Question Competitive Intelligence Strategy

How do you benchmark your brand against competitors in AI search? Finally found a method that works

BR
BrandManager_Tom · Brand Manager at eCommerce Company
· · 89 upvotes · 12 comments
BT
BrandManager_Tom
Brand Manager at eCommerce Company · January 9, 2026

We’re in the outdoor gear space and I’ve noticed something frustrating. When people ask ChatGPT or Perplexity for product recommendations, our competitors keep showing up and we don’t.

The problem is I have no idea:

  • Who exactly is outranking us - is it the obvious competitors or brands I haven’t considered?
  • By how much - are we close or completely invisible?
  • Why - what are they doing differently that makes AI recommend them?

I’ve been manually testing prompts like “best hiking backpacks” and “top outdoor gear brands” but I can only test so many, and I have no way to track changes over time.

What I’m looking for:

  • Ways to systematically benchmark against competitors in AI platforms
  • Methods to discover competitors I might not know about (substitute products, emerging brands)
  • How to measure and track “share of voice” in AI recommendations

Anyone cracked this? Traditional competitive analysis tools don’t seem to cover AI visibility at all.

12 comments

12 Comments

CM
CompetitiveIntel_Maria Expert Competitive Intelligence Consultant · January 9, 2026

This is literally what I do for a living now. Competitive intelligence for AI visibility is the fastest-growing part of my consulting practice.

The discovery problem you mentioned is real and important.

Most brands only track the competitors they already know about. But AI recommendation engines surface brands based on different criteria than traditional search. I’ve seen cases where:

  • A DTC brand was losing to a Walmart private label they’d never considered a competitor
  • A B2B software company was competing against open-source alternatives they ignored
  • An outdoor brand was being beaten by ultralight specialists they’d never heard of

What actually works:

I use Am I Cited for my clients. Their competitor suggestions feature is exactly what you need - it analyzes all AI responses for your prompts and identifies brands that frequently appear. These are your “AI competitors” even if they’re not your traditional market competitors.

You can then add them to your tracking and see share of voice comparisons over time.

DJ
DataDriven_Jake · January 9, 2026
Replying to CompetitiveIntel_Maria

The discovery feature Maria mentioned is huge. We found 3 competitors we’d completely overlooked - two were niche brands with strong Reddit presence, and one was a European brand we didn’t even know had entered our market.

Turns out AI was recommending them because they had super clear product comparison content and genuine customer discussions on Reddit.

Once we knew who we were really competing against, we could actually develop a strategy.

MS
MarketingVP_Sandra VP Marketing, Consumer Goods · January 8, 2026

Let me share our framework. We’ve been doing AI competitive analysis for about 8 months now.

The metrics that matter:

  1. Share of Voice - What % of AI responses mention you vs competitors
  2. Position - When you are mentioned, where do you appear in the list (first recommendation vs. “also consider”)
  3. Sentiment - Are you mentioned positively, neutrally, or with caveats
  4. Context - Which types of prompts trigger your mention vs. competitors

Our process:

We set up tracking for 8 direct competitors plus discovered 4 more through AI response analysis. Every week we get a report showing:

  • Overall share of voice trends
  • Position changes (who’s moving up/down)
  • New competitor appearances

The insight that changed everything:

Our main competitor had 3x our share of voice. When we dug into WHY, we found they had comprehensive FAQ pages structured as Q&A, strong Reddit presence in r/CampingGear, and were mentioned in several “best of” articles that AI was citing.

We had better products but worse “AI visibility infrastructure.”

SC
SEOMigrator_Chris Expert Former Google SEO, now AI Visibility · January 8, 2026

Coming from traditional SEO competitive analysis, this is a whole different game.

What’s similar:

  • You still need to track rankings (positions in AI responses)
  • Keyword/prompt research still matters
  • Content quality is still king

What’s different:

  • “Rankings” fluctuate way more (AI responses aren’t deterministic)
  • The competitive set is often completely different from Google SERP competitors
  • Authority signals come from different places (Reddit » backlinks for AI)

Tactical advice for the OP:

For outdoor gear specifically, I’d focus on:

  1. Track your top 10 product category prompts (e.g., “best hiking backpack under $200”)
  2. Map out who AI recommends for each prompt type
  3. Look for patterns - are certain competitors dominating specific categories?
  4. Focus your content optimization on categories where you’re closest to winning

Don’t try to beat everyone everywhere. Find the prompts where you’re position 2 or 3 and push to become #1.

PN
ProductManager_Nina · January 8, 2026

We had a similar problem in the SaaS space. Competitors we’d never heard of kept showing up in AI recommendations.

The hidden competitor problem is real.

