Appear client case study

    Shomigo made 12× as many pages available in reported AI crawls.

    Shomigo Markets · Marketplace · shomigomarkets.com

    Appear reports 12× AI-crawled pages and 340% more product citations for a JavaScript-heavy marketplace, without changes to the site's application code.

    Client results reported by Appear

    Read the original study

    Published implementation timeline: days 1–30. This is TRC's summary of Appear's client work, not a TRC engagement or an independently verified result.

    Source reviewed . Results vary by question, platform and measurement period.

    12×

    AI-crawled pages, reported by Appear

    340%

    More product citations, reported

    0

    Application code changes reported

    The Challenge

    Shomigo's listings, category pages and merchant profiles relied heavily on browser-side JavaScript. Appear describes crawlers receiving HTML shells rather than the underlying product content.

    The project focused on making the marketplace's catalog and category structure readable without rebuilding the customer-facing application.

    Appear's approach

    Appear describes edge routing, crawler-readable response profiles and structured product information, followed by monitoring and content refinement.

    Day 1

    Routing setup

    Traffic was routed through Appear's edge as part of guided activation.

    Days 2–5

    Catalog and category profiles

    Appear crawled the marketplace and generated response profiles for categories and representative listings.

    Days 6–10

    Review structured information

    The team reviewed positioning and product, seller and category markup.

    Days 11–30

    Monitor and refine

    The published implementation timeline describes citation monitoring across ChatGPT, Perplexity and Claude.

    Work described in the study

    Edge-routing setup without application-code changes
    Crawler-readable category and listing profiles
    Structured product, seller and category information
    Monitoring and iterative content review

    Reported results

    Appear's publication reports 12 times as many AI-crawled pages and 340% more product citations.

    The case demonstrates the distinction between crawler access and citation observations: the page multiplier concerns crawled content, not visitor or revenue growth.

    Measurement context

    • The source describes a 30-day implementation sequence but does not disclose the exact measurement windows, raw counts or denominators behind the headline multipliers.
    • These are Appear-reported figures, not independently reproduced TRC measurements. No lead, sales or revenue result is asserted here.
    View the complete source on Appear

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