Where they look So where does our brand stand right now?

We open every place
your buyers open

What shows up, what sits empty. We write down what we found.

The places buyers open are already settled. Search boxes and maps, social and shopping, video and reviews, communities, and the answers AI hands back.

We check each one for your brand name, and we put your rivals on the same footing.

Ads come after that.

Search and maps, social and shopping, video and reviews, communities, and AI answers, read in one place.
Same question, every time What do you measure it against?

We set the baseline before we start

We ask the same question the same way, over and over. Then we check one place at a time for your brand inside the answer.

SearchMapsSocialShoppingVideoReviewsCommunitiesAI answers
Where your brand shows up Where nothing shows yet
01 — 06

Get the map before you move

010203 040506
01So where does our brand stand right now?
02What do you measure it against?
03And the empty places — who fills those?
04If we pause the ads, do the leads stop too?
05After the fix, what do we watch?
06So what do we do first?

In the places buyers look for you, we read what shows up and what sits empty.

Where they look
Found, not sold And the empty places — who fills those?

CiteAngle fills the empty places

  1. 01

    Ad production

    Concept, shoot and edit, in house

  2. 02

    Ad operations

    Search, social and display accounts, run daily

  3. 03

    Social operations

    Channel planning and day-to-day posting

  4. 04

    Influencers and creators 10,000+

    Nano to a million followers · YouTubers and public figures across markets

  5. 05

    Seven markets

    Korea · United States · Japan · China · Thailand · Vietnam · Brazil

  6. 06

    SEO and AI answer optimization

    So search and AI answers find you first

  7. 07

    Live group buying

    Broadcast and group buying as one run

  8. 08

    Big data analysis

    Media, measurement and your own data in one ledger

  9. 09

    Revenue and awareness, pushed

    We read impressions, CTA and sales apart, then pick the one to lift

  10. 10

    Massive trend building

    The same topic moving across channels at once

The video and the words that go in those places — CiteAngle makes them, then runs them through ads and real accounts.

Pull, don’t push If we pause the ads, do the leads stop too?

We build the mornings that arrive when the ads are off

Two companies in the same trade. One sees the phone go quiet the day after the ads stop. The other still finds new inquiries stacked up each morning in a month it spent less. CiteAngle builds that second morning before the ads go on.

Found without ads
by the people looking

We get your name standing in search, AI answers, maps and reviews, and we hold that ground.

Found through ads
on roads they walk

We find the roads your buyers already walk, then make the video and the words that fit them.

Quietly, in numbers After the fix, what do we watch?

We reopen what we fixed and set the next thing to do

We open the same places again after the work. Put the first screen next to today's and you see where the name climbed in, and where it is still quiet. What we found, we write down as it is.

Where our brand
is visible now
We pin down what worked here and take the same move to other places
Where our brand
is still not visible
We check why it is still dark and put it first on the next round

We write both — where the brand shows and where it does not. You need the two together to decide what the next round does.

Three places, three answers

Three countries mean three markets

The same product does not pull the same way in Korea, Japan and the United States. We build for each market on its own terms and run it the way that market runs. Set the three side by side and you can see where to move first.

KoreaKorea
JapanJapan
USAUnited States

One brand name
is enough to start

So what do we do first?

We start the first measurement and hand back what we found, written as it is.

Your rivals go on the same footing, shown right beside you.

Request a brand position check
CiteAngleSix questions

For US marketing teamsSEO · AEO · GEO · AIO · LLMO

We make marketing cost less, sell more.

You already sense which answers name you. We turn it into a map: brand position, who's named beside you, what to fix first.

Public record 226 sourced figures 5 sealed runs

CiteAngle measures whether an AI answer names your brand, then does the work that gets it named. Every answer that names you is a shortlist place you never bought, and traffic you are not renting. The free check takes one to three of your buyer questions to six AI answer places, same business day.

Start with your own market and your own numbers

1 · Pick your industry 2 · Up to 3 questions 3 · We run it for you

Open the snapshot form and pick your industry

This form sends a request, and our team starts the run. What comes back: up to three buyer questions, six places where AI answers show up, one machine-run pass — the format we deliver, on your own brand, at no cost. Sample questions for your trade show up in gray. Anything you type stays yours.

Start an execution program within 30 days of payment and the diagnostic fee is deducted in full.

Measurement region *

Choose one state or Washington, DC within the four US Census regions. Verified regional reporting binds this target to contracted location-capable observations.

Terms · Privacy Notice · Refund Policy

We use the company, work email, domain, chosen state and questions to run the snapshot you asked for. It creates no charge.

01

The problem nowAdvertising costs went up. Growth did not follow.

The spend goes up every year, and no report tells you which screens that money is working on and which ones it is draining into.

If you changed agencies and the numbers came back the same, the problem is the structure, not the method.

363%

Average ROAS — revenue returned per unit of campaign cost

Average across the accounts we ran · as of 2026-09-03

112%

Average revenue growth

Average across the accounts we ran · as of 2026-09-03

0.3%

Average refund rate

Average across the accounts we ran · as of 2026-09-03

A rank tracker watches one box. People run into a brand name on maps, in marketplaces, in delivery apps, in social feeds, in video, in reviews. Those are a lot of places, and the box is one of them.

The day you lose a position, nothing pings. The rank reads the same as yesterday and the ad numbers hold. What changed is whose name a customer sees first on that screen.

So the first round holds off on the verdict. Before we call a number good or bad, we write down what we confirmed: the screens where you stand in front, and the screens where another name does.

What we report is observed change. We write down how often your name comes up in search and in AI answers, and next to it the traffic and conversions recorded in your GA4. Your product and your market set revenue together, so those two stay on separate lines.

Why now

On Google and on Bing, the top of the page now opens with an AI answer. That is AI Overviews on Google and Copilot on Bing. People bring small questions and large decisions to these tools, and the habit keeps growing. Inside that answer there are brands that appear and brands that do not. The market splits along that line.

