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Discovery / GEO & AI Visibility

Be the brand AI recommends.

Buyers are asking AI what to consider, and getting an answer that leaves you out, gets you wrong, or names a competitor instead. You can't see any of it happening.

Where do we build evidence to get recommended by AI?
Work with usReview the engagement

Command center / citation map

Decision arena
Buyer questions / where AI cites you
Evidence state
Real product / demo data
GEO Command Center / authentic interface
Evidence recordInspect provenance
Artifact
Product interface
Evidence status
Working product / demonstration dataset
Record ID
TX-PROD-GEO-01
Record
Working product interface / synthetic demonstration dataset / captured 2026-06-30
Decision question
Where does the brand earn citation on priority AI prompts?
Claim boundary
The interface is authentic; the brand, values, and snapshot are a controlled demonstration, not client performance evidence.
GEO Command CenterKnow where AI names you, and where it doesn't.

Engagement brief

One question, tightly drawn. One decision you can defend.

Built for
For the CMO and the content, search, and digital leaders who own category discovery.
Start here
AI visibility and citation baseline
Decision record
Where AI cites you now, and a ranked plan to get cited more
What we need from you
Two working sessions plus access to your priority content and search data.

The analytical work

Evidence enters. A capital or operating decision leaves.

What we'll ask you for

  1. Your priority categories, markets, and commercial questions
  2. Your content, search performance, and credibility signals
  3. The competitor set and the proof points buyers need to believe

How we get to the answer

  1. Map the questions your buyers actually ask AI
  2. Measure where you show up, who gets cited, and why
  3. Trace each gap to the evidence that would close it
  4. Rank the fixes by effort and commercial payoff

Evidence sequence

Not dashboards for display. Evidence for the next move.

Every view below answers the three questions you'd ask anyway: what did we look at, what did we find, and what should you do about it?

Operational interface Working product / demonstration dataset
01

Competitive context

See who owns the answer, and why.

Compare competitors and sources across the same buying questions. This is the real product interface, shown with a stand-in brand and demonstration data.

Open evidence record Product interface / TX-PROD-GEO-01
Artifact
Product interface
Evidence status
Working product / demonstration dataset
Record ID
TX-PROD-GEO-01
Record
Working product interface / synthetic demonstration dataset / captured 2026-06-30
Decision question
Where does the brand earn citation on priority AI prompts?
Working product interface / synthetic demonstration data
What Tangentix found
The same handful of sources kept deciding which competitors got named.
Decision that follows
Build your credibility where AI already goes looking for proof.
Operational interface Working product / demonstration dataset
02

Citation anatomy

Go from a visibility score to a fix you can act on.

The real citation view moves from platform-level heat to the exact sources and pages that shape future answers.

Open evidence record Product interface / TX-PROD-GEO-01
Artifact
Product interface
Evidence status
Working product / demonstration dataset
Record ID
TX-PROD-GEO-01
Record
Working product interface / synthetic demonstration dataset / captured 2026-06-30
Decision question
Where does the brand earn citation on priority AI prompts?
Focused product view Platform citation heat

Which of your pages get cited across answer engines, and where you're thin.

Focused inline view · inspect opens the complete high-resolution interface view.
Working product interface / synthetic demonstration data
What Tangentix found
Your own pages did show up. They just counted for far less than the sources you don't control.
Decision that follows
Focus on the pages and outside sources most likely to change what AI cites.

Business-impact bridge

Connect AI visibility to a real decision, without inventing attribution.

The product shows you where you're included and where you're left out. We connect that to the evidence worth building, who owns building it, and what to watch downstream, so you can tell your CFO whether this work deserves funding.

  1. 01 Visibility signal

    The questions that matter most

    Whether you're cited, where you rank, how varied the sources are, and who else shows up.

  2. 02 Evidence diagnosis

    Why the answer leaves you out

    Missing proof of your own, weak sources, no structured product data, or competitors crowding you out.

  3. 03 Operating decision

    What to build next

    The specific page, product data, or third-party source to create, with a named owner.

  4. 04 Commercial observation

    Whether visibility creates demand

    Referral behavior, branded demand, lead quality, and conversion, but only where you can actually see them.

What we won't claim More citations isn't the same as more revenue. We only connect GEO work to commercial results where there's a real baseline or a controlled comparison.

What your team receives

A plan to earn AI citations, ready to run.

It connects the questions buyers ask, where you're cited today, what to fix first, who owns it, and why the work is worth funding.

  1. 01A map of buyer questions and where you're cited today
  2. 02Competitor visibility map
  3. 0390-day plan to earn more citations

How we'll know it worked

  • Coverage of the questions that matter
  • Citation share and source diversity
  • Visibility on the comparisons that drive choice
  • Qualified demand downstream, where we can see it

Start with ai visibility and citation baseline

Decide how to win AI recommendations.

Bring the category and the commercial question. We'll find the citation evidence that matters first, and whether deeper work is worth it.

Work with us

Capture record
Decision question
Presentation
What it doesn't prove
High-resolution evidence preview