Predictive Marketing AI · Multi-signal

Every exposure decided by AI — AI search · social · recommendation. Pluora predicts it before you publish.

Pluora is Plurank's multi-signal marketing AI model. Trained on 30M+ data points across 12 countries — 7 AI search engines + YouTube · Instagram · X · TikTok · Threads — it predicts where your content will be exposed, cited, and recommended before publication.

12+Integrated data sources
30M+BigQuery training data
7 + 5AI search · social signals
Who We Are

The world's first
GEO-optimization AI model company.

GEO (Generative Engine Optimization) is SEO for the age of AI search. Where SEO measured "the probability your page lands on the first results page," GEO measures "the probability your content gets cited in answers from ChatGPT, Claude, Perplexity, and Gemini."

Each week, Plurank captures 30M+ publish-to-citation data points across 7 AI platforms in 12 countries to train our in-house citation-prediction model, Pluora. Pluora outputs your citation probability as a score, before you publish — we're building the Surfer SEO for the AI search era.

01

Measure

Citation tracking across 7 AI × 12 countries

02

Learn

30M+ publish-to-citation dataset

03

Predict

Per-content citation probability output

Why tracking has become harder

Once a single search rank — now 12+ channels answer at once.

A single user query now triggers ChatGPT answers, TikTok recommendations, Reddit threads, and media citations simultaneously. Without tracking all of these together — half of your marketing decisions become invisible.

AI Search7

ChatGPT · Claude · Perplexity · Gemini · AI Overview · AI Mode · DeepSeek

Social5

TikTok · YouTube · Instagram · X · Threads

Community5+

Reddit · Hacker News · Quora · G2 · Trustpilot

Media80+

Allure · TechCrunch · Mashable · global outlets across 80+ titles

Why This Matters

The decision-maker in marketing has changed.

The era of human curation is over. AI algorithms now decide every exposure — and marketing only works when you can predict them.

70%
of YouTube watch-time is decided by AI recommendations
YouTube CPO
90%+
of TikTok FYP reach is non-followers — the algorithm
Sotrender
−58%
Organic CTR drop after Google AI Overviews launched
Ahrefs · 2025
900M
weekly active ChatGPT users — replacing search
OpenAI · 2026.02
65%
of CMOs say AI is fundamentally changing their role
Gartner · 2025
AI gatekeepers stack up at every stage
2010 SEO search algorithms
2015 Social Algo recommendation feeds
2023 LLM Search AI answers
2026+ Agentic Commerce
Our Hypothesis
AI search + social + the coming Agentic Commerce — a single model that unifies prediction across every AI-mediated channel of exposure, citation, and recommendation will become the standard marketing infrastructure. That's why Pluora is built on multi-signal integrated learning, not on any single channel.
Build vs Plurank · Cost & Time

Build it yourself in a year, or use Plurank next week.

Tracking 12 countries × 12 channels in-house requires worker infrastructure, ISP IPs in 12 countries, 248-feature normalization, and a retraining pipeline. An ML team needs 6–12 months full-time — Plurank replaces all of it with a subscription.

Build in-house
Plurank
Setup time
6–12 months
Next week
Annual cost
$250K–$400K
Subscription (per keyword)
Headcount
2–3 (incl. ML engineer)
0
12-country ISP IP infra
Custom build
Included
Weekly auto-update / retraining
Custom pipeline
Included
5 Lens · What we surface

See where and how your brand appears
through five lenses.

We pull together signals scattered across search, social, communities, and media — into five analytical lenses. What's working now and what to improve to lift your score, both backed by data.

01

CitationLens

Inside 7 AI answers

Where your brand is cited and at what rank — captured weekly.

02

PlatformLensOnly Plurank

The channel where traffic concentrates

Whether ChatGPT cites you better or TikTok delivers more reach — we tell you which channel to invest in.

03

GeoLensOnly Plurank

Country-level gaps across 12 markets

Why you're visible in Korea but missing in Japan, where competitors are ahead in the US — at a glance.

04

SourceLens

Cited media & communities

Reddit · Hacker News · Allure — knowing which sources AI pulls from sets your PR and contribution priorities.

05

BoostLens

"+N pt if you fix this"

Drop a draft URL and we simulate exactly which parts (schema · sources · structure) to strengthen and how much your score lifts.

Meet Pluora

An AI model that predicts citation probability.

Trained on 192 verified publish-to-citation cases, Pluora takes a single URL and outputs the citation probability (GEO Score) across all 7 AI platforms.

