AI Citation Audit · Veteran-Owned · SDVOSB · Built by USA Telecom

Know exactly why AI engines aren't citing your business.

Google AI Overviews serve 2.5 billion people a month. Starting this summer, AI agents will conduct your customers' searches for them; no link clicks required. ADAM·CITE measures your full internet presence against the four published pillars AI engines use to decide who to recommend.

If you're not being cited, your competitors are.

Every day a competitor is cited in an AI answer and you're not, a customer's buying decision gets made without you.

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Free No email required Specialist reviewed Read-only
Your instant CITE score
Enter your domain above for a live read of your public site against the four CITE pillars — a real composite score, measured on the spot. No email required.

Why now

The search your customers run is changing.

25%

Projected drop in traditional search engine volume by 2026 as buyers shift to AI answers.

Source: Gartner, 2024

2 billion+

People see Google's AI Overviews every month. Many of those answers never send a click to your site.

Source: Google, Q2 2025

Traditional SEO tells Google where to rank you. AI citation decides whether ChatGPT, Gemini, and Perplexity mention you at all.

Different problems. Most businesses haven't noticed yet.

The CITE framework

Four pillars. One published checklist.

CITE is an acronym for the same four dimensions, scored in the same order, against the same published methodology. Crawlability is fully scored in every audit today; Identity, Trust, and Extractability are rolling out with the v0.2 engine and are marked pending in the report until then. When AI agents search on behalf of your customers, they draw from your domain and from every independent source that mentions your business — reviews, press, forums, directories, community discussions. ADAM·CITE audits both. The four pillars cover the full surface area AI engines evaluate before recommending a brand.

C

Crawlability and Citation Infrastructure

Can AI crawlers reach your site at all? Is the technical foundation in place for extraction?

Why it matters: if AI crawlers can't reach your site, nothing else counts; you're invisible to the model before a word of content is ever read.

  • robots.txt for AI user agents (GPTBot, ClaudeBot, PerplexityBot, others)
  • Sitemap presence and currency
  • WAF allowlist for AI bot IP ranges
  • llms.txt manifest at the site root
I

Identity and Information Architecture

Is your entity (the business, brand, people) clearly defined and consistently represented across the web?

Why it matters: if the model can't confidently tell who you are, it won't risk recommending you over a competitor it can identify.

  • Knowledge Graph and Wikidata presence
  • NAP consistency across third-party platforms
  • Named authors, faculty, founder bios
  • Brand name consistency on the site itself
T

Trust, Topical Authority, and E-E-A-T Signals

Does your site signal expertise, experience, authority, and trustworthiness in ways AI models reward?

Why it matters: if independent sources don't corroborate your authority, the model trusts the competitor the rest of the web vouches for.

  • Structured off-domain citations (Wikidata, government databases, industry associations, accreditation bodies)
  • Earned press coverage and syndicated content (last 24 months, outlet authority weighted)
  • Organic community discussion (Reddit, Quora, vertical forums, YouTube transcripts)
  • Platform entity corroboration (Google Business Profile, LinkedIn, industry-specific review platforms)
  • Backlink profile and referring domain quality
  • Original research and citable thought leadership
E

Extractability and Engagement

Is your content formatted in ways AI models can parse, quote, and cite?

Why it matters: if your content isn't structured to be quoted, the model can't cite you even when you're the best answer on the page.

  • Schema markup quality and coverage
  • FAQ-structured content with proper JSON-LD
  • Citable claims (statistics, dates, named entities)
  • Question-shaped headings matching real user prompts

How it works

Score, findings, fixes. Verifiable at every stage.

Four stages. Each one delivers a complete artifact. Your on-domain score is the floor. The off-domain audit — who is mentioning you, where, and whether AI agents can find and trust those mentions — is the ceiling. ADAM·CITE measures both. The on-page number is an illustrative preview; the scored report the audit engine produces is real, and the findings are verifiable on your own site — the fix is what the paid tier ships. The customer who stops at any stage receives the full value of that stage.

STAGE 01 · $0

Free Domain Audit

Instant

No email · No card

Submit your domain. Get a quick preliminary score and four-pillar breakdown displayed right here on the page. The methodology is published; the on-page number is a directional estimate, and the methodology-backed report is emailed at Stage 02 — Crawlability scored in full, with Identity, Trust, and Extractability rolling out in the v0.2 engine. Every specific finding is gated to the next stage.

STAGE 02 · $0

Detailed Summary Report

Emailed to you

Name & Business email

Five to eight page PDF showing every finding with location and severity. You can verify each finding on your own site. The fix and effort estimate are gated to the paid tier.

Request your Detailed Summary Report — Free →

See a real sample report → (Honey Homes · 11 pages)

"A site doing many things right at the infrastructure layer, with content drift creating measurable citation risk at the moment buyers are most likely to ask AI assistants about the brand."

— from an ADAM·CITE Full Audit Report.

Pricing

The floor is your domain. The ceiling is everywhere else. Pick the engagement that matches the work.

