How AI Chooses Recommendations and What You Can Influence

AI assistants choose recommendations by matching a request to options that appear relevant, credible and consistently described across their sources. You can influence some of those inputs, such as your own content, your listings, your reviews and how clearly you explain your offer. Others, such as how models are trained, how answers vary and what competitors do, are outside anyone’s control.

What Happens When Someone Asks for a Recommendation

Take the prompt “Which accounting firm in Lyon is good for small e-commerce businesses?” The assistant interprets the needs (accounting, Lyon, small business, e-commerce), draws on what it learned in training and, if it searches, reads a few current web pages. It then names options that fit and summarises why. The answer can change between runs, between assistants, and over time.

What You Can Influence

How clearly you describe yourself

If your site says “we specialise in accounting for online shops, including marketplace sellers and EU VAT”, you give the assistant a direct match. Vague slogans give it nothing.

How consistent your facts are

The same name, services, location and prices on your site, maps listings, directories and profiles.

What others say about you

Genuine reviews, mentions in local or trade media, inclusion in credible comparison articles and membership in professional bodies. You cannot write these yourself, but you can earn them through good work and outreach.

What content exists to answer the question

Focused pages that answer buyers’ real questions, with specific facts and expertise.

Technical access

Whether search engines and AI crawlers can reach and read your pages.

What You Cannot Control

• Model training and updates. No one outside an AI company decides what data is used or when models change.
• Answer variation. The same question can produce different lists.
• Each user’s context. Location, language, previous messages and settings can change results.
• Competitors’ efforts. Others are improving too.
• Paid placement. There is no way to buy a recommendation inside standard AI answers.

This is why any honest provider will talk about improving your chances, never guaranteeing a result. See why no one can guarantee an AI mention.

How Keboost Works on the Parts You Can Influence

Keboost focuses on the controllable side, in a transparent way:

1. Tracking. We run the prompts your customers ask across ChatGPT, Gemini, Claude, Perplexity and Copilot, and record who is mentioned and which sources appear.
2. Finding gaps. We show where competitors appear and you do not, and where your description is weak or wrong.
3. Creating content. We produce focused content built on your real facts to answer those questions.
4. Distributing. We publish and distribute that content so it can be found by search engines and AI tools.
5. Reporting. You see the trend over time, not a one-off screenshot.

We do not post fake reviews, seed forums, buy links or claim special access to AI companies. For a longer explanation of the method, read our method for getting AI to recommend your business.

Where to Put Your Effort First

For most businesses the order is: fix inconsistent facts, clarify positioning on your own site, publish answers to the top ten buyer questions, then work on reviews and outside mentions. Each step makes the next one more effective.

Get Started

See what assistants say about you today: run a free AI visibility check. Plans start at €29 per month for Starter and €99 per month for Professional, with no long-term contract. Details are on our pricing page.