You can hold rank one and still lose the click . Several published studies report fewer clicks on the top page once an AI summary sits above it. The ranking did not move. The eye did. Direction · published research · 300,000 keywords measured
One in ten adults worldwide already talks with AI . That comes from a published analysis of 1.5 million real conversations. More than seventy percent of them sat outside work. What to buy and who to hire gets decided in those conversations too. Direction · primary data · OpenAI published research (2025)
The answer seats are taken . Whose name is the answer on that screen right now? We check the US screens one at a time. The seat is filled. What is missing is your name in it. Our measurement scope · US screens covered

We show it from fifteen angles, across the 20 screens where a brand name can appear. For each question we write down whether your name was in the answer, which URL was cited as the source, and how many times a competitor got called. One table. Our measurement · screens we read in the US

See what gets fixed first →

So the first thing we check is who is standing in front of you.

A bright office desk: ad invoices stamped PAID beside a glass panel whose grid is empty but for one large question mark.
The invoice arrives exact every month. The map that shows where you stand is blank. Illustration.

What the gap costs. If nobody reads those answers back, you lose the shortlist without ever seeing the screen that decided it, and no dashboard turns red. Every reading is sealed with its conditions and your competitors are read side by side with you in the same run, which is why a figure from us can still be checked the following year.

The second bill comes due a year later. Without a dated baseline, any improvement you make has nothing to be measured against, so a win is indistinguishable from a good week and the budget argument restarts from zero every quarter. Without that second look you risk losing a quarter to a gain that never left one engine. We read 21 engines on 20 surfaces for that reason, so a gain on a single engine is never sold to you as a trend. The same protocol covers Korean and Japanese answer surfaces, which means a US brand expanding keeps one measurement standard at the border.

Offline, nobody signs a lease without walking the block first, because the trade area decides the business. Online, almost nobody does. CiteAngle counts whether US buyers and AI can name and cite your brand across search results and AI answers, and who is named beside you. Then it turns that proof into the pages to fix first, the sources to earn, and matched remeasurement.

51%

of surveyed B2B software buyers now start research with an AI chatbot more often than with Google

G2 The Answer Economy · n=1,076 · March 2026 · G2 itself has a stake in AI-search visibility

The answer usually comes back as a shortlist, so your brand and the rivals it names are measured side by side in the same answer — same question, same run. You see who owns each buyer question, engine by engine.

Read on its own

Google AI Overviews

The AI summary that now sits at the top of US Google results. We read it as its own place, kept apart from plain search rank.

Engines we name

Answer engines

ChatGPT, Perplexity, Claude and Gemini now answer buyer questions before a link gets clicked — each read on its own rail.

The unit we measure

Cited & named

Getting picked up and cited is a win of its own — the one we count question by question, engine by engine.

Each finding lands as one clear move: the question, the place it ran on, the source to earn and the page to change. We read it before and after on the same panel, each place on its own denominator — the count we divide by.

Every term above is defined on one page — what the words mean. To see how the tools line up side by side, read how to choose one.

Search rewrites the recommendation
Turn search on for a product-recommendation prompt and 80.2% of the named products change. Only 15.8% of the ones that showed up without search stay — read across 20,000 replies (Visibility Labs / Search Engine Land, 2026-06). So we count the two as separate observations, each on its own line.
The AI answer starts a chain
In a survey of 622 US B2B buyers (519 of them AI users), 92% said AI shapes the vendor shortlist and 83% said it shapes the final call. Then 71% visit the vendor site and 63% check again on Google (Semrush, 2026-07). Use-case fit (53%) beats brand awareness (7%) as the reason a vendor is trusted from an AI answer. So there are two gates — the read, and the proof on your own site — and the work is built for both.

The panel is written for the market, not lifted from a corpus. Public sets of AI chat logs lean hard toward English — 78% of turns in LMSYS-Chat-1M (arXiv 2309.11998) and 92.35% of ShareGPT chats (arXiv 2405.01470). Even then they mirror global chat use, not the buyers in any one market. So we write the en-US panel from scratch, in US buyer wording, for your line of work. Each market gets its own panel in its own language, built from how people there really ask — never a translation of another market's set.

US buyers now ask an AI before they click

AI answers 10 ChatGPT · Perplexity · Claude · Grok · Gemini · Google AI Mode · Google AI Overviews · Bing Copilot · DuckDuckGo Search Assist · Meta AI model answers
Search 4 Google Search · Yahoo Search · Bing Search · DuckDuckGo Search
News 2 Google News · Bing News
Video 2 YouTube · Google Short Videos
Shopping 1 Google Shopping
Social 1 X search

02

Who is already thereThose positions are taken

Screens a name can appear on

the United States81
Korea102
Japan92
Total275

Screens in the United States that can carry a name: 81

Shopping

  • Amazon
  • Walmart
  • eBay
  • Temu
  • Target (target.com)
  • Home Depot (homedepot.com)
  • Kroger (kroger.com)
  • Sam's Club (samsclub.com)
  • TikTok Shop
  • Costco (costco.com)
  • Best Buy (bestbuy.com)

AI answers

  • ChatGPT
  • Gemini
  • Copilot
  • Meta AI
  • Grok
  • Claude
  • Character.ai
  • Perplexity

Social

  • WhatsApp
  • Snapchat
  • X
  • Threads
  • Bluesky
  • Truth Social
  • Pinterest
  • LinkedIn

Browsers

  • Chrome
  • Safari
  • Edge
  • Firefox
  • Brave

Search

  • Google
  • Bing
  • Yahoo!
  • DuckDuckGo

News & PR

  • businesswire.com
  • onrec.com
  • prnewswire.com
  • newswire.com

Reviews & Reputation

  • Better Business Bureau (bbb.org)
  • CarGurus
  • cars.com
  • The Knot

Delivery

  • DoorDash
  • Uber Eats
  • Grubhub
  • Instacart

Maps

  • Google Maps
  • Apple Maps
  • Waze
  • Tripadvisor

Communities

  • Discord
  • Nextdoor
  • medium.com
  • Quora (quora.com)

Video

  • Twitch
  • YouTube Gaming
  • Kick

Voice & OS

  • Google Assistant
  • Siri
  • Alexa

Other verticals

  • Indeed
  • Glassdoor

Social, Video & News

  • YouTube
  • TikTok

App stores

  • Apple App Store
  • Google Play

Booking

  • OpenTable
  • Resy

Wikis

  • en.wikipedia.org
  • Fandom

Podcasts

  • Spotify
  • Apple Podcasts

Built-in AI

  • Google AI Overviews

Reviews

  • Google Reviews

Reviews & News

  • Local news sites

Social & News

  • Instagram

Social, News & Reviews

  • Facebook

Social & Communities

  • Reddit

Academic

  • arxiv.org

These are the screens that can carry a name in the United States. Korea and Japan bring the total to 275, and all of them were picked the same way. A screen goes on this list once it holds more than one percent of web share. The search box is one of them, and so are maps, commerce, social and video.

