Competitive Research Has Changed: How to Analyze Rivals in AI Search

You used to know exactly where your competitors stood. A quick Google search, a peek at their backlinks, a glance at their paid keywords — done. You had a clear picture of who was eating your lunch and why.

That picture is now incomplete. When a prospect in Coral Gables asks ChatGPT for the best martech consultancy in Miami, the answer doesn't come from page one of Google. It comes from a synthesized response pulled across dozens of sources — and your competitor might be the only name mentioned.

If you're not researching how rivals show up inside AI platforms, you're studying yesterday's battlefield. Here's how to do competitive research in the AI search era — specifically for Miami marketing technology businesses.

Why Traditional Competitor Analysis Falls Short Now

SEMrush, Ahrefs, and SimilarWeb still matter. But they measure a shrinking slice of buyer behavior.

In 2026, a growing share of B2B research starts inside ChatGPT, Perplexity, Claude, and Google's AI Overviews. Buyers ask conversational questions — "who's the best HubSpot implementation partner in Miami?" — and act on the names the model surfaces. They rarely click through to a SERP at all.

That means your competitor's domain authority is no longer the leading indicator. Their AI visibility is. A rival with a thin backlink profile can still get cited above you in ChatGPT if their content is structured for extraction and their brand signals are dense across the open web.

Marketing technology buyers in Brickell and Wynwood especially feel this shift — they're early adopters, they use AI tools daily, and they trust what the model tells them.

How to Research Competitors in ChatGPT and Other AI Platforms

Start with the questions your buyers actually ask. Then run those questions through each major AI platform and document what comes back.

Step 1: Build Your Prompt Set

Write 20 to 40 prompts that mirror real buyer intent. For a Miami martech firm, that looks like:

• "Best marketing automation consultants in Miami"
• "Who can help my SaaS company implement Salesforce in South Florida?"
• "Top AEO agencies serving Miami businesses"
• "How do I choose a martech partner in Miami-Dade?"
• "Marketing technology firms near downtown Miami"

Mix branded queries, category queries, and problem-first queries. The problem-first ones — "my CRM and marketing platform aren't talking, who can fix this in Miami?" — are where most buyers actually live.

Step 2: Run the Prompts Across Platforms

Test each prompt in ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Run them logged in and logged out. Run them on mobile and desktop. Run them with location set to Miami, FL.

Record three things for every response: which competitors get named, the context in which they're framed (positively, neutrally, dismissively), and which sources the AI cites.

Step 3: Map Citation Sources

This is the part most marketers skip. The sources cited by Perplexity and Google AI Overviews tell you exactly which sites are influencing the model's output.

If your competitor gets recommended because of a Clutch profile, a Built In Miami feature, and a guest post on a martech blog — now you know where to invest. AI search competitive intelligence lives in the citation graph, not the link graph.

What to Look For: The Four Visibility Signals

When analyzing competitors on AI platforms, score them on four dimensions.

1. Mention Frequency

How often does the competitor appear across your prompt set? A rival named in 18 of 30 prompts has dominant share of model voice. One named in 2 of 30 does not.

2. Mention Context

Are they described as a generalist, a specialist, an enterprise option, a boutique? AI platforms assign frames to brands based on what the open web says about them. If your competitor is consistently framed as "the HubSpot specialist for Miami startups," that's the position they own.

3. Source Authority

Look at which domains the AI cites when it mentions them. G2, Capterra, Reddit, niche industry blogs, local Miami publications like Refresh Miami — each carries different weight in different models.

4. Geographic Specificity

Does the model associate them with Miami, with South Florida broadly, or with no location at all? Geographic anchoring matters in a market like Miami-Dade where buyers explicitly want local partners who understand the bilingual customer base and the cross-border business flowing through the Port of Miami corridor.

The Local Layer Most Marketers Miss

Miami's martech market has quirks that AI platforms pick up on — and you should too.

Hurricane season runs June through November, and buyer behavior shifts visibly during it. Procurement cycles compress before storm prep and stretch after. If your competitor publishes Miami-specific content tied to seasonal business rhythms, AI models learn that association.

The bilingual market matters as well. Miami-Dade is majority Hispanic, and a meaningful share of buyer queries happen in Spanish or in mixed-language prompts. Competitors with Spanish-language content get surfaced for those queries. If you're only publishing in English, you're invisible to a sizable segment.

Florida's data privacy framework — including the Florida Digital Bill of Rights that applies to qualifying businesses — also shapes how martech firms position their compliance expertise. Rivals who write clearly about FDBR readiness pick up citations you won't.

Turning Research Into Action

Competitive research only matters if it changes what you do. Once you've mapped competitor visibility, do three things.

First, identify the prompts where you're absent and a rival dominates. Those are your priority content gaps. Build pages that directly answer those questions, structured for extraction — clear H2s, direct answers in the first sentence, FAQ blocks, and specific Miami context.

Second, audit the citation sources lifting your competitors and pursue placement on the same platforms. If Perplexity keeps citing a particular industry directory, get listed there.

Third, re-run your prompt set monthly. AI visibility shifts faster than SEO rankings. A competitor can climb or fall in model output within weeks based on content velocity and citation activity.

FAQs

How often should I audit competitor AI visibility?

Monthly at minimum. AI platforms refresh their underlying data and re-weight sources more frequently than traditional search engines. Quarterly audits will leave you reacting to shifts you should have caught weeks earlier.

Which AI platform matters most for Miami B2B buyers?

ChatGPT still drives the largest share of buyer research, but Perplexity is over-indexed among technical and martech buyers because of its citation transparency. Google AI Overviews matter for any query with local intent. Test all three at minimum.

Can I track competitor AI visibility without specialized tools?

You can start manually with a documented prompt set and a spreadsheet. It's tedious but workable for a small competitor set. Once you're tracking more than five rivals across multiple platforms, dedicated AEO tooling pays for itself quickly.

What if my competitors aren't showing up in AI search either?

That's an opportunity. In categories where no one has claimed AI visibility, the first business to publish extractable, well-sourced content tends to lock in the position for months. Miami martech is still one of those categories for many sub-niches.

Closing Thought

Competitive research in 2026 isn't about who outranks you on Google. It's about who the model recommends when a buyer asks a question with your name not yet in it. Map that landscape, find your gaps, and close them deliberately.

Miami marketing technology teams that want a structured AI visibility and competitor audit can reach Askable at https://askable.dev — useful if you'd rather start with a clear picture than build the tracking from scratch.