🔍 SEO + GEO: How are you getting discovered?
by•
SEO was about being found on Google.
Now AI is becoming the new discovery layer.
For those thinking about GEO...
What’s the biggest change you’ve made so far?
• New content?
• Better documentation?
• Structured data?
• Something completely different?
What methods are actually working better for you right now?
Would love to see what makers are experimenting with đź‘€
423 views
Replies
For me- building topical authrority on brand centred topics is the best bet. Following this thread for insights.
P.S. we just launched this https://www.producthunt.com/products/serprankings where we are showing this for 250+ categories for free
RunEvr
@zeeshan_akhtar1Â Congrats on the launch!
Really fits well with today’s discussion around SEO, GEO, and brand discoverability.
I’m curious, how are you including companies in your search system? Are all brands discoverable in SerpRankings, or is it based on specific criteria/categories?
@adana So right now I have only added the most popular software categories that would be most helpful for folks. I have also added a way for users to suggest new categories that we should track.
Brands are discovered as soon as they feature in the tracked categories and then we keep recording their performance.
And thank you so much for supporting this. Means a lot. Let me know if I can help.
RunEvr
@zeeshan_akhtar1Â Got it! Thanks for explaining.
I’ll definitely go deeper into it. Looking forward to seeing our category and brand appear in your search as well =)
Let's stay in touch.
@adana Yeah if you don;t find the category please inform us via the Add a Category form or just let me know here- whatevre is convenient
minimalist phone: reduce your screentime
I could notice that more people dedicated their time to the FAQ and the footer section (Product Hunt as well) :)
RunEvr
@busmark_w_nika Yes, I think the FAQ part is definitely connected to GEO - AI search prefers clear Q&A formats because they are easier to understand and extract. The footer is probably more about SEO + entity signals (links, brand information, structure).
I’d also add the blog section - consistent, topic-focused content helps build authority and gives AI more context about your expertise.
minimalist phone: reduce your screentime
@adana The most difficult part is to get into the most quoted sources (Wikipedia, Reddit, Forbes etc) :D
RunEvr
For us it's been documentation more than anything. Writing pages that directly answer what people type into ChatGPT etc, not just what ranks on Google. I think writing for the question, not the keyword, is the actual shift.
RunEvr
@adana We've built RezunateLLM, which is a middleware that sits between your code and the LLM providers. Two big pieces: PII Guardrails (catching and redacting sensitive data before it hits the model or leaks back out), and Prompt Management (versioning your prompts, rolling back safely, testing changes without redeploying your app).
Basically, the layer that keeps LLMs safe. We are launching on Product Hunt soon, but if you want an early look: https://www.rezunatellm.com/
Would genuinely love your feedback or any suggestions before launching, seeing that you have launched recently on Product Hunt.
RunEvr
@samran_rezunate_llm Checked out RezunateLLM.
I definitely think it’s interesting enough for a Product Hunt launch. And from my experience, one of the strongest paths for launch success is building the community around the product before the launch day itself - sharing the problem, collecting feedback, and involving early users.
So I think you’re already moving in the right direction by starting these conversations early.
RunEvr
@elen_tovmasian Agree. Clear structure, helpful content, and good documentation seem to be the common factors that work well for both search engines and AI systems.
Ecommerce rather than SaaS, so adjacent evidence rather than a direct answer.
I crawled 249 UK Shopify and WooCommerce storefronts last month. 2% of homepages exposed any Product markup with prices and availability — while 77% carried some structured data. Schema is there, just not on the products. And only 7 of 248 blocked any named AI crawler, so almost nobody is shutting AI out. They're open and illegible.
Homepage-only, one pass, sample skews toward well-run stores. Numbers and raw data: https://korelens.com/resources/uk-ecommerce-ai-readiness-2026
RunEvr
@yaseen7 Yes, this is a really interesting observation. The gap between “AI can access the site” and “AI can actually understand the products” seems to be the important part here. Open ≠discoverable.
And thanks for the link!
What’s your role? What do you do?
@adana "Open ≠discoverable" is a sharper framing than anything in my write-up — stealing that.
Frontend engineer by day. The crawl came out of a side project called KoreLens — it checks whether a store's product data is legible to AI systems, and whether what the machines read matches what the store actually says. Built for UK ecommerce agencies rather than merchants directly.
Curious what you're seeing on the SaaS side — is anyone in your orbit actually measuring whether AI gets their product details right, or is it still mostly about being mentioned at all?
RunEvr
@yaseen7 I’ve noticed the same trend - being discoverable seems to matter more than being accurate at least for now.
We’re still working on that direction with RunEvr, but we’d rather have less information out there than have AI show incorrect information.
Good luck with KoreLens! Are you planning to launch it on PH?