# aimentionsyou.com

> one-time AI visibility audit. 20 hyper-specific queries hand-built for your exact product, market and competitors — category-balanced across Discovery, Framing, Reputation and Competitive intent (exact mix calibrated per industry) — run across ChatGPT, Claude, Perplexity, and Gemini, 3 times per question = 240 real conversations across 80 cells (every run browseable in the companion link), in your customers' home-market language, then shipped as a 15+ page PDF with 5 copy-paste fixes within 24 hours. Score has dual cell-metric: best-case (named in any run) + stable-case (named in majority of runs) — the gap exposes which cells the LLM is uncertain about (hallucination spread). €149 one-time, plus optional Visibility Monitoring at €99/month (cancel anytime, first month free after an audit). Custom Done-for-You drafting available on request. Built by custom-trained AI, quality-gated before delivery. No dashboard, no sales call. Signal over volume — the other tools test if AI knows your brand name; we test if AI recommends you to someone who's never heard of you.

## key URLs

- [Homepage](https://aimentionsyou.com/): what we do, how it works, pricing, FAQ. positioning vs Profound and Otterly.
- [Order the audit](https://aimentionsyou.com/order): €149 checkout. delivers PDF in 24h, no call required.
- [Sample report PDF](https://aimentionsyou.com/samples/sample-audit.pdf): full 15+ page sample audit so buyers see the deliverable before ordering.
- [Transparency page](https://aimentionsyou.com/transparency.html): we run our own audit on ourselves every Monday and publish the raw data. weekly score, top 3 competitors cited, queries tested.
- [Imprint](https://aimentionsyou.com/imprint.html): German Impressum, contact info.
- [Privacy](https://aimentionsyou.com/privacy.html): GDPR privacy policy.
- [Terms](https://aimentionsyou.com/terms.html): terms of service, refund policy.

## what we sell

- **AI Visibility Audit, €149 one-time.** 15+ page PDF + indexable web report. 20 hyper-specific queries × 4 engines (ChatGPT, Claude, Perplexity, Gemini) × 3 runs each = 240 real conversations across 80 cells. Every run browseable in the companion link. Queries are hand-built per customer from product, market and competitors — not templated. Run in the customer's home-market language (auto-detected from TLD, overridable at checkout). Every answer scored across 4 LLMs. Visibility score 0-100, money-on-the-table estimate, 5 copy-paste fixes, 30/60/90-day roadmap, companion report with every conversation. Quality-gated before delivery (15-check verification + 8 independent reviewer agents). Delivered in 24h.
- **Visibility Monitoring, €99/month.** Monthly re-scan of the same audit set, trend tracking, change-detection. Email alert when things move. Cancel anytime. First month free if started after an audit.

Need more help (shipping the fixes — schema, wikidata, content, listings)? Custom Done-for-You is available **on request**. Email hello@aimentionsyou.com for a custom quote within 24h.

## how the audit works

1. customer pays €149 via Stripe and submits brand, domain, category, 1-sentence business description and 3 competitors via short intake form. home-market language is auto-detected from the domain TLD (.de → German, .pl → Polish, .fr → French, .com → English) and overridable.
2. our custom-trained AI study the customer's product, market and named competitors and hand-build 20 category-balanced queries across four intent categories: unbranded buyer-intent (Discovery), a 2:2 mix of unbranded problem-first + branded accuracy probes (Framing), sentiment probes (Reputation), head-to-head comparisons (Competitive). The exact category mix is calibrated per industry. Queries are written in the customer's home-market language, not English by default. Methodology has been refined over hundreds of brand audits.
3. each of the 20 queries runs through ChatGPT, Claude, Perplexity, and Gemini three times = 240 real conversations across 80 cells. Every answer is captured and scored across the 4 LLMs. We surface dual cell-metrics: best-case (named in any of 3 runs) + stable-case (named in majority). The gap between them is the hallucination spread — cells where the LLM is uncertain about the brand. Real organic citations are differentiated from live-fetch retrievals so the visibility number is honest.
4. visibility is scored 0-100 across four dimensions: LLM mention rate (40 pts), extractability (30 pts), authority signals (20 pts), schema markup (10 pts).
5. 5 specific quick wins are hand-written, ranked by impact/effort, with copy-paste code or content snippets.
6. every report passes a 15-check verification gate + 8 independent reviewer agents (intel-reviewer, prompt-reviewer, scrape-sanity-check, classifier-sample-reviewer, report-reviewer, quickwins-reviewer, render-reviewer, email-reviewer) before delivery.
7. PDF + companion report link delivered to inbox within 24 hours.

