Revenue Rascals Podcast

The New Front Door to Your Business: How to Become the Company AI Recommends

August 26, 20269 min read

"AI is not a traffic engine, it is an answer engine."

- Michelle Terpstra

Have you ever Today, more customers are skipping the old search process and going straight to AI with one question: Who do you recommend? That means your business is no longer just competing for clicks - it’s competing to become the answer.

If someone asked ChatGPT, Gemini, Perplexity, or Google’s AI for the best business in your category, would your company show up? If not, this post will show you how to build the kind of business AI naturally wants to recommend.

The good news is that you do not need to “game” AI. You need to become clearer, more helpful, and more specific than your competitors. That starts with answers, proof, expertise, and useful digital assets.

The New Front Door to Your Business: How to Become the Company AI Recommends

Why AI Changes the Way Customers Find Businesses

For years, businesses fought to rank on Google. The goal was to show up in the top results and hope someone clicked. But AI changes the behavior completely.

Instead of showing a list of links, AI tries to answer the question directly. That means your customer may never browse 10 websites. They ask one question, get one answer, and move on.

This is why the old mindset of “How do I optimize for AI?” misses the point. The better question is: How do I become the obvious answer?

That shift is huge for small businesses. You do not need a giant marketing team to win. You need to be the clearest expert in your niche and the most helpful source of information around the questions your customers actually ask.[IMAGE: A simple comparison graphic showing old search behavior vs AI search behavior]

1. Build an Answer Library, Not a Random Content Calendar

AI doesn’t recommend businesses in the abstract. It recommends answers.

That means a beautiful homepage that says “We’ve served Utah for 25 years” is not enough. If a homeowner wants to know how much an AC replacement costs, whether they should repair or replace a furnace, or how long installation takes, AI is far more likely to reference the business that has clear, specific pages answering those exact questions.

Your first move is to build an answer library.

Start by listing the top 20 questions customers ask before they buy. Focus on the questions that create hesitation or delay a decision. For example:

  • How much does a new AC cost?

  • Should I repair or replace my furnace?

  • What size HVAC system do I need?

  • How long does installation take?

  • How often should I service my unit?

  • Which brand do you recommend?

  • What financing options are available?

Each question deserves its own page, article, video, or FAQ entry. Not one giant page with everything buried inside it - one question, one strong answer.

This is where AI can actually help you. If you are not sure what questions matter most, ask your team, your sales staff, your technicians, or even the AI tools themselves. You can say, “I’m building a content plan that helps my business get recommended by AI. What questions do customers ask before buying?”

That simple shift turns your content strategy into a practical system instead of a guessing game.

2. Turn Sales Conversations Into Content

One of the biggest content mistakes businesses make is treating content like a separate job from sales.

It is not separate. Every sales call, estimate, objection, email, and customer question is content waiting to happen.

If someone asks, “Why are you more expensive?” that is a blog post, a video, or an FAQ. If a customer wants to know, “Can you match this quote?” that is content. If your technician keeps explaining the difference between repair and replacement, that is your next comparison page.

This is why transcripts, notes, recaps, and recordings matter so much. Your team is already hearing the exact language customers use. You do not need to invent topics from scratch - you need to document what is already being said.

For local businesses, this is especially powerful because your front-line staff already know the real questions. A technician, designer, project manager, or estimator usually has a better sense of customer hesitation than a marketing team ever could.

So instead of asking, “What should we post this week?” ask, “What questions did customers ask us this week?”

That question will generate far better content because it comes from real demand. And it gives you an endless list of assets:

  • A web page

  • A comparison article

  • A short video

  • An FAQ entry

  • A downloadable guide

  • A case study

Your sales process is your content strategy. Once you start treating it that way, you stop creating fluff and start creating material that helps people buy.

3. Build Digital Assets That Keep Working

A lot of businesses post content that disappears almost immediately.

Holiday posts, team lunches, office selfies, and motivational quotes may be fine for social media, but they are not real assets. They do not keep working for you after the post goes live.

If you want AI - and customers - to keep finding you, focus on digital assets.

Assets are pieces of content that keep attracting attention long after you publish them. Examples include:

  • Buyer’s guides

  • Comparison pages

  • Case studies

  • Location pages

  • Downloadable checklists

  • Educational videos

  • Local resource guides

These are the kinds of pages and tools that build trust over time. They help customers make decisions, and they give AI useful information to reference.

This is also where many businesses go wrong: they try to be everywhere. They create content for every platform, chase every trend, and end up exhausted.

You do not need to be a media company.

You need to be a business with a clear message in a few places where your customers actually spend time. Depth beats breadth almost every time.

For example, if you are an enterprise software company, LinkedIn and outbound email may matter more than TikTok. If you run a hat bar, Instagram and short-form video may matter more. The right channels depend on your buyer - not on what’s trendy.

