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AI Citation Intelligence

Grow your share of
AI-driven demand.

Findabl is an AI citation intelligence platform that measures where ChatGPT, Gemini, Perplexity, and Claude cite your brand versus competitors, then delivers prioritized Actions to close the gap. Written so your team can ship the fixes next week, not next quarter.

Honest baseline. Real recommendations grounded in your own data. Every action item carries the observation that triggered it and the test you'll run to know it worked.

Built by the team behind 3Cubed.ai , AI marketing systems.

Prefer a walkthrough? Book a 15-min demo

4
Workstreams
4
AI Engines
13+
Actions
Checks acrossChatGPTGeminiPerplexityClaude
Free · 60 secondsNo signup requiredSave scan to Actions
The shift, in three numbers

Search isn't broken, it's moved.

59%
of Google searches end without a single click
SparkToro / Datos, 2024
48%
of tracked queries now show an AI Overview (up from about 30% a year earlier)
BrightEdge, Feb 2026
+91%
paid-click lift for brands cited inside AI Overviews
Seer Interactive, Sept 2025 · 3,119 queries, 42 orgs
Honest baseline: aided + unaided side-by-side
Actions, prioritized by impact
Homonym detection, same-name brand confusion caught
Confidence intervals after 4 weeks of tracking
Self-audit publishing, turn your scan into earned media

We make your company known to AI

AI engines recommend brands they can retrieve, verify, and trust. We build that footprint.

1

Strong entity footprint

Build a consistent presence across the trusted sources AI engines retrieve from.

2

Authoritative third-party citations

Increase the independent citations that make AI treat your brand as credible evidence.

3

Original research and expertise

Create the reference material others cite, so AI finds your expertise everywhere it looks.

4

Consistent brand messaging

Keep your story identical across the web, so AI never has to guess who you are.

5

Filled retrieval gaps

Find the places where AI lacks reliable evidence about you, and put it there.

6

Measured recommendations

Track whether AI is actually recommending your brand, and understand why or why not.

What you'll have after one scan

A scan in 60 seconds. The deliverables in plain English: same five every time, grounded in your own data, honest enough to publish.

1

Aided baseline: what each AI engine actually knows about you

Per-engine description of your brand when asked directly, plus a homonym warning if AI may be confusing you with a same-named entity. The honest floor before we pivot to action.

2

Winnability-scored shortlist of prompts you can realistically own

Each candidate prompt scored High / Medium / Low across saturation, authority gap, entity fit, and positioning match, so you target prompts you can win in 30-90 days, not aspirational ones that take a year.

3

1-3 declared active targets with explicit override on Low picks

The shortlist becomes commitments. Pick the prompts you'll work on, the dashboard tracks them as their own metric, and Low-tier picks require explicit acknowledgment that the timeline is 6+ months.

4

Per-target competitive diagnosis: what the winner has that you don't

The page AI cites for each target, parsed for schema, question headings, content depth, freshness, and author bylines, compared against your page so you see the gap on the dimensions AI engines weigh.

5

Prioritized Actions

Entity anchoring · citation velocity · answer-engine content · measurement loop. Each recommendation tagged with its workstream and layer, with the data we observed and the test you'll run to verify.

Sophia

Sophia tells you what to fix first.

Your scan returns the full picture: GEO Score, Citation Rate, Answer Map. Sophia reads it for you and names the one fix that moves you most, no GEO expertise required.

Sophia diagnoses and writes the plan. You run the plays. Auto-publishing the fixes is on the roadmap.

S
Sophia
AI citation analyst
64 / 100
GEO Score
ChatGPT, citedGeminiPerplexityClaude
You
Why isn't Perplexity citing us?
Sophia
Perplexity cites a competitor's clinical page for evidence yours does not show. Add a study summary with citations to your product page and you become citable. I added it to your action plan.
Added to action plan
See it in action

The actual product, not mockups.

Findabl Answer Map, 12 variations of a buyer question scored across all four AI engines
Answer Map

See how AI actually answers the question.

