This is our internal methodology, open for anyone to read — five phases we go through when doing AI Discovery (LLMO) optimization, and a realistic view of what to expect if you hire us.
The phases run in this order because each one depends on findings from the last — we don't skip steps, even when a client is in a hurry.
First we check whether AI models can even access the content, and whether you're currently mentioned when someone asks a question in your field.
AI models don't "read" a site the way a person does — they look for a clear answer near the top of the page, unambiguous definitions, and clearly named entities (who you are, what you do, who it's for).
Whatever the audit flagged as a blocker gets fixed here — including things a person would never notice, but a bot would.
AI models more often cite sources they already "know" from elsewhere on the internet — so part of the work happens off your own site.
The same prompts we tested during the audit phase get repeated on a schedule — that's how we see whether and when the brand starts showing up in AI answers.
No promises of guaranteed results — LLMO is a fairly new discipline and AI models change fast. These are rough timelines based on experience so far.
You get a clear picture: whether AI models mention you today, where the technical blockers are, and what has the highest priority.
Implementation of the llms.txt file, structured data, and core technical fixes. This is the most concrete and fastest part of the process.
Some prompts start returning your brand as a mention or a source — results vary from client to client at this stage.
Ongoing testing shows the trend — whether visibility in AI answers holds and spreads to new prompts.
An overview of the current state, the prompts we tested, and a prioritized list — before we change anything.
llms.txt, structured data, speed, and mobile-friendliness — documented so you know exactly what was done.
Repeated test prompts, concrete examples of mentions, and recommendations for the next step.
A short conversation about your site, your field, and where you show up today — or don't.
Based on that conversation, we propose which phases you need and a realistic schedule.
We move through audit, implementation, and tracking with regular reports — no skipped steps.