Why Does ChatGPT Recommend Your Competitors Instead of You?

There's a particularly annoying way to discover that your company has an AI visibility problem.

Ask ChatGPT to recommend the best companies in your category.

Your competitors appear.

You don't.

Maybe that's understandable if they're much larger than you. But sometimes they're not. You know their business. You know their product. You compete against them every day. You may have more customers, more experience or a better offering.

So why does ChatGPT seem to know them better than it knows you?

We've been looking closely at this question at Idea Grove as we've conducted AI visibility audits and worked to improve AI visibility for B2B companies. And the answer usually isn't that your competitor discovered a secret ChatGPT optimization technique.

More often, the internet simply contains more evidence connecting your competitor to the answer.

That's an important distinction.

If you approach AI visibility as another ranking algorithm to manipulate, you'll probably spend a lot of time chasing tactics. If you approach it as an evidence problem, the work becomes much clearer.

Start With the Prompt, Not the Competitor

Before concluding that ChatGPT "likes" your competitor more, look carefully at what you asked it.

Suppose you sell enterprise contact center software.

You might ask:

• What are the best contact center platforms?
• What are the best contact center platforms for healthcare?
• Which contact center platforms are best for large enterprises?
• What are the best alternatives to Competitor X?
• Which contact center software has the best workforce management features?

Those questions may produce completely different answers.

Your company might appear consistently for one and disappear for another.

That's because AI visibility isn't simply a brand score. It depends heavily on the context of the question.

At Idea Grove, when we conduct an AI visibility audit, we're not primarily asking ChatGPT whether it has heard of a company. We're looking at whether the company appears for the prompts that matter to prospective buyers.

That means identifying the categories, problems, comparisons and use cases where you actually want to be considered.

If your competitor appears for 70% of those prompts and you appear for 20%, then you have something worth investigating.

Your Competitor May Be Easier to Understand

Here's one of the simplest explanations for an AI visibility gap:

ChatGPT understands what your competitor does better than it understands what you do.

Companies make this harder than it needs to be.

They invent category names nobody uses. They describe themselves differently on every website. They change positioning without cleaning up old information. Their LinkedIn profile says one thing, their homepage says another and five years of press releases describe the company in three different ways.

Humans can usually piece this together.

Machines have to piece it together too.

Suppose your competitor is consistently described across the web as an "enterprise workforce management platform for healthcare organizations."

Your company calls itself a "human-centric workforce intelligence ecosystem."

Which one do you think is easier to match to a question about healthcare workforce management software?

Creative positioning has its place. But if the public web doesn't clearly connect your company to the category and problems your buyers actually ask about, you're making AI visibility unnecessarily difficult.

The first question I'd ask is therefore not "How do we optimize for ChatGPT?"

It's "Does the internet clearly understand what we do?"

Your Competitor May Have More Third-Party Evidence

This is where things get more interesting.

Imagine two companies with similar products.

Company A has a good website. It publishes regularly. It has hundreds of pages explaining its products, services and expertise.

Company B has all of that too.

But Company B also has executives quoted in industry publications. Its research is cited by other websites. Analysts mention it. Customers review it. Trade associations reference it. Podcasts interview its executives. Industry articles link to its content.

Which company has the stronger public case for being included in a recommendation?

Probably Company B.

The difference isn't necessarily content volume.

It's independent evidence.

This is central to the Trust Signals Framework we've used at Idea Grove for years. A company can make almost any claim it wants about itself. Trust grows when outside sources provide evidence supporting those claims.

Your website says you're an industry leader.

That's a claim.

A respected industry publication includes you among the companies shaping the market.

That's evidence.

You say your CEO is an expert.

That's a claim.

Reporters repeatedly call your CEO when they need someone to explain what's happening.

That's evidence.

The same distinction increasingly matters when AI systems are trying to determine which companies belong in an answer.

Look at Who Is Talking About Your Competitor

If ChatGPT consistently recommends a competitor instead of you, don't just stare at the AI answer.

Investigate the competitor's public footprint.

Search their company name.

Search their executives.

Search the category plus their company name.

Look at who's linking to them.

Look at where their executives are quoted.

Look at the reviews they have.

Look at industry directories and associations.

Look at Reddit and other communities where buyers discuss the category.

Look at podcasts.

Look at research reports.

Look at the sources ChatGPT itself cites when it searches the web.

You're trying to understand what evidence exists for them that doesn't exist for you.

Sometimes the answer will be obvious.

Maybe your competitor has been around for 15 years longer.

Maybe it raised hundreds of millions of dollars and received enormous media coverage.

Maybe it's publicly traded.

You aren't going to erase those advantages with three blog posts.

