SEO and AI visibility for ecommerce and D2C brands

How shoppers search

"Cotton kurta for men under 1500", "best bamboo toothbrush", "sunscreen for oily skin India", "protein bar without sugar". Many now ask assistants "Which brand of X should I buy?" and follow the cited links.

What AI assistants say

For recommendations, assistants weigh independent reviews, comparison articles and clear product information. A brand's own site is often cited for specifics (ingredients, sizes, price), so those pages must be complete and accurate.

What ParSEO does for you

• Checks Google every day for the searches that matter to you, with Search Console's own numbers beside each one.
• Asks the AI assistants every week (ChatGPT, Gemini, Google AI and Perplexity) the questions your customers ask, and records who they name.
• Reads your competitors' sites, so you see who outranks you, why, and what they charge where they publish prices.
• Fixes your real site with your OK: clearer titles and descriptions, structured data, missing pages. Every change can be undone for 14 days.
• Writes blog posts from your own answers, with sources, at most two a week.
• Proves each change: when it went live, when Google read it, and your position before and after, with dates.

Where to start

1. 1Product pages with your own descriptions: materials, sizing, use, care, price and availability.
2. 2Product structured data that matches the visible price and stock.
3. 3Category pages with a useful intro and filters that don't create endless duplicate URLs.
4. 4Honest comparison and buying-guide content for your category.
5. 5Earn independent reviews and mentions; never buy them.

What a strong product page answers

• What is it made of, and how is it different from cheaper versions?
• How does sizing work, with a size guide in text?
• What is the price, is it in stock, and when will it arrive?
• What are the return and exchange terms?
• How do you use and care for it?

Mistakes that hold stores back

• Manufacturer descriptions copied across many sites.
• Product structured data showing a different price or stock state from the page.
• Filter and sort combinations that create thousands of near-duplicate URLs.
• Category pages with no text at all.
• Buying reviews or offering incentives for positive ones.

What to measure in the first 90 days

1. 1Product and category searches in Search Console, and which pages earn clicks.
2. 2Searches with many impressions and few clicks, where titles and descriptions can improve.
3. 3Whether AI assistants name your brand for your category, and which reviewers they cite.

An outline for a category page

1. 1A heading that matches how shoppers search for the category.
2. 2A short introduction: what's in the range, who it suits and how to choose.
3. 3The products, with prices and stock shown in text.
4. 4A short buying guide or comparison of the main options.
5. 5Answers to three to five common questions, such as sizing, materials and delivery times.
6. 6Links to related categories and your returns policy.

Questions to track in AI assistants

• "Best [product] brands in India"
• "[Product] for [specific need] under [price]"
• "Is [your brand] good?"
• "[Your brand] vs [competitor] for [need]"
• "Where to buy [product type] online in India"

Note whether your brand is named, how it's described, which review sites and articles the assistants cite, and whether the prices and details they repeat are current.