The $59 Full Report is everything you need to do the remediation yourself: every finding, every fix, every effort estimate, the deployable schema templates, the methodology appendix. If you'd rather hand the work to a named human reviewer who signs every deliverable, the Sprint and Digital Growth below are the two engagement models we run. SDVOSB invoicing on request. BAA available for HIPAA-adjacent customers.

Do it yourself

Full Audit Report

Everything you need to run the remediation yourself: every finding, every fix, the deployable templates.

$59one-time

Instant download · up to 30 pages

What you get

  • Every finding with stable IDs, exact locations, and the recommended fix
  • Exhibit C: Competitor Citation Scan summary and Exhibit D: Off-Domain Citation Footprint — arriving with the v0.2 engine, included at no charge when they ship (the full standalone Competitor Scan is available today as the $149 add-on)
  • JSON-LD schema templates and a deployable llms.txt
  • Prioritized action plan and methodology appendix
Get the Full Report

For a targeted answer

Competitor Citation Scan

Find out which competitors are positioned to win the citations you're losing, and exactly why. Run it standalone against any paid engagement.

$149one-time

Full standalone scan · Exhibit C summary arrives in the Full Audit Report with the v0.2 engine

What you get

  • Your top five competitors ranked by the strength of the citation surface AI engines draw from
  • 10 unbranded intent queries — the questions your buyers actually ask — mapped against all four CITE pillars
  • The exact intent queries where a competitor's citation surface beats yours
  • Three prioritized remediation actions
Add Competitor Scan

— OR if you'd rather we do the work —

For a finite problem

Remediation Sprint

Three months. Fixed scope from your backlog. Fixed price. Exit cleanly when the work is shipped.

$499/ month

3-month engagement · $1,497 max exposure

What's included monthly

  • Remediation backlog work, sequenced by impact-to-effort
  • Schema deployment across your four most-impactful types
  • robots.txt configuration and llms.txt deployment
  • WAF allowlist verification for AI bot ranges
  • Content audit fixes (statistics, prose-to-claims conversion)
  • Monthly citation re-test with delta tracking
  • One-page monthly progress brief

Plus

  • Named human reviewer signing every deliverable
  • Direct email to your reviewer (no ticket queue)
  • End-of-sprint walkthrough at month 3
Start the Sprint

Questions before you commit to a Sprint or Digital Growth? Email sales@usatelecom.us and a human reviewer will reply.

Citation baseline · Methodology

We measure AI recommendations the same way every time, across your domain and everywhere else online. And we publish how.

AI visibility without measurement is a marketing word. Here is the measurement, written down.

LLM responses are not deterministic. The same prompt can produce different responses on different days, on different accounts, in different regions. That is why the one-time reports score what is stable and verifiable — your crawl, schema, and citation-surface posture — and why live engine probing, where we run each query multiple times and report the mean with a confidence band, lives in the managed engagements. We tell you what's signal and what's noise. We do not claim 100% accuracy or zero hallucinations. The score reflects what's fully scored today — Crawlability, with Identity, Trust, and Extractability rolling out in the v0.2 engine — nothing more.

Every audit runs a full crawl, schema, and citation-surface analysis of your domain and your off-domain footprint, scored against the published four-pillar checklist — Crawlability in full today, with Identity, Trust, and Extractability rolling out in the v0.2 engine. The Competitor Citation Scan (Exhibit C) adds 10 unbranded intent queries mapped against the citation surfaces your top five competitors own. The Off-Domain Citation Footprint (Exhibit D) covers four signal tiers — structured citations, community mentions, platform entity corroboration, and earned media — audited manually against a published signal checklist and scored on a 0–100 scale. The intent queries are derived from your actual content topics, keyword profile, and the questions your customers ask. We don't run "is your business good" queries. We run queries you'd actually want to be cited in. Live per-engine probing — re-running those queries directly against ChatGPT, Gemini, Perplexity, and Claude and tracking citation deltas month over month — is part of the managed engagements (Remediation Sprint and Digital Growth), not the one-time reports.

A note on the Google AI Overviews shift: As of summer 2025, AI agents are conducting searches autonomously on behalf of users with no link clicks required. The signal set ADAM·CITE audits — on-domain technical readiness, off-domain corroboration signals, competitor citation positioning — is the same signal set those agents evaluate before surfacing a recommendation. The methodology was not built in response to this announcement. It was built to measure what AI engines have always drawn from. The announcement confirms the measurement model.

Honest questions

The questions worth asking.

Is the free audit really free? What's the catch?

There's no catch. The Free Domain Audit at the top of this page returns an instant, illustrative preview — a sample score and four-pillar layout right on the page, no email gate and no card. It's a demonstration of the report format, not a live measurement of your site. The Detailed Summary Report is where the real work happens — free, methodology-backed, a specialist reviews it, and we email it as a real PDF, which is why we ask for a contact email at the verified domain. We're not gating the real audit behind a paywall or a sales call — the free tier is genuinely free.

Why is the $59 report worth paying for if the summary is free?

