CEXRES Neural Engine™ · Proprietary inference, scoring & retrieval stack
The operating system
for AI-era brand visibility.
CEXRES measures how answer engines read your brand — the crawler access we can verify and the answers those engines actually return — repairs the machine-readable structure they cannot parse, and proves the delta against a public benchmark anyone can cite.
AI VISIBILITY INDEX
2026 cohort study31.5OF 100
Cohort median
84% of the measured cohort scores below 50 — structurally invisible to answer engines.
Eight weighted dimensions · 100 points · re-measured each cycle
Score distribution
0–19
20–39
40–59
60–79
80–100
Share scoring zero, by dimension
Structured entity
77%
Authority anchors
71%
Freshness
59%
/llms.txt
46%
Content depth
36%
Answer readiness
20%
Crawler access
5%
Retrievability
2%
Measured by CEXRES Neural Engine™ · CC BY 4.0Method & data →
RICE™ 2.0 FRAMEWORKLearn more →
NEURAL ENGINE™Learn more →
Zero-Human Protocol™ — delivery runs end-to-end without a human in the loop.
First-tier service · GEO / AEO
Be the brand AI cites first.
Engineer your visibility across the seven answer engines buyers actually ask — ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok and Google AI Overviews — then become the definitive answer they extract. Measured share-of-voice, delivered by agents, priced transparently.
One-time audits from $2,490 · managed growth from $7,490/mo · no annual lock-in
51%
of B2B software buyers now start vendor research inside an AI chatbot rather than Google
G2, Answer Economy 2026 · n=1,07614.2%
conversion rate on AI referrals, against 2.8% on Google organic — a 5.1x gap
Exposure Ninja 2026, as reported7
answer engines scored on every scan: ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok, AI Overviews
CEXRES engine inventory · method