Right now we read 68 of 275 screens. the United States 24 · Korea 26 · Japan 18, and we add more every round. Another 13 exist and are not yet in this count. No shared data tells us how many people use them, and they go in on the day that number stands.

We do not drop or pad the list to hit a number. A screen goes in when it answers in that country's language and holds more than one percent share. Search share comes from StatCounter, which counts visits that arrived at sites through search. That is a different thing from how many times someone typed into a box. We take the last twelve months and read the middle value.

We sort every screen where a person can meet a brand name into lanes: search, maps, marketplaces, social. Six of them write their own answers, so we took nine law firms and put the same question to each of those six, seven times over. All six already had a name sitting in front. Two of the nine never reached the front anywhere. The other lanes go through the same pass.

The answer seats are taken . Whose name is the answer on that screen right now? We check the US screens one at a time. The seat is filled, and only the name in it is still open. Our measurement scope · US screens covered

CiteAngle does not ask a question once and stop. The roster is dated 2026-08. We ask every question we planned, with none dropped. Then we record how much the answer moves across 20 screens. We ask 21 places and count 20 screens for one reason: a single Google search puts out the results page and the AI Overview separately. The multiplication uses the engine axis, not the screen axis. Full explanation in the methodology.

One CiteAngle Panorama run asks 50 questions across 21 engines, seven times each. Every round locks its settings hash with sha256, and if a re-measurement disagrees, measurement stops there. The same run puts ten competitors on one board. The basis for this spec is in the methodology.

The measurement circuit — screens where a brand name can appearPanorama protocol diagram. One question, asked seven times on each screen. Not a record of an actual measurement.

We find the screens where your name can appear, and we fix them . Which slot on which screen carries the name is drawn in the screen layout model.

In our measurements search and AI did not return the same answer. We measure both, and we grow the places that sell without buying more ads. Ads we read as a record. We follow each one through to the conversion it produced.

See what gets fixed first →

Once you know who is ahead, the question is where to start.

03

Where would you like to startFour places to start

The free check runs one to three of your buyer questions across six places an AI answer shows up, and it starts the same business day you send it.

See what gets fixed first →What is draining, and what gets fixed first
Insights →Which brands the AI answers name, industry by industry
Open a real deliverable →Open a report we actually send clients
Compare audits and programs →What each product costs, what comes with it, how long it takes

Before you choose, here is how much we do ourselves.

USD list prices · Prices exclude applicable sales tax · full list

Each rung reuses the same engines and the same judging rules, so the numbers still line up as you climb.

The first rung is free. Send your scope and a snapshot runs one to three of your buyer questions across six places where AI answers show up. It runs as one machine-run pass, started the same business day you send it. You see the format we deliver, on your own brand, before any money moves.

Same rules, each rung

Deltas only exist on a matched protocol

A month-over-month read only counts as proof when the questions, the places, the repeat count, the judging rules and the Wilson ranges all match. A program re-read runs the wide-angle Panorama grid every month — the same questions, asked the same number of times — so each month's change compares like with like. The math behind the run count is public in why seven runs.

Your baseline exists only once

A past your panel never measured can't be measured later

Answer engines keep changing, and no one can put your query panel to last month's engines. The only record of where your brand stood is the read that ran at the time. The Panorama you run today becomes the t0 each later wave is set against. And the raw data and receipts ledger transfer to you under the engagement terms, so the whole series is yours to keep.

Receipts follow the work

Measurement discipline becomes execution discipline

We sell both measurement and execution. That is why each observation and each move we ship carries a receipt — work orders, before and after captures, URLs and timestamps. Each month closes by reading the change next to your own GA4, Search Console and Bing AI Performance numbers. Those are figures you can add up again in your own accounts.

Proof you can recount yourself

Each number here is on the record — source, date, run.

226

public statements on the registry, each with its source

5

sealed runs, bound to those statements by run identifier

10

AI answer places read on every paid audit

What those counters stand on

AI answers are already deciding who gets found. We measure where your brand stands, fix the pages, and run the campaigns. An auditable baseline you can check line by line: the whole grid run, repeated passes, 95% confidence intervals and hash-sealed receipts. One fixed USD quote. Delivered in days — every number checkable by you, against the receipt. Each statement behind our copy sits on a public claims registry with its source type and its date. The counters above are counted again from that list each time this page loads.

Every run leaves a fingerprint

One tile is one measurement run. When a run closes we take a fingerprint of its setup and its raw data, then fix it in the record. Change one character later and the fingerprint changes.

  • fingerprint

    29a99b178f

    public numbers 10

  • fingerprint

    58189bc36c

    public numbers 6

  • fingerprint

    7b7c880961

    public numbers 4

  • fingerprint

    7cdc663c87

    public numbers 4

  • fingerprint

    8766cc6eb3

    public numbers 4

  • fingerprint

    de16de81ba

    public numbers 4

  • fingerprint

    d939f7ce90

    public numbers 2

  • fingerprint

    dec0836d8b

    public numbers 2

  • fingerprint

    f8d79282b7

    public numbers 2

  • fingerprint

    0402e2739b

    public numbers 1

  • fingerprint

    1d8ad23663

    public numbers 1

  • fingerprint

    2425d42edf

    public numbers 1

  • fingerprint

    26e689bd24

    public numbers 1

  • fingerprint

    53e06f30fb

    public numbers 1

  • fingerprint

    5c6f974473

    public numbers 1

  • fingerprint

    90accd9708

    public numbers 1

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    public numbers 1

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    public numbers 1

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    public numbers 1

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    public numbers 1

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    public numbers 1

See the numbers these runs carry →

  • Words with one fixed meaningmention and citation measured apart — method
  • Denominator disciplineeach rate counts only the asks that came back with an answer we could read
  • The same question, seven timesseven runs per question — why seven
  • Sealed receiptsinterface, model, capture time, settings hash
  • Public claims registry/en/claims — source and date per entry
  • Baselines in the openthe formats we deliver are open on samples

The AI engines we put your questions to: ChatGPT, Perplexity, Claude, Grok and Google AI Mode.

