Your Competitor Does Not Need to Be Better Than You
They only need to be easier for AI to understand, trust, and recommend.
Welcome to The BizTek Byte — the newsletter for people who’d rather read about IT disasters than live through one. Quick, useful, mercifully jargon-free. Let’s get into it.
Your next customer may not begin by visiting your website.
They may not carefully examine the search results, open six tabs, compare five companies, and spend Thursday afternoon reading service pages written with all the warmth and personality of an appliance warranty.
Instead, they may ask an AI platform a direct question:
“Which companies are best qualified to solve this problem?”
“What should I look for when choosing a provider?”
“Who specializes in businesses like mine?”
“Which companies have the strongest reputation?”
“What are the best options in my area?”
ChatGPT Search, Google AI Mode, Microsoft Copilot, Perplexity, and other AI-powered tools can collect information from multiple sources and present a consolidated answer. They may mention companies, explain differences, cite websites, summarize reviews, and help the customer build a shortlist before that customer ever contacts anyone.
ChatGPT Search provides timely answers with links to relevant web sources. Google says its AI search features can handle complex questions, explore related topics, and link users to supporting websites. Microsoft has also introduced reporting that allows website operators to see when their pages are cited in AI-generated answers.
This creates an uncomfortable new reality:
Your competitor does not necessarily need to offer a better product or service.
They may only need to provide clearer information, stronger evidence, better third-party validation, and content that AI systems can more easily interpret.
Being excellent and being discoverable are not the same thing.
AI search is beginning to make that distinction painfully obvious.
AI Search Is Not Just Traditional Search With a Chat Box
Traditional search often focused on matching keywords with web pages.
A customer might type:
“Cybersecurity company Little Rock”
“Best business coach”
“Commercial cleaning service near me”
AI search encourages longer, more specific questions.
A customer might ask:
“I operate a 50-person medical practice. What cybersecurity services should a managed technology provider include, and which companies have experience with healthcare compliance?”
That request includes industry, company size, risk, service expectations, and buying intent.
AI systems may break complex questions into smaller searches, gather information from several sources, compare what they find, and assemble a direct response. Google describes this as a process that can explore multiple related topics and produce a more complete answer than a single traditional search query.
This means companies are no longer competing only for a position in a list of links.
They are competing for inclusion in the answer.
That is a much smaller piece of real estate.
There may be no comfortable seventh-place finish. Your company may be mentioned, cited, or recommended. It may also be absent entirely.
AI Cannot Recommend What It Cannot Understand
Many company websites are remarkably good at saying very little.
They promise exceptional service, innovative solutions, dedicated teams, unmatched quality, and customer-focused excellence.
Wonderful.
So does everybody else.
AI systems need specific information that helps distinguish one business from another.
That includes:
-
- who the company serves;
- which problems it solves;
- where it operates;
- what services it provides;
- which industries it understands;
- what experience it possesses;
- how its approach differs;
- what evidence supports its claims;
- what customers say about it;
- which trusted sources mention it.
A company that clearly explains these things is easier to evaluate.
A company that hides behind vague slogans forces both customers and technology to guess.
Technology is not renowned for rewarding ambiguity.
Build Pages Around Real Customer Questions
One of the most practical ways to improve AI search visibility is to publish direct answers to the questions customers already ask.
Start with sales conversations, customer emails, support requests, consultations, proposal discussions, and online reviews.
Identify recurring questions such as:
“How much does this service cost?”
“What is included?”
“How long does implementation take?”
“What can go wrong?”
“How do I compare providers?”
“Which option is right for a business of my size?”
“What questions should I ask before signing a contract?”
“What certifications, experience, or insurance should a provider have?”
Each question can become a useful page, article, video, checklist, comparison guide, or frequently asked question.
The answer should appear near the beginning.
Do not make readers wander through a personal memoir, three inspirational quotations, and the history of Western commerce before telling them what they came to learn.
Give the answer. Then provide the context, evidence, examples, limitations, and next steps.
Microsoft advises that AI systems may break content into smaller sections that can be evaluated for relevance and authority. Clear headings, focused passages, direct answers, and well-structured pages can make information easier to identify and use.
Clarity is no longer merely considerate writing.
It is a competitive advantage.
Create Specific, Evidence-Based Content
Generic content is easy to produce, which is precisely why there is now so much of it wandering around.
AI can generate another article about “Five Benefits of Excellent Customer Service” before anyone finishes pouring the coffee.
That does not make the article valuable.
Content becomes more useful when it includes details that could only come from real knowledge and experience:
-
- original research;
- survey findings;
- case studies;
- customer outcomes;
- expert analysis;
- industry-specific examples;
- proprietary processes;
- benchmarks;
- comparison criteria;
- documented lessons;
- informed opinions.
Instead of publishing “Why Cybersecurity Matters,” explain the five security controls a medical practice should expect from its technology provider.
Instead of publishing “The Benefits of Business Coaching,” explain how an owner can determine whether poor delegation, weak management, or an unclear role is causing the company to depend on them.
Specific content gives AI systems more precise material to work with.
It also gives human readers a reason to trust that the company knows what it is talking about.
Strengthen the Pages That Explain Your Business
Many companies invest heavily in articles while neglecting the pages most likely to explain who they are.
Review and improve:
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- the About page;
- service pages;
- industry pages;
- location pages;
- leadership biographies;
- case studies;
- frequently asked questions;
- contact information;
- credentials and certifications;
- customer review pages.
