United States AI Search Visibility
A 4,900-cell auditable baseline with repeated runs, 95% confidence intervals and hash-sealed receipts. One fixed USD quote. Delivered in days — every number checkable without trusting us.
Your customers open ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews and ask who to trust — and the answer is assembled before anyone reaches your site. CiteAngle measures whether US buyers and AI systems can name and cite your brand across search and answer surfaces, then turns that evidence into priority pages, authority assets and matched remeasurement.
Every finding lands as a specific action: the query, the surface, the source to earn and the exact page to change — measured before and after on the same panel, each surface on its own denominator.
We run the same query across US search and AI-answer surfaces, then classify it. The four states below are how we read the crosswalk between where you rank and whether the AI answer carries you — so the next action is obvious for marketing, content, PR and leadership.
Your page is findable in search but the AI answer names someone else. The transfer from search equity to AI citation has not happened — a prioritized fix list.
You rank and the AI answer carries your brand or cites your page. A defended position to protect and remeasure.
Neither search nor the AI answer surfaces you. An entry backlog — often where low-competition demand is still open.
The AI answer carries you even without an organic rank — evidence that citation is driven by more than position, and worth reinforcing.
This is the classification framework we apply to your measured queries — your brand's actual distribution comes from your own run, delivered in the Compass and Panorama reports.
A paid audit runs the full grid — every query, every repeated run, every surface — and reports each planned cell with its status: observed, cited, failed or indeterminate. You see the whole measurement, and every cell stays in the denominator.
AI answers vary run to run. A single run is a point estimate, not a number — so we run every query repeatedly and publish the confidence interval next to every applicable rate. You see how solid each number is before you act on it.
Profound, a global AI-visibility tool, explains their once-a-day reading methodology on their official blog — and their own experiment found that ten repeated runs cut day-to-day noise in citation share by about 40% (Profound blog, 2026-07-08).
An academic analysis finds single-run AI-visibility measurement “fundamentally unreliable” (arXiv 2603.08924); a second study measures LLM outputs shifting by 10–34% from sampling alone (arXiv 2601.21339); trade guidance recommends repeated measurement with confidence intervals reported alongside (Search Engine Land, 2026-06-10).
Pew Research Center measured US Google visits: users who encountered an AI summary clicked a traditional result link on 8% of visits versus 15% without one — and clicked a link inside the summary on just 1% of such visits (Pew Research Center, 2025-07-22). And G2’s The Answer Economy report — from G2, which itself has a stake in AI-search visibility — finds 51% of surveyed B2B software buyers now start research with an AI chatbot more often than with Google (n=1,076, March 2026 survey; announcement).
One run can only say “somewhere in a very wide band.” Repeated runs shrink the band — which is why every applicable rate in a delivered report carries its measured Wilson 95% interval and effective sample size, published at whatever width it comes out. Computed with the Wilson score interval (z=1.96); the vertical mark is the fixed example rate. Full protocol in the methodology.
Our own protocol — seven repeated runs, Wilson 95% confidence intervals, interval widths published as they come out — is documented in the methodology, and every external figure above is listed with its source and reference date on the public claims registry.
Google announced at I/O 2026 that AI Mode reached 1 billion monthly users within its first year, with query volume more than doubling each quarter (Google’s own announcement, 2026-05-19 — blog.google; platform self-reported figure). The surface your buyers read is no longer an experiment — and where your brand sits on it can be measured, sealed and remeasured on the same panel.
Bing is a substrate, not just one surface
Bing isn't one surface. Its index supplies Yahoo Search results under a long-standing partnership (Search Engine Land), underpins Microsoft Copilot, and — by multiple industry analyses — still influences which sources ChatGPT search surfaces. Our US panel measures Bing and Bing Copilot directly, each on its own rail; sources and reference dates for both statements sit on the public claims registry.
On the screens where buyers search and ask, the places your brand can land are finite. The gold marker below is your slot — we measure each one, query by query and run by run, and show where you already appear and where to build next.
1 named in the AI Overview · 2 cited as an Overview source · 3 organic rank — three slots that move independently, so we measure them apart.
4 named in the recommendation · 5 cited as the answer's source — measured on each engine's own rail.
Answer engines pull from independent surfaces — we check whether your evidence is present, correct and retrievable across all of them.
Layout schematic — each panel simplifies a real screen. The full measured set (14 engines) is published in the methodology; where your brand sits today is answered by a free snapshot.
An edited glimpse of the delivered format, not a stock mockup. Your run fills it with your own measured evidence; the full deliverable list lives on the services page.
Illustrative layout — the ring, bars and cells show the report's shape and are filled with your measured evidence on delivery.
Start light and climb only as far as the decision requires — every step reuses the same engines and the same judging rules, so the numbers stay comparable.
Step height is a diagram of product depth; USD prices and scope are set by the services page and your quote.
A month-over-month read is only evidence when the queries, surfaces, repeated runs, judging rules and Wilson intervals match. Program remeasurement runs the same grid as the standalone Panorama — so a quarterly delta compares like with like. The statistics behind the run count are published in why seven runs.