Citation Probability Per-content score
0.0%
Citation probability within 7 days of publishing
Recent content trend
Pluora v0.8 · GEO Score
INPUT FEATURES LATENT OUT
Pluora — Plurank's in-house citation-prediction AI model. URL in → citation probability across 7 AI platforms out.
Forecast horizon7 days
RetrainingWeekly
MAPE8.6%
Real-time Data Foundation 12 countries · 7 platforms
192
verified publish↔citation cases
30M+
BigQuery training rows
12
countries (real ISP IPs)
97.1
avg. GEO Score
Why Plurank

Why we can go all the way to prediction.

Real browser data, ISP IPs in 12 countries, 30M+ training rows — no one else in the world has all three.

Real browser data

Not API estimates or scrapes. We capture exactly what real users see, on ISP IPs in 12 countries.

Screenshot-verified · 192 cases

7 platforms × 12 countries

ChatGPT · Claude · Perplexity · Gemini · AI Overview · AI Mode · DeepSeek — measured concurrently across 5 worker sets and 60 EC2 instances.

Weekly cadence + daily trend pulse

Pluora — pre-publish prediction

Trained on 30M+ publish-to-citation rows, Pluora outputs your AI citation probability as a score, before publication.

Surfer SEO for AI search · MAPE 8.6%
How It Works

From data to prediction in 4 steps.

Every week, we automatically collect data, retrain the model, and forecast the following week's visibility.

01 · Collect

Real-browser capture

Capture answers from all 7 AI platforms in real browsers, on ISP IPs across 12 countries. Automated weekly across 60 EC2 workers.

Tuesdays 03:00 KST
02 · Label

Screenshots + citation extraction

Screenshots, source URLs, rank, text tokens — all loaded into BigQuery and normalized into 248 features.

30M+ rows accumulated
03 · Train

Pluora retraining

Pluora learns publish-to-citation patterns. Weights updated weekly, MAPE 8.6%.

v1 launching · 2026 H2
04 · Predict

Citation probability + guide

Submit a URL — Pluora returns citation probability (GEO Score) for each of the 7 AIs. Low score? It pinpoints exactly which parts to improve and by how much.

Real-time + Mondays 09:00 report
Data Foundation

The training data is the moat.

Every Tuesday at dawn, 60 EC2 workers in 12 countries capture all 7 AI platforms simultaneously and load to BigQuery. That data becomes the fuel for the next model.

192
Verified publish↔AI citations
Traced cases — from 12 client blogs to AI search citations
30M+
BigQuery training rows
Screenshots · sources · rank · text tokens · metadata
12
Countries (real IPs)
US · UK · JP · KR · DE · FR · ES · IT · IN · BR · ID · AE
97.1
Avg. GEO Score
192 published pieces across 12 categories
Global · Partners we work with
🇰🇷
15+ Korean PartnersAscent AI · Samsung affiliates · medical brands
🇯🇵
Tokuyama TradingJapan consumer-goods distribution
🇫🇷
Kozy.careEuropean wellness market
🇺🇸
BridgeLeafUS GTM partner
How We Think About GEO

Six truths we found in the data.

From watching 30M+ publish-to-citation data points each week — what you must know if you're serious about GEO.

01

AI doesn't search — it writes the answer.

AI search no longer returns a list of results. It composes a single answer from multiple sources. So the cited sources are the visibility.

→ Weekly tracking of which sources land in answers across 7 AI × 12 countries
02

One mention vs. core evidence — a 5× gap.

The same line gains very different visibility depending on whether it's a footnote or the main argument. A passing mention isn't enough.

→ GEO Score weights position, context, and accuracy
03

People don't ask in keywords.

SEO meant "Mercedes E-Class price." GEO means "a premium sedan that fits a family of four." A founder, PM, and designer ask about the same product in completely different ways.

→ We learn citation patterns by persona clusters
04

AI doesn't only read your site.

AI doesn't form answers from your domain alone. Reviews, communities, and press citations all count toward the verdict.

→ Weekly mention tracking across 80+ outlets + 5 major communities
05

Content AI can pull from easily looks different.

Volume is irrelevant. What decides citation is format AI can lift directly — schema, FAQs, clean sources.

→ Simulator outputs the exact +N pt gain for each upgrade
06

"Recommending" AI is over. "Buying" AI is next.

Beyond recommendations, AI now compares and executes purchases directly. Exposure shifts from awareness to action.

→ ChatGPT Operator · Perplexity Shopping already in our measurement scope
What You Get · Every Monday

What clients receive — every Monday.

Not just measurement — prediction. Pre-publish citation probability + post-publish monitoring + next-action guide in one place.

01

Weekly visibility report

Your brand's citations, rank, and share of voice across 7 AI platforms × 12 countries — calculated automatically every week. Five-competitor comparison is included by default, with category-level SOV summarized on a single screen.

