u/BugBoth

I am doubting they actually fixed it.

Below is the problem I was having.

They just emailed me they "fixed" it, but i'm not sure they even tested it because that "fix" doesn't seem to line up with my issue...or does it?

Issue I reported to them:

"Bought the gun brand new on June 7th. First trip to the range, after shooting about 21-25 rounds consecutively (shoot 7, reload, shoot 7 reload, etc) 2 of the 7 chambers would not rotate. Even when removing the spent brass the cylinder would not rotate. Once the revolver cooled down you can dry fire it and all 7 chambers allow the cylinder to rotate. Load up some ammo and once the gun heats up again the cylinder then again begins to seize up on 2 of the 7 chambers. Seems like the heat expands the cylinder and there are high spots on the cylinder and the expansion binds it from rotating until it cools down. "

Their Response:

"SAR Details:

Original Case: , Padlock: , Internal Lock Keys: , Grips: Yes, Scope Ring Set: , Cylinder: 1, Moon Clips: , Other Comments:

Additional Notes:

RETURNING FIREARM

ADJUSTED ENDPLAY

REPAIR, SAFETY FUNCTION CHECK, RANGE TEST & CLEANING HAVE BEEN COMPLETED. RELEASED FOR SHIPPING"

Has anyone else landed in this weird spot where you can see your brand showing up (or not showing up) when you type stuff into ChatGPT and Perplexity, you know it's affecting pipeline, and you have no clean way to track it at scale without losing your mind? I tried to do it manually for a few weeks. Spreadsheet of prompts, run them across six platforms, log who got cited, screenshot the citations, repeat next week. It works fine for ten prompts. Past that you're cooked. So I started looking at the tools that do this for you, and most of them are either expensive, confsuing, or both. Sharing my notes in case it saves someone else the rabbit hole.

Quick context for calibration: B2B SaaS, mid-market, roughly 50 tracked prompts across product, category, and competitor terms, 6 AI platforms, weekly cadence. That's the workload that broke manual tracking for me.

1. Profound Probably the most polished of the bunch and easily the priciest. I believe their entry point is north of a thousand a month and it scales from there. The data is good, the dashboards are good. Works for public companies or anyone with real enterprise budget. For everyone else it's a tough pill.

2. Peec - Tries to show you everything at once. Twelve charts, fourteen filters, four toggles, three tabs. Once you figure out where to look it's actually fine, but the first session feels like a flight simulator. Pricing is more reasonable than Profound, but plan on spending your first week just learning the UI.

3. Otterly - Data is decent, the prompt-by-prompt structure is unique and useful. The product experience itself feels a bit dated. By the third time you're clicking around you start noticing you're doing five clicks for things that should be one click. Not unusable, just not pleasant to live in every day.

4. Nightwatch - This one is mainly a SEO rank tracker that bolted on AI visibility as a side feature. Works fine if you already use them for traditional rank tracking and you want AI mentions in the same dashboard. As a dedicated AI visibility tool it feels like a side bet rather than the main product.

5. AI Sightline - I've been testing this one the longest so it's the one I know most about. It's newer than the others, smaller team, simpler product, way cheaper at the entry tiers. The thing I actually liked is that the visibility score and citation tracking are front and center instead of buried, and they expose an API plus an MCP server, which I haven't seen anywhere else at this price point. I use the MCP in conjunction with an Ubersuggest MCP and pretty much only prompt in Claude Cowork now.

As stated earlier they seem to be a smaller company, less brand recognition, fewer enterprise-y features than Profound. If you need a polished procurement story for a Fortune 500 review board, probably not the move. If you're a marketer trying to figure out where you stand and actually move the number, it's been the easiest to live with. Also, I sh*t you not, the Co-founder sent me an email. THought it was AI spam so I replied, he replied to that. I actually sent him an email about a bug, or what I thought was a bug, and he fixed it and emailed when it was fixed. Pretty cool.

But real talk... is any of this category stable enough to commit to a yearly contract right now? GEO/AIO is like 18 months old as a paid software category. Every tool is iterating fast and the platforms (Perplexity, ChatGPT, Gemini) keep changing what they cite week to week. Curious how others are thinking about lock-in here, or whether anyone has cracked the manual-at-scale problem in a way I haven't found yet.

In the tool I use to track AI Citations for my brands I have noticed pretty interesting metrics that really show how ineffective llms.txt and llms-full.txt files are curently

Most visited pages by AI Bots:

1. /
2. robots.txt (25x more visits than llms.txt file)
3. sitemap.xml (17x more visits than llms.txt file)
   ...
4. llms-full.txt
5. llms.tx

So a whole new crop of tools are popping up everywhere. Massive R&D dumping into AI search.

As a marketer, how are you keeping up with it all?

Are you using tools built just for SEO? Are you implementing new ones focused on AEO?

I am really interested to see where all this ends up in 2 years. Like, budget-wise...how do we slice the little spend we have to track all....this?

https://natlawreview.com/press-releases/ai-sightline-launches-complete-platform-ai-search-analytics

I think Reddit is going to kill AI search and ultimately Reddit.

1. Reddit sells access to our posts to major LLMs. AKA...they sell the data
2. Reddit becomes the primary source for a large portion of LLM query fanout and citations
3. Content creators figure this out and flood Reddit with AI generated content and brand spam

Reddit becomes AI slop - AI creates AI slop, the slop is posted to Reddit, AI suggests it's own slop in citations.

The circle of life has been defined and we're all participating in it's decline.

Spent the past couple months testing tools in this space and kept getting asked about it, so figured I'd write up notes.

Quick context: the gap between Google rankings and AI visibility is bigger than most marketing teams realize. Brands crushing SERPs are sometimes ghosts inside ChatGPT and Perplexity. Different signals, different game, and most of us are only measuring one side of it.

Tools I've actually spent real time inside (no particular order):

Otterly AI Prompt-level tracking across six engines. Easy to set up, pricing scales with prompt volume. I quit because the UX sucks...

Peec AI Strong on source attribution and competitor benchmarking. Clean UI. Costs a bagillion dollars and coulndt justfy the spend anymore.

AI Sightline Daily scans, composite visibility score across six engines including Google AI Overviews, and a recommendations engine that flags the specific pages dragging you down. Also has an MCP server if you want to pipe the data into Claude or Cursor. New and the UX is busy, but good for the price.

Profound Citation pattern analytics. Enterprise-leaning, but the depth of analysis is real. Bruh, so expensive!

LLMrefs Narrower focus on LLM citations specifically. Lighter stack if you only care about ChatGPT and Perplexity. Lightweight but kinda meh.

A few things I've noticed regardless of tool:

1. Add an "AI search / ChatGPT / Perplexity" option to your inbound lead source dropdown. The numbers will surprise you.
2. The brands getting cited consistently aren't the loudest publishers. They're the ones with clean structured data, clear topical authority, and steady third-party mentions.
3. Visibility moves week to week. If you're only checking monthly you're missing most of the signal.

The gap is widening between brands that exist in AI answers and the ones that don't. When someone asks an LLM about your category, either you're in the answer or your competitor is.

What are other people using here? Especially curious about anyone running this across multiple brands or pulling the data into a custom dashboard.