Brand & Market Intelligence

Don't just listen to the market. Ask it something.

n+1 powers purpose-built market research studies: live consumer dialogue through AI conversational ads, cross-checked against what people already say on YouTube, Reddit, and the open web. Built around your purpose, not your mentions.

The approach

Social listening watches your brand. A study has a purpose.

Monitoring suites watch everything about a brand, forever. n+1 is built for a specific need: we start new conversations to get the answer on demand, then gather the ones already happening to cross-check it.

The usual way
  • Track the brand name, chart the mentions
  • Backward-looking: what already happened
  • Listening only. The market never gets asked
The n+1 way
  • Built around a stated purpose, broad or pointed
  • We start new conversations on demand through AI ads
  • And gather the ones already happening on YouTube, Reddit, the open web
The platform

One purpose. Any mix of sources. One understanding.

Every study assembles the same way: state the purpose, pick the sources that fit it, and the intelligence core does the rest.

Purpose
"Understand what's resonating about the 2026 model's upgrades over last year, and what isn't."
Sources · choose one or several
Conversations we start
ai conversational ads
Conversations already happening
youtube reddit forums web search your own data
Studying the 2026 Corolla Hybrid's improvements over the 2025? We start conversations with real shoppers through our ads, and gather what people already say in YouTube reviews, comment threads, and owner forums. All scoped to your purpose, not just your brand name.
The intelligence core reads each conversation and post, whole, for
brand sentiment competitors mentioned topics user intent your custom focus areas
focus areas you define shape extraction and steer the agent's conversation
See it

The dashboard

Structured brand insights: sentiment, intents, topics, competitors, and your focus areas. Trended, filtered, broken down.

Ask it

Ask n+1

Your own questions, in plain language, answered from the same evidence with cited verbatim quotes.

The flagship source · AI Conversational Ads

A research conversation, placed where attention already is.

Our premium ad unit runs in-content on premium publisher sites. Readers chat with a sponsored AI agent right inside the ad: ask questions, get real answers, take action on the spot.

  • On demand. Need a thousand reactions to the launch? Run the media. Don't wait for the internet to bring it up.
  • Yours to direct. Define what the agent knows, how it speaks, and the focus areas it naturally steers conversation toward: shopping journey stage, use case, price bracket.
  • It can act. Tool plugins let it find a nearby dealer through Google Places, search live product inventory, or book the next step.
  • It adapts. Hero imagery, offers, and CTAs change with the conversation's context.
Ask n+1

The dashboard shows the what. Ask n+1 answers the why.

Structured insights live on the dashboard. Ask n+1 is for the questions that don't fit a chart: ask in plain language, get answers grounded in three tiers of knowledge.

  • k1

    Structured insight

    Brand sentiment, competitors mentioned, topics, and user intent, plus your custom focus areas: journey stage, use case, price bracket. Extracted from every conversation and post, whole.

  • k2

    The conversations themselves

    Real verbatim quotes, every one cited. Open the source conversation and read exactly what was said, and how the agent handled it.

  • k3

    A running understanding

    A continuously built narrative of the study so far, so every answer starts from context, not a cold search.

Beyond studies

The same agent, on your own site.

The intelligence behind our ad unit can run site-wide as your website's AI assistant. Same structured insight, same Ask n+1. It learns your customers' pain points and the brands they mention, and plugs into product search, even checkout.

site-wide assistant retail product search checkout
Talk to us about embedded →
n+1

When the data ends at n, the answer is at n+1.

We're working with a small set of brands while we build. Bring us a purpose worth studying.

∀ question ∃ evidence // n+1