams know what’s fragile and what’s authoritative.

• Source and credibility signals: We show which sources AI relies on when mentioning your brand. That helps teams strengthen the pages, references, and third-party signals that actually influence AI answers.

• Positioning analysis: SEORCE tracks how AI frames you, expert, option, comparison, or afterthought. Authority shows up in language, not just frequency, and we surface that shift over time.

• Competitive context: Authority is relative. We show who AI treats as the default or reference point in your category, so you can see what you need to replace or outperform.

• Clear actions to reinforce trust: Based on gaps, we suggest content and clarity improvements that align with how AI already reasons about your space.

@shivani_bharadwaj 

In AI systems, brands aren’t treated as just keywords. They’re treated as entities with attributes, relationships, and context. SEORCE leans into that.

Here’s the role it plays:

• Accurate brand identification: We use entity recognition to make sure mentions are actually about your brand (not a similar name, product, or generic term). This reduces false positives and noise.

• Contextual understanding: Once an entity is identified, we analyze how it’s being described, as a company, product, category leader, alternative, or feature. That context matters more than raw mention counts.

• Relationship mapping: We track which entities you’re associated with in AI answers, competitors, categories, technologies, use cases. These associations strongly influence positioning and authority.

• Consistency over time: Entity-level tracking lets us see whether AI systems are forming a stable understanding of your brand, or if descriptions and associations keep shifting. Stability is a key signal of authority.

• Actionable insights: When entity signals are weak or fragmented, SEORCE can point to where clarity is missing, in content, messaging, or third-party references.

In short, entity recognition lets SEORCE analyze how AI understands your brand, not just whether it mentions your name.

@new_user___2472025e5e723a7dd177f14 
Small to mid-sized teams see the fastest value.

Founders, lean marketing or growth teams (around 2–10 people), and small agency pods benefit most because they need quick, clear insights on AI visibility without juggling multiple tools.