Agent commerce evaluation criteria

Choose the right platform. Verify what happens after the AI answers.

Evaluate an agent commerce platform on five pieces of evidence. Actual runs, original evidence, fixes at the source, purchase paths, and source records: SoldByAI keeps records of all five and uses them to operate your agent commerce channel over time.

Procurement evidence

Every channel claim needs evidence

Coverage, conclusions, fixes, purchase readiness, and attribution should all come with records you can inspect. Use these five questions with any agent commerce platform.

  1. Actual runs

    Actual runs

    Coverage starts with what actually ran

    Which entry points have an actual run record?

    Each record identifies the engine, real shopping question, test time, and run status. An unrun test, a failed run, and a completed answer in which the brand did not appear are three different results.

    Cross-Engine Sweep Network

  2. Original evidence

    Original evidence

    The original answer comes before the score

    Which original answer supports each conclusion?

    The original question and answer remain on file. Mentions, citations, recommendations, and absences are classified separately, and every aggregate result traces back to those records.

    Cross-Engine Sweep Network

  3. Fix at the source

    Fix at the source

    The fix begins at the source

    Can the issue be traced to your product data, corrected, and tested again?

    Every proposed fix identifies the product, original evidence, and product fact at issue. After you approve it, SoldByAI updates the product data and publishes the approved change where it is needed. The next cycle records the status and result.

    Brand product data, previous engine results, verified fixes, and open issues carry into the next cycle. Your dedicated optimization agent works from those records instead of relearning your brand from scratch. With each cycle, its proposed fixes become more specific to your brand.

    Every change requires your approval.

    Fix-at-Source Engine

  4. Purchase path

    Purchase path

    A recommendation still needs a purchase path

    Once a product is recommended, is the purchase route live?

    SoldByAI runs an agent through find, compare, and select, then verifies the purchase route is live. The failure point and test time remain on record.

    1. Find
    2. Compare
    3. Select
    4. Route live

    Purchase-Path Live Test

  5. Source record

    Source record

    Visibility is a metric. A channel needs a ledger.

    Can agent commerce visits and orders be traced to their source?

    Visits and orders that arrive through agent commerce are recorded by AI, product, and channel. When the source is on record, channel performance can be counted.

    Engine-Level Attribution

Operating scope

Look at operating scope, not the length of the feature list.

GEO, or Generative Engine Optimization, works on a brand's visibility and source performance in AI-generated answers. Content and acquisition tools, GEO, and agent commerce platforms can all serve the same brand. The buying decision starts with what each one manages and where the work ends.

Content and acquisition tools

Operating focus
Existing search, marketplace, social, and advertising funnels
Asset built
Content, creative, and campaign assets
Core work
Create, distribute, and optimize content and campaigns
Evidence
Traffic, leads, and campaign performance
Business outcome
Improve the existing funnel

Generative Engine Optimization (GEO)

Operating focus
Brand, product, and source performance in AI-generated answers
Asset built
Content assets, source presence, and visibility history
Core work
Test prompts and improve content across the sources that shape AI answers
Evidence
Original answers, mentions, citations, recommendations, and trends
Business outcome
Improve visibility and citation opportunities in AI-generated answers

Agent commerce operations

Operating focus
Product data, eligibility for agent shortlists, purchase paths, and attribution records
Asset built
Brand product data and cross-cycle operating records
Core work
Organize and publish product data, test entry points, fix product data at the source, and verify purchase paths and attribution
Evidence
Original answers, fix records, path results, and attribution for visits and orders
Business outcome
Manage the path from shortlist to purchase and channel attribution

GEO centers on visibility in AI-generated answers. SoldByAI brings visibility, product data, purchase paths, and attribution into agent commerce operations.

Long-term value

The assets and the decisions stay with your brand

Brand assets

  1. Brand product data
  2. Previous engine results
  3. Verified fixes
  4. Open issues

Your dedicated optimization agent carries these records forward. Each cycle builds on what it already knows about your brand, so your agent commerce operating knowledge grows over time.

Operational control

  • Your storefront stays intact

    Your existing URLs, design, and checkout stay in place.

  • You approve every change

    Every change requires your approval.

  • Your product data stays yours

    Your brand owns the data, and it remains portable.

Standards clear. Now decide how far to go.

Four plans cover the path from a product data foundation to weekly fixes, purchase-path testing, and managing product data across platforms.