Claims registry statement + source + date Measurement run bound by run identifier Sealed fingerprint a later edit shows Run again same conditions

Seen enough? Same panel, same rules, on your own brand. Get your free AI visibility check →

A marketing agency that turns big data and AI into trends

04

Who builds itWe fill the empty positions

Most of what the analysis turns up has to be made. Out of house that means a slipped schedule and another margin.

Brand position analysisWhere you and your competitors sit on every screen above one percent of web share
Ad + videoScripted, shot and cut in house
Paid adsMedia buying and the daily budget work
SocialChannel planning and day-to-day posting
Creators 10,000+Nano through million-follower, plus YouTubers and household names
Seven marketsUS, Korea, Japan, China, Thailand, Vietnam, Brazil
SEO and AI answersFound first in search and in AI answers
Live commerceBroadcast and group buying in one run
Big data analysisChannels, measurement and your own data in one ledger
Sales and awarenessReach, clicks and sales measured apart
TrendsOne topic moving across channels at once
Full-funnel buildFive stages wired end to end
Site and landingThe path to checkout, fixed
Organic traffic designWe build the paths people arrive on with no ad running, and report that number on its own
Online trade-area analysisWe sweep where people gather outside the search box and list the ones you have not reached
Competitor trackingWhat competitors shipped and where they pulled ahead, in the same place every round

All of this sits inside CiteAngle, so nothing waits in a queue between two companies. Reading where you stand and filling the empty positions happen in one place. What to make, where to run it and how much to spend then come out of that week’s numbers rather than a hunch.

Making search and AI find your brand first SEO·AEO·GEO·AIO·LLMO — we do that part ourselves too. SEO is moving up in the search box. AEO and GEO are being cited as the basis of an AI answer. AIO is entering the summary above the results. LLMO is teaching the language model your name.

Why CiteAngle

Counting whether the brand appeared is where most reports stop. We check what role it was chosen for and which source held that answer up, then turn the actual fix and the next verdict into one work contract.

01 · Reading the competition

Mentions and recommendations stay separate, and we score them inside one answer

On recommend, compare, and purchase questions we separate four things: the brand was recommended, held as a candidate, mentioned in passing, or flagged as something to watch. Competitor mentions and citations of your own pages never get pulled from another screen or another round and added together. The verdict comes from inside a single response.

02 · Evidence and execution

From the competitor's source sentence to the fix URL and the definition of done

For every answer a competitor won, we keep a receipt: the source URL, the domain, the span of the answer, and which round it came from. Each prescription attaches to an exact existing URL or to a brief for a new page. It goes into your report once the owner, the order of work, the deliverable, and the acceptance test are filled in.

03 · Verifying the change

Seven re-asks, control questions, and search and conversion evidence side by side

We ask the same question seven times and record how far the answer moved. Around a change we compare target, held-out, and delayed control questions under the same conditions. Search Console, Bing AI Performance, and the search and AI channels in GA4 get connected side by side without mixing sources. Before and after is measured again under the same conditions and shown as that difference, and the measurement result stays on a separate line from the business outcome.

Which teams get an answer fastest?

If you already invest in search, content, and PR, this is another channel to run only in the sense that a map is another road. It is finding which of the assets you hold enter the AI recommendation path and which drop out. We start with teams whose customers already search and whose competitors are already in the answers.

Buying signal 01

One contract is large, and buyers compare several vendors before choosing

Legal, medical, financial, education, B2B. Categories where a buyer weighs several brands and their evidence before signing. Ahead of brand search volume, we look at the position a competitor holds on the question of who to pick.

Buying signal 02

The site, the content, and the PR assets exist, but the connection is not visible

You watch Search Console and GA4, and you can edit the site yourself. What stays out of view is how your name gets called inside an AI answer. Which URL to touch first, we write down in order.

Buying signal 03

A new product, a new region, or a rebrand needs its first baseline

Right before a product ships, before you enter a region, before the name changes. Miss that window and the ground as it was cannot be measured again. We fix what counts as success before the work starts, then measure again under the same conditions and put the two side by side.

What gets built comes out of the analysis, not a hunch.

04 · Verifiable by you

Numbers you can check for yourself

Each rate we deliver carries hash-sealed receipts you can check against the report. The statements behind our copy sit on a public claims registry with sources and dates. The full method is public. And a free AI visibility check shows the format on your own brand before any money moves.

05

Paid and organicCiteAngle runs both

Attention you buy and attention that finds you are two different jobs. We keep both running.

Two rails on the same axis, side by side
What we compare Paid exposure — ads Organic reach
What it is You buy the slot Your name gets called without paying
Time to show Turn it on today, it runs today It takes time to build
When you stop It stops that day People still arrive that day
Strongest when Launching something new, catching a season, or a screen where you have no presence yet Once it is up, from then on
Where it sits Inventory you pay for Search, AI answers, maps, and communities

Paid and earned run on different clocks. Advertising buys today. Earned reach keeps paying afterwards. CiteAngle runs both directly, which is what makes the traffic between them readable.

  1. Both on one board. People who came through an ad and people who came on their own sit in the same view. Buy media only and you see half of it. Do search only and you see the rest.
  2. Split by tag. Every paid landing URL carries an arrival tag, and traffic without one is read as earned. They separate with the ads still running. Accounts that arrive untagged get tagged in the first week.
  3. Order of operations. Anything priced off recent search volume, brand-search products above all, costs a different amount depending on whether you buy it before or after earned demand grows. Running both sides is what lets you pick the order.
  4. Freed budget moves. Rather than disappearing, it goes onto positions where no name has gone up yet, as pages, video and ads.
  5. Where the two meet. TikTok Spark Ads and Meta partnership ads put budget behind a post that already earned its audience. You find out what works before you pay, then pay to widen it.