Make names, locations, services, industries, and areas of expertise consistent across the website.
A business should not describe the same service five different ways on five different pages and then act surprised when technology becomes confused.
Include clear authorship where appropriate. Explain why the author or company is qualified to address the subject. Cite reputable sources. Update obsolete claims, statistics, and recommendations.
Google’s guidance for AI search continues to emphasize the same foundation it recommends for search generally: useful, reliable, people-first content supported by sound technical practices. It does not suggest a secret collection of magical AI tags that can transform weak content into authority.
There is no enchanted button.
How inconsiderate.
Earn Mentions Beyond Your Own Website
Your website can make claims about your company.
Other sources can confirm them.
AI-generated answers may cite and draw information from news publications, review sites, directories, trade associations, partner websites, industry resources, and other third-party pages.
Similarweb’s AI visibility tools specifically track which external sources influence brand mentions and citations inside AI answers. That information can show whether competitors are being supported by publications, reviews, or industry websites where your company is absent.
Useful third-party visibility may come from:
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- legitimate business directories;
- professional associations;
- trade publications;
- local media;
- conference appearances;
- podcasts;
- expert interviews;
- partner websites;
- customer case studies;
- credible awards;
- community organizations.
This is not a license to scatter your company name across every dismal directory the internet has managed to preserve since 2003.
Quality matters.
Relevance matters.
Consistency matters.
A respected industry publication carries more weight than a mysterious website containing forty-seven pop-up advertisements and a glowing profile apparently written by your mother.
Take Customer Reviews Seriously
Reviews provide language that company marketing rarely supplies.
Customers describe what happened, why they chose the business, which problem was solved, and what made the experience different.
Those details can reinforce location, expertise, service quality, reliability, and customer outcomes.
Ask satisfied customers for honest reviews. Respond professionally. Address recurring complaints. Keep profiles current across the platforms that matter in your industry.
Do not script identical reviews or stuff them with awkward phrases designed to manipulate search.
Nothing inspires confidence quite like twelve customers independently writing, “Best advanced cybersecurity managed service provider in Central Arkansas.”
AI systems may be clever, but they have seen a sales brochure before.
Make the Website Technically Accessible
Excellent content accomplishes little when search systems cannot reliably access or interpret the site.
The technical foundation still matters:
-
- allow appropriate search crawlers;
- submit current XML sitemaps;
- repair broken links;
- use descriptive page titles;
- organize pages logically;
- improve mobile performance;
- use HTTPS;
- avoid hiding critical information inside images;
- include useful image descriptions;
- apply accurate structured data where appropriate;
- make important content publicly accessible.
Google states that pages must be indexed and eligible to appear in regular search before they can be included in its AI search features. Its guidance also recommends ensuring that important information is available in textual form and that structured data matches the visible page content.
AI search has not abolished technical SEO.
It has merely given everyone another reason to stop neglecting it.
Monitor the Questions That Influence Buying Decisions
You cannot improve what you never examine.
Create a list of the questions prospective customers are likely to ask AI platforms.
Test questions related to:
-
- best providers;
- local recommendations;
- service comparisons;
- industry specialization;
- common problems;
- buying criteria;
- pricing expectations;
- risks and mistakes;
- alternatives;
- company reputation.
Record which businesses appear, which sources are cited, how your company is described, and where the information appears inaccurate or incomplete.
Paid platforms can automate much of this work by tracking prompts, mentions, citations, sentiment, competitors, and AI-generated traffic. Similarweb and Bing Webmaster Tools now provide forms of AI visibility and citation reporting.
Do not become infatuated with the numbers.
A mention is not revenue.
A citation is not a customer.
AI traffic is only valuable when it produces relevant interest, qualified inquiries, stronger trust, and profitable business.
The purpose of measurement is to improve decisions, not decorate a monthly report.
Keep Your AI Knowledge Current
AI search is moving too quickly for leaders to treat it as a one-time marketing project.
Platforms change. Search behavior changes. Privacy concerns, security risks, vendor practices, and business applications change with them.
That is why business leaders need more than a few clever prompts. They need enough practical AI knowledge to recognize opportunities without ignoring the risks and blind spots.
I explore those leadership responsibilities in my book, Leading in the Age of Artificial Intelligence: A Practical Guide for Business Leaders & Executives Who Want to Use AI Without the Blind Spots.
The book covers the broader knowledge leaders need when adopting AI, including strategy, governance, privacy, security, vendor evaluation, employee use, accuracy, and responsible implementation.
AI search is one piece of a much larger change.
The companies that benefit will not be those that chase every new tool with the enthusiasm of a Labrador discovering an open gate.
They will be the ones that understand the technology, choose useful applications, establish sensible controls, and adapt their business deliberately.
Better Is Not Enough
A competitor may have less experience.
They may provide a weaker service.
They may not understand customers as well as you do.
But when their expertise is clearly explained, supported by evidence, confirmed by outside sources, reinforced by reviews, and presented in a format AI systems can understand, they may become the recommended choice.
That is not fair.
It is also not new.
Customers have always made decisions based on what they can see, understand, and trust.
AI search simply compresses that judgment into a faster process.
Your company does not need to produce endless content or master every new marketing acronym.
It needs to become unmistakably clear about what it knows, whom it helps, what makes it credible, and why it deserves to be included in the answer.
Because your competitor does not need to be better than you.
They only need to be easier to find, easier to understand, and easier to recommend.