AI search, made actionable

See how AI presents your brand—and grow from there.

GeoSense connects answers, conversations, and sources so your team can strengthen visibility, earn trust, and move with confidence.

Public platform marks from categories including AI answer engines, professional and social communities, short-form and video platforms, and reference sources.

Sample data

One clear view from answer to opportunity

Follow visibility, conversations, and cited sources from the first question to the next meaningful action.

Sources: Gemini · Perplexity · Reddit · Quora

Prompt resultsSample data
Best mineral sunscreen for sensitive skin74 · MentionedGemini
Barrier-repair moisturizer shortlist68 · CitedPerplexity
Fragrance-free cleanser comparison61 · MentionedOpenAI
Creator-led barrier routines58 · Visibility opportunityGemini
Sample beauty discovery scorecard with an upward visibility trend
Visibility62/100
Product walkthrough · Visibility 62 · share of voice 28%

Public platform marks from categories including AI answer engines, professional and social communities, short-form and video platforms, and reference sources.

  • OpenAI
  • Google Gemini
  • Perplexity
  • Anthropic
  • DeepSeek
  • Qwen
  • Reddit
  • TikTok
  • Threads
  • Snapchat
  • Instagram
  • YouTube
  • Facebook
  • Quora
  • LinkedIn
  • Wikipedia

A new front door

Meet your next customer before they reach your website

More discovery journeys now begin with a question to AI. When you can see how each answer is formed, your brand can show up earlier and in the right context.

GeoSense brings the prompt, answer, and source evidence together so your team can move with clarity.

Three sample consumer beauty questions across AI and public conversations.

  • What is the best mineral sunscreen for sensitive skin?

  • Which creators shape barrier-repair routines?

  • What sources appear in AI moisturizer recommendations?

From insight to progress

Turn every answer into a clearer path forward

See whether the opportunity is visibility, position, or accuracy, then shape a focused brief around the evidence.

  • OpenAI
  • Google Gemini
  • Perplexity
  • Reddit
  • Quora
  • LinkedIn
  • Wikipedia
  • YouTube

NORTHSTAR

  • Community forums
  • Review sites
  • Documentation
  • Owned pages
Answer engines, creators, reviews, and public sources converge before the team chooses its next action.

  • Find threads

    Rank answer-shaping threads.

    Sample data Three ranked conversations with relevance scores and one review action.
    • 92
    • 77
    • 61

  • Prepare a response

    Draft in prompt and source context.

    Sample data A planning composer with a concise response, a review source, product documentation, and one team-review action.

    The guide compares mineral sunscreen textures and notes sensitive-skin considerations.

    • Source review
    • Product docs

  • Plan and measure

    Set a target for the next discovery review.

    Sample data A team-review state with a citation target and priority marker for the next discovery review.

    Ready for team review

    Target: cited Priority 2

Sample data
A row of eight sample beauty opportunities with relevance scores. When moving, focus the row to pause it.
  • Creator comparison thread84
  • Sensitive-skin question51
  • Barrier-routine advice37
  • Mineral sunscreen shortlist62
  • Ingredient pairing question29
  • Regional beauty trend44
  • Fragrance-free review thread18
  • Retailer roundup request33
A second row of eight sample beauty opportunities with relevance scores. When moving, focus the row to pause it.
  • Source gap noted26
  • Price-point question58
  • Moisturizer alternatives thread71
  • Routine starter question22
  • Climate-specific query40
  • Product review request35
  • Retailer roundup request47
  • Creator brief checklist16

See the opportunity

See where your brand stands—and where it can go next

Compare prompts, competitors, citations, and progress over time in one shared view.

  • Visibility tracking

    Watch answer visibility move with a signed direction.

    Sample data Sample brand visibility is 62 out of 100, up four points, with an upward six-run trend and third-place category position.

    Visibility score 62/100

    Change+4 points

    A sample six-run beauty-category visibility trend rising from 44 to 62 out of 100.

    Category position3rd

  • Prompt coverage

    See covered questions and answers that miss you.

    Sample data Sample prompt coverage card with a beauty question above coverage, missed-mention, and newly added prompt totals.

    What is the best mineral sunscreen for sensitive skin?

    • 14 of 24Prompts covered
    • 6No mention
    • 3New this week

  • Citation sources

    See source categories without naming a publisher.

