What your competitors are doing to show up in AI search and how to catch up

Your competitor is getting customers from a channel you are not even monitoring. They show up when someone asks ChatGPT for a recommendation in your category. You do not. And the gap is not accidental. They are either doing specific things you are not doing, or they stumbled into AI visibility by building signals that happen to match what the platforms reward. Either way, the result is the same: they are capturing customers you never see.

Conductor's research found that 32% of digital marketing leaders declared Generative Engine Optimization their top priority for 2026, with an average of 12% of digital budgets now allocated to AI search visibility initiatives (MarTech/Conductor, 2026). Your competitors who fall into that 32% are investing real money in a channel you may not have started on yet. And 97% of digital leaders who have started GEO report a positive impact (MarTech/Conductor, 2026). They are not experimenting. They are seeing results.

The good news: the field is still early. Most businesses have not started. ALM Corp's research noted that starting now still positions you ahead of the majority of competitors, because comprehensive AI search strategies remain uncommon (ALM Corp, 2026). You are not trying to catch up to an entrenched industry. You are trying to catch up to the small percentage of competitors who moved first, and the window to close that gap is still open.

How do you find out exactly what your competitors are doing in AI search?

Before you can close the gap, you need to see the gap clearly. Here is the competitive intelligence process that reveals what your competitors have built and what you are missing.

Step 1: Run the AI query audit. Open ChatGPT, Gemini, Perplexity, and Claude. Ask each platform the recommendation questions your customers would ask. "Best [your service] in [your city]." "Recommend a [your category] near me." "Who should I hire for [specific need] in [your market]?" Run 10 to 15 variations. Document every competitor name that appears. Note which competitors show up consistently across multiple platforms versus those that appear on only one.

Step 2: Analyze the winners' digital footprint. For each competitor the AI recommends, investigate what makes them visible. Check their website for structured data using Google's Rich Results Test. Look at their content structure: do they use question-based headers, answer-first formatting, and specific data? Check their Google Business Profile for completeness. Count their reviews on Google, Yelp, and industry platforms. Search their business name across directories to see how many listings they have and whether their information is consistent.

Step 3: Identify the signal gaps. Compare what you found about the AI-recommended competitors to your own digital presence. The gaps will fall into predictable categories: they have more citations across more directories than you do. Their content answers questions directly while yours uses marketing language. They have schema markup and you do not. Their review profile is more recent and more detailed. They appear in industry "best of" lists and you do not.

Semrush's AI Visibility approach recommends comparing the exact pages ranking in traditional search against the pages cited by AI platforms for the same queries (Semrush, 2026). Their research found that only 44.3% of pages in Google's top 10 appeared in at least one AI-generated answer. That means your competitor's AI visibility might come from pages and signals that have nothing to do with the Google rankings you have been competing on.

What are the specific tactics competitors are using to show up in AI search?

AirOps and Kevin Indig's 2026 State of AI Search report identified the patterns that separate visible brands from invisible ones (AirOps, 2026). The data is specific and actionable.

They keep content fresh. Pages not updated quarterly are three times more likely to lose AI citations. More than 70% of all pages cited by AI have been updated within the past 12 months. Only 30% of brands stay visible from one AI answer to the next, and just 20% remain present across five consecutive runs of the same query. Your competitors who keep showing up are the ones updating their content regularly with current data, recent examples, and fresh statistics.

They structure content for extraction. Sequential headings with schema markup correlate with 2.8 time’s higher citation rates (AirOps, 2026). Your competitors' pages have clear H2 and H3 headers that match the questions consumers ask, with the answer in the first sentence of each section. The AI can extract a clean passage without having to interpret marketing copy.

They build mentions AND citations together. Brands earning both brand mentions (name references without links) and citations (linked source references) show 40% higher likelihood of reappearing across AI answers. But only 28% of AI answers include brands with both signals (AirOps, 2026). Your competitors who appear consistently have built both: their name appears in third-party discussions and their content gets cited as a source.

