technical changes to exisiting website
Budget: $30 – $250 NZD
Hi,
Remove all unfinished placeholder content
I would like Pause Apparel’s Shopify website to be properly prepared for AI search, AI shopping recommendations and future AI-agent accessibility.
Please audit the current website and advise on the following:
Check the existing Shopify-generated /agents.md, /llms.txt and /llms-full.txt files.
Customise these files where necessary so they clearly communicate:
Pause Apparel
“Art that you can wear”
our focus on distinctive, high-quality, artistic clothing
authentic design, slow fashion and sustainability
our main products and collections
sizing, delivery, returns and contact information
Confirm that all products have complete structured data, including:
product name
detailed description
price and currency
availability
variants, sizes and colours
material and garment care
fit
images and descriptive alt text
shipping and return information
Audit the website’s semantic HTML and accessibility, including:
heading structure
buttons and links
form labels
product filters
search
add-to-cart functionality
image alt text
mobile usability
Assess whether WebMCP can appropriately be added to useful customer actions such as:
product search
product and collection filtering
size or stock enquiries
contact forms
adding products to the cart
Please note that I believe the correct term is WebMCP, not WebMPC.
Please assess Shopify Storefront MCP, Shopify Catalog and Universal Commerce Protocol compatibility, and advise what is already supported natively by Shopify.
Test the website using Google Lighthouse’s agentic browsing and accessibility checks, and provide me with:
the current results
the problems found
recommended actions
what is essential now
what can wait
the once-off and ongoing costs
Please do not install an AI SEO or llms.txt app before confirming what Shopify already provides natively.
The main objective is not simply to add technical files. It is to make Pause Apparel’s products easy for AI systems to understand, accurately recommend and, where supported, help customers purchase.
Remove all unfinished placeholder content
I would like Pause Apparel’s Shopify website to be properly prepared for AI search, AI shopping recommendations and future AI-agent accessibility.
Please audit the current website and advise on the following:
Check the existing Shopify-generated /agents.md, /llms.txt and /llms-full.txt files.
Customise these files where necessary so they clearly communicate:
Pause Apparel
“Art that you can wear”
our focus on distinctive, high-quality, artistic clothing
authentic design, slow fashion and sustainability
our main products and collections
sizing, delivery, returns and contact information
Confirm that all products have complete structured data, including:
product name
detailed description
price and currency
availability
variants, sizes and colours
material and garment care
fit
images and descriptive alt text
shipping and return information
Audit the website’s semantic HTML and accessibility, including:
heading structure
buttons and links
form labels
product filters
search
add-to-cart functionality
image alt text
mobile usability
Assess whether WebMCP can appropriately be added to useful customer actions such as:
product search
product and collection filtering
size or stock enquiries
contact forms
adding products to the cart
Please note that I believe the correct term is WebMCP, not WebMPC.
Please assess Shopify Storefront MCP, Shopify Catalog and Universal Commerce Protocol compatibility, and advise what is already supported natively by Shopify.
Test the website using Google Lighthouse’s agentic browsing and accessibility checks, and provide me with:
the current results
the problems found
recommended actions
what is essential now
what can wait
the once-off and ongoing costs
Please do not install an AI SEO or llms.txt app before confirming what Shopify already provides natively.
The main objective is not simply to add technical files. It is to make Pause Apparel’s products easy for AI systems to understand, accurately recommend and, where supported, help customers purchase.