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

@princeku945 
Thank you so much 🙌 That means a lot. We’ve really tried to build SEORCE around how discovery actually works today, not just how it used to. Glad the clarity and actions are coming through , appreciate the support ⚡️

@digital_world20 
Great question. The short answer is that AI visibility behaves very differently from classic SERPs, so we track it differently too.

With traditional SERP tracking, you’re mostly measuring rank positions for a fixed keyword on Google. It’s linear, page-based, and relatively stable.

With AI-generated summaries, there is no fixed “ranking.” SEORCE focuses on presence, context, and sourcing instead:

• Presence: whether your brand is mentioned at all for a given prompt or category

• Context: how the AI describes you (recommended solution, comparison, feature mention, or omission)

• Sources & citations: which pages or domains the AI is pulling from when forming the answer

• Competitor comparison: who shows up instead of you, and why

To keep this reliable, SEORCE runs repeatable prompt sets across AI tools and tracks changes over time. That way, you’re not reacting to one-off answers but seeing real trends in how AI summaries evolve.

So instead of “you moved from #5 to #3,” AI visibility tracking tells you why you’re being included, excluded, or reframed and what to fix to influence that.

@rahul_roy70 
SEORCE separates citation-backed answers from uncited (or potentially hallucinated) mentions instead of treating all visibility the same.

Here’s how we handle it:

• Citation detection: We identify when an AI answer is backed by explicit sources (links, references, domains) versus when a brand is mentioned without any citation

• Source mapping: For cited answers, we track which domains and pages are being used and whether your owned content is included

• Uncited mention analysis: For uncited mentions, we flag them as higher-volatility signals and track them over time to see if they persist or disappear

• Confidence scoring: Mentions that are consistent across runs and models are treated as stronger signals than one-off, uncited references

This way, teams can tell the difference between durable visibility (backed by sources AI trusts) and fragile visibility (more likely to shift as models update) and know where to focus next to make those mentions more defensible.

@pram_kumar1 
Right now, SEORCE is most valuable for teams that care about how they’re discovered inside AI answers, not just how they rank on Google. In practice, that usually means:

• Growth and SEO teams who already do the basics well, but are missing visibility inside AI tools like ChatGPT, Perplexity, or Gemini

• Marketing teams at SaaS and tech companies where AI recommendations can strongly influence buyer research

• Agencies that want to show clients why visibility is changing and what to fix beyond classic SEO reports

• Founders and early teams who need quick clarity on how their product is being positioned by AI without deep SEO expertise

In short, SEORCE helps teams who don’t want to fly blind as discovery shifts from rankings to AI-driven answers.

@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.