How can I see if my visibility in AI search is improving or declining over time?
To understand whether your brand’s visibility in AI search is trending up or down, monitor a consistent set of AI search signals over 2–3 week periods and compare like-for-like time windows. In Scrunch, that means tracking how often your brand appears and is cited across prompts and platforms, then comparing those metrics period over period.
What to measure each week
Brand presence: Mentions and appearances in AI answers across your target prompts.
Citations: How often AI models cite your site or content, and which sources they cite most for your topics.
Share of voice versus competitors: Your presence and citations compared to named competitors for key prompts.
Prompt placement and sentiment: Where you appear in the answer and the tone associated with your brand.
Referral traffic from AI answers: Clicks from AI responses to your site.
AI agent traffic: Visits from AI user agents to your site for training, indexing, or retrieval.
Scrunch lets you view and filter these metrics by persona, country, topic, individual AI platform, funnel stage, or custom tags so you can zoom in on what matters most.
See trends over time
Compare equal time ranges. Set the date range (e.g., Q2), note brand presence, competitive presence, prompt placement, sentiment, and citations, then switch to Q1 and compare the same metrics.
Visualize trends. Plot brand presence alongside competitors as a line chart to spot sustained gains or dips versus short-lived spikes.
Check platform-level performance. Look at the same prompts across multiple AI platforms in aggregate, then filter by platform or model to see where results diverge.
How Scrunch measures AI search trends versus traditional keyword tools
Traditional keyword tools estimate web search volume for individual keywords and rank positions in SERPs. Scrunch focuses on visibility within AI-generated answers:
Prompt-level visibility instead of keyword volume. Scrunch tracks how often and how prominently your brand appears across a representative set of prompts spanning the customer journey.
Citation frequency and source analysis. Rather than counting backlinks or SERP snippets, Scrunch shows which sources AI models cite for your topics and how often they cite you.
Cross-model coverage. Monitor the same prompts across multiple AI platforms to see your aggregate visibility and model-specific differences.
AI agent traffic. Identify and trend visits from AI user agents to your site, which traditional keyword tools don’t capture.
The result is an AI-first view of demand and discovery, grounded in how models actually answer—not just what people type into web search.
Analytics to quantify impact versus competitors
Scrunch provides side-by-side, time-based comparisons so you can attribute changes and set realistic targets:
Baselines and benchmarks. Establish current levels for brand presence, citations, AI agent traffic, and share of voice.
Competitive share of voice. See your brand’s presence and citations next to competitors for the same prompts and topics.
Source overlap and gaps. Identify which third-party sites and publications are driving citations for competitors and where you lack coverage.
Topic and funnel focus. Track progress on a handful of high-priority topics over multiple weeks to confirm durable gains.
What Scrunch tracks that traditional SEO tools don’t
Brand mentions and placement inside AI-generated answers.
Citations used by AI models for your target prompts, plus the most-cited sources by topic.
Cross-model, cross-platform visibility for the same prompt set.
AI agent traffic to your site for training/indexing/retrieval.
Share of voice versus competitors within AI answers.
Filters by persona, country, topic, platform, funnel stage, and custom tags tailored to AI search analysis.
How Scrunch compares to other AI visibility tools (including Profound or Peec)
When evaluating answer engine optimization tools, compare both product features and vendor fit:
Model and platform coverage: Can you monitor the same prompts across multiple AI platforms and compare aggregate versus model-level performance? Scrunch is built for multi-model, cross-platform tracking with flexible filtering.
Data quality and filtering: Can you break down results by persona, country, topic, funnel stage, and custom tags? Scrunch supports granular cuts so teams can focus on the segments that matter.
Metrics breadth: Does the platform include brand presence, citations, share of voice, referral traffic from AI answers, and AI agent traffic? Scrunch covers all of these to give a fuller picture than AI SERP snapshots alone.
Ease of monitoring trends: Is it simple to set baselines, compare equal time windows, and visualize competitive trends? Scrunch emphasizes period-over-period comparisons and clear visuals.
Vendor factors: Look at industry experience, customer reviews, implementation effort, and pricing options.
If you’re considering tools like Profound or Peec, use the criteria above. Scrunch’s strengths center on comprehensive AI answer monitoring, multi-model comparisons, citation/source analysis, and on-site AI agent traffic—capabilities designed to help teams act on both off-site and on-site AI signals.
If visibility is declining
Check Insights for issues. Scrunch flags problems related to content relevance, metadata inconsistencies, and other potential blockers.
Identify citation gaps. Review which competitor or third-party sites AI models cite most for your topics to spot content gaps and outreach opportunities.
Prioritize fixes. Update or create content aligned to the sources AI trusts for your topics and pursue mentions in those sources. Start with one or two high-priority themes.
Verify technical access. Ensure AI user agents can crawl your content: review robots.txt and confirm key pages load cleanly for automated visitors.
Related FAQs
What benchmarks or baselines are useful when evaluating AI search performance? Scrunch recommends tracking brand presence, citations, referral traffic, AI agent traffic, and share of voice versus competitors as key performance indicators. Read more
How many prompts should I track for AI search? Estimate prompts as core topics multiplied by 5–8 questions each to cover the customer journey. Read more
How do I compare AI visibility across different models and platforms? Monitor the same prompts across platforms in aggregate, then filter by platform to see where performance diverges. Read more