The free Detailed Summary Report shows every finding with its location and severity. You can verify each finding on your own site. The $59 Full Audit Report adds the fix for every finding, the effort estimate, the prioritized action plan, the JSON-LD schema templates, a deployable llms.txt, and the methodology appendix. We charge for the fix, not for the finding. If you'd rather work the backlog yourself, $59 is everything you need. If you want us to do the work, the Sprint or Digital Growth is the next step.

Sprint or Digital Growth? How do I decide?

Sprint is for customers who want a finite project: three months, fixed scope from your backlog, fixed price, exit cleanly at month three. Digital Growth is for customers who want a program: ongoing remediation plus two pieces of long-form citable content per month, quarterly audit refresh, ongoing reviewer relationship. If your team will keep producing content after the remediation lands, you probably want the Sprint and you'll take it from there. If you treat AI visibility as ongoing infrastructure and want us writing the content that earns citations, you want Digital Growth. Most customers start with the $59 report and decide later.

How accurate is the citation baseline if LLM responses aren't deterministic?

LLM responses vary across days, accounts, and regions, which is why the one-time reports score what is stable and verifiable: your crawl, schema, and citation-surface posture, plus the unbranded intent queries in the Competitor Citation Scan. Live per-engine probing belongs to the managed engagements (Sprint and Digital Growth), where we run each query multiple times, report the mean, surface the confidence band, and re-test monthly. The baseline is useful directionally and across time. It is not useful for measuring single-week fluctuations and we say so on every report.

What is the actual mechanism behind an AI citation?

AI engines cite a page when four conditions hold at once. The crawler can reach it (Pillar C: robots.txt, WAF allowlist, sitemap, llms.txt). The entity is clearly identified across the web (Pillar I: Knowledge Graph, NAP consistency, named authors, brand consistency). The authority signals are real and verifiable (Pillar T: backlinks, press, organic discussion, original research). The content is extractable as citable claims rather than marketing prose (Pillar E: schema, FAQ structure, statistic-anchored claims, question-shaped headings). ADAM·CITE measures all four against a published methodology and hands the customer the deployable fix — Crawlability is fully scored today, with Identity, Trust, and Extractability rolling out in the v0.2 engine. The mechanism is the product. The score is the proof.

Why ADAM·CITE specifically?

At Google I/O 2025, Google announced that AI Overviews now serve 2.5 billion users monthly and that AI agents will conduct searches autonomously starting summer 2025, with no link clicks required. Traditional SEO — optimize your page, build domain authority, rank your blog — is now the floor, not the ceiling.

ADAM·CITE was built specifically for this environment. It is the only audit tool that measures your full citation surface: your domain's technical readiness, your brand's off-domain corroboration footprint across the four signal tiers AI agents draw from, and your competitive citation positioning across the surfaces ChatGPT, Gemini, Perplexity, and Claude draw from. Every finding is verifiable on your own site or in your own search. A named human reviewer signs every paid engagement. No projected revenue lifts. No outcome promises beyond measurable visibility in AI-generated answers. That is what makes it specifically ADAM·CITE.

Does ADAM·CITE only look at my website?

No. Your website is one source. AI engines cite and recommend businesses based on information corroborated across multiple independent sources — Reddit threads, YouTube transcripts, Wikidata entries, press mentions, industry directories, Google Business Profile, LinkedIn, and review platforms.

The Off-Domain Citation Footprint (Exhibit D) scores your presence across four signal tiers — structured citations in authoritative databases, organic community discussion, platform entity corroboration, and earned media — and arrives with the v0.2 engine. In most audits, the largest citation gap is not on the client's website. It is the absence of independent third-party confirmation that the business exists, is credible, and is what it says it is.

The brands that AI agents recommend are the brands that the entire internet — not just their own homepage — confirms.

What is the Competitor Citation Scan and how is it different from a regular audit?

Your ADAM·CITE audit measures your own domain and off-domain presence against the four CITE pillars. The Competitor Citation Scan does something different: it runs 10 unbranded intent queries — the questions your buyers actually ask, with no brand names included — and maps the citation surfaces ChatGPT, Gemini, Perplexity, and Claude draw from, to identify which of your top five competitors are positioned to be cited instead of you — and exactly why.

Most businesses discover the gap is structural: a competitor owns a citation because they have one FAQ page with proper schema, one Wikidata entity entry, or one authoritative backlink the client does not. The Scan shows the exact gap and the exact fix. A summary of the Scan arrives in the Full Audit Report as Exhibit C with the v0.2 engine; the full standalone Scan is available today as the $149 add-on to any paid engagement.

Will this work for my industry?

The audit is built for general web presence health and works for most B2B, DTC, educational, and professional services businesses with a substantive web property. Regulated industries (healthcare, legal, financial services, defense) have additional citation patterns and compliance considerations we address in the Digital Growth with a named reviewer and a BAA where applicable.

Refunds, cancellations, ongoing audits?

$59 report refunds: if the report doesn't deliver what's promised, email us within seven days and we refund without argument. Sprint cancellation: cancel anytime mid-engagement; pay only for completed months. Retainer cancellation: month-to-month, cancel anytime. Re-audits: you can re-run the free audit anytime. The paid report is a one-time purchase per audit. Ongoing audits live in the Sprint and Retainer tiers.