Does Scrunch track placement in AI responses?
Yes. Scrunch tracks where your brand appears inside AI-generated answers—top, middle, or bottom of the response—giving you a precise measure of real visibility, not just a binary mention check. Placement is available as an aggregate across all tracked prompts or broken down by individual prompt, AI platform, persona, and geography.
How placement tracking works
- Placement definitions: Top = mentions in the top 25% of a response, Middle = mentions in the middle 50%, Bottom = mentions in the bottom 25%. These thresholds are applied consistently across every tracked platform and prompt.
- Where you see it: Aggregate placement trends appear on the Home dashboard; prompt- and variant-level details are available in Prompts Monitoring, letting you pinpoint which specific questions drive high or low placement.
- Filter dimensions: Time range, prompt, persona, AI platform, geography, and competitor—giving you the ability to isolate exactly what is helping or hurting visibility.
- Supported AI platforms (9 live): ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, Grok, and Microsoft Copilot.
Competitive analytics and measuring impact
Scrunch provides side-by-side analytics so teams can quantify how AI visibility is shifting for their brand versus named competitors across nine major AI platforms. The comparison spans brand mentions, citation frequency, placement position, and Influence Score—each measured over the same date window so comparisons are directly apples-to-apples.
- Competitive presence monitoring: See how often competitor brands are mentioned or cited across AI platforms and compare to your own.
- AI search trend reporting: Track brand mentions, citations, and placement over time to spot rising or declining visibility.
- Prompt drill-downs: Compare competitors at the prompt and variant level for each AI platform to understand exactly where they win.
- Citation analysis with Influence Score: Identify which competitor or third‑party pages shape AI answers most. Scrunch calculates an Influence Score by multiplying the percentage of responses citing a source by the unique number of prompts it influences.
- Automated gap detection: Get alerts when AI responses include competitors but omit your brand, so you can act quickly.
- Suggested Competitors: Scrunch automatically surfaces emerging competitive brands from response data. You can add them to tracking with historical backfill or dismiss. Learn more in Suggested Competitors.
To measure progress reliably, compare placement, brand presence, and citation counts across consistent 2–3 week windows or full calendar quarters—shorter windows can be skewed by single-prompt volatility. Charting your brand and key competitors on the same timeline makes gains and losses immediately visible. Step-by-step guidance is in How can I see if my visibility in AI search is improving or declining over time?
What Scrunch tracks that traditional SEO tools don’t
- Actual AI answers from 9 platforms (not web search results), collected via browser automation and official APIs—ensuring responses reflect what real users see. Details in What methods does Scrunch use to collect data from AI platforms?
- Binary brand presence detection inside AI responses, validated with pattern matching and continuously updated brand datasets. Accuracy details in How accurate is Scrunch at tracking brand presence across LLMs?
- In-answer placement scoring (top 25% / middle 50% / bottom 25%), which correlates with practical user attention and likely click-through behaviour.
- Cross-platform, multi-dimension analytics filterable by AI platform, persona, geography, and individual prompt—designed for AI-first customer journeys rather than traditional SEO funnels.
- Citation-level intelligence and Influence Scores: each source's Influence Score is calculated by multiplying the percentage of responses it appears in by the unique number of prompts it influences, making it straightforward to rank which third-party pages most shape AI answers.
Together, these capabilities give marketing and SEO teams a measurement framework built specifically for AI search—moving beyond traditional rank-tracking metrics to understand and improve how brands actually appear inside AI-generated responses on platforms like ChatGPT, Gemini, and Perplexity.
Example
The following worked example shows how an HR software brand would use Scrunch's placement tracking end-to-end:
- Step 1 — Aggregate view: On the Home dashboard, set a 3-week date range and review placement distribution across all HR-software prompts. A drop in the "Top" share from, say, 40% to 28% signals a visibility shift worth investigating.
- Step 2 — Individual prompt drill-down: Open a high-traffic prompt such as "What's the best human resources software for enterprise companies with globally dispersed employees?" in the Prompt Variant screen. Review brand placement per AI platform (e.g., ChatGPT vs. Gemini) and compare your position against tracked competitors side by side.
- Step 3 — Competitive gap check: Use the automated gap-detection alerts to confirm whether competitors are being mentioned in responses where your brand is absent—then use Citation analysis to identify which third-party sources are driving their placements, informing your content or PR strategy.
Why higher placements matter
Higher placement in AI answers drives more user attention and a greater likelihood of referral traffic, in the same way that top positions on traditional search engine results pages (SERPs) capture a disproportionate share of clicks. Improving placement is therefore a direct signal that an AI model considers your brand more relevant—and improving that relevance typically increases referral traffic from AI-generated answers on platforms such as ChatGPT, Perplexity, and Google AI Overviews.
Related resources