Get your products picked by AI shopping assistants.
Shoppers now ask Amazon Rufus, Walmart Sparky, ChatGPT and Google AI what to buy, and get one or two products back instead of a page of results. Those systems read your product data, compare you with the alternatives and check who else vouches for you before the shopper sees anything. We build every one of those signals on purpose, so your product is the one they can understand, trust and recommend.
What changes
Understood
Titles, attributes, categories, variants and specs written as facts each system can parse, the same on Amazon, Walmart, eBay, Shopify and your Merchant Center feed.
Trusted
Reviews, Q&A, certifications and third-party mentions that back up every claim, with nothing contradicting it anywhere an assistant looks.
Chosen
Comparison, use-case and buying-guide content written around the exact questions shoppers ask Rufus, Sparky and ChatGPT, so your product is the obvious answer.
How AI shopping assistants choose a product
Rufus on Amazon, Sparky on Walmart, ChatGPT and Google AI all follow the same four steps before a shopper sees a recommendation.
1. Intent
What the shopper needs: the goal, the budget, the constraints, the deal breakers.
2. Understanding
How the assistant reads your product: title, attributes, specs, images, Q&A and the content around it.
3. Selection
Which product it trusts enough to recommend, based on reviews, consistency and who else vouches for it.
4. Transaction
Where the purchase happens: your marketplace listing, your store, or checkout inside the assistant itself.
We make your product selectable
Each lever is built on purpose and checked on every priority product.
- Product data
- Titles, bullets, attributes, categories, variants and backend fields rewritten as clear facts for Amazon, Walmart, eBay and Shopify, mirrored into your Merchant Center feed. Built with our Listing Builder from your photos and verified facts.
- Shopify and storefront architecture
- Product and ProductGroup schema, variant data, collections, internal links, Shopify Catalog and Agentic Storefronts settings, and crawler access, so assistants can read every product you sell.
- Validation signals
- Review programs inside each platform's rules (Amazon Vine and Request a Review, Walmart Spark Reviewer), answered customer questions, certifications on the page, and the same claims on every third-party source an assistant checks.
- Selection content
- Comparison pages, use-case guides and visible FAQs built from the questions shoppers actually ask Rufus, Sparky and ChatGPT, plus outreach to the review sites and creators those assistants already cite in your category.
- AI selection check
- Every listing we ship is scored against how assistants evaluate products: missing attributes, unanswered buyer questions, weak proof, conflicts between channels. You get the gaps and the fixes, product by product.
- Weekly buyer-question panel
- The same set of buying questions run every week, with where you appeared, what was cited and who was picked instead, so every fix is aimed at a real gap.
So your brand shows up with the right context, and gets chosen.
From selection to checkout
AI assistants are starting to buy, not just recommend: ChatGPT Instant Checkout and Shopify Agentic Storefronts let a shopper purchase inside the conversation. We set up your catalog, feeds and policies so that when an assistant picks your product, it can also sell it.
What the AI search audit checks
The concrete checks, the sources we read them from, and nothing vague.
What the AI search audit checks
| Check | What we look at | Source |
|---|---|---|
| Crawler access | OAI-SearchBot, PerplexityBot, Claude-SearchBot, Amzn-SearchBot, Applebot, bingbot and Googlebot can fetch product pages and get a 200 | robots.txt, CDN bot rules, live fetch |
| Feed eligibility | Shopify Agentic Storefronts and Catalog status, Merchant Center free listings, required attributes present | Shopify admin, Merchant Center diagnostics |
| Structured data | One Product or ProductGroup per page with gtin, mpn, brand, offers, availability; FAQPage only where the FAQ is visible | Rich Results Test, page source |
| Answer quality | Answer-first paragraph, spec table, comparison, FAQ drawn from real buyer questions | Page review, Amazon Q&A, reviews, Merchant Center top terms |
| Entity consistency | Same price, availability and identifiers across feed, page and marketplace offers; Organization sameAs to your stores | Feed export vs page vs marketplace listing |
| Baseline prompt panel | 30 to 150 buyer prompts across discovery, evaluation and ready-to-buy stages | Sampled every week on Gemini with Google Search grounding, 5 runs per prompt. Other assistants (ChatGPT, Perplexity, Copilot, marketplace assistants) are checked by hand and labelled manual |
Issues we fix
The gaps we find most often. Each one has a documented cause and a documented fix.
