More and more, people ask tools like ChatGPT, Google’s AI answers and Perplexity who to buy from. We will work through a few questions about your business and map how to get you named, quoted and recommended. About fifteen minutes, and answers save as you go.
So we know who we are talking to. Answers save in this browser as you go, and you can download or send the completed brief at the end.
The facts AI needs to describe you correctly. The clearer these are, the better we can get you represented.
Why we ask. AI answers are only as good as the facts it can find about you. Getting these right is the single biggest win.
The questions your customers actually ask are the ones we want you showing up for.
Why we ask. We build content around the real questions buyers ask, in their words, so you become the answer they get.
A quick picture of where you stand online and in AI answers right now.
Why we ask. It tells us where the quick wins are, and where you are currently being missed.
Proof and credibility help AI decide to recommend you over someone else.
Why we ask. AI favours businesses it can verify. The more proof you have, the more it puts you forward.
Knowing who you are up against helps us work out how to get you chosen instead.
Why we ask. AI often suggests a shortlist. We want you on it, and ahead of the others.
So we build toward what matters to your business, not vanity numbers.
Why we ask. We tie the work to real outcomes: more enquiries, and better-quality customers.
A few practical things so we can hit the ground running.
Why we ask. The sooner we have access and materials, the sooner you start to see results.
Anything we have not asked that would help us understand your business.
How each part of the conversation maps onto the five AEO workstreams, so discovery becomes a costed, sequenced campaign.
| What you heard | Workstream it feeds |
|---|---|
| Core facts, USPs, inconsistencies (Your business, Right now) | Entity foundation: consistent NAP, profiles, Knowledge Panel, Wikidata, canonical facts across the web |
| Real buyer questions and language (Your customers) | FAQ and answer content: structured, directly-answered pages in the buyer's words |
| Access, platform, crawler and schema checks (Practical bits) | Structured data plan and crawler access: Organization, LocalBusiness, FAQ, Product, Service, Review schema |
| Experts, proof, reviews, competitors (Credibility, The field) | Authority and citation building: named expertise, third-party sources, "best of" and directory placements |
| Goals, priorities, success measures (Your goals) | Measurement and roadmap: baseline, tracked prompts, AI-referral and branded-lift reporting, phased priorities |
Rule of thumb: fix the entity facts and crawler access first, then build the answer content and the authority in parallel, and baseline the AI prompts from day one. Re-run the baseline monthly as the scoreboard.
We read everything shared here, then run our own checks on how AI tools and Google currently describe and recommend you.
From there we come back with a clear plan: what to fix first, the content and proof to build so you get named in AI answers, and how we will measure it. Then we get to work. No jargon, just a plan and results.