    Sample data Sample citation ledger with three beauty source categories and their citation state.
    Citation map connecting three source categories to the tracked answer.
    • Mineral sunscreen review roundup Review site Cited
    • Ingredient reference guide Editorial guide Not cited
    • Sensitive-skin community thread Community forum Not cited

  • Reporting

    Share a week of answer changes in one clear readout.

    Sample data Sample weekly beauty discovery report with visibility, citation coverage, share of voice, and answer counts above four labelled surface groups.
    62/100Visibility score 28%Share of voice 42Cited sources
    • Chat assistants38
    • Search summaries26
    • Research agents19
    • Voice assistants11

Stay close to demand

Meet the questions shaping what comes next

See new conversations while they are taking shape, so your team can learn early and prepare for the next AI answer.

  • Ranked threads

    Order open conversations by likely answer influence.

    Sample data Sample beauty conversation watchlist ordered by relevance. Two sample community questions ranked by relevance to a beauty discovery brief.

    • Which mineral sunscreens work well for sensitive skin?

      Community forum · 3h ago42 replies

      Relevance: High

    • Which creators explain barrier repair without overcomplicating it?

      Community forum · 6h ago18 replies

      Relevance: Medium

  • New threads

    Catch a question while a considered reply can set its tone.

    Sample data A configured view of recent questions across public-source categories. A recent-question panel with source filters and one monitored conversation.

    Building a sensitive-skin routine, where do I begin?

    New · 12m ago2 replies

  • Single search

    Run one question across monitored surfaces.

    Sample data A focused search across configured public-source views. A source search for barrier-repair routines scoped to community forums.

    Monitoring: Community forums

  • Alerts

    See when a prompt, source, or thread needs review.

    Sample data Sample alerts for changes in tracked answers and cited sources. Two sample alerts flag an answer change and a cited-source change for review.
    +4 pointsChange 42Cited sources 6No mention

    • A tracked prompt changed its answer

      AI chat · 20mNeeds review

    • A cited source dropped out of the answer

      Search · 1hNeeds review

A shared view each week

Give every team a clear way forward.

Bring visibility, citations, and category movement into one concise brief that makes the next decision easier.

Sample dataThe sample tracked brand has 28 percent share of voice across the displayed beauty prompts.

Share of voice

28%

Sample brand share across the displayed prompt-and-engine cells.

The sample tracked brand leads the nearest category peer by six points across prompt-and-engine cells.

Sample dataThe sample beauty discovery set contains 42 unique source records.

Cited sources

42

Unique source records across the current answer set.

Twelve sample sources cite the tracked brand; six more appear only with category peers.

Sample dataThe tracked brand is absent from six of 24 sample beauty prompts.

“The tracked brand is absent from 6 of 24 sample prompts.”

Largest answer gap

The evidence view keeps the answer excerpt, engine, prompt, and cited URLs together for review.

Sample dataA sample tracked brand or category peer in the consumer beauty scenario.

GLOWMERE SAMPLE

Sample tracked brand or category peer.

Sample dataA sample tracked brand or category peer in the consumer beauty scenario.

CALMORA SAMPLE

Sample tracked brand or category peer.

Sample dataA sample insight derived from the fictional consumer beauty figures.

“Publish the sensitive-skin sunscreen guide, then review the six missed prompts.”

Recommended next action

The beauty scenario and all figures are sample data; they do not represent a customer account.

Explore with confidence

What teams want to know.

Clear answers about what GeoSense tracks, how teams use it, and how every sample is identified.

What does GeoSense track?

GeoSense organizes prompt-by-engine results and reports mention rate, citation rate, share of voice, position, sentiment, accuracy, cited sources, answer excerpts, and category context when those fields are available.

How do teams use the visibility and citation views?

Teams compare prompts and competitors, inspect which answers mention the brand, review the sources each answer cites, and carry the strongest gaps into content, source, or outreach work.

Does GeoSense show evidence behind the score?

Yes. GeoSense can keep the prompt, answer excerpt, engine, cited URLs, source class, and review context together so a team can inspect the evidence behind an aggregate metric.

Is the beauty data on this page a customer result?

No. The beauty scenario and all figures are sample data created to show how GeoSense presents prompts, metrics, category peers, citations, and next actions.

Ready for what comes next?

See where you stand. Shape where you go next.

Start with your brand and the questions customers are asking. GeoSense turns them into a clear view, grounded in evidence and ready for action.