## who we compete with

- **Profound** ($499+/mo): enterprise dashboard. requires sales call. built for Series A+ marketing teams, not founders. we are cheaper, faster, ship a deliverable.
- **Otterly** ($29-89/mo): self-serve SaaS monitoring. customer sets up queries, customer interprets data, customer writes fixes. we do the work end-to-end, single payment.
- **Peec AI** (€89-424/mo): mid-market European tracking platform. multi-language, ongoing monitoring. we are the one-shot diagnostic, complementary rather than competitive.

## who this is for

- early-stage B2B SaaS founders (€0-50k MRR) who suspect AI search is moving market share but cannot afford $499/mo for a dashboard they will not check.
- marketing leads at growth-stage SaaS who need an outside diagnostic before pitching internal AI-visibility budget.
- agencies who want to white-label one-shot audits for their own clients.

## methodology + raw data

- queries are not templated. each customer gets 20 queries hand-built per audit by our custom-trained AI, with explicit category balance enforced across four intent types: Discovery (unbranded — pure buyer-intent that a stranger would type, must NOT mention the brand), Framing (2:2 split — 2 unbranded problem-first questions where buyers describe the issue without naming a brand + 2 branded accuracy questions where buyers ask about the brand by name), Reputation (branded — tests sentiment), Competitive (us vs named competitor). The exact category mix is calibrated per industry. Queries are written in the customer's home-market language, not English by default.
- every audit passes a 15-check quality verification + 8 independent reviewer agents before it ships. Checks: file existence, schema, own-domain leak, generic-competitor check, page completeness, PDF size, forbidden-strings scan, locale consistency, visual overflow, cover template compliance, teaser redaction, visual clipping, umlaut hygiene, cover closing length, companion stats coherence. Reviewers: intel, prompt, scrape-sanity, classifier-sample, report, quickwins, render, email. Nothing reaches a customer's inbox without 15/15 PASS + all reviewer gates GREEN.
- every customer also gets a companion report — a private link to every conversation we ran during their audit. Full transparency, nothing to hide.
- we publish our own weekly self-audit results at [/transparency](https://aimentionsyou.com/transparency.html). every Monday we run the same 20-query × 4-engine matrix on aimentionsyou.com itself and publish the score, the competitors that beat us, and the queries we lost. this is the dogfood test: if our service is real, our own score should climb week over week.
- citation methodology is anchored to public research: Wikipedia drives ~48% of ChatGPT citations, Reddit drives 11-25% (Perplexity 24-46%), G2 dominates AEO category queries. see [llms.txt spec](https://llmstxt.org) for the file format used here.

## contact

- email: hello@aimentionsyou.com
- founder: Marco Mori (Lindau, Germany)
- address: Birkachstraße 3, 88131 Lindau, Deutschland
- VAT ID: DE402613336

## FAQ

- **do you need access to my site?** no. we only test public AI answers about the brand. no analytics, no CMS, no admin access.
- **what if my brand is never mentioned?** that is the most common day-1 result. the recommendations show exactly how to change that: which subreddits, which listings, which content gaps.
- **how is this different from regular SEO?** AI answers come from different sources: Reddit, G2, comparison blogs, YouTube transcripts. traditional SEO has near-zero overlap with what large language models cite.
- **refund policy?** if the audit does not have at least 5 actionable findings, full refund within 7 days. no questions.
- **why one-time vs subscription?** most fixes are one-time work. for ongoing monthly re-scans and change-detection, add Visibility Monitoring at €99/mo (cancel anytime, first month free after an audit). we would rather charge once for the diagnostic than pretend a dashboard is a service.
- **why only 20 queries and not 50 or 200?** because 50 generic templated questions are mostly tautological — "what is Acme?" bakes the brand into the prompt. we hand-build 20 hyper-specific queries tuned to the exact product, balanced across Discovery, Framing, Reputation and Competitive intent (exact mix calibrated per industry). 240 real conversations (20 × 4 × 3) beats 200 noisy single-run cells.

- **why 3 runs per question?** LLMs are stochastic — same question, different answer. One run gives one snapshot. Three runs give: stable-cases (named in 2-3 of 3 = LLM reliably knows you), flickery-cases (named in 1 of 3 = at the edge of memory), absent-cases (never named). Other tools ping APIs once with fixed temperature — that's reproducible noise. We run 3 actual sessions. Hallucinations have nowhere to hide: if ChatGPT puts you in California in run 1 and Illinois in run 2, we flag it.
- **what language does the audit run in?** the customer's home-market language. auto-detected from domain TLD (.de → German, .pl → Polish, .fr → French, .com → English), overridable at checkout. an LLM that answers "best driving-school app Germany" in English is not the LLM the customer's buyers are actually using.