  • Avg. rank + citation count per platform
  • Country-level share heatmap
  • SOV vs. 5 competitors
Week 17 · 2026-04-21 +5.2pt
ChatGPT
82% · #1
Claude
71% · #2
Perplexity
68% · #3
AI Mode
63% · #4
DeepSeek
58% · #5
Gemini
54% · #6
AI Overview
42% · #7
Overall share of voice62.6%
02

Citation probability + improvement simulator

Drop a URL or draft and Pluora outputs the citation probability for each of 7 AI platforms. If a score is low, the simulator tells you exactly which parts (schema, sources, structure) to strengthen — and how much each will lift the score.

  • Citation probability per AI platform (0–100%)
  • "+N pt if you fix this" simulation
  • MAPE 8.6% (industry-standard accuracy metric)
/blog/post-2026-04 + Simulator
90 60 30 Current 78.2 Initial + Sources + FAQ + Compare + Schema
SUGGESTAdding a comparison table + schema markup is projected to lift citation probability by +18pt
03

Action priorities

"What to publish, and where, to get cited" — the model itself generates a prioritized action guide. Each action shows projected impact (in score points) and difficulty.

  • Auto-generated priority actions per platform
  • Projected impact (in points)
  • Difficulty · time estimate
Priority Actions · 4 items +8.4pt projected
P1
Publish official comparison pagePerplexity favors comparison content — show your edge over competitor K
+3.2pt2 days
P1
Add FAQ schema markupAI Overview citation rate 38% → 60% projected (less Reddit reliance)
+2.8pt4 hours
P2
Open-source 3 case studies on GitHubClaude favors code & verifiable evidence
+1.6pt1 week
P3
Strengthen hreflang on docsJP/DE market visibility +12% projected
+0.8pt1 day
04

Screenshot evidence

We attach the actual screen captures from each AI answer. Cited sources are highlighted automatically — ready to drop into reports or executive presentations.

  • 7 AI × 12 countries = 84+ screenshots/week
  • Auto-highlighted citation sources
  • Direct download as PNG · PDF · BigQuery
chatgpt.com · US · Apr 21
Tell me about the Mercedes-Benz E-Class
The Mercedes-Benz E-Class is a premium sedan from Stuttgart, Germany. The 2026 model introduces mild-hybrid technology and the MBUX Superscreen. Versus rivals like the BMW 5 Series and Audi A6, it leads in ride comfort and interior finish.
1 mercedes-benz.com 2 motortrend.com 3 mbusa.com/e-class
How We Work · Four Engagement Models

Start today, or plug us into your company-wide systems.

Four entry points — Consulting · SaaS · API · AI Agent — sized to your team and goals.

Live · Start today

Consulting

Enterprise · Global brands

Our team delivers 5 Lens analysis + an action guide weekly. Fastest path to results.

~$45K setup + $5K–6K/mo
2026 H2

Plurank.app · SaaS

Mid-market / In-house teams

Use 5 Lens self-serve. Drop a keyword, get scores and guidance instantly.

Monthly subscription · 3-tier
2027

Plurank API + MCP · DaaS

Enterprise / AI engineering teams

Feed citation and recommendation data directly into your in-house AI systems. A company-wide intelligence layer.

Custom quote
2028

Plurank.AI / .TEAM · Agent

Every company

Autonomous agents handle analysis, simulation, and content generation. CMO Agent leads the team.

Pre-register
FAQ

Six things people ask most about Plurank.

How is GEO different from SEO?

SEO targeted "ranking on the first page of search." GEO targets "being cited inside answers from ChatGPT, Claude, Perplexity, and others." As AI synthesizes answers from multiple sources, becoming a cited source matters more than ranking.

How accurate is the Pluora model?

Trained weekly on 30M+ "publish-to-citation" data points captured by 60 workers across 12 countries on 7 AI platforms. Mean Absolute Percentage Error (MAPE) of 8.6% — at industry-standard accuracy.

Why measure 12 countries simultaneously?

Same query yields different answers in Korean ChatGPT vs. US ChatGPT. Global brands must see all 12-country answers in parallel to act precisely.

What's different from existing solutions?

Most existing tools track either social or AI search alone, in a single market. Plurank unifies both across 12 countries × 12 channels and predicts citation probability before publishing.

How long until I see value?

From the first week after the consulting contract — your first 5 Lens report. SaaS launches H2 2026 for instant self-serve.

What does the free diagnostic include?

Send a content URL, get back the per-AI-platform citation probability + a score-improvement guide — free, in about 3 minutes.

Free Diagnostic · Results in 3 minutes

See your content's AI citation probability —
free, before you publish.

Send us a URL of an upcoming or existing piece. We'll return the citation probability for each of 7 AI platforms plus an improvement guide — at no cost.