Ads we run ourselves

Meta
  • Instagram Feed
  • Stories
  • Reels
  • Explore
  • Shop
  • Facebook
  • Threads
  • Messenger
  • Audience Network
YouTube
  • In-stream
  • 6-second bumper
  • In-feed
  • Shorts
  • Masthead
  • Pause ads
Google
  • Search ads
  • Shopping
  • Display
  • Demand Gen
  • Performance Max
TikTok
  • In-feed
  • Spark Ads
  • TopView
  • Branded Mission
  • Video Shopping
  • LIVE Shopping
Keyword Ads
  • Coupang
  • Product Ads
Brand Ads
  • Xiaohongshu
  • Juguang Feed
  • Juguang Search
  • Shudiao Boost
  • Fugongying Creators

Channels sell in different units: per click, per block of time, per message sent, or per person contracted. We put the four on one table.

Which one you need right now is where we start.

05

How we fix itHow we pick what to fix

Nine angles: competitors, citations, search demand, ad performance, funnel, pages, social, trade area, money. After that, every improvement method we have collected goes onto your pages.

By the Numbers — what one round of the audit actually does

20Screens we read ourselves each round (US)
21Places we put the question to (engines)
7,350Measurement cells filled in one round
10Competitors read from the same answer
7re-asks each, for a 95% confidence interval
14Cities you can set as the measurement base (US)
4Artifacts locked per round so results cannot change later (sha256 seal)

The spec of this audit — seven numbers cover it

Spec dated 2026-08. The full specification is on the pricing page. Each question is re-asked 7 times, and delivery is usually one to three business days after measurement starts. The 275 in the table above are screens where a name can appear; the numbers here are what one round actually reads. Screen count and engine count measure different things, so they stay on separate lines. Cities are a choice you make, and one round measures the ones you picked. The seal is the mark that locks a round's results against later edits.

The same approach covers new AI answer screens as they appear. The moment one shows up citing sources, we provide a pre-commercial baseline (t0) measurement.

Nothing on this list gets picked by feel. Every line below is checked, and every one of them goes into your report exactly as it came out.

  1. Which screens our name comes up on
  2. Whether a citation we won holds
  3. How far into the answer we get named
  4. Whether competitors get named with us
  5. Whether new wording flips the order
  6. Whether our URLs stay cited as the source
  7. Whether the cited base grows or shrinks
  8. Whether whole paragraphs get quoted
  9. What shape of sentence gets quoted
  10. What evidence holds the answer up
  11. How far one question fans out
  12. Which page the quoted sentence came from
  13. How concentrated the citations are
  14. Why the numbers move between readings
  15. Whether question and answer line up
  16. Which outlets the answer goes through
  17. How other languages name us
  18. Which kind of intent picks us up
  19. What tone the answer takes about us
  20. Whether the customer’s words match ours
  21. Where competitors stand right now
  22. How citations split country to country

A-01

Competitive read

Your own numbers alone cannot tell you whether you are doing well. Rivals go into every round.

What we watch
How often your name and each rival's name come up on the same question, on the same screen.
From what data
Each round's sealed question set, and the per-screen observation records.
What you get
Which rival holds which screen, and the order to take them back.

A-02

Citations and reach

An AI answers, and it cites the sources it leaned on. We collect every one.

What we watch
Which addresses show up as sources, and whether they hold across rounds or surface once and vanish.
From what data
The answer text, and the links inside it.
What you get
Sources that hold over time, split from the ones that appeared by chance, and where your own writing belongs.

A-03

Search demand

Ranking first on a phrase nobody types brings nobody in. Demand comes before position.

What we watch
Search volume, seasonal swing, the price of buying the term, how hard the fight is.
From what data
Keyword metrics, autocomplete, related questions.
What you get
A ranked list of terms with real demand that you do not show up for.

A-04

Ad performance

Clicks are not the end of the trail. Money out and conversions back get reconciled in one ledger.

What we watch
Efficiency by channel, response by creative, the path from click to payment.
From what data
Raw records from the ad accounts, and behavior records from the site.
What you get
Which channel and which creative to feed, what to stop, and how far spend can go before it stops paying.

A-05

Funnel

If people arrive and nobody checks out, the path broke somewhere in the middle. We find the spot.

What we watch
The drop at each step, from arrival through page views and cart to payment.
From what data
Site behavior records, page by page.
What you get
The one step that leaks most, and the fixes that close it.

A-06

Content and pages

Good writing in the wrong shape never gets picked up by an AI. A sound argument inside does not save it.

What we watch
Paragraph breaks that let an answer lift a passage, and which passages actually got quoted.
From what data
Your page source, and where quotes landed.
What you get
Which pages to rewrite, in what order, for the writing to reach answers.

A-07

Social

People talk about your brand outside search and AI too.

What we watch
How fast mentions rise and fall, how much of the talk runs warm and how much runs sour, and the share you hold against rivals.
From what data
Mention records from blogs and forums, X, and YouTube.
What you get
Whether this is a month to push or one to collect, and where a complaint started.

A-08

Trade area, online

Offline, you read the trade area before you open the door. Online works the same way.

What we watch
Presence when the question names a city, and rank on maps and place listings.
From what data
Location-tagged questions, and map screen records.
What you get
The spots in your trade area where you are still absent.

A-09

Weight class

Fighting a rival with ten times the budget on their own terms ends one way. Weight comes first.

What we watch
Rival revenue, and the slice of it spent on ads.
From what data
Public filings as the primary source — available only for companies that file.
What you get
Who to meet head on, who to walk around, and the realistic size of your own budget.

How many times each screen cited you out of the questions asked — this is the shape it takes in the report

Bing Copilot16/50
ChatGPT8/50
Perplexity0/50
Report sample. The figures are format examples; your real numbers come from the audit. The yellow branch is a competitor, the blue one is your brand.

See what gets fixed first →

After the fix we read it again under the same conditions.

Five steel dials on a bright bench, labelled search, AI answers, social, ads, trade area. The faces show scale marks only.
One brand, five directions, one scale. Ads get reconciled in a single ledger: money spent against conversions returned. Illustration.
Checked twice under the same conditions, to see how the position moved
Check, decide, build, then check again.
  • 226 numbers with a source attached
  • 21 rounds those numbers came from
06

What moves once it is fixedWe decide which number has to move

Before anything starts we write down what counts as winning: traffic arriving with no ad behind it, steps taken before someone gets in touch, and what the same revenue cost in marketing. At the close we read all three the same way, seven repeats per question, and set the columns side by side. We fix how we judge, not how big the number gets.

