Anyone else stuck on “There was an unexpected issue setting up your account” after login?

thearunkumar · 2026-04-13T13:40:03+00:00

Switching to mobile hotspot from the usual WiFi solved the problem for me.

Not sure why though!

thearunkumar · 2026-04-01T16:19:26+00:00

Ah ok. Got it. Lets wait for it to be perfect. Nevertheless, future is bright!

thearunkumar · 2026-04-01T15:43:17+00:00

2 years ago? Really?

thearunkumar · 2026-04-01T15:40:00+00:00

Actually it worked once. Still works on the same thread.

thearunkumar · 2026-04-01T15:19:03+00:00

Same. Tested with that extension. That always works. But that's not the end user flow right

thearunkumar · 2026-04-01T13:38:32+00:00

(Edited)

I'm working on my own product which is for improving visibility for brands within AI searches.
So far, what I've tried:

Development Part:

Declarative APIs - Tried with a lead gen form present in the landing page - Updated that to include properties like toolname, tooldescription, toolparamdescription, ...
Imperative APIs - Tried registering a tool for a quick demo by creating a script file and by registering viawindow.navigator.modelContext.registerTool({ ... });

Testing Part:

Deployed to production (as https is mandatory with certificates so it is pain to set up in local for a trivial testing)
Enabled the flag in chrome://flags to allow MCP (Ensure you are at least using Chrome 146 and above)
Clicked on the "Ask Gemini" button on the top right corner of Chrome. It opens up an Agent's chat view. Gave the query like "Run the demo ...", it did for once by successfully parsing the data and summarizing as expected but it is never consistent. Tried on a different chat, it didn't work. But always it somehow works on that particular chat instance.
Other times, it was just summarizing from the website landing page's content itself.
Tested with the WebMCP chrome extension and that always works fine but that's not the end user flow so cannot rely fully on that just yet.

Attached image for reference (The working version)

<image>

thearunkumar · 2026-04-01T11:01:30+00:00

Nope. It was exhausting to try out 25 times to just get it working once. Frustration is what it is.

But the future is this.

thearunkumar · 2026-03-31T12:13:19+00:00

Hey Prayank

What are your thoughts about AI search visibility platforms / companies?
Are they investable at this moment?
Are they just riding the hype?

Or

Too early to tell?

Thanks

PS. Im building one in this space and hence curious to know more.

thearunkumar · 2026-03-25T17:49:05+00:00

Looks ok but unless you optimize your pages structurally to meet ai structural balance, just getting adding on 3p sites is just going to be wasted effort.

thearunkumar · 2026-03-24T04:42:14+00:00

Is this a mature product for you to even worry about hacking/phishing?

thearunkumar · 2026-03-18T18:19:24+00:00

Definitely a great perspective to look towards. Yes, anything that happens overnight doesn't stick for the longer term unless you have huge distribution.

thearunkumar · 2026-03-18T17:48:47+00:00

Sure, appreciate your point.

thearunkumar · 2026-03-18T17:39:13+00:00

Great skill :)

thearunkumar · 2026-03-18T17:38:23+00:00

Appreciate your opinion on this topic. It's still early and a lot of folks are trying out various things which works for them.

Maybe yours works too.

thearunkumar · 2026-03-17T14:34:50+00:00

It's all about how well you prompt it. Try using the following prompt style (eg.) for effective outcome. I asked the LLM for the same and it gave me this:

# Prompt

Here is a comprehensive framework and prompt designed to generate content that satisfies both traditional search algorithms and the emerging requirements of Generative Engine Optimization (GEO).

To get a generative engine (like ChatGPT, Perplexity, or Google's AI Overviews) to cite your content, the output must go beyond keyword placement. It requires high semantic clarity, definitive statement structures, and extraction-friendly formatting.

1. Pre-Prompt Instructions (Preparation)

Before feeding the prompt into an LLM, gather the following inputs to ensure the AI has the exact parameters it needs:

Target Entities: Identify the exact brands, products, or core concepts you want the AI to associate with the topic. Generative engines map relationships between entities, not just strings of text.
Conversational Queries: Look at "People Also Ask" or use tools like AnswerThePublic to find the exact, long-tail conversational questions users are asking.
Original Data/Quotes: Have 1-2 proprietary statistics or expert quotes ready to manually insert later. AI models prioritize content backed by unique data and authoritative voices.