When we ran analysis, we found:

  • 40% of brands AI recommended were NOT on our competitive radar
  • Many were smaller companies with very focused positioning
  • Some were from adjacent categories (AI was recommending project management tools when people asked about our workflow software)

What helped us:

We started treating AI competitor discovery as an ongoing process, not a one-time project. Every month we check:

  • Who new is appearing in our prompt space
  • Who’s gaining/losing share of voice
  • What content changes might be causing shifts

It’s like a radar system for competitive threats. Honestly wish we’d started this a year ago.

GL
GrowthHacker_Leo Growth Lead at DTC Brand · January 7, 2026

Quick tactical wins we’ve seen for improving competitive position:

1. Comparison content Create genuine “Brand X vs Brand Y vs Your Brand” content. AI loves to cite comparison articles. Make sure you’re in the comparison.

2. Reddit strategy Not just your own posts - get genuine customers discussing you. Offer incentives for detailed Reddit reviews. AI heavily cites Reddit for product recommendations.

3. FAQ optimization Look at what questions trigger competitor mentions. Make sure your content directly answers those same questions. Use the exact phrasing people use.

4. Position tracking You mentioned you can’t track changes over time. This is critical. We use automated tracking that shows us bump charts of position changes. When a competitor suddenly jumps up, we can investigate what they did.

Without tracking, you’re flying blind.

AD
AgencyStrategist_Derek AI Visibility Agency · January 7, 2026

We run competitive analysis for about 30 clients across different industries. Here’s what we’ve learned:

Share of voice benchmarks by industry:

  • Ecommerce (your space): Top 3 brands typically capture 60-70% of mentions
  • SaaS: More fragmented, top 5 usually capture 50-60%
  • Professional services: Very concentrated, often 1-2 dominant players
  • Consumer goods: Highly variable, depends on category maturity

For outdoor gear specifically:

The category is dominated by a few big players in AI recommendations, BUT niche specialists are gaining ground fast. Brands that focus on specific use cases (ultralight, budget, extreme conditions) are winning those specific prompts.

My advice:

Don’t try to compete across all prompts. Identify 5-10 prompts where you should realistically win, and focus your efforts there. It’s better to dominate a niche than be invisible everywhere.

BT
BrandManager_Tom OP Brand Manager at eCommerce Company · January 7, 2026

This thread is gold. Thanks everyone!

Key takeaways I’m implementing:

  1. Set up proper tracking - Going to try Am I Cited to get baseline competitive data and discover hidden competitors

  2. Map the competitive landscape - Not just who we think our competitors are, but who AI is actually recommending

  3. Focus on winnable prompts - Love the advice about picking 5-10 specific prompts to dominate rather than trying to compete everywhere

  4. Track position changes over time - Need that visibility into trends, not just snapshots

  5. Reddit strategy - Had no idea this was so influential. Going to get active in r/CampingandHiking and r/Ultralight

The discovery insight was the biggest unlock. I was so focused on competitors I knew about that I wasn’t seeing the actual competitive landscape in AI.

Will report back with results. Appreciate all the expertise here!

AR
AnalyticsNerd_Rachel · January 7, 2026
Replying to BrandManager_Tom

One more thing to add - when you set up your competitor tracking, make sure to segment by AI platform.

We found our competitive position was completely different across platforms:

  • ChatGPT: We were #4
  • Perplexity: We were #2
  • Claude: We weren’t mentioned at all

Each platform has different training data and citation preferences. A competitor who beats you on ChatGPT might not even appear on Perplexity.

This helped us prioritize - we focused on ChatGPT since that’s where most of our target audience was, but also investigated why Claude wasn’t citing us at all.

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Frequently Asked Questions

How do I identify competitors I didn't know I had in AI search?
AI platforms often recommend brands you wouldn’t consider direct competitors - substitute products, adjacent industries, or smaller players gaining traction. Tools like Am I Cited analyze AI responses to surface these ‘hidden competitors’ based on how often they appear in responses to your target prompts.
What is share of voice in AI recommendations and why does it matter?
Share of voice measures what percentage of AI responses mention your brand versus competitors for relevant queries. If ChatGPT mentions your brand in 30 out of 100 responses and a competitor in 50, they have a higher share of voice. This metric directly impacts how often potential customers see your brand recommended.
How many competitors should I track in AI platforms?
Start with 5-10 direct competitors you know about, then use AI analysis tools to discover additional competitors that frequently appear in your space. Most monitoring platforms allow 5-20 competitors depending on your plan. Focus on competitors who appear in the same prompt contexts as your brand.
Can I track how my position changes relative to competitors over time?
Yes. Advanced tracking tools provide position tracking charts showing how your brand ranking changes over time compared to competitors. This helps identify when competitors gain ground, correlate changes with their content updates, and measure the impact of your own optimization efforts.

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