Measured AEO case study

Atomic Television AEO case study: from 30/100 to 61/100

This case study documents how Atomic Television, a Las Vegas production company, strengthened its AI visibility foundation between September 16 and October 22, 2026. The stored Click Elevate score moved from 30/100 to 61/100, while AI crawler access moved from 75/100 to 100/100.

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Business: Atomic Television
Location: Las Vegas, Nevada
Service area: Southwestern United States
Latest measurement: October 22, 2026

Business entity and context

What is Atomic Television?

Atomic Television is a full-service video broadcast production company based in Las Vegas, Nevada, serving the Southwestern United States. Its public website describes corporate, sports, music, live-event, broadcast, streaming, audio/visual, and multi-camera capabilities. The baseline problem was not a lack of business substance; it was that the substance was not yet consistently connected into the evidence graph AI systems need in order to recognize and recommend a specific production company.

4/100

AI Citation Presence at baseline

The business was not consistently recognized as a specific, recommendable entity.

40/100

Schema at baseline

The entity and service relationships were only partially machine-readable.

75/100

Crawler access at baseline

The site was reachable, but the delivery layer still had a measured gap.

Measured score change

What changed in Atomic Television's AEO score?

The table below keeps the composite score explainable. Each area represents a different part of AI discoverability: whether the business is reachable, machine-readable, answer-ready, recognized, and independently corroborated.

Atomic Television AEO score by area, comparing September 16 and October 22, 2026
AEO area	Baseline	Latest	Change	What it represents
Overall AEO score	30/100	61/100	+31	Composite visibility foundation
AI Citation Presence	4/100	58/100	+54	Recognition and connection to the business
Schema & Structured Data	40/100	65/100	+25	Machine-readable business and service facts
Content Answer-Readiness	51/100	51/100	0	Direct, extractable answers for customer questions
Authority & Citations	17/100	50/100	+33	Independent corroboration and trust evidence
AI Crawler Access	75/100	100/100	+25	Reachability, robots policy, and llms.txt delivery

Baseline: September 16, 2026. Latest stored run: October 22, 2026. Scores are Click Elevate system measurements, not third-party certifications.

Methodology

How was Atomic Television's AI visibility measured?

Evidence used

• Public website pages, rendered HTML, metadata, and visible business content.
• JSON-LD and structured-data checks for the business and its services.
• Live response, robots.txt, and llms.txt delivery checks.
• Click Elevate's stored AEO area scores from September 16 and October 22, 2026.

Evidence not included

• No Google Analytics, Search Console, CRM, or revenue data was used in the 61/100 score.
• A score does not equal a Google ranking, AI citation, enquiry, booked production, or sale.
• The scanner-generation change means the before/after comparison should be read directionally.
• The next measurement should use the same prompt set and record qualified actions separately.

Verified delivery evidence: The October 22 live check found /llms.txt at 200 OK, text/plain, 2,248 bytes, with business identity, services, contact details, location, and authoritative page links.

Implementation

What changed to improve Atomic Television's AEO foundation?

Make the production company legible to AI

Atomic already had substantial real-world capability: broadcast, sports, music, corporate, live events, streaming, and multi-camera production. The work focused on expressing those offers as connected, machine-readable business facts.

Schema & Structured Data: 40 → 65Read the guide

Turn services into answer paths

The latest scan still identifies content answer-readiness as the limiting area. Each commercial service page needs direct answers about who it serves, what is included, where Atomic operates, how the process works, and how a buyer starts a conversation.

Content Answer-Readiness: 51 → 51Read the guide

Build corroborating authority

The baseline authority score was 17/100. The case study separates independent business references, partner proof, service-specific content, and consistent identity from first-party claims on the company website.

Authority & Citations: 17 → 50Read the guide

Measure the same visibility foundation again

The latest stored run included live website and crawler checks. Atomic's current llms.txt is present, served as plain text, and contains identity, services, location, contact details, and authoritative page links.

Overall AEO score: 30 → 61Read the guide

Next actions

What should Atomic Television do next?

Content answer-readiness is now the measured constraint. The highest-value next work is page-level: make each commercial service page unmistakably answer who Atomic serves, what the production includes, where the team operates, and how a buyer starts a conversation.

Prioritize

Corporate, sports, music, live events, broadcast, and streaming service pages.

Answer

Add visible service, audience, geography, process, proof, and conversion blocks.

Re-measure

Run the same prompt set again and connect visibility to qualified enquiries and booked calls.

FAQ

Atomic Television AEO case-study questions

What was Atomic Television's AEO score?

The stored Click Elevate AEO score was 30/100 on September 16, 2026 and 61/100 on October 22, 2026. The comparison is directional because the scanner generations differed.

What improved the most?

AI Crawler Access moved from 75 to 100, Authority & Citations moved from 17 to 50, and Schema & Structured Data moved from 40 to 65. Content Answer-Readiness remained 51 and is the next constraint.

Does a 61/100 score guarantee AI citations or leads?

No. It is an internal measurement of the visible AEO foundation. AI answers, rankings, enquiries, and revenue must be measured separately with repeat prompts and connected analytics or CRM events.

Was Google Analytics used in this case study?

No. GA4 can measure AI-referred traffic and conversion events when connected, but it cannot prove that an AI model mentioned Atomic Television. That requires prompt-level visibility evidence.