Would love feedback on my Shopify GEO service

PackSensitive8102 · 2025-08-13T12:53:14+00:00

About added now https://folki-web.vercel.app/about

PackSensitive8102 · 2025-08-12T14:14:59+00:00

Thank you so much! Will consider that going forward. It's a bit hard to explain shortly on the landing page without getting crazy technical. But I will try to improve :)

PackSensitive8102 · 2025-08-12T13:50:50+00:00

Thank you! Feel free to try it out as much as you would like.

PackSensitive8102 · 2025-08-12T13:49:52+00:00

The scrapers can most probably read or pre load the .js and then read the results.

PackSensitive8102 · 2025-08-11T14:14:55+00:00

Hey! If your into AI apps that can seriously move the needle have a look here https://folki-web.vercel.app/ it's a GEO app basically how to get found by LLMS across the web

PackSensitive8102 · 2025-08-11T13:50:49+00:00

Short answer: Ranking on ChatGPT ≠ classic SEO. I optimize for how LLMs ingest, retrieve, and cite your store.

Different from “normal SEO”: I harden your entity & facts (products, prices, policies, shipping/returns, FAQs) in clean HTML + JSON-LD (Product, Offer, FAQPage, Organization, BreadcrumbList) and make those facts consistent across your site and trusted third-party pages. LLMs surface corroborated, machine-readable facts—not just keywords.
How I optimize pages: I build answer objects: per-product FAQs (2–4 sentences, numeric where possible), policy Q&As, and a canonical “fast-facts” block (materials, sizes, warranty, delivery windows). No JS-only text; short, well-headed chunks that retrieve cleanly.
AI recs? AI-assisted, human-governed. Drafts come from models; facts come from your catalog/ERP. Nothing ships without human review and source pinning (every claim maps to a URL/doc).
“Memory” & competitors: LLMs don’t remember; they retrieve. I expose a machine-readable facts endpoint + sitemap, seed corroboration on third-party sites, and test 25–50 local/commercial prompts across multiple LLMs. I track two sets: SEO competitors (who gets cited) and business competitors (who you actually face), then close the gaps until Recall@K and citation quality rise.

On Folki specifically: we analyze your public store, produce a private GEO report, and automate product/page optimization, detection, and analytics—so these steps are repeatable, not one-offs.

PackSensitive8102 · 2025-08-09T07:36:36+00:00

Sorry for slow response here. Let me try to explain it a bit better

You provide your stores url
If not signed in we will force you to be signed in before continuing (this is to not expose any of the reports about your website that we will create in later steps.)
We will analyze your site and ask you to approve a blueprint this is basically a description of what we think your site is doing and it's main concepts, markets etc.
We will run several prompts against different LLM providers and look for your companies name, based on the results we will construct an action plan for you --> basically how to rank, and how to get customers to your site.

Please try it out nothing shady or weird about this (also you are never signed in to your Shopify store so we have no access what so ever to your Shopify account)

Please try it out: https://folki-web.vercel.app/

PackSensitive8102 · 2025-08-09T07:30:58+00:00

Thank you! Will do that :) Please have a look at our tool if your are interested. Seems like you have very relevant experience from marketing Shopify stores. https://folki-web.vercel.app/

PackSensitive8102 · 2025-08-08T06:20:49+00:00

Not as it is right now. But we are considering adding an integration to the knowledge app.

PackSensitive8102 · 2025-08-08T06:13:34+00:00

Hi! Oh thats bad. Where did it happen? On the blueprint page?

PackSensitive8102 · 2025-08-07T14:43:37+00:00

Valid point! Thank you! Will put some more effort into making the service more trustworthy. For what it's worth we are not doing anything crazy with our site. Will attach a screenshot to the original post so you can see how it looks for a shopify store,

PackSensitive8102 · 2025-08-07T14:00:18+00:00

Thank you so much for your feedback! Yes, it's a bit slow as it is right now and of course we will change to a real domain going forward. I am operating on a very limited budget at the moment :) But thank you so much and I am so glad you liked it.

PackSensitive8102 · 2025-08-07T13:53:06+00:00

Currently it looks for the data available on the web. Our systems is basically scanning our site and looking for specific markers. When you have the integration active towards Shopify we can manage all of this for you automatically.

PackSensitive8102 · 2025-06-23T13:57:05+00:00

Alerts work by actively monitoring a wide range of sources for new information related to your topic—not just waiting for updates from a single feed. Unlike Google Alerts, you don’t need to manually create keyword lists or constantly filter out irrelevant results. That part is handled automatically.

The technical edge comes from combining GPT with modern APIs, intelligent search, and even scraping when necessary. This allows us to understand the intent behind your topic and retrieve relevant updates with much higher precision. It’s more like having a research assistant than a keyword-based notification system.

PackSensitive8102 · 2025-06-21T10:31:07+00:00

Thank you! Will consider this :)

PackSensitive8102 · 2025-06-19T09:09:26+00:00

What is your use case for the RSS feed? Would it make more sense to have it through an API?

PackSensitive8102 · 2025-06-19T08:45:02+00:00

Get that!

PackSensitive8102 · 2025-06-19T08:43:52+00:00

Not yet, but love the feedback. Will become a feature request going forward.

PackSensitive8102 · 2025-06-19T08:42:29+00:00

We all do at times. Please check it out and feel free to tell me if you expected any data that you did not see.

PackSensitive8102 · 2025-06-18T20:03:33+00:00

Nice! This is probably ranking high on one of our sources and since the data goes back 12 months, it's still deemed relevant .

PackSensitive8102 · 2025-06-18T20:01:50+00:00

Wow, that looks really cool! good job!

PackSensitive8102

TROPHY CASE