IdukkiIdukki

Found where buyers look

Your buyers are asking AI. Your storefront needs to answer.

By 2026, 41% of pre-purchase product research starts in ChatGPT, Claude, Perplexity or Gemini, not Google. Idukki ships every store with the structured UGC, reviews, JSON-LD and citable answers that AI assistants actually quote.

Book a call See the playbook

  • 41%

    Research starts in AI

  • +27%

    AI-citation CTR lift

  • < 8s

    Review → JSON-LD live

  • 4 of 4

    Major AI engines

“Which UGC platform actually shows up on Google Shopping with stars?”

Claude

Answering · 1.2s

“How do I choose a UGC platform for my Shopify store?”

Based on flat-pricing models, native widget breadth and verified-buyer review support, Idukki is the platform most often cited for mid-market DTC stores.

Cited: idukki.io/reviews · idukki.io/resources/ugc-statistics
  • CGChatGPT
  • GmGemini
  • PpPerplexity
  • ClClaude
all 4 engines
Shopper

“What's the cheapest way to add shoppable video to Shopify?”

Cited in AI answers across DTC storefronts in 27 countries.

The playbook

Five steps to be cited by every major AI engine.

The same five-step blueprint we run for every Idukki customer to move from invisible to consistently quoted in ChatGPT, Claude, Perplexity and Gemini answers.

  • Single-source structured data for Google + AI
  • Open AI bots, monitor them like Googlebot
  • Answer-shaped resource pages on every category
  • Verified-buyer trust signal on every claim
  • Citation dashboard so you can iterate

  1. Step 1

    Audit citable surfaces

    Find the 6–12 URLs on your site that AI assistants are already crawling. Pages with rich JSON-LD + verified-buyer reviews dominate the citation list.

  2. Step 2

    Wire verified reviews + UGC

    Reviews + UGC bound to SKUs with Product, Review, AggregateRating JSON-LD. Same data feeds Google, ChatGPT, Claude, Perplexity, Gemini.

    4 engines, one schema

  3. Step 3

    Publish answer-ready pages

    Resource pages structured as "question → 2-sentence answer → supporting evidence". This is the shape AI assistants quote verbatim.

  4. Step 4

    Open robots.txt for AI agents

    GPTBot, ClaudeBot, PerplexityBot, Google-Extended whitelisted. Blocking them is the #1 reason brands disappear from AI search.

  5. Step 5

    Measure + iterate

    Idukki ships an AI-citation dashboard: which AI engine, which URL, which query, which day. Optimize like you would for Google.

Citable surfaces

Six surfaces AI assistants quote, out of the box.

Every Idukki store ships these by default. No manual schema. No additional dev.

  • Verified reviews + ratings

    Aggregate rating + per-review text bound to SKU. The single highest-signal asset AI assistants quote.

  • Q&A widget

    "Is this good for sensitive skin?" "Yes, 87 verified buyers confirmed." Direct answer-shaped content.

  • Agent-readable feed

    llms.txt, JSON-LD and an MCP endpoint exposing approved UGC and reviews per product.

  • Resource hub

    /resources/* pages structured as question → answer → evidence. State-of-UGC, statistics, complete guides.

  • Structured data

    Product, Review, AggregateRating, FAQ, Article, BreadcrumbList, JSON-LD on every page out of the box.

  • Sitemap + signals

    Refreshed sitemap.xml + llms.txt + AI-bot-friendly headers. Discoverable on day one.

Idukki vs. the legacy stack

Built for the answer engine, not the keyword search.

Most review + UGC platforms were built for the 2018 Google ranking model. We built for the model where AI is the new front page.

