Product Features

Built for the AI commerce era

Every feature in Bot It is designed around one mission: making your Shopify store the first recommendation when AI agents shop.

Catalog Discovery Audit & AI Fixes

Shopify syndicates your products to ChatGPT, Copilot, and Gemini automatically — and when your data is incomplete, Shopify’s AI guesses the missing pieces with what its own docs call “varying accuracy.” Bot It audits every product on the exact data points agents rank on, then fixes the gaps with AI — on your terms.

  • Every product scored 0–100: category, attributes, GTINs, alt text, descriptions, variants, availability, policies
  • AI-written image alt text, SEO fields, detected attributes, and agent narratives Pro
  • Your automation, your rules: Full Review, Semi Auto, or Full Auto
  • Every change logged with its before-value — one-click revert
Product audit — what agents see
Taxonomy category12/12 ✓
Image alt text3/10 — 4 images missing
Category attributes2/6 explicitly set
⚡ Generate fixes with AI — 7 fixes applied, all revertible

AI Rank Tracker Pro

Bot It searches the same global catalog ChatGPT, Copilot, and Gemini shop from — night after night — and records exactly where your products place against named competitors. Fix your data, then watch your rank move.

  • Track the buyer queries that matter to your store
  • See the competitors ranked ahead of you, by name
  • Buyer-intent context makes checks match real agent behavior
  • Rank history charts your fixes moving the needle
"organic cotton t-shirt" — the AI shelf
#1 — competitor-basics.com
#2 — ecowear-collective.com
#3 — your store ▲ was #18

MCP Response Enrichment

When an AI agent queries your store, it receives a raw product response from Shopify’s Agentic Storefront. Bot It intercepts that response and layers in your brand context, product narratives, and review data before the agent ever sees it.

  • Brand voice and context injection into every query
  • Product and collection narrative enrichment
  • Review data embedding (ratings, summaries, top quotes)
  • Search gap tracking for zero-result queries
What Bot It injects into the MCP response
brand_context: "Premium menswear, sustainable materials, free shipping over $50..."
bot_it_context: { narrative, fit_notes, materials, use_cases, complementary_products }
bot_it_reviews: { avg_rating: 4.7, review_count: 142, summary: "Customers love the fit..." }

Agent Traffic Analytics

See which AI agents visit, which channel each AI-sourced order came from, and which queries return nothing. The dashboard layout is shown here; the numbers are yours once installed.

  • AI agent session tracking by agent name and type
  • MCP tool usage and average response times
  • Search gap identification (zero-result queries)
  • Enrichment rate and proxy request volume
—
AI agent sessions
by agent name
—
Orders by AI channel
ChatGPT, Copilot, Gemini, Meta
—
MCP tool calls
with response times
—
Search gaps
zero-result queries

Review Integration & Brand Voice

AI agents make better recommendations when they have the full picture. Bot It syncs your review data and brand context so every agent interaction includes your ratings, customer sentiment, and brand story.

  • Sync reviews from Judge.me, Yotpo, Loox, Stamped, or Okendo
  • Ratings, review counts, and top quotes injected into MCP responses
  • Brand voice editor with tone, shipping, returns, and FAQ fields
  • Product and collection narratives with fit, materials, and use-case context
4.7 (142 reviews)
"Customers love the fit and quality. Multiple repeat buyers mention the Oxford cotton feels premium."
Brand Voice
"We make premium menswear from sustainable materials. Free shipping on all orders over $50. Easy 30-day returns."
Product Narrative
"True-to-size. Oxford cotton, machine washable. Perfect for business casual. Pairs well with our chinos."

Connector — Bring Your Own LLM Pro

Point Claude Desktop, ChatGPT, Cursor, Gemini, or any custom LLM at your store. The Connector exposes a REST API and a hosted MCP server for bulk-enrichment of brand context, collections, and products — no clicking through the admin one product at a time.

  • REST endpoints and MCP server — same auth, same data, your choice of client
  • Per-store API tokens (botit_pat_*) you mint and revoke yourself
  • missing_fields[] array on every read — the LLM knows exactly what to write next
  • Background sync to Shopify metafields stays automatic; you write, we publish
  • Full reference at docs.botitai.com/features/connector
Your LLM writes directly to your store
PATCH /v1/products/8123
Authorization: Bearer botit_pat_…
"narrative": "Engineered for trail runners..."
"materials_notes": "Recycled mesh upper, Vibram outsole"
"ok": true, "updated_fields": ["narrative", "materials_notes"]

More features built for AI commerce

Category attribute writes

Color, fabric, material, size type, target gender and more, written as real Shopify taxonomy metafields (the shopify namespace), constrained to the official values for the product’s category. One click, or Semi Auto.

Store gates check

Password page, robots.txt blocks added by other apps, the /.well-known/ucp manifest (spec version and payment handlers), agents.md and llms.txt, and the agentic sitemap. Checked on every dashboard load.

IndexNow broadcast

Product changes are pushed to the IndexNow layer that feeds Bing and Microsoft Copilot the moment they happen, with a key file Bot It hosts for you. Pro.

Native theme files

llms.txt, agents.md and robots.txt as editable theme templates, regenerated from your store data. Copy/paste or CLI on Free; one-click push and daily auto-push on Pro. Hygiene, not a ranking lever, and Bot It says so.

Knowledge Base sync

Brand context, product narratives and collection data pushed to Shopify metafields so every surface that reads them gets the same story.

Change history and revert

Every write stores its previous value. Revert one change or a whole batch. Exports for agencies that report to clients.

Bot It vs. the alternatives

Shopify ships a free listing-quality meter and a readiness scanner. They show a score. They do not fix, track, or explain.

Feature Bot It Shopify’s built-in meter llms.txt-only apps
Per-product audit on 13 catalog ranking factors Partial
Names the failing products and the failing checks Partial
Automated AI fixes (alt text, SEO fields, narratives)
Category attribute writes from Shopify taxonomy values
Revertible change history for every write —
AI Rank Tracker vs named competitors
Store gates check (password, robots.txt, UCP, sitemap)
IndexNow broadcast on product changes
Native theme files (llms.txt, agents.md, robots.txt)
MCP response enrichment with brand context
Review data integration
AI agent traffic and orders by channel Partial Partial
Bring-your-own LLM (REST + MCP)
No theme changes required Partial

See every feature live on your store.

Install free from the Shopify App Store. AI visibility for your store, today.

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