But other gaps are much more actionable.

Maybe their executives are constantly quoted and yours aren't.

Maybe they've published useful proprietary data and you haven't.

Maybe they dominate industry list articles.

Maybe their customer reviews are much stronger.

Maybe authoritative websites consistently describe them using the exact category language buyers use.

Maybe they're mentioned in comparison articles and you're absent.

Those are problems you can work on.

Media Coverage Matters for More Than Media Visibility

PR has traditionally been measured by how many people might see a story.

That's increasingly incomplete.

A media placement leaves something behind.

It creates a public reference to your company.

It may create a backlink.

It connects your executives with particular areas of expertise.

It can rank in Google.

Other writers may cite it later.

And it becomes part of the body of information available when AI systems search or reason about your market.

We've seen this in our own AI visibility work. Companies with years of consistent earned media often enter the generative AI era with an advantage because the web already contains a substantial record connecting them with their industries.

We've written more about this in our analysis of how AI became a gatekeeper to B2B consideration sets.

This doesn't mean one article in a great publication suddenly makes ChatGPT recommend you.

It means authority accumulates.

A competitor with five years of strong media visibility may simply have more evidence supporting its inclusion than a company that has spent those same five years talking mostly on its own website.

Original Research Can Change the Equation

One of the hardest problems in marketing is getting other websites to talk about your company when you don't have much news.

Original research gives them a reason.

Suppose you sell software to HR leaders.

You could publish another article explaining five trends in employee retention.

Or you could survey 1,000 employees and discover something genuinely surprising about why they're leaving their jobs.

The first piece adds another opinion to the web.

The second adds a new fact.

Journalists can report the fact. Industry websites can cite it. Bloggers can link to it. People can discuss it. Your executives can explain what it means.

Now your company isn't merely commenting on the conversation.

You've contributed something the conversation didn't have before.

That's why we're particularly interested in original research as a Digital PR strategy. It can generate earned media and authoritative backlinks while also creating stronger associations between a company and the subjects it wants to own.

The more credible sources that connect your company with a topic, the less you're relying on your own website to make the case.

Your Competitor May Simply Have Better Content

Third-party evidence matters, but don't use that as an excuse to ignore your own site.

Sometimes the competitor deserves to be more visible because its content is better.

Not necessarily longer.

Not necessarily more frequent.

Better.

Maybe its website answers the questions buyers actually ask.

Maybe its product pages clearly explain who the product is for.

Maybe its comparison pages provide genuinely useful information instead of pretending competitors don't exist.

Maybe its executives publish opinions that aren't interchangeable with everyone else's.

Maybe its articles include original data, examples and firsthand experience.

AI has dramatically lowered the cost of producing average content.

That's not necessarily good news for companies whose content strategy has always been based on volume.

Publishing four generic blog posts a week isn't much of an advantage when every competitor can now do the same thing.

Information gain matters more.

What does your page contribute that wasn't already available?

If the answer is "not much," there's little reason for people—or machines—to treat it as particularly authoritative.

Your Competitor May Be Better Represented in Reviews and Communities

Here's another place companies often don't want to look.

What are actual customers saying?

In an Idea Grove survey of 1,000 U.S. consumers, 98% said they verify an unfamiliar brand before purchasing after an AI recommendation.

And 78% said verified customer reviews would increase their trust in an AI-recommended brand.

That's a useful reminder that the job isn't finished when ChatGPT mentions you.

People still check.

AI systems also have access, directly or indirectly depending on the platform and query, to a web full of independent discussion about companies.

That includes reviews, Reddit threads, forums, professional communities and other places where marketers have relatively little control.

If your competitor has thousands of legitimate customer reviews and you have 14, that's a trust-signal gap.

If buyers regularly mention your competitor when discussing solutions to a particular problem and nobody mentions you, that's an authority gap.

If customers consistently describe your competitor using the same strengths the company claims on its website, that's strong corroboration.

You can't fix those things with schema markup.

You have to build a reputation worth talking about.

Your Competitor May Have a Stronger Entity Footprint

AI systems need to understand not just individual webpages but relationships among things.

A company.

Its executives.

Its products.

Its industry.

Its customers.

Its competitors.

Its areas of expertise.

The clearer and more consistent those relationships are across credible sources, the easier it becomes to understand where the company fits.

This is one reason authoritative reference sites, industry associations, directories, media coverage and consistent company information can matter.

If your competitor is repeatedly described as belonging to a particular category across dozens of independent sources, that's a strong association.

If your company uses five different descriptions of itself and rarely appears anywhere outside its own website, the association is weaker.

Again, the solution isn't to repeat the same keyword 300 times.

