Brand sentiment audit
We ask ChatGPT, Gemini, Perplexity and Copilot what your buyers ask, then record and score every answer for accuracy, tone and which sources get cited.
AI search & brand positioning
ChatGPT, Gemini and Perplexity already describe your brand to buyers, with or without your input. Our AI brand positioning service shapes how AI tools talk about your business, so you can guide your brand to show up favourably in LLMs. Start with a brand sentiment audit to see where you stand today.

Why it matters now

Automation
Every page we build ships with structured data, clean semantics and machine-readable business facts. Your ads, landing pages and schema stay in sync, so when an AI crawler reads your site it finds one consistent, current version of your business — not three contradictory ones.
That same structure feeds Google's AI Overviews, Bing Copilot and Perplexity's citation engine, which is where the next wave of qualified traffic is already going.
What's included
We ask ChatGPT, Gemini, Perplexity and Copilot what your buyers ask, then record and score every answer for accuracy, tone and which sources get cited.
Schema markup, entity consistency, clean heading structure and llms-friendly pages so AI crawlers can parse who you are, what you sell and where you operate.
We publish direct answers to the questions buyers type into assistants — comparisons, pricing explanations, definitions — the exact formats models quote.
Directories, review platforms, industry sites and press that the models already read get consistent, accurate information about your business.
Your ad copy, landing pages and structured data stay in sync automatically, so a change to your offer updates everywhere the machines look.
Monthly re-prompts track whether you are mentioned, how you are described, and whether you are cited above competitors.
The process
01
Baseline what AI assistants say about you and your competitors today.
02
Fix schema, entities and site architecture so machines read you correctly.
03
Ship answer-shaped content aimed at the prompts your buyers actually use.
04
Get consistent mentions on the sources the models already trust.
05
Re-prompt monthly, track sentiment shifts and correct drift.
Questions
It is the practice of shaping how large language models — ChatGPT, Gemini, Perplexity, Copilot and Google's AI Overviews — describe your business when a buyer asks about your category. It combines structured data, authoritative content and citation building so the models have accurate, favourable material to draw from.
Traditional SEO wins a ranking position on a page of links. AI search returns one synthesised answer, often with only two or three cited sources. Winning that answer depends on machine-readable structure, entity clarity and being quoted across sources the model already trusts.
We prompt the major AI assistants the way your buyers would, record what each one says about you and your competitors, and score accuracy, tone and citation sources. That gives you a baseline of where you stand today before anything is changed.
No one can guarantee model output. What we can control is the input: accurate structured data, consistent entity information, published answers to the questions buyers ask, and citations on sources the models read. That is what moves the answer over time.
Start here
Fill this out and you'll get a written growth plan — platforms, creative angle, budget range, and the numbers we'd hold ourselves to. Free, and yours to keep either way.
Prefer email? jrabarozzipgi@gmail.com