Every buyer question runs 12 variations across ChatGPT, Gemini, Perplexity, and Claude. You see which engines cite you, which cite competitors, and what the AI actually said, verbatim.

  • Per-variation citation result, per engine
  • One-click "Add to Actions" for any gap
  • Buyer-stage diversity enforced in variation generation
Findabl Citation Reports, historical scan-to-scan comparison with deltas and confidence intervals
Citation Reports

Track every scan, ship a published trajectory.

Scan-to-scan comparison with statistically-honest deltas and confidence intervals after four weeks of tracking. The same numbers you act on internally, honest enough to publish externally.

  • Per-engine citation rate over time
  • Publisher-domain mix with weekly deltas
  • Self-audit publishing, one-click Medium/Substack/LinkedIn draft
Findabl Actions, prioritized action items with observed data and verification tests
Actions

Get Actions your team can ship next week.

Every action item carries the data point that triggered it and the verification test you'll run to know it worked. No generic best-practices lists, just specific work grounded in your scan.

  • Grouped by workstream: entity, citation, content, measurement
  • Critical / High / Medium priority, scored against winnability
  • Verification test on every action, no untestable advice

Built for teams who can't afford to be invisible

Marketing Leaders

CMOs & VP Marketing

Walk out of every quarterly review with Actions tied to measured data, not vendor opinions.

Prioritized Actions Confidence intervals after four weeks of tracking
Agencies & Consultants

B2B and B2C Agencies

Run a full citation scan for every client in 60 seconds, export findings as thought leadership content.

White-label Actions Export findings as publishable content
Brand & Content Teams

Digital & Content Managers

See exactly what the AI-cited winner has on-page that you don't: schema, question headings, freshness, and the fix to prioritize.

Per-target winner comparison Layer-aware competitive map

Who does AI cite in your space?

Findabl shows the full citation map: your share, every competitor cited instead, and the publisher domains AI engines actually weight when answering.

Citation share
for "B2B Marketing Agency"

When someone asks ChatGPT, Gemini, Perplexity, or Claude to recommend a marketing agency, which brands get cited, how often, by which model, and which Actions move the number?

Per-engine breakdown across ChatGPT, Gemini, Perplexity, Claude
Prioritized Actions, grounded in your scan
Publisher Domain Index: who AI cites in your category
Confidence intervals after four weeks of tracking; honest cadence
Your site
18%
18%
Competitor A
41%
41%
Competitor B
27%
27%
Competitor C
14%
14%

Sample data · Available on paid plans

Who we are, and why we built this

We spent years in branding and consumer insights, studying how buyers discover brands and decide who to trust. Then we watched the ground shift under all of it.

Buyers stopped opening ten blue links and started asking one question in ChatGPT. And the brands winning those answers were not always the best companies. They were the companies AI could retrieve, verify, and trust. Great products with weak digital footprints simply vanished from the conversation.

The tools of the old era measured rankings. Nothing measured whether AI actually recommends you, or told you what to do when it doesn't. So we built Findabl to do both: an honest baseline of where you stand across every major AI engine, and a concrete plan to change it.

Our mission

Make every credible brand retrievable, trustworthy, and recommendable by AI.

Honest measurement first. Unaided prompts, real engine answers, no vanity numbers. Plans over scores. Every scan ends in actions, each tied to the data that triggered it. Trust is earned in the sources. We build the third-party evidence AI relies on, not tricks.

Built for any business

From ecommerce and local services to B2B SaaS, agencies, professional services, and regulated industries. If buyers ask AI about your category, we track whether you get named.

Ecommerce & Retail
Local & Home Services
B2B SaaS & Tech
Agencies & Marketing
Professional Services
Food, Travel & Wellness
Finance, Legal & Insurance
Healthcare & Life Sciences

Frequently asked questions

Get your Actions.
In 60 seconds.

Your competitors are already being cited by AI. Find out where you stand and what to do about it, free, no signup.

Built by the team behind 3Cubed.ai, researchers and AI experts in citation mechanics and generative engine optimization. Headquartered in New York.