It's to build a clearer public record.

Wikipedia Isn't a Shortcut

At some point in almost every AI visibility conversation, someone asks about Wikipedia.

That's understandable.

Wikipedia has historically been an important source of structured information about companies, people and topics, and its content has been widely used across search and AI systems.

But "get a Wikipedia page" isn't an AI visibility strategy.

Wikipedia has notability standards. Companies generally need meaningful coverage in independent, reliable sources before an article is appropriate.

If your competitor has a legitimate Wikipedia article and you don't, that may contribute to a clearer entity footprint.

But look at the cause, not just the result.

The competitor may have a Wikipedia article because it already accumulated significant independent coverage.

The authority came first.

Wikipedia reflected it.

Trying to reverse that sequence is where companies get into trouble.

Your Competitor Might Be Doing Nothing Special

This is worth saying because marketers naturally assume every advantage is the result of a strategy.

Sometimes your competitor has no idea ChatGPT is recommending it.

It may simply be benefiting from 10 or 20 years of accumulated authority.

Years of press coverage.

Years of customer reviews.

Years of conference appearances.

Years of backlinks.

Years of executives being quoted.

Years of industry associations mentioning the company.

Years of people searching for the brand.

Then generative AI arrives and suddenly all of that old-fashioned reputation building has a new use.

We've seen this pattern enough in AI visibility audits that I think it's one of the most important lessons for companies entering this space.

The brands that did the hard work of building authority before anyone had heard the term "generative engine optimization" often start with an advantage.

They accidentally optimized for AI by becoming genuinely well known.

Can You Catch Up?

Yes.

But probably not by Friday.

We've seen measurable AI visibility change over relatively short periods. In one Idea Grove client program, overall AI visibility increased from 47.5% to 52.9% in two months, while ChatGPT visibility increased from 44.6% to 57.9%.

We've written about that work in more detail in our analysis of how long it takes to build AI visibility.

I wouldn't take those numbers and turn them into a promise that every company can gain 13 percentage points of ChatGPT visibility in 60 days.

There are too many variables.

But they do tell us that AI visibility isn't necessarily fixed.

The first step is establishing a baseline.

Identify the prompts that matter.

Measure where you appear.

Measure where your competitors appear.

Look at the sources supporting those answers.

Then compare the evidence surrounding each brand.

That gives you a gap analysis instead of a guessing game.

Build the Evidence Your Competitor Already Has

Once you know why a competitor has an advantage, the work becomes much more practical.

If they're dominating earned media, improve your PR.

If their executives are recognized experts and yours aren't, invest in thought leadership.

If they have authoritative backlinks and you don't, develop Digital PR campaigns that give publishers a reason to cite you.

If they own important topics, create genuinely better content around those topics.

If they have original data, produce your own.

If their reviews are stronger, improve the customer experience and make it easier for happy customers to share it.

If their category association is clearer, clean up the way your company is described across the web.

If they're consistently included in "best companies" and comparison content, figure out why you're absent.

This is much less exciting than discovering a secret ChatGPT hack.

It's also much more defensible.

Don't Try to Manufacture the Signals

Once companies understand that reviews, Reddit discussions, media coverage and other third-party references may influence AI visibility, there's an obvious temptation.

Create them.

Artificially.

That's a mistake.

Don't buy fake reviews.

Don't plant fake customer recommendations on Reddit.

Don't create low-quality websites whose only purpose is to say your company is the best.

Don't publish supposedly independent comparison articles that are really advertisements in disguise.

Even if some of those tactics produce a short-term visibility benefit, you're building on signals designed to deceive people.

That's not a great foundation for trust.

The better objective is to make sure the real evidence about your company exists and is easy to find.

Stop Asking How to Beat ChatGPT

There's a pattern here.

If ChatGPT recommends your competitor instead of you, the instinct is to ask:

What are they doing to ChatGPT that we're not?

Often, that's the wrong question.

Ask:

What does the internet know about them that it doesn't know about us?

Maybe they're better known.

Maybe they're more clearly associated with the category.

Maybe more journalists quote them.

Maybe more customers review them.

Maybe more authoritative websites link to them.

Maybe they've published information other people actually use.

Maybe their executives have spent years establishing expertise.

Maybe they've simply built more trust signals.

Those are things ChatGPT can encounter because they're things the rest of the world can encounter.

And that's why I think AI visibility ultimately brings us back to a much older idea about reputation.

You don't become authoritative because you say you are.

You become authoritative when enough credible evidence exists that other people—and increasingly machines—can reach that conclusion on their own.

If ChatGPT recommends your competitor instead of you, don't start by trying to change ChatGPT.

Start by changing the evidence.