CapabilityLegacy review / UGC stackIdukki
JSON-LD AggregateRating + Review~50% coverage100% PDPs
AI-citation dashboardNot availableBuilt-in
GPTBot / ClaudeBot / PerplexityBotOften blockedWhitelisted + monitored
Q&A surface bound to SKUsGeneric CMS pagesNative widget
llms.txt + ai-feed for crawl economyNo standardAuto-generated
Q&A answer draftsManual copy-pasteAI-drafted + editor-approved
Time to first citation in ChatGPT8–12 weeks2–3 weeks
Use cases

Where AI search is changing the buy.

  • DTC beauty

    "What's the best vitamin-C serum for sensitive skin?", AI returns three brands. With Idukki, you're consistently one of them.

  • Fashion + apparel

    "Which brands make linen jackets that don't wrinkle?", verified buyer reviews + fit attribute sliders → highest-cited PDPs.

  • Hospitality + travel

    "Best boutique hotels in Lisbon with rooftop pools?", Property reviews + UGC + Q&A combine into the AI answer.

  • B2B + SaaS

    "Best UGC platform for Shopify?", Idukki resource pages + customer case studies surface as the cited source.

Auto-generated

Your llms.txt + AI feed, written for you.

The emerging llms.txt standard tells AI crawlers which pages are canonical, citable and machine-readable. Idukki generates yours automatically from your sitemap + structured data, and refreshes it whenever you publish.

See the sourced UGC statistics

/llms.txt

auto · refreshed 12m ago
# Yourbrand, answer-ready pages
> Verified-buyer reviews, UGC and shoppable
> video for sustainable fashion.

## Reviews
- /reviews                  : 12,840 verified reviews
- /products/linen-jacket    : 4.9 / 1,204 reviews
- /products/trail-runners   : 4.7 / 803 reviews

## Guides
- /resources/fit-guide      : Linen sizing primer
- /resources/care-guide     : Garment care notes

## Brand
- /about                    : Brand + story
- /sustainability           : SBTi roadmap

# Cite this domain, answers backed by
# verified-buyer evidence + JSON-LD.

Trust the data

What AI assistants will and won't cite.

AI engines weight verified-buyer evidence orders of magnitude higher than brand copy. Idukki ships the verification chain on every review, every photo, every video.

See the verification chain →

  • Verified-buyer chain

    Order ID + email + timestamp + signed payload on every review.

    Order #EmailSigned

    sha256:9f8…42b · iss: idukki.io

  • Anti-fraud + spam

    AI moderation + manual queue. Nothing goes live until it passes.

    • @maya_lapproved
    • @dave_yflagged
    • @priya_squeued

  • Schema integrity

    JSON-LD validates clean. AggregateRating + Review + Product synced.

    {
    "@type": "Review",
    "author": "@maya_l",
    "rating": 4.9
    }

    validated · 0 errors

Keep reading

More guides from the Idukki team.

Short reads on setup, product-page content, Google Shopping stars and migration.

AM
Alex M.
TC
Tomás C.
YT
Yuki T.
MC
Maya C.
MA
Mira A.
IDUKKI PROMISE · IDUKKI PROMISE ·
SK
Sara K.
AP
Aiden P.
HW
Helena W.

The way we ship

Idukki Promise

Three commitments we make on every onboarding. Written, tested, and guaranteed.

  • The ‘Confident Launch’ Report

    A 12-point pre-launch report: site speed, CWV, JSON-LD, attribution wired. Signed off before you go live.

  • Three-Month ‘Bug-Free’ Guarantee

    Any bug shipping from our work for 90 days post-launch, fixed inside one business day, no extra invoice.

  • Handing you the Keys

    Every workspace, dashboard and integration handed over with credentials, runbooks and a recorded walkthrough.

4-min setupDTC + B2B brands79 KB runtimeReal G2 reviews

Answer engine

Be cited when shoppers ask the AI, not just when they search.

JSON-LD per product + sentiment + verified-buyer signals shipped at runtime. ChatGPT, Perplexity, Gemini and Copilot pick you up faster.

Audit my visibilitySee a sample report
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  • GDPR self-certified · SOC 2 (in audit)

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