Screens carrying
your name
Where your name shows upWritten in the same place every round
Your pages cited
as the source
What the answer cites underneathChecked URL by URL
The gap to
the competition
Distance on the same boardSame question · same conditions
Visits with no ad
behind them
People who arrive on their ownThis number is the report card
Live measurement
275 Screens checked in three countriesthe United States 81 · Korea 102 · Japan 92 · read now 68
7 Times each question is repeatedStrips out a single day’s luck
698 Improvement methods appliedCounted straight from the ledger
7,350 Observation cells filled in one roundand whether we filled as many as planned

Showing the most recent measurement.

Measurement time, model version, settings hash (provenance — the record of where this value came from and how) stays with every round, and every figure we publish goes into the evidence ledger. What the measurement words mean is fixed on the definitions page, one page. We do not use comparatives without a stated scope. Checked 2026-07-28, scope limited to public pages.

Of the 698 improvement methods on the instrument above, 404 are checked one by one by a validator against the rendered page on every deploy. That is the number you can open the page and verify from outside. The remaining 294 check something else: whether the tool that measures the technique is standing on our side.

Industry measurement cases (self-built proof). Anonymized industry measurements, every one registered in the public claim registry. We do not use comparatives without a stated scope. Checked 2026-07-28, scope limited to public pages. The report comes with a completeness manifest that separates planned, observed, failed, and undecidable.

Data protection — CiteAngle seals measurement calls and region selection with sha256 receipts. Free raw data is deleted after ninety days. Paid measurement raw data, reports, and change receipts transfer to the client within the contract scope.

You can check our numbers yourself before you buy. Measurement time, model version, settings hash (provenance — the record of where this value came from and how) stays with every round, and every published figure goes into the evidence ledger. Why we re-ask seven times and how the denominator is calculated are both open. Open the measurement method → Figures and evidence ledger

Our instruments are not the only reading. The AI Assistants and Organic channels in GA4, and impressions and clicks in Search Console, are values that live in your own account, so you can set them next to what we measured. How we settled on the re-ask count is in the Methodology — why we re-ask seven times, with the arithmetic.

The measurement method is in the methodology, the basis for outbound copy is in the public claim registry, and the pre-contract verification steps are in the buyer verification guide. All of it open as it is.

  • The free check covers 6 AI screens · paid covers all 20 screens
  • Recommended, considered, incidental, cautionary — roles kept apart
  • Competitor source sentences and URLs tracked
  • Paid re-asks seven times with confidence intervals and a reproduction receipt (measurement time, model, settings hash)
  • Google AI Overviews measured directly
  • List price published

Get your free AI visibility check

Open the measurement method →

That leaves the price.

An open verification record book: headers for date, item, basis over blank lines, with a seal stamp and blue ribbon.
Every round leaves a record and locks so it can be measured again with the same settings. Illustration.

AI answers are already deciding who gets found. We measure where your brand stands, fix the pages, and run the campaigns. An auditable baseline you can check line by line: the whole grid run, repeated passes, 95% confidence intervals and hash-sealed receipts. One fixed USD quote. Delivered in days — every number checkable by you, against the receipt. Each statement behind our copy sits on a public claims registry with its source type and its date. The counters above are counted again from that list each time this page loads.

  • Words with one fixed meaningmention and citation measured apart — method
  • Denominator disciplineeach rate counts only the asks that came back with an answer we could read
  • The same question, seven timesseven runs per question — why seven
  • Sealed receiptsinterface, model, capture time, settings hash
  • Public claims registry/en/claims — source and date per entry
  • Baselines in the openthe formats we deliver are open on samples

The AI engines we put your questions to: ChatGPT, Perplexity, Claude, Grok and Google AI Mode.

ChatGPT
Perplexity
Claude
Gemini
AI Overviews

Reports, written analysis and Q&A ship without a live meeting. Compare audits and programs →

5

sealed runs, bound to those statements by run identifier

07

What it costsThe diagnostic fee is deducted in full

Start an execution program within 30 days of payment and the diagnostic fee is deducted in full. After payment it usually reaches you in two to four business days. From the start of measurement it is one to three business days, and the first day sets the question list. Quotes and contract replies go out one business day after you write.

An annual contract is 10 months of fee for twelve months of service. Two of the twelve you would pay monthly drop out. That is arithmetic, not a gift. Either way, what arrives each month is fixed in the contract.

Three tiers — questions and price
ProductQuestions askedPrice
Radar5 questions$399
Compass20 questions$1,199
Panorama50 questions$2,599

Get the decision map — Panorama $2,599

Compare audits and programs →

Start an execution program within 30 days and the audit fee comes off your first invoice in full.

Work out your net cost

Last, the questions we are asked most.

Spec and measurement are separate lines here, and we print both. The spec above is what a paid US audit buys. The contract spec for each paid audit is the same shape at every tier: every question on that tier’s panel asked seven times across 21 engine captures, reported across 20 surfaces with a status on every cell. The US reading we have sealed on our own brand is dated July 27, 2026 — 50 questions across 15 answer surfaces, one pass. The seven-run version of that read is the next one scheduled on the US side.

One run is a point estimate, not a number — AI answers vary run to run. That is why each paid audit asks a query seven times and prints the range next to each rate it can. The full case and the math behind the ranges are public in the method.

Japan runs on the same spec. 19 places, every question asked 7 separate times, because a Japanese answer moves the same way an American one does. Where we read: ChatGPT, Perplexity, Claude, Grok, Gemini, Google AI Mode, Google Search, Google AI Overviews, Google News, YouTube, Google short-form video, Bing Search, Bing Copilot, DuckDuckGo search assist, Bing News, Meta AI model answers, X search, Yahoo! JAPAN Search and the Yahoo! JAPAN AI answer — a Japan-only roster, distinct from the US panel above. Spec and measurement stay on separate lines in Japan too. The Japanese reading we have sealed on our own brand is dated July 17, 2026, on a roster narrower than the spec above, so every Japanese figure we quote carries its measurement date and its scope. StatCounter put Yahoo! JAPAN at 6.23% of Japanese search in June 2026. That is a door your Japanese buyers open, and we go in through it with the listing and press work below. The pass mark for the Japanese round is registered before the run, so the line a rate has to clear is set before anyone reads a number. What comes back to you is a ranked list of moves for the Japanese plain-search side, built on those observations.