Once you know where your audience is, create one strong piece of content and repurpose it well. A blog post can become a YouTube video, a checklist, a short clip, or a lead magnet. That is how you build a content system without burning out.

4. Use Reviews, Experts, and Specificity to Prove Trust

AI is not only looking for content. It is looking for proof.

That means reviews, expert profiles, and niche positioning matter more than ever.

Turn Reviews Into Recommendation Signals

Most businesses reply to reviews with a simple “Thanks for the review!” That is a wasted opportunity.

A better response adds context naturally. If a customer left a review about a roof replacement after hail damage, your reply should mention the service, location, problem solved, and outcome.

For example: “Thank you for trusting us to replace your asphalt roof after the hail storm in Heber. We’re so glad we could help your family navigate the insurance process and get protected before winter.”

That kind of response gives AI useful context. It reinforces what you do, who you help, and where you work - all without sounding stuffed or robotic.

Show the People Behind the Business

AI also wants to know who the experts are.

Do not hide your team behind a generic website. Show your technicians, installers, project managers, designers, and specialists. Include photos, experience, certifications, specialties, and years in the field.

A business with 20 experienced employees has 20 experts. If your website only shows the founder, you are underselling your own credibility.

People trust people. AI notices that too.

Own a Niche Instead of Trying to Own Everything

The more specific you are, the easier it is for AI to know when to recommend you.

Instead of saying “we’re an HVAC company,” say “we specialize in mountain homes.” Instead of “we install roofs,” say “we help homeowners after hail damage.”

Specific businesses answer specific questions. And AI loves specificity because customers ask specific questions.

If you want to win in the AI era, stop trying to be everything to everyone. Own the topic, the audience, or the problem you solve best.

Your 90-Day AI Recommendation Plan

If you want a simple way to start, use this 90-day plan.

Month 1: Build the foundation

  • Create your answer library

  • Collect the top customer questions from your team

  • Ask AI to help you organize and expand the answers

  • Publish the first set of pages or posts

Month 2: Strengthen trust signals

  • Add comparison pages

  • Update team bios and expert profiles

  • Improve review responses with more context

  • Start documenting sales conversations

Month 3: Build durable assets

  • Publish one or two local resource guides

  • Create case studies from real projects

  • Turn common questions into videos or checklists

  • Review your website for clarity and specificity

Then repeat the process every month.

Ask:

  • What questions did customers ask?

  • What comparisons came up?

  • What reviews did we receive?

  • What case studies can we publish?

  • What resource would help a buyer decide faster?

If you publish a few meaningful assets every month, your website becomes more useful, more trusted, and far more likely to be recommended by AI over time.

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Frequently Asked Questions:

What does it mean to be recommended by AI?

It means AI tools like ChatGPT, Gemini, Perplexity, or Google’s AI mention your business when someone asks a relevant question. Instead of fighting for a click, you are trying to become the answer.

Is AI replacing SEO?

Not exactly. SEO is evolving into a broader trust strategy. Clear content, useful pages, strong reviews, and credible expertise still matter - but now they help you get recommended, not just ranked.

What kind of content works best for AI recommendations?

Content that answers specific questions, compares options honestly, shows real expertise, and proves your results works best. Think FAQs, comparisons, case studies, and local resource pages.

Do small businesses have a chance against bigger brands?

Yes. In many cases, small businesses have an advantage because they can be more specific, more helpful, and more local. AI often rewards clarity and relevance over sheer budget size.

How often should I create new content?

A few strong assets each month is better than a lot of weak content. Consistency matters, but focus and usefulness matter more.

Final Thought

The businesses that win in the AI era will not be the loudest. They will be the clearest, most helpful, and most trustworthy. If you answer the questions your customers are already asking, show real proof, and build useful content assets over time, you give AI every reason to recommend you.

Do not chase the newest trend. Start building answers. That is how you become the business people - and AI - trust most.

Summary

Readers will learn how to turn customer questions, sales conversations, reviews, and expertise into AI-friendly content that helps their business get recommended more often.

Michelle Terpstra

Michelle Terpstra

Michelle Terpstra is a revenue strategist, fractional Chief Revenue Officer, and founder of Revenue Rascals. She helps founders, sales leaders, and high-performing teams build revenue engines that actually work. With over 20 years of experience in sales, leadership, and business development, Michelle has led and trained thousands of sellers, built and scaled sales teams, and helped companies move from founder-led selling to repeatable, scalable growth. Her approach blends disciplined execution with relationship-driven selling, proving that sustainable revenue is built through clarity, accountability, and systems—not hype. Through her writing and the Revenue Rascals podcast, Michelle shares practical, field-tested strategies on lead generation, sales leadership, execution, and building high-performance cultures without burnout.

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