- Search crawlers blocked by a CDN 'AI bots' toggle, so the store cannot appear in ChatGPT or Perplexity answers
- Shopify theme emits no gtin, mpn or variant-level Product markup
- Merchant Center feed missing attributes that Google reports as 'popular attributes missing from your product data'
- Product pages with marketing copy but no facts an assistant can quote: materials, dimensions, compatibility, what is in the box
- Conflicting prices or availability between feed, page and marketplace listings
- No FAQ, or an FAQ marked up in schema that is not visible on the page
Deliverables
- Technical readiness report
- Crawler, feed and schema status with the exact fixes, applied by us where we have access or handed to your developer with code.
- Answer-ready page rewrites
- Per priority product: answer paragraph, spec table, comparison block, 6 to 10 question FAQ, schema. Drafted by our team from your verified facts, reviewed by a person, approved by you.
- Buying guides and comparison articles
- 1,000 to 1,500 word articles on the questions your buyers ask, dated, sourced and marked up, published on your site.
- GEO placements
- Outreach to the editors, affiliate publishers and creators who own the pages AI engines already cite in your category. Plain text, one specific observation, FTC-safe offers.
- Weekly visibility report
- Prompt panel results: share of prompts mentioning you, citation share, top cited domains, competitor set, and what we changed that week.
Services covered on this page
AI Search Visibility (AEO, GEO, SEO)
Get your products found, understood and chosen inside AI shopping assistants and search.
Shopify Store SEO and AI Readiness
A Shopify catalog that search engines and AI assistants can read correctly.
GEO Outreach and Placements
Get your products into the pages AI assistants already trust.
Client approval and publication
A real sequence. Nothing goes live before approval where approval is required.
We draft the change and attach the evidence that motivated it.
A second person on our team reviews the draft against the platform's rules and your brand guide (brand voice, facts, claims policy).
You approve or request changes in the client portal. Nothing goes live before approval where approval is required.
We publish, record the date, and measure the change with the platform's own reports.
Proof policy
Every week we run a fixed panel of real buyer questions and show you where your products appear, which sources the answer used and which competitors were picked instead, with the date and engine on every result. Gemini with Google Search is sampled every week; Rufus, Sparky, ChatGPT and Perplexity are checked by hand and labelled. Merchant Center, Search Console, GA4 and your marketplace reports show the traffic and orders that follow.
Read the full proof policyWhat we need from you
Delegated access to a named VendaHawk identity, never a password, plus the facts our drafts are built from.
- Verified product facts for each priority product (spec sheets, certifications, compatibility)
- Shopify collaborator request code, or your developer's contact for a non-Shopify site
- Google Merchant Center (Standard), Search Console (Full) and GA4 (Marketer) access for a named VendaHawk identity
- A list of competitors and the buyer questions you hear most
- Your claims policy: what we may and may not say
Questions
How do you get AI assistants to pick our product?
We work on every signal they use to choose: clean product data and attributes, a storefront and feed they can read, reviews and third-party mentions that confirm your claims, and content that answers the exact buying questions shoppers ask. Then we run the same buyer questions every week and fix whatever is still holding you back.
Does llms.txt help?
No engine has confirmed using it for ranking. We ship one because it costs minutes and some agent tools read it, but we never report it as a deliverable with measurable impact.
Do you work on Amazon, eBay and Walmart too?
Yes. Marketplace assistants read the listing itself, so this service pairs with our marketplace listing work. Alexa for Shopping, Walmart Sparky and eBay search each read different fields; see the platform pages.
How quickly do changes show up?
Crawl and feed changes usually propagate within days. Content changes take longer to be cited; we sample weekly and expect to see movement inside the 90-day program, not in week one.
Do you write the content with AI?
Our team drafts from your verified facts. A strategist reviews every draft against the platform's rules and your brand guide, and you approve before anything is published.
Where this sits in the plans
Included in every plan: Starter tracks 10 prompts, Growth 50 and Enterprise 150. Standalone AI search work is quoted per catalog.
Full pricing, add-ons and exclusionsOther services
Find out whether AI assistants can read your products at all
The free snapshot checks one or two public product pages for crawler access, structured data and answer quality, with evidence.
- 15 minutes with a founder, on Google Meet or Zoom
- Public pages only. No passwords, ever. Privacy