About Mirr
Your next customer won't Google you. They'll ask.
Every day, millions of people ask ChatGPT, Perplexity, Claude and Gemini about brands, products and services. The answers shape buying decisions at scale. Most brands have no idea what AI is saying about them.
Why this matters now
Search gave you a results page: ten links, ten chances to be seen. Assistants collapse that page into a single synthesized answer. One or two brands get named. Everyone else is simply absent. And there is no page two.
Ten results
One answer
Ten blue links gave everyone a chance to be found. One synthesized answer doesn't.
What Mirr actually checks
15 questions × 4 LLMs
Every audit asks 15 realistic buyer questions, discovery, comparison, recommendation, simultaneously on ChatGPT, Perplexity, Claude and Gemini. All 60 answers are logged, answer by answer: are you the first name, in the list, or absent?
9 web-presence signals
Wikipedia, LinkedIn, Schema.org, meta title, meta description, Open Graph, Twitter card, canonical URL and review platforms. Checked deterministically, no AI inference. Present or not.
Identity gap on 6 dimensions
Your positioning against AI's description, scored 0–10 on tone of voice, core values, audience recognition, market position, brand promise and emotional association, with quoted evidence for every score.
Exactly 7 prioritized actions
Every report ends in exactly 7 actions, ranked by impact and effort, each with a concrete first step and a KPI to track in the next cycle.
SEO got you ranked. It won't get you recommended.
SEO optimizes a results page: rank higher, win more clicks. That discipline still matters, but it stops at the edge of the search box.
Assistants don't serve pages. They synthesize one answer from training data and live retrieval, and they decide which brands belong in it. Ranking fourth on Google means nothing to a model that only names two companies.
The levers are different: entity presence (Wikipedia, structured data), consistent positioning language across third-party sources, and corroboration on review platforms. That discipline is GEO, Generative Engine Optimisation, and the Mirr audit is its measurement layer.
The SEO lever
The GEO levers
SEO pulls one page up a ranking. GEO makes you present, consistent and citable on the sources AI actually reads.
Built by Jack&AI
Mirr is a product by Jack&AI, an AI agency in Amsterdam. The idea came from auditing our own clients: when we asked what ChatGPT was saying about their brand, nobody could answer. Not the brand team, not the agency, not the CMO.
We work with brands like Action, Quooker and Jägermeister to integrate AI into their marketing, operations and brand strategy. Mirr turns the blind spot we kept finding into something you can measure, fix and track.
jackandai.com →Built to be checked
A score you can't verify is just an opinion. Four reasons you can take this one seriously:
- The web-presence stage is deterministic: 9 signals, checked yes or no. No AI inference involved.
- Every report is validated against a versioned contract before delivery: always 6 identity-gap dimensions, always exactly 7 actions. Not 6, not 15.
- Every prompt and every formula is published on the methodology page. You can re-run our questions yourself.
- LLMs are non-deterministic: the same question can get a different answer tomorrow. That's why Mirr works in quarterly cycles, not one-off snapshots.
One audit is a snapshot. The cycle shows whether your actions actually moved how AI describes you.