u/PrestigiousBet9499
We built an AI visibility tracker. Here's the 3 decisions that nearly broke us — and why we made them.
Building in public a bit here. We track how often brands
show up in ChatGPT, Perplexity, and Google AI answers.
Three decisions caused the most pushback from early users.
Curious if others have thought about this.
We only measure weekly. On purpose.
Early users wanted daily tracking. We said no.
Here's why: AI visibility doesn't move day-to-day.
What actually drives whether ChatGPT recommends you
is your content, citations, mentions, G2/Reddit reviews,
structured data. That stuff moves in weeks or months,
not overnight.
So if you measure Monday vs Tuesday, any difference
in your score is noise, not signal. The engine just
rolled the dice differently. Not because you improved.
Not because you got worse.
Daily tracking is expensive and misleading.
Weekly is a real signal.
Question: do you think weekly is enough?
Or would you want daily even knowing it's mostly noise?
We run each question 3 times and report a rate, not a yes/no.
AI engines are non-deterministic. Ask ChatGPT the exact
same question 3 times and you'll get 3 different answers,
often with different brands mentioned.
So "did you appear?" from a single scan is basically a coin flip.
We run each prompt 3 times and report: mentioned in 2 out of 3,
so 67% probability. That's a real estimate. A single answer is not.
Question: how do other AI tracking tools handle this?
Do they measure once and call it done?
Because that seems like a pretty broken metric to me.
We split prompts into layers and branded questions
don't count toward your main score.
Not all prompts are equal.
Buyer-intent, so "best issue tracker for dev teams",
is where you actually want to appear. Around 55% of scans.
Category questions like "how do small teams manage sprints"
cast a wider net, still unbranded.
Competitor-anchored prompts like "alternatives to Jira"
catch people who are actively shopping the competition.
And then branded prompts like "what is Linear?"
test whether AI actually knows you correctly.
The key decision: branded prompts are excluded
from your headline score.
Why? Because if the question already names you,
of course you'll appear. It would inflate your number
by 15 to 20 points artificially.
So branded questions get their own section:
does AI know you accurately? Not: how visible are you?
Question: does this split make sense to you?
Would you want branded included in the main score
or does that feel like gaming the metric?
Genuinely curious what people think. Especially if you've
tried to track AI visibility yourself and ran into
similar problems or solved them differently.
What's your take?
What si GEO Tracker AI
It's not just a visibility tool.
It's a full system —
from measuring your AI presence
to actually improving it.
We just launched a free AI audit tool (here's what it does)
youtube.comThe dashboard was never the hard part of AI visibility — the judgment is
Been building in the AI-search-visibility space and noticed every tool (mine included, early on) converged on the same thing: a dashboard that shows your Share of Voice and which sources AI cites instead of you.
But that's the easy 80%. The part that actually moves the needle is judgment a chart can't encode: which gap to close first, whether a cited Reddit thread is still live or archived and useless, whether last week's fix actually changed anything or the number just wobbled.
My takeaway after a lot of these: the measurement is a commodity, the decision-making isn't. Curious how others here handle the "okay, the tool flagged it — now what?" gap.
(Full disclosure: I run one of these tools and wrote up my take here — happy to talk shop either way: https://geotrackerai.com/blog/working-relationship-not-a-subscription)
Google Search Console rolled out AI Overviews + AI Mode impression metrics (Jun 3) — anyone got it on their account yet?
Google announced new "Search Generative AI performance reports" on
June 3, 2026 — first time Search Console exposes AI Overviews and
AI Mode impressions to publishers as a dedicated report.
Source: https://developers.google.com/search/blog/2026/06/gen-ai-performance-reports
What's in it per Google's own writeup:
- Impressions only
- Breakdown by page, country, device, date (hourly to monthly)
- Covers AI Overviews, AI Mode, and Discover AI features
What's NOT in it (yet):
- Click data
- CTR
- Query-level breakdown
Google describes the rollout as "a subset of websites" with no
timeline for general availability. Mine isn't in the subset yet
(checked today, June 14 — still seeing only the standard Performance
report).
A few honest questions for the community:
Has anyone here had it enabled? When did it land for you?
