u/Funny-Newt622

With more people using LLMs instead of Google for research, I'm trying to figure out how often our brand actually shows up when someone asks Claude/ChatGPT/Gemini/Perplexity questions in our category — and how we stack up against competitors.

I've come across a few tools (Profound, Otterly, AthenaHQ, Peec AI, Scrunch) but haven't tested them properly yet. Curious if anyone here is actively tracking this:

- Which tool are you using and what made you pick it?

- How reliable is the data — do the citations actually match what you see when you run the prompts yourself?

- Worth paying for, or can you reasonably DIY this with a Sheet and some API calls?

B2B SaaS context if that matters. Appreciate any honest takes — the space feels noisy and half the tools look the same on the landing page.

I run a marketing agency and Claude is core to basically everything we do — research, ad audits, SEO briefs, outbound personalization, the works. Heavy daily usage across the team.

Took me an embarrassing 6 months to notice the pattern: my evening Claude sessions were taking roughly 2x longer than my mornings. Same prompts, same projects, same model. Responses just felt slower to start, and the outputs were oddly mushier — more generic, less of the sharp reasoning I'd get earlier in the day.

Eventually connected the dots: 6pm IST is late morning on the US East Coast. I'm not just dealing with my own latency — I'm fighting for compute against every dev, PM, and analyst in NYC who just sat down with coffee.

What I changed:

Deep Claude work moved to 7–11am IST. Anything that needs real back-and-forth reasoning — strategy docs, complex audits, debugging a tricky prompt — happens in this window. Output quality is genuinely better and I get through way more.

Evenings are review + admin. Editing what Claude generated earlier, sending things, light tasks. Nothing that needs the model to be at its sharpest.

Big async stuff gets queued for off-peak. Bulk audit reports, long research projects — kick them off late and they're done by morning.

Two things I'm curious about:

1. Anyone else in IST/SGT/AEST notice this and build around it? Feels like a real timezone advantage that nobody talks about — your morning is genuinely a quieter compute window.
2. Is there a way to actually verify this? I've been operating on vibes and observed latency. Would love to see if anyone has logged response times across hours.

Or am I just gaslighting myself into thinking I'm sharper in the morning. Entirely possible.