They earn third-party credibility. Approximately 48% of AI citations come from community platforms like Reddit and YouTube, and 85% of brand mentions originate from third-party pages rather than the brand's own website (AirOps, 2026). Your competitors are not just optimizing their own site. They are building presence on the platforms AI systems draw from when constructing recommendations.

They get featured in authoritative lists. Onely's research found that authoritative list mentions account for 41% of ChatGPT's recommendation weight (Onely, 2025). Your competitors who appear in "best of" roundups, industry rankings, and curated directories are feeding the single most influential signal for AI recommendations.

Is it too late to catch up?

No. And the data makes a strong case for why now is the optimal time to start.

AirOps data showed that roughly 60% of AI Overview citations come from URLs not ranking in the top 20 organic results (AirOps, 2026). That means you do not need to outrank your competitors on Google to start earning AI citations. You need to build the right content and entity signals, which is achievable regardless of your current search ranking position.

Academic research estimates that approximately 250 documents are required to meaningfully influence how an AI platform perceives and represents a brand (ALM Corp, 2026). That sounds like a lot, but "documents" in this context includes directory listings, review site profiles, press mentions, social media profiles, forum discussions, and any other web page that references your business. A business with 50 directory listings, 100 reviews, 30 pieces of website content, and 70 third-party mentions has already reached that threshold. The work is not about creating 250 blog posts. It is about building a consistent information footprint across enough sources.

The compounding effect works in your favor once you start. Brands implementing comprehensive strategies report 60 to 80% improvement in brand representation accuracy and sentiment across AI platforms within six to twelve months (ALM Corp, 2026). The first three months lay the foundation. The next three months show measurable improvement. By month six to twelve, you have a materially different AI presence than where you started.

What is the step-by-step playbook to catch up to ai-visible competitors?

Month 1: Foundation. Complete the competitive audit described above. Fix citation consistency across all directories. Implement schema markup. Complete and optimize your Google Business Profile. Set up your baseline AI visibility tracking.

Month 2 to 3: Content and authority. Restructure your key website pages using answer-first format. Create new content targeting the specific queries your customers ask AI. Pursue your first round of earned media placements in industry publications or local press. Begin generating reviews with renewed urgency. Claim listings on niche directories in your category.

Month 4 to 6: Scale and measure. Expand content to cover adjacent topics and queries. Continue earned media efforts. Run your second and third AI visibility audits to measure progress against your baseline. Compare your results to the competitors you identified in Month 1. By this point, you should see your business starting to appear in AI responses for at least some of your target queries.

Month 7 to 12: Compound and defend. Continue all ongoing work. Update existing content quarterly. Expand to additional AI platforms if you started with one. Build deeper topical authority through content clusters. The competitors who started before you are still working. You need to maintain momentum to close the gap and eventually match or exceed their signal strength.

Ongoing: Monitor and adapt. AI citations rotate. Semrush data shows 40 to 60% of cited sources change monthly (Semrush, 2025). Your position is never permanent. Monthly monitoring and continuous optimization are what separate businesses that sustain AI visibility from those that gain it temporarily and lose it.

What if your competitor built AI visibility by accident?

This happens more often than you might expect. Some businesses show up in AI recommendations not because they have an AI search strategy, but because they happened to build a clean digital footprint over the years through good traditional marketing practices. They have consistent directory listings because they used a listing management service. They have fresh content because they blog regularly. They have strong reviews because they have been asking customers for years.

These competitors are vulnerable. They are not monitoring their AI visibility. They are not optimizing for it. They are not defending their position. A business that intentionally builds AI search signals can overtake an accidental AI-visible competitor within six to twelve months because intentional optimization is faster and more targeted than accidental accumulation.

The competitors who are truly hard to displace are the ones who have started intentional AI search optimization and are investing continuously. Against these competitors, the only strategy is to start and to be more consistent, more thorough, and more persistent in building every layer of the AI visibility stack.

Either way, waiting does not help. Every month you wait, the intentional competitors get stronger and the accidental ones become harder to catch. The window to close the gap is open today. It gets smaller every month.

Frequently Asked Questions