# AIVO Assist: Seller-Side Decision Experts for AI Shopping Agents, and the Measurement That Gives Them Context

> **Limitation:** This content is identified as Perspective / Viewpoint. Evaluation of this content might be partial, and should be treated as indicative.

- **DOI:** [10.5281/zenodo.23694597](https://doi.org/10.5281/zenodo.23694597)
- **Rating:** Limited (2.7 out of 5)
- **Verdict:** A seller-side shopping-agent framework demonstrates gains when websites omit deciding facts, but its tests do not establish that measurement-derived context is necessary.
- **Framework version:** v5.10
- **Pipeline version:** v0.4
- **Evaluation date:** 2026-11-03
- **Evaluation page:** https://www.nabu.science/paper/10.5281%2Fzenodo.23694597

## Key claims

1. such an expert [a seller-side expert that visiting AI agents consult] cannot be built from product knowledge alone
   - Support: Tentative
   - Type: Primary finding
   - Basis: no catalogue-built expert was tested against the proposed system
   - Location: Abstract; Section 2.1
2. That context [decision context] can only be derived from measurement of how AI systems actually decide
   - Support: Tentative
   - Type: Secondary
   - Basis: tests of one measurement-led system do not establish exclusivity over alternative context-derivation approaches
   - Location: Abstract; Section 9
3. On realistic websites, where the deciding facts were behind a booking engine or in vague copy: right recommendations rose from 47% (79 of 167) without AIVO Assist to 93% (157 of 168) with it.
   - Support: Supported
   - Type: Secondary
   - Basis: the comparison supports the reported direction within a controlled fictional market using proprietary agents
   - Location: Section 6, Table 3, row ‘Does it change which business agents recommend?’

## Strengths

- **A concrete seller-side decision support framework** The proposal joins customer-fit judgments, evidence-bearing answers, abstention, and outcome measurement into an operational loop rather than treating the interface as catalogue search alone.
  - Dimension: contribution
  - Location: Sections 3–5; Table 1
- **Controlled tests include informative negative conditions** The expert made no difference when a clean page already supplied every deciding fact. The paper also reports an earlier refusal failure and a corrected attribution fault, helping identify where the proposed mechanism adds value.
  - Dimension: methodological rigour
  - Location: Section 6, Table 3
- **Explicit rules make intended behavior inspectable** The system description specifies three fit outcomes, sourced statements, honest refusal, information parity, and precedence for independent evidence. These concrete rules make the intended behavior and safeguards understandable.
  - Dimension: reporting
  - Location: Sections 3 and 5

## Limitations

- **Necessity claims exceed the tested comparison** The tests compare the proposed expert with no expert, not with a catalogue-built expert or alternative context-building system. They therefore do not establish that decision context can only come from measurement.
  - Dimension: reporting
  - Location: Abstract; Section 2.1; Section 6, Table 3; Section 9
- **Proprietary tests lack a reproducible protocol** The principal result comes solely from the company's own agents without released sessions, prompts, adjudication records, or code. Missing allocation and analysis details also prevent a full assessment of test execution.
  - Dimension: methodological rigour
  - Location: Scope of disclosure; Section 6
- **Alternative approaches receive little substantive engagement** The catalogue-assistant comparison relies on asserted limitations, while much of the supporting programme is drawn from the company's own working papers. The limitations discussion does not explain how the absent catalogue-only comparison constrains the central thesis.
  - Dimension: positioning
  - Location: Section 2.1; Section 4.3, Table 2; Section 6; References 1–9

## Reliability checks

Caveats (4 of 4 checks).

- **Results check:** Clean. The reported numbers and statistics are consistent with the stated results.
- **Reporting and transparency:** Noted. Corporate involvement and use of proprietary test agents are disclosed. The principal controlled result remains an unverified single-source finding without released underlying sessions, prompts, adjudication records, or code.
  - Conflict of interest: declared · Preregistration: not stated · Data availability: not stated · Code availability: not stated
- **Reference integrity:** Clean
  - 16 references in manuscript
  - 9 of 9 checkable references found in an index
  - 7 have no canonical index record — counted, but not index-checkable
  - 1 reference confirmed by manual review
  - References not verified automatically are resolved manually within 24 hours.

## Post-publication record

- **Status:** Clean
- **Summary:** No retraction or expression of concern found in Crossref (includes Retraction Watch).
- **Last checked:** 2026-11-03