Answer engines keep changing, and no one can put your query panel to last quarter's engines — the only record of where your brand stood is the measurement that ran at the time. The Panorama you run today becomes the t0 every later wave compares against — and the raw data and receipts ledger transfer to you under the engagement terms, so the time series is yours to keep.
We sell both measurement and execution, which is why every measured cell and every executed move carries a receipt — work orders, before/after captures, URLs and timestamps — and quarter close reads the measured delta next to your own GA4, Search Console and Bing AI Performance numbers, figures you can recompute in your own accounts.
Everything ships without a live meeting. The measurement grid is self-serve and automated; the expert layer is delivered in writing and on your schedule.
Your query panel runs across the surface set with repeated runs — no calendar, no waiting room.
The full grid, per-surface receipts and the SEO×AI crosswalk publish to your dashboard.
An expert writes the read: what to fix first, which evidence to build, in what order.
A recorded walkthrough of the findings and priority targets — watch it on your own time.
Follow-up questions answered by email with a two-business-day response commitment.
We read past "did the brand appear." We name the role it was given, confirm the sources behind the answer, and connect the finding to the exact page or asset to change — then remeasure the same panel.
In recommendation and comparison prompts we separate whether a brand was recommended, weighed as an option or noted in passing — and we read competitor mentions and your citations inside the same answer.
When a competitor wins an answer, we log the source URL, domain, answer span and run index. Each prescription attaches to a specific existing URL or a new-page brief, with owner, sequence and acceptance criteria before it reaches your report.
We repeat every query to capture variation, register the comparison before we measure, and bring your own Search Console, Bing and GA4 evidence in alongside the external read.
Every delivered rate carries hash-sealed receipts you can compare against the report, the statements behind our copy sit on a public claims registry with sources and reference dates, the full protocol is published, and a free snapshot shows the format on your own brand before any money moves.
The teams that get the most from this already have search, content or PR investment — and a buyer who compares options before choosing.
SaaS, professional services, healthcare, finance and B2B — where a US buyer weighs several brands and their evidence before committing. The question is who owns the answer, not who has the most brand searches.
You have Search Console, GA4 and a site you can change. Now see your role and sources inside AI answers — and exactly where that investment already carries into them.
A market-entry benchmark, a competitor-displacement target, a misinformation check or an executive report — bound into one measurement contract with acceptance criteria fixed up front.
A same-day automated read across six AI engines on one to three of your buyer questions — where your brand shows up today, at no cost. It is the fastest way to see the format on your own brand before a paid audit.
Compass ($900) runs a 1,260-cell grid across nine surfaces and delivers fully automated. Panorama ($1,900) runs a 4,900-cell grid across fourteen engines and adds the async expert layer — a written decision memo, a recorded briefing and email Q&A.
Delivery is entirely async. You receive the report on your dashboard, a written decision memo, a recorded briefing video and email Q&A with a two-business-day response — on your schedule, in any time zone. If you do want live sessions — an executive briefing, monthly decision meetings or a board presentation — the Expert Live add-on attaches to any tier from Panorama up, quote-based.
Every program runs on a monthly rhythm, not a quarterly black box. Competitive Signal ($6,900 per quarter) delivers a signal measurement, change cards and a written signal memo every month, then closes the quarter with a full Panorama and a decision deck. Growth Operations ($19,900 per quarter) delivers a full Panorama, a written decision memo, two executed winning moves with completion receipts and a recorded briefing every month. Category Leadership ($34,900 per quarter) adds weekly signal runs, four executed moves a month, a monthly authority-source campaign pack and a board-ready quarterly deck. Email Q&A with a two-business-day response runs throughout, on every program.
Three ways, all in your hands: every delivered cell carries a hash-sealed receipt — interface, model, capture time and settings — that you can check against the report; every public statement behind our copy is listed with its source and reference date on the public claims registry; and a free snapshot shows the measured format on your own brand before you spend anything. After delivery, matched remeasurement reruns the same panel under the same protocol within the validity window stated in your delivery documents — a gap that appears outside that window is read separately as drift measurement, because the engines themselves keep changing.
We measure exactly where you are cited and named today, identify the sources and pages behind each answer, and hand you a prioritized action plan with owners and acceptance criteria. Movement is confirmed by matched remeasurement on the same panel — you own an evidence trail, answer by answer.
Paid audits deliver in one to three business days after measurement starts, once the repeated runs and the delivery-package review complete.
Yes. A quote-based 50-state + DC extension maps state-level opportunity on its own denominator, read alongside the national baseline.
Every engagement is quote-first: the proposal fixes your USD price, the approved payment rail and the refund route before you pay. All prices are independent US-dollar list prices.
Read the full FAQ — measurement protocol, contract deliverables and data handling →
CiteAngle is the United States AI-search visibility practice of ARTIFEX Co,. Ltd., led by Jay Sim. We measure how US buyers and AI systems name and cite brands across search and answer surfaces, and turn that evidence into governed action: priority pages, authority assets and matched remeasurement.
Every engagement is quote-first and delivered async — automated measurement plus a written expert layer. Reach us at mktartifex@artiaudit.com; the full registered business identity appears in the footer of every page.
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