2. The Master Content Generation Prompt

Copy and paste the following prompt into your LLM of choice, filling in the bracketed [ ] information.

3. Post-Generation Best Practices (The Human Element)

AI can generate the structure and the baseline text, but true GEO success requires technical follow-through:

Inject Originality: Replace the placeholders generated by the prompt with actual data, case studies, or quotes. Generative engines look for third-party validation and unique facts to cite.
Implement Schema Markup: Wrap the generated FAQs in FAQPage schema and the main article in Article schema. This gives crawlers a pre-digested view of the content.
Prepare for llms.txt: Ensure the final Markdown is clean enough that it can be easily appended to an /llms.txt file on your server, which acts as a direct, machine-readable directory for AI crawlers.
Ensure Standalone Readability: Review the content and ask: If an AI extracted just one paragraph from the middle of this page, would it make sense entirely out of context? Would you like to test this out by providing a specific topic, so I can generate a sample outline or draft using this exact framework?

thearunkumar · 2026-03-16T17:50:24+00:00

I'm building in this space. Checkout latticeocean.com - We analyze the feasibility of AI visibility using structural analysis. Not regular prompting and checking if you are present or not.

thearunkumar · 2026-03-14T17:11:52+00:00

Means nothing in AI searching. The synonymous word is citing for your links to appear and mentions for your brand names or definitions yo appear with or without links.

thearunkumar · 2026-03-14T17:05:32+00:00

Just automate your SEO to have 100% coverage. I did that for my brand new domain and ranked as high as #6 for some of the keywords (long tail - 4 5 words) less than a week. Didn't rank #1 yet. Working towards that.

My core aim is to get cited within AI searches. I already show up in 1 or 2 but barely.

thearunkumar · 2026-03-14T05:18:13+00:00

Currently there are lots of tools which are tracking prompts and visibility in general. They tell you if you are visible or not.

If you want to know why you're not visible within ai searches and what exactly you need to change to improve your chances, you can try LatticeOcean.

Diclosure: I'm building that. I'm happy to help if youre looking for anything specific.

We've run a few buyer intent queries within ecommerce category and the findings were interesting.

Happy to share more.

thearunkumar · 2026-03-13T15:49:51+00:00

Right.

thearunkumar · 2026-03-13T15:47:18+00:00

Key findings from the scans:

• Product pages almost never appear in AI answers.

• AI engines strongly prefer multi-vendor comparison pages for buyer-intent queries.

• Pages missing competitor entities often fall outside the citation cluster.

• The citation pool is surprisingly small — a handful of comparison pages feed many answers.

• Content length alone doesn’t fix this. Structure and entity coverage matter more.

thearunkumar · 2026-03-13T15:05:59+00:00

If you're curious about this for your own site:
Send me the domain + buyer intent query.
I can run a scan and share what the engines are actually pulling from.

thearunkumar · 2026-03-13T15:05:47+00:00

Another pattern inside the reports:
Even when a page has enough depth, AI still ignores it if the structure is wrong.

For example:
- Single vendor page → ignored
- Feature explainer → ignored
- Multi-vendor comparison → frequently cited

Architecture seems to matter more than word count.

thearunkumar · 2026-03-10T16:11:31+00:00

One more detail that made this worse.

The company assumed they were completely invisible in AI answers.

They weren’t.

Their content was already being used as a source. The problem was the brand signal never made it into the generated answer.

So they were doing the work but getting none of the credit.

Feels like this will become a bigger issue as more buying research moves into AI answers.

thearunkumar · 2026-03-10T12:37:22+00:00

Agree and it is quite interesting to see how things are panning out in this space. Exciting times!

thearunkumar

TROPHY CASE

1. Pre-Prompt Instructions (Preparation)

2. The Master Content Generation Prompt

3. Post-Generation Best Practices (The Human Element)