Make your products findable and beautifully visible when AI agents recommend.
ChatGPT, Perplexity, Gemini and Google SGE already mediate millions of shopping queries daily. We make sure your brand surfaces, renders as rich visual cards, and stays on-brand — not buried in paragraphs of AI-generated text.
Zero customer-visible changes on your own storefront
Typically 10–30 day turnaround
No backend access required for Deep Scan
The shift
Commerce is moving inside the conversation.
The way shoppers discover products is changing fast. AI agents now answer "what's the best mascara for sensitive eyes under £30" with specific products — and most brands haven't realised they're being left out of that conversation, or shown as plain text while competitors render as rich product cards.
58%
of Gen Z shoppers now use generative AI for product research before buying, with product suggestions driving real purchases.
Salesforce / Adobe, 2025
3×
conversion rate on products surfaced as rich visual cards in AI responses versus those mentioned only as text.
Emerging industry benchmarks
0/100
typical score we find for mid-market retailers on feed integrity — the single biggest AI visibility blocker.
Catalign scan data, April 2026
How it works
A three-step engagement designed for mid-market teams.
We handle the technical complexity. Your team stays focused on what it actually signed up to do — growing the brand.
1
Deep catalogue scan
We evaluate up to 10,000 SKUs across six dimensions of agentic commerce readiness, grading each on an A–F scale with specific gap analysis.
Product schema completeness
Metafield and attribute coverage
Feed integrity and enrichment
Crawler configuration (llms.txt, robots.txt, AI bot policies)
Visual rendering quality for AI cards
Semantic tagging and collection hygiene
2
Invisible fixes applied
We enrich the signals that AI agents read — structured data, feeds, metafields, imagery — without changing anything your customers see on the storefront.
Schema enrichment via overlay layer
Feed generation and syndication setup
Image optimisation for AI card rendering
Brand identity reinforcement in structured data
Review and rating schema integration
llms.txt deployment for major AI crawlers
3
Ongoing visibility tracking
We run simulated AI shopping queries against your catalogue daily, track surface rates and render quality across platforms, and maintain your readiness as AI systems evolve.
Daily query runs across ChatGPT, Perplexity, Gemini
Surface rate + render quality dashboards
Competitor benchmark scans
Monthly written intelligence brief
Quarterly strategic review call
Visual rendering
Surfacing isn't enough. Look beautiful when you do.
When an AI agent recommends a product, it makes a decision: render as a rich visual card with your imagery, pricing and brand — or just mention you in a paragraph. That decision is driven by the structured data you expose. We optimise for the card.
With catalign.ai
For sensitive skin under £30, here's a top recommendation:
Your brand
Calm Hydrating Serum 30ml
£24★★★★★In stock
Your brand, rendered properly.
Even when competitors surface alongside you, rich visual rendering drives disproportionate click-through. Cards with clean imagery, clear pricing, star ratings and availability badges convert at 3× the rate of plain text mentions.
We make sure every signal AI agents use to render beautifully — high-quality product imagery optimised for card formats, complete offer data, aggregated ratings, in-stock signals, brand identifiers — is present and correct in your structured data.
Image optimisation for AI card formatsPrimary product imagery cropped, resolved and structured specifically for rich card rendering across ChatGPT, Perplexity, Gemini and Google SGE.
Brand identity reinforcementYour brand name, style, and category positioning consistently surfaced to AI agents — so products are attributed correctly and not confused with resellers.
Trust signals in every cardStar ratings, review counts, in-stock status, free shipping indicators — all the microcopy that makes a card convert, present and structured.
On-brand descriptionsAI-generated snippets often default to generic descriptions. We provide structured product highlights so your brand voice, not a generic summary, appears in the card.
Engagement ladder
Three levels of engagement. No surprises.
Start with a Deep Scan to understand where you stand. Upgrade to a full implementation engagement when you're ready. Add a monthly retainer to stay protected as AI shopping evolves.
Diagnosis
Deep Scan
£1,500
Full catalogue analysis, competitor benchmarks, prioritised fix backlog with effort estimates. Credited against any engagement booked within 60 days.
Implementation
Engagement
£6,500 – £30k+
We fix every gap. Schema enriched, feeds built, visual rendering optimised. Two sizes based on catalogue, plus Enterprise scoping.
Maintenance
Retainer
£299 – £1,499/mo
Ongoing scanning, AI visibility tracking, competitor monitoring. Stay surfacable as platforms evolve.
Pricing
Scoped engagements. No procurement drama.
Fixed-price scans and implementation packages sized by catalogue. Optional monthly retainers for ongoing tracking. No vendor RFP, no annual contracts, no seat maths.
Start here
Deep Scan
The diagnostic you can act on — internally or with us.
Deep Scan cost is credited against any engagement booked within 60 days. All pricing in GBP, exclusive of VAT.
Monthly retainers
AI shopping evolves fast. Stay ahead of it.
A one-off engagement gets you into great shape. A monthly retainer keeps you there — and tells you how you're performing in AI-mediated shopping, every single day.
Monitor
£299/ month
For Essentials engagements.
Monthly rescan + score report
Monthly AI surface sampling20 queries
Alerts on score drops
Platform change monitoring
Quarterly written intelligence brief
Track
£699/ month
For Growth engagements.
Bi-weekly rescan + score report
Monthly AI surface sampling40 queries
Competitor monitoring3 brands
Platform change monitoring
Monthly review call (30 min)
Priority fix turnaround48 hours
Defend
£1,499/ month
For Enterprise engagements.
