citare
For ecommerce + D2C

Citare for ecommerce + D2C

Product brands face three structural AI search disadvantages — image-locked claims, JS-rendered store locators, Bing-coverage gaps. Brand Radar + Site Audit + Product-schema deployment close all three. The most common pattern in our audits: D2C brand ranks #1 on Google for its category, 1.8% AI surface rate. Same vertical, AI-optimized D2C: 43% surface rate. 24× gap.

Why D2C brands pick Citare

Image-locked claim detection

D2C and ecommerce sites use beautiful PNG cards for ingredients, certifications, sourcing, sustainability claims, awards. AI crawlers don't OCR at citation time — those claims are invisible. Site Audit detects image-locked claims and surfaces them as fix recommendations with the on-page-text equivalents to add.

Product schema deployment + Multi-variant

Product schema with brand + sku + gtin + offers + aggregateRating is how AI platforms cite ecommerce in 'best of' and 'top X' queries. Brand Radar's Site Audit surfaces missing Product schema and the variant pattern (ProductGroup with hasVariant arrays) for multi-size/color SKUs.

AIO geo-contextualization for multi-location brands

AIO is geo-aware — same query from Bangalore, Mumbai, Delhi can surface different brands. LocalBusiness schema per location + geo-seeded Brand Radar dispatches per city show you which cities your brand wins and which it loses. Critical for D2C brands with city-specific footprints.

Persona variants for D2C buyer journeys

Price-sensitive, premium, gift-buyer, first-time, loyal — same product gets recommended differently to each persona. Brand Radar dispatches per persona reveal which audiences see you and which don't. Up to 5 ICPs at Pulse; 10 at Agency.

Frequently asked questions

Why is image-locked content a big deal for D2C?

Most Indian and US D2C sites use design-heavy PNG cards for the brand's most differentiating claims — ingredients, certifications, sourcing, sustainability, awards. AI crawlers don't OCR at citation time, so those claims simply don't exist for AI extraction. Brand Radar audits we've run show this as the single most-common citation-cap for D2C — fixable in 1-5 days per priority page, lift visible in 4-8 weeks.

Should I do AIO or ChatGPT first for D2C?

Both — but the Bing-side gap (which gates ChatGPT) is often the bigger win for Indian and US-SMB D2C brands. Most D2C brands have submitted to GSC but never to Bing Webmaster Tools. 5 minutes of work; 4-8 weeks to ChatGPT visibility lift. After that, AIO/AIO geo-context + Product schema.

Which tier for D2C?

Pulse ($35/₹2,999) for solo / single-brand D2C — monthly Brand Radar + 500 keywords + weekly 250-page Site Audit. Pro ($119/₹9,999) for multi-product or multi-location D2C — weekly Brand Radar + daily 500-page audit. Most Indian D2C brands start at Pulse and upgrade to Pro within 3-6 months as the audit + Brand Radar workflow becomes core to their operations.

Does Brand Radar work for non-English D2C audiences?

Yes — Query Guide and ICPs can be defined in Hindi / Tamil / Bengali / Marathi / etc. Counterintuitively, English-language schema and pillar content still lift Indic-audience brands the most, because AI extraction prefers English even when responding to Indic users. See /india/geo-for-indian-businesses for the multilingual strategy.

How does Citare compare to traditional D2C tools like Yotpo or Klaviyo?

Different category. Yotpo and Klaviyo are review/email infrastructure; Citare is search visibility (Google + AI search). Complementary, not competing. Citare's Product schema deployment uses your existing review data (aggregateRating from Yotpo/Klaviyo) as input — the platforms work alongside each other in a D2C stack.

D2C · INR-native · Razorpay checkout

Free tier covers 1 D2C project. Pulse ($35/₹2,999) ships monthly Brand Radar + weekly Site Audit + 500 keywords.

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