If yes — what does the UI actually look like? A new top-level
report in the left nav, a "Search appearance" filter inside the
existing Performance view, or somewhere else?
For sites that already have it: do the impression numbers feel
directionally sane vs. what your AI visibility tracker is showing?
Asking because the moment GSC starts exposing first-party AI data
is a meaningful calibration milestone for anyone tracking AI search
visibility — but only if the data behaves predictably. Curious what
early-access folks are actually seeing.
I built an open community for AI search visibility (and explained why SEO and GEO are 60% the same, 40% sharply different)
Hey r/GEO_optimization ,
Wrote up why I think SEO + GEO share ~60% of technical fundamentals (sitemap, schema, robots, crawlable HTML) but diverge sharply on signals AI engines actually weight — Reddit/forum citation density, freshness, expertise diversity.
Built a community to figure this out faster than I could alone. 22 threads already, 6 categories. Mostly Reddit-research-driven — same kind of questions you're already asking here, but tactical receipts.
Honest about WHY I'm building it (it serves users AND me — better roadmap, founder authority, long-term moat that funded competitors can't fast-forward).
https://geotrackerai.com/blog/why-we-built-an-ai-search-community-2026-05
Pushback welcome. Especially on the "Reddit weighs more in Perplexity than ChatGPT" claim — if your data says otherwise I want to hear it.
FREE technical AI tools
After X months building a tool that scans how AI search engines cite SaaS brands,
I noticed one thing: 90% of the technical work to be eligible for citation in
ChatGPT, Perplexity, and Google AI Mode is free if you know what you're doing —
and most teams pay agencies or just skip it.
So I shipped a free toolkit today. Browser-side, no signup, no email gate:
▸ llms.txt generator — pick a site type, fill 5 fields, copy the file
▸ robots.txt builder for 18 AI crawlers — three stances (allow all / block
training only / block all) — most teams accidentally block citation bots
thinking they're blocking training bots
▸ JSON-LD generator — Organization / SoftwareApp / Article / FAQPage with
one-click Rich Results Test validation
▸ Free 60-second AI audit at /grader — get a Share of Voice baseline before
doing any of the above
Plus 8 long-form guides covering each tool + 3 per-engine playbooks (ChatGPT,
Perplexity, Google AI Mode) + Reddit citation strategy + measurement.
Why free: the technical-hygiene part is a 60-second-to-5-minute exercise per
signal. Gating that would be gross. Our paid product (GEO Tracker AI) is for
the measurement layer — Share of Voice tracking across engines, 14-day
Outcome Loop, action drafts — the stuff a static file can't do.
Everything in one place:
🔧 Tools: geotrackerai.com/tools
📖 Guides: geotrackerai.com/guides
📊 Free audit: geotrackerai.com/grader
The pillar walk-through with the honest math on what each step delivers:
geotrackerai.com/blog/ai-search-visibility-hygiene-2026
If you've shipped any of these and want a sanity check — happy to take a look.
DMs open.
#AIsearch #GEO #AEO #SEO #buildinpublic
Your company may have strong SEO and still be invisible in AI answers.
I want to test this publicly.
Over the next 7 days, I’ll run an AI visibility stress test for 30 B2B SaaS websites.
Not brand queries.
Real buyer-intent questions like:
“best tool for [use case]”
“alternatives to [known competitor]”
“how to choose [category] software”
“which platform should a small team use for [problem]”
For each company, I’ll check whether ChatGPT and Perplexity can:
recognize the brand
place it in the right category
mention it when the buyer does not know the brand name
describe it accurately
surface competitors instead
This is not a “gotcha” list.
AI answers are unstable. Results depend on engine, query wording, available sources and timing.
But that is exactly the point.
Most companies are still checking Google rankings while buyers are starting their research inside AI systems.
If you want your SaaS included, comment with:
domain + category
I’ll pick 30 from B2B SaaS, AI tools, devtools, analytics and cybersecurity.
I’ll publish the patterns next week.
My prediction:
Some companies with weak SEO will show up surprisingly well.
And some companies with polished websites will be almost invisible.