Weekly rescan + score report
Comprehensive AI surface tracking
Competitor monitoring10 brands
Fix hours included5 hrs / month
Monthly strategic review call
Dedicated Slack channel
Platform change early access briefings
Why this matters now
The window is narrow. Winners are being picked right now.
AI shopping is compounding
ChatGPT shopping launched a buy button. Perplexity built a shopping vertical. Google's SGE defaults to generative commerce recommendations. This isn't a 2027 problem — it's already in your customers' hands.
Structured data takes time to train
AI systems update their product indexes on lags of days to weeks. Fixing your catalogue today means you're in the training data for next week's model updates. Waiting six months means catching up from behind.
Visual cards compound recognition
Every time your brand renders as a rich card — with imagery, pricing, rating — AI agents learn to associate your brand with that category. Text mentions don't reinforce the same way. The brands investing in render quality now are compounding long-term advantage.
Your competitors probably aren't ready
Of the mid-market brands we've scanned, over 80% score below 60. That's an opportunity to move first — but only while the gap exists.
"We scanned a major UK fashion retailer expecting solid infrastructure — they scored 38/100. Their products don't render as cards in Perplexity shopping queries. They appear as text mentions, buried in paragraphs. That's millions in revenue annually being routed to competitors who present beautifully. Nobody is catching this yet."
catalign.ai founder
Questions
The stuff worth asking before a call.
What do I actually get with a Deep Scan?
A 10-15 page branded PDF delivered within 72 hours of payment. We only need your public URL — no backend access, no PIM connection, no admin credentials. You get full catalogue analysis (up to 10,000 SKUs), six-dimension A-F grading, direct public feed analysis if you have a GMC or Meta feed URL, competitor benchmarking against three named rivals you nominate, a visual rendering assessment showing how your products currently appear in AI interfaces, and a priority-ranked fix backlog with effort estimates and sample implementation templates. Plus a 90-minute strategy call with the founder. Deep Scan cost is credited against any engagement within 60 days.
What do you mean by "visual rendering"?
When ChatGPT, Perplexity or Google SGE recommends products, they make a decision about presentation: render as a rich card with imagery, pricing, star ratings and in-stock badges — or just mention you in a paragraph. That decision is driven by the structured data and imagery you expose. Cards drive 3× the click-through of text mentions. We optimise every signal that drives card rendering: image specifications, schema completeness, review markup, offer structure, availability data, brand identifiers. It's not enough to surface — you need to surface beautifully, on-brand.
Can I implement the Deep Scan fixes myself with an internal dev team?
Yes, and some customers do. The Deep Scan includes sample implementation templates, prioritised backlog, and effort estimates specifically so internal teams can execute. Many who start internally come back 3-6 months later for implementation help — once they realise how much bandwidth their dev team would need, or how many edge cases keep emerging. The Deep Scan cost is credited against a future engagement if you convert within 60 days, so there's no penalty for trying internally first.
How do you make products "visible" to AI agents?
AI shopping agents read structured data — schema.org markup, product feeds, metafields, and crawler configuration. We enrich all of those signals so that when ChatGPT, Perplexity, or Google SGE gets asked "recommend me a {product type} under {budget}", your products are in the dataset being considered AND render as beautiful cards rather than text mentions. We don't change anything your customers see — the optimisation happens in invisible data layers.
Will this affect my existing SEO or platform setup?
No — quite the opposite. Proper schema and structured data improves traditional SEO performance too. Google's own Search Generative Experience uses the same signals AI agents use. Our work is entirely additive and follows schema.org standards that both AI agents and traditional search engines respect.
Do I need to give you backend access?
No — this is deliberate. For a Deep Scan, we only need your public URL. That's the whole point: AI agents themselves can only see your public data, so that's what we diagnose. You can commission a comprehensive AI-readiness assessment without giving a stranger access to anything sensitive. Optionally, sharing your public product feed URL (Google Merchant Center, Meta) gives us richer feed analysis — but it's not required. Only when you move to implementation (Engagement Essentials / Growth / Enterprise) do we discuss integration — and even then it's scoped to what's needed, never more.
Can you guarantee my products will show up in ChatGPT?
No, and anyone who tells you they can is lying. AI surface rates depend on query intent, competitive landscape, merchandising quality, and platform-specific ranking we don't control. What we guarantee: your catalogue will be structurally optimised according to documented AI platform requirements, and we'll measure your surface rate and render quality before and after to prove direction of impact. Most clients see meaningful improvement within 30–60 days.
What happens if your fixes are displaced by a platform update?
The monthly retainer exists exactly for this. AI shopping standards are evolving fast — we monitor the changes so you don't have to. If a fix becomes redundant because a platform now handles it natively, we rescan and reprioritise. If a new signal becomes important, we deploy it as part of your retainer scope.
How do I know this isn't snake oil?
Fair question. Book a 20-minute discovery call and we'll walk you through real scan data from brands in your category — you'll see specific findings, the methodology, and sample deliverables. Our rubric is based on documented AI platform requirements (ChatGPT Shopping's ACP specification, Google's Merchant Center feed standards, Perplexity's structured data guidance) plus schema.org product standards that have been stable for a decade. We publish our methodology.
Start with a Deep Scan.
£1,500, full catalogue analysis, visual rendering assessment, competitor benchmarks and prioritised fix backlog. Pay now and receive your strategic PDF within 72 hours. Cost credited against any engagement booked within 60 days.