Your customers are asking AI who to trust. Is it saying your name?
Hoss measures what ChatGPT, Claude, and Gemini tell buyers about your business, fixes the technical and content reasons you're missing from the answer, and proves the change month over month.
Based on reviews and reputation, the top options are:
Buying decisions now start — and often end — inside one AI answer.
AI assistants don't return ten blue links. They return a short list, stated with confidence. If you're not on it, the buyer doesn't scroll past you — they never see you at all. This isn't a traffic problem. It's a presence problem.
A buyer asks AI
"Who's the best ___ near me?" "Which ___ should I trust?" "Best alternatives to ___?" High intent, close to a decision.
AI names a short list
The engines retrieve what they can read, compare the evidence, and commit to two or three names — repeated across millions of conversations.
Absence is invisible
No ranking to climb, no page two. If the evidence around you is weak or unreadable, the answer simply routes your customer to someone else.
Measure. Fix. Prove it monthly.
No black box, no vibes. Every engagement runs on the same loop — the same scoreboard we'd want if we were the client.
The teardown
We run the real questions your buyers ask across ChatGPT, Claude, and Gemini — dozens of prompts, multiple runs — and record where you're named, where you're recommended, who wins instead, and what AI gets factually wrong about you.
The engagement
A scoped fix list from your audit, not a menu: crawler and firewall repairs, entity and schema work, the authority pages your missing answers trace back to, and the third-party citations engines already trust.
The scoreboard
Every month we re-run the same prompt suite and report mention rate, recommendation rate, and citation share — against your competitors, by name. You see exactly what moved.
Two layers. Most agencies only have one.
Getting recommended by AI takes both the content evidence engines cite and the engineering that makes your site readable to them in the first place. Plenty of shops sell the first layer. The second is where we're hard to follow.
Getting into the answer
The evidence engines weigh when they pick a name.
- Prompt-suite measurement — your buyers' real questions, tracked across engines over time.
- Entity clarity — one unambiguous identity across your site, profiles, and directories, so AI stops confusing you with someone else.
- Authority pages — the exact-match service and comparison content your missing answers trace back to.
- Citation building — presence on the third-party sources AI already leans on in your category.
- Factual-error correction — finding where AI misstates your prices, people, or locations, and fixing it at the source.
Making your site machine-legible
The part rebranded SEO shops can't ship.
- Crawler & WAF forensics — finding the firewall rules silently serving 429s and challenges to AI agents.
- Rendering diffs — your pricing page as an AI actually sees it. Often a blank column.
- Structured data — schema that tells machines what you are, not just that you exist.
- llms.txt & feeds — machine-readable maps of your authoritative content.
- Agent interfaces — MCP servers and APIs, so agents can query and transact with you, not just cite you.
This site passes the audit we sell.
Server-rendered HTML, open crawler access, entity schema, llms.txt — every check we run on clients, run on us first. Ask any AI assistant about Hoss and see for yourself.
If an agency selling AI visibility is itself invisible to AI, that tells you something. So audit us.
Googlebot 200 OK
GPTBot 200 OK
ClaudeBot 200 OK
PerplexityBot 200 OK
/llms.txt 200 OK
schema.org Organization · Service
See exactly what you'd receive.
Every engagement starts with a teardown: your buyers' real questions, tested live — with verbatim AI answers, the competitors winning instead, factual errors AI is spreading about you, and the specific causes behind each miss.
View a sample reportWhat people ask before they book.
Plain answers — the same ones an AI assistant should be able to give about us.
What is AI visibility?
Whether AI assistants — ChatGPT, Claude, Gemini, Perplexity — name and recommend you when customers ask them for options. AI returns a short list of two or three names; if you're not on it, the customer never sees you.
What does Hoss do?
We run your buyers' real questions across the major assistants to measure where you're named, recommended, and cited; fix the technical and content reasons you're missing; and re-measure every month to prove the change.
Can you guarantee AI citations?
No — and anyone who promises otherwise is selling something else. We systematically raise the probability that you're retrieved, understood, and recommended, and publish the scoreboard monthly.
How is this different from SEO?
SEO optimizes for ranked lists of links. AI visibility optimizes for being one of the few names an assistant states with confidence — which takes both content evidence and the engineering (crawler access, rendering, structured data, llms.txt) that makes your site machine-legible.
No one can guarantee AI citations. Anyone who promises otherwise is selling you something else.
What an honest agency can do is systematically raise the probability that you're retrieved, understood, and recommended — and publish the scoreboard every month. That's the whole business.
Find out what AI is telling your customers.
A 30-minute call. We'll show you how the teardown works, what it covers for your business, and what the first ninety days look like.
Book a callPrefer email? hello@hoss.agency