A 6-page PDF
One page per LLM, one for gap analysis. 27 data points per keyword.
We query ChatGPT, Claude, Perplexity, Gemini, and Copilot for your top 5 category keywords. You get back a PDF showing exactly where you appear, where your competitors appear instead, and what's missing from your site.
Built by the same team behind FATHOM's agent-discovery stack — the first subsurface SaaS listed in 5 public AI directories. We run this same scan for our $2,000 audit customers. This is the visibility section of that report, automated and priced accordingly.
5-minute delivery. No call required. All sales final — this is a digital report that takes 5 minutes to read and we can't un-send it. If you're unsure, scroll down and read the sample first.
Powered by EVI v0.9 — our open-standard visibility score. Learn more →
What you get
One page per LLM, one for gap analysis. 27 data points per keyword.
An official EVI (Elephant Visibility Index) score, 0–100, broken down into Coverage, Prominence, and Consistency. Plus a letter grade per keyword per LLM.
Up to 10 competitors named per query, with the exact phrases each LLM used to describe them. Ranked by frequency.
A ranked list of 5–12 specific changes: keywords missing from your llms.txt, Schema.org fields absent, content patterns your competitors use that you don't.
Why this exists
Running it manually takes three hours and costs more in API credits than the report price. Most teams skip it.
Sample
Sample report for a real AEC SaaS company. Redacted at their request. We send it on request while we finalize the public sample.
The price anchor
Tell us your domain, your email, and the 5 category keywords you want to rank for. We run the scan and email the PDF in 5 minutes.
How it works
30 seconds. Domain, email, 5 keywords, optional competitor.
$49, one-time. No subscription. No upsell at checkout.
Plus a dashboard link so you can re-check any time.
The DIY math
You can. Here's the honest cost.
| Task | Your time + API cost |
|---|---|
| Sign up for 5 LLM APIs (ChatGPT, Claude, Perplexity, Gemini, Copilot) | 30 minutes + $0–100 in credits |
| Write a query harness (25 structured calls, deterministic settings) | 1–2 hours |
| Parse whether your brand appears in free-form responses | 1 hour |
| Know which 5 keywords to test, and calibrate against competitors | 1 hour research |
| Diagnose the gap — llms.txt, schema, content surfaces | 2 hours (if you know what to look for) |
| Write it up in a shareable format | 1 hour |
| Total | 6–8 hours of your time |
At any reasonable founder rate, that's $600–$4,000 of your time to save $49.
FAQ
ChatGPT-4o, Claude Sonnet 4.6, Perplexity, Gemini 2.5 Pro, and Copilot. We update the specific model versions as they evolve. The report names the exact model tested on the page.
One query to one model tells you nothing. LLMs give different answers on different days, at different temperatures, across different sessions. You need 25 structured calls across 5 models with deterministic settings, parsed into ranks, and diffed against your competitors. That's what the report is.
Every time an LLM retrains — roughly every 3 to 6 months. Also whenever you publish new content or a competitor does. One report is a snapshot. If you want ongoing tracking, see the $2,000 audit or our retainer on the homepage.
No. Nobody can honestly guarantee that. We show you what's missing — you (or we) implement the fixes. Anyone promising guaranteed LLM placement is lying.
No. This is a digital report that takes 5 minutes to read — we can't un-send it. The price is low enough that we'd rather let the sample page do the convincing than argue about refunds later. If the sample doesn't look useful to you, don't buy the report.
SEO is for Google's ranked-results page. This is for the answer an LLM gives when asked a question. Both matter. They're different surfaces, with different mechanics and different fixes.
No. We only need your public domain. The scan runs on our infrastructure and queries the LLMs the same way a buyer would.
Upgrade
The $2,000 Self-Serve Audit includes everything in this report, plus a production-ready llms.txt, a Schema.org vendor block, and 5 public agent-directory registrations. 72-hour turnaround.
See the $2K audit →