Press work runs on the same footing. We write the release in Japanese from the start, not as a translation of your English one. It goes out through a Japanese distribution network to Japanese outlets. Each outlet decides what it runs, and a release that gets picked up stays online as Japanese source material that search results and AI answers can both draw on.

08

FAQWhat buyers ask before they sign

What exactly do I get for free?

We check which screens put your brand in front and which ones put another name there, write it up as a proposal, and send the diagnostic report with it. It costs nothing and we do not ask for a card number.

Does it stop at measurement?

The places we find get filled in the same round: the pages to rewrite, the video to shoot, and the ads to run all come out of CiteAngle.

Is the diagnostic fee money I lose?

Start an execution program within 30 days of payment and the diagnostic fee is deducted in full. It does not carry over to a different diagnostic.

How long does it take?

After payment it usually reaches you in two to four business days. The first day sets the question list; from the start of measurement it is one to three business days. Quotes and contract replies go out one business day after you write.

Which screens do you look at?

We look at every screen used in that country that holds more than one percent share. Not only the search box: maps, shopping, delivery, social, video, communities, and reviews. We read 24 of them in the US now, and 81 are on the list. The count we read grows every round.

Who decides which competitors?

We ask you first, then add the names that actually get called alongside you on the same question. The competitor you had in mind and the one you meet on screen are often not the same.

Do you work outside this market?

Campaigns run through local accounts in Korea, the United States, Japan, China, Thailand, Vietnam, and Brazil. Measurement covers Korea, the United States, and Japan the same way.

Can I buy this once and stop?

You can. But what worked only separates out when you read it a second time under the same conditions, so we suggest one more look after the fix.

How do I pay?

Payments from outside Korea run through Paddle. Inside Korea it is Toss Payments. We issue tax invoices.

What do the monthly programs deliver?

Each CiteAngle program measures again every month, and the contract fixes what lands. Competitive Signal ($3,490 a month) sends a wide-angle Panorama read each month — the whole grid, thirty competitors — plus change cards, a written signal memo, that month’s lens reading and the sealed evidence ledger. Growth Operations ($8,900 a month) sends a wide-angle Panorama — the whole grid, thirty competitors — a written decision memo, two winning moves shipped with receipts to prove it, and a recorded briefing each month. Category Leadership ($15,900 a month) adds four moves shipped a month, a monthly pack of work on authority sources, a thirty-competitor position panel and a board-ready deck every month. You can pay by the month or by the year, and both prices are published on the pricing page. A year on the annual plan is billed as 10 months of the monthly price — twelve months of work, 10 months on the invoice. All three are contracted engagements: a person works on your account every month, so each one starts from a written agreement you approve first. Email Q&A with a two-business-day reply runs throughout, on each program.

Why do you ask the same question again?

CiteAngle asks one question many times for a single reason. The same question gets a different answer on each run. Academic work calls a single run an unreliable measurement (arXiv), and practitioner guidance says to attach a confidence interval to a re-asked value (Search Engine Land). Both are already public. Profound, a global AI visibility tool, published its own experiment on its blog: re-asking a question ten times cut the daily noise in citation share by about forty percent (original, 2026-07-08).

How far can I trust the measurement?The report keeps the measurement time, the model version, and the settings hash. That is so you can run it again under the same settings. Citations (where an AI carries your URL as the basis of its answer) come from URL matching, while mentions and sentiment get a separate verdict, and the confidence level is written next to each.
How do I confirm the outcome?We measure before and after under the same conditions, and confirm the observed change. What moved in the measurement and what moved in the business stay on separate lines. Mixed into one line, neither can be checked.
Does this work for a blog or a personal channel?Are you a blogger or a creator? Whether your own writing gets cited in AI answers is measured the same way. Pick "creator / blogger" on the application form (beta).

Read every question →

How many questions we ask, mostly. Radar ($399) asks five branded queries and settles one thing: do the engines know your brand at all. Compass ($1,199) widens to twenty questions across the same 20 places, measured by machine, with a person checking the package before we send it. Panorama ($2,599) runs all fifty across the same 20 places and adds the async commentary layer. That means a written read built from your run, the 15-slide executive brief and email Q&A.

Delivery is fully async. The report arrives on your dashboard — the 15-slide executive brief on Panorama, monthly written decision memos and recorded briefings on programs. Email Q&A comes with a two-business-day reply, on your schedule, in any time zone. Briefings, decision meetings and board talks run the same way. No meeting is needed to make the call.

How can we trust the numbers?

Async, dated, in writing

Reports, written analysis and Q&A ship without a live meeting. Compare audits and programs →

  1. The read runs by itself

  2. Dashboard report

  3. A written read built from your run

  4. Brief for the board

  5. Email Q&A

Panorama: five written steps, no meetingOne rail carries five nodes in order. The final node stays open — email Q and A, answered in writing within two business days.

Best fit

Free visibility check same business day Paid audit the baseline you keep Program work done, then measured again

Request a quote →

About CiteAngle

ARTIFEX Co., Ltd. is the Seoul-headquartered Korean corporation that operates CiteAngle. Registration details and the measurement lead are on the company page.

ItemDetail
OperatorARTIFEX Co., Ltd. — Seoul-headquartered Korean corporation
Hubartiaudit.com
Company pageRegistration, representative, contact

Open a real deliverable before you buy

AI Visibility Reportformat
ChatGPT
Perplexity
Claude
Gemini
AI Overviews

Open a real deliverable →

Three depths, one grid

20places your name can appear all of them read on every paid audit — 7,350 planned observations

5 questions 5 Radar 20 questions 20 Compass 50 questions bar length = buyer questions · each depth asks 21 engines, seven times per question 50

Each place we measure, named

A paid audit runs the whole plan — each question, each run, each place. It reports every planned observation with its status: observed, cited, failed, or indeterminate, which means too vague to call. You see the whole thing, and no observation quietly leaves the count.

