Generation ≠ publication
Every output stops as a draft; a human review gate decides what goes live.
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PVL NEXUS / PVL AUTOGEO
Measurement shows where you lose. AutoGEO fixes it.
PVL AutoGEO is the AI-visibility action layer of PVL Nexus. Upstream measurement continuously samples ChatGPT, Gemini, Perplexity, and Claude, and can tell you "we were not cited on this question — a competitor was." But seeing it is not fixing it: something has to turn that signal into "so we publish this." AutoGEO is that link: signal in, opportunity scoring, content production, publish, and write results back — the full loop.
Diagnosis and action are two ends of one loop.
VisAble.AI and the analytics platform do the measuring: sampling the four AI engines with derived questions, scanning structured data, checking brand facts — producing citation gaps and an opportunity map.
PVL AutoGEO does the acting: it consumes upstream signals, scores each opportunity by value, produces the matching content draft or patch, and writes it to the target site as a draft. After publication, results are written back upstream — so the next measurement round verifies whether the action worked.
THE ACTION LOOP
From signal to verified results in six steps.
- 01
Signal
Ingest upstream AI sampling results, structured-data scans, and the opportunity map.
- 02
Opportunity scoring
Rank each gap by business value: topic volume, competitive pressure, cost to fix.
- 03
Content brief
Generate the full spec for the gap-filling content, grounded in the knowledge base and the diagnosis.
- 04
Draft production
Produce articles, structured-data patches, or corrections — written to the target site as drafts.
- 05
Human gate
Generation is not publication — every piece passes human review before going live.
- 06
Write-back
After publishing, results are written back upstream: citation and traffic changes close the loop.
Four solution scopes
Different signals call for different actions. AutoGEO currently covers four scopes:
| Scope | Trigger signal | Output |
|---|---|---|
| Own content | Zero citations on a question, or brand mentioned without the domain cited | New articles, extraction-friendly rewrites |
| Structured data | JSON-LD gaps found by site scans | Structured-data patches (template- or page-level) |
| Placement | High-citation third-party domains on the opportunity map | Pitch letters, guest long-form drafts |
| Brand facts | AI answers conflicting with the maintained fact table | Authoritative corrections |
Governance
The action layer touches public content directly, so governance is not optional:
Every piece is traceable
Each gap-filling item traces back to the diagnostic signal and knowledge-base evidence that triggered it.
The fact table is the truth
Brand corrections are grounded solely in the maintained fact table — AI does not improvise.
Results must write back
An action without write-back is not a loop; every publication must be verifiable by the next measurement round.
Current status
In production: powering content gap-filling for two enterprise engagements (a leading ICT group and a smart-city integration provider), and serving as the shared content-ops layer for TW B2B Bridge and FirstSite AI. Delivered through PVL Nexus technical licensing.
What is PVL AutoGEO?
PVL AutoGEO is the AI-visibility action layer of the PVL Nexus platform. It takes the citation gaps diagnosed by AI-visibility measurement (VisAble.AI), scores the opportunities, and automatically produces the matching content drafts, structured-data patches, or brand-fact corrections — published through a human review gate, with results written back to the measurement side to close the loop. Together with VisAble.AI (diagnosis) and First Page Suite (content operations on FirstSite), it forms PVL AI’s complete GEO solution.
Turn "seeing the problem" into "solving it."
AutoGEO is delivered through PVL Nexus technical licensing, or deployed alongside the VisAble.AI service.