Competitor benchmarking: track, compare, and act

Why competitor tracking matters for AI visibility

AI search is fundamentally a zero-sum game for brand mentions. When a user asks "What's the best CRM for small businesses?" the AI doesn't list every CRM in existence — it typically names three to six brands. If your competitor is on that list and you're not, they're capturing mindshare at the exact moment a potential customer is making a decision.

Competitor tracking transforms AI visibility from an abstract metric into a strategic tool. Knowing that your visibility rate is 25% doesn't tell you much in isolation. Knowing that your closest competitor is at 40% and gaining ground — that tells you where you stand and how urgently you need to act. Knowing that a second competitor was at 35% last month but dropped to 20% — that tells you there might be an opportunity to claim the share of voice they're losing.

Beyond the numbers, competitive analysis reveals patterns you can't see from your own data alone. Which platforms favor your competitors? Which query types bring up competitors but not you? What is the sentiment when competitors are mentioned? Each of these comparisons points to specific actions you can take.

Setting up competitors in Craawled

Adding a competitor to Craawled is straightforward: navigate to the Competitors page and add each competitor with their brand name and domain. The domain is critical because it enables citation tracking — when an AI platform cites a competitor's website, Craawled detects it and logs it as a competitor mention.

Choose competitors thoughtfully. The obvious picks are your direct competitors — the companies your sales team encounters most often. But also consider adjacent competitors: brands in related categories that AI models might mention alongside or instead of your brand. If you sell project management software, you should track not just other PM tools but also broader work management platforms that AI models might recommend in response to the same queries.

Aim for 3-7 competitors. Too few and you miss important context. Too many and the data becomes noisy. You can always adjust later as you learn which competitors appear most frequently across your tracked queries.

Reading the share of voice data

Share of voice (SOV) is the competitive metric that matters most in AI search. It tells you what percentage of total brand mentions across your tracked queries belong to each brand — yours and your competitors'. If there were 100 total brand mentions last month and your brand accounted for 30 of them, your share of voice is 30%.

SOV is a relative metric, which makes it more actionable than raw mention counts. If the total volume of AI brand mentions in your category is growing (which it is for most categories), a flat mention count might actually represent declining share of voice. Conversely, if total mentions are stable, even small gains in your mention count can represent meaningful SOV improvements.

Watch for shifts in SOV over time. A competitor's SOV climbing steadily usually means they're actively investing in content and authority building. A sudden spike in a competitor's SOV might indicate a major press hit, a viral piece of content, or a new product launch that's captured AI attention. Understanding the "why" behind SOV changes helps you respond strategically rather than reactively.

Identifying and acting on competitive gaps

The most actionable insight from competitor tracking is the gap analysis: queries where competitors are mentioned but you aren't. These are your highest-priority opportunities because they prove two things — that AI models consider the query relevant enough to mention brands, and that your brand isn't making the cut.

For each gap query, investigate why. Pull up the actual AI responses using the Response Viewer and read what the platforms say. Is the competitor mentioned because of a specific piece of content? Because of their presence on a review site? Because they have a stronger Wikipedia page? The reason behind the gap determines your response.

Sometimes the gap is simply a content gap — you don't have a page that clearly addresses the topic. Other times it's an authority gap — you have content but it's not cited by enough external sources. Occasionally it's a positioning gap — your brand description is too vague for AI models to confidently match it to the query. Each type of gap calls for a different tactical response.

• Content gaps: Create authoritative, well-structured content targeting the specific topic
• Authority gaps: Build third-party coverage through PR, reviews, and industry citations
• Positioning gaps: Sharpen your brand description and ensure consistent messaging across all web properties
• Platform-specific gaps: Focus optimization on the specific platform where the competitor outperforms you

Competitive intelligence patterns worth watching

Beyond individual gap analysis, look for broader patterns in how AI platforms treat brands in your category. Some patterns are particularly insightful.

Local vs. global brand dynamics: in categories where both local and global brands compete, AI platforms often favor global brands for generic queries but local brands for location-specific queries. If you're a local business, focusing your queries on location-aware questions can dramatically improve your competitive position.

Niche vs. broad positioning: AI models tend to mention niche brands more frequently for specific queries ("best CRM for real estate agents") than for broad ones ("best CRM software"). If you're competing against larger brands, narrow and specific queries are where you'll find your competitive advantage. Track these separately from your broad queries to get a clearer picture of your true competitive strength.

Sentiment as a competitive differentiator: Two brands can have similar mention counts but very different sentiment scores. If your competitor is mentioned frequently but with neutral or negative sentiment ("Brand X is popular but users often report performance issues"), while your mentions are consistently positive, you're winning the quality battle even if you're losing on raw volume.