7

runs per question — AI answers move, so we catch the swing instead of trusting one reply

Standard on each paid audit

20

places an answer can show up — the full US panel, named in the method

Full set on each audit tier · method in the open

50

buyer questions in a full Panorama, every answer kept with its own status — Compass asks 20, Radar 5

Wilson score 95% confidence intervals on the citation rates we can compute · rules published in the method

The US answer layer, measured surface by surface — 20 major AI and search surfaces, one grid. A surface is one place a buyer reads an answer; an engine is the service that writes it, and one engine can fill two surfaces. One pass is a story, not a read. AI answers move day to day, so each paid audit puts every buyer question to every place on this list 7 separate times and keeps all 7 replies. The swing then becomes a number. Where we read: ChatGPT, Perplexity, Claude, Grok, Gemini, Google AI Mode, Google Search, Google AI Overviews, Google News, YouTube, Google short-form video, Bing Search, Bing Copilot, Yahoo Search, DuckDuckGo search assist, DuckDuckGo organic, Bing News, Meta AI model answers, Google Shopping, and X search.

AI Overviews and AI Mode cite different sources. They are two Google surfaces, not two windows onto one, and the same question can pull a different set of pages into each. So both keep their own line on the list above: work that puts you in one does not carry over to the other on its own, and we report them apart and write the moves for each.

Spec and measurement are separate lines here, and we print both. The spec above is what a paid US audit buys. The contract spec for each paid audit is the same shape at every tier: every question on that tier’s panel asked seven times across 21 engine captures, reported across 20 surfaces with a status on every cell. The US reading we have sealed on our own brand is dated July 27, 2026 — 50 questions across 15 answer surfaces, one pass. The seven-run version of that read is the next one scheduled on the US side.

One run is a point estimate, not a number — AI answers vary run to run. That is why each paid audit asks a query seven times and prints the range next to each rate it can. The full case and the math behind the ranges are public in the method.

Japan runs on the same spec. 19 places, every question asked 7 separate times, because a Japanese answer moves the same way an American one does. Where we read: ChatGPT, Perplexity, Claude, Grok, Gemini, Google AI Mode, Google Search, Google AI Overviews, Google News, YouTube, Google short-form video, Bing Search, Bing Copilot, DuckDuckGo search assist, Bing News, Meta AI model answers, X search, Yahoo! JAPAN Search and the Yahoo! JAPAN AI answer — a Japan-only roster, distinct from the US panel above. Spec and measurement stay on separate lines in Japan too. The Japanese reading we have sealed on our own brand is dated July 17, 2026, on a roster narrower than the spec above, so every Japanese figure we quote carries its measurement date and its scope. StatCounter put Yahoo! JAPAN at 6.23% of Japanese search in June 2026. That is a door your Japanese buyers open, and we go in through it with the listing and press work below. The pass mark for the Japanese round is registered before the run, so the line a rate has to clear is set before anyone reads a number. What comes back to you is a ranked list of moves for the Japanese plain-search side, built on those observations.

We also do the Japanese-side work the reading points at. If you run stores or facilities in Japan, we take the listing work. Yahoo! JAPAN gives owners a free tool for filing facility details, and we do that filing and keep the entry current. What people see on Yahoo! JAPAN Search and Yahoo! JAPAN Maps stays accurate. The same tool counts how often the listing was shown, and it counts the taps on your website, phone number, directions and booking button. It also separates the people who searched your name from the people who found you another way. Those counts pick the next thing we fix.

Press work runs on the same footing. We write the release in Japanese from the start, not as a translation of your English one. It goes out through a Japanese distribution network to Japanese outlets. Each outlet decides what it runs, and a release that gets picked up stays online as Japanese source material that search results and AI answers can both draw on.

Every buyer query ends in one of four states. You rank and the answer carries you. You rank and it names someone else. You are missing from both. Or the answer found you with no plain-search rank at all. Each state calls for a different move, and your own distribution comes from your run.

First we tell you who is in front

Send us a brand name and an email address. We confirm which screens put you in front and which ones put another name there. That comes back as a proposal, with the diagnostic report attached.

Run the free check now FreeDiagnostic report includedUp to 30 percent off

ARTIFEX Co., Ltd. · support@citeangle.com

CiteAngle is the US web-visibility practice of ARTIFEX Co., Ltd.. ARTIFEX Co., Ltd. is the Seoul-headquartered Korean corporation that operates CiteAngle. We read where a brand gets found across search and AI answers, and we run the work that moves it.

Get your free AI visibility check

Google lets you choose preferred sources — the sites you want to see more often in your own results. If our work is useful to you, add citeangle.com there. You can remove it again at any time, and the setting lives in your Google account, not ours.

Set CiteAngle as a preferred source

Four questions reviewers ask before signing

Legal and security reviewers ask the same four questions before they sign. Here are the answers, in the words our contract documents use.

Training data

Do you train AI models on our data?

No. CiteAngle switches on the training and storage opt-outs each AI provider offers. The queries we send carry no personal contact details. The privacy policy names every provider, what it receives, and how long it keeps it.

Client data

Where does our data actually go?

Into your report and the work of checking it. CiteAngle holds each client’s material apart, inside the scope and the time limit the contract sets. A Search Console link is read-only and reaches only the properties you pick. Cut it from the same screen whenever you want. Figures we publish never name a client.

Security controls

How is our data protected?

Storage and processing sit in the Seoul region. We encrypt everything in transit. Every record type has a published retention clock: 30 days for a copy of an email we sent, 90 days for raw free-check measurement, up to 5 years for paid audit evidence, and account details until you close the account. Deletion runs from your account settings, by email, or through a connected Facebook or Instagram account. We publish the security contact in the standard machine-readable place. Report a flaw and you get an acknowledgement first, then the fix in the same thread.

Cost structure

How is the price set?

USD list prices sit on the site. You can read every audit and program price without contacting us. Prices shown exclude applicable sales tax. What you pay for the audit comes off the program that follows. The quote fixes the final amount, and we bill nothing outside it.

Retention clocks — published per record type
Copy of an email we sent
30 days
Raw free-check measurement
90 days
Paid audit evidence
Up to 5 years
Account details
Until you close the account

All four link back to the source documents.

Open the trust center: terms, retention clocks from 30 days to 5 years, and how we check the numbers

Ready to turn US visibility evidence into a market plan? Tell us the US buyer, target state and decision date.

Request a written proposal