TL;DR — Filter the GEO Matrix to BOFU to measure whether AI recommends your brand when users are ready to buy. Dive into Visibility > Responses to check if your pricing and product details are accurate in purchase-intent answers. Compare your BOFU score against MOFU in Compare > By Funnel — a sharp drop means AI educates users about you but routes them to competitors at the decision point. Pro tip: AI models lag 2-6 months on pricing data, so ensure your pricing page is freshly crawled and has structured Product/Offer schema.
The Question
“Is my brand present in AI responses for purchase-intent queries?”Bottom-of-funnel AI queries are the closest thing to a purchase trigger in AI search: “buy X online”, “best price for X”, “X pricing plans”, “X free trial”, “where to get X”. Users asking these questions have finished their research and are looking for a final recommendation before committing. If your brand is absent from these responses, AI is actively steering conversion-ready users away from you at the last moment. You might also be wondering:
- “Does AI mention my pricing when recommending my product?”
- “How do I compare against competitors in purchase-intent AI responses?”
- “Which AI providers are most likely to recommend my brand at the purchase stage?”
Where to Go in Qwairy
Start here: Overview > GEO Matrix (BOFU filter)
Navigate to Overview > GEO Matrix and apply the Funnel Stage: BOFU filter.
The matrix now shows only your bottom-of-funnel prompts — purchase, pricing, trial, and buying-intent queries.
Focus on the cells representing your core product category: a low Brand Mention Visibility score here directly translates to lost conversion opportunities.
Go deeper: Visibility > Prompts (BOFU prompts) + Shopping Results
Navigate to Visibility > Prompts, filter by BOFU, and review the specific purchase-intent prompt texts being monitored.
Click into individual prompts to read AI responses — pay attention to whether your pricing is mentioned accurately, whether your free trial or guarantee is highlighted, and how you are positioned relative to competitors in the recommendation.
Then open Insights > Shopping Results if you sell products to verify that your pricing, availability, and product details are being surfaced correctly in commerce-adjacent AI responses.
Complete the picture: Compare > By Funnel (BOFU tab) + GSC + BWT
Open Compare > By Funnel and select the BOFU tab for a direct competitive ranking at the purchase stage.
Check Strategy > Google Search Console for transactional queries (buy, price, discount, coupon, trial) to verify that pages ranking for these terms are also being crawled and cited by AI.
Use the Brand Web Tracker (BWT) integration to correlate BOFU AI visibility changes with actual conversion metrics.
What to Look For
GEO Matrix — BOFU Filtered View
The BOFU-filtered matrix is your conversion-stage AI presence map. Each cell tells you whether AI is recommending your brand when users are prepared to act. Unlike TOFU (awareness) and MOFU (consideration), BOFU gaps have near-immediate revenue implications — every dark cell represents a conversion-ready user being sent to a competitor.| Element | What it tells you |
|---|---|
| Visibility per BOFU topic | Which purchase contexts include your brand in AI recommendations |
| Provider ranking at BOFU | Which AI models are most willing to recommend your brand for transactional queries |
| Competitor BOFU presence | Whether competitors consistently appear in BOFU cells where you are absent |
| Score vs MOFU | Whether your visibility drops from consideration to purchase — a MOFU > BOFU drop signals a conversion narrative problem |
Shopping Results — Pricing and Product Details
For brands selling products or subscription services, Shopping Results verifies that AI models are surfacing accurate purchase information. Incorrect pricing, outdated plan names, or missing availability details in AI responses actively reduce conversion even when your brand is mentioned.Pro Tip: Compare your BOFU Brand Mention Visibility score against your MOFU score. If BOFU is significantly lower (more than 15 percentage points below MOFU), users who learned about you during consideration are not being reinforced at the purchase stage — AI is sending them to competitors for the final decision.
Filters That Help
| Filter | How to use it for this question |
|---|---|
| Funnel Stage: BOFU | Scope all views to purchase-intent queries only |
| Provider | Identify which AI model is most and least likely to recommend your brand at the buying stage |
| Period | Use 30-day windows for BOFU analysis — purchase-intent queries respond faster to content and pricing page updates than informational queries |
How to Interpret the Results
Good result
Brand Mention Visibility above 50% on BOFU prompts, with accurate pricing and plan details appearing in AI responses, and your brand ranking first or second among tracked competitors in the Compare > By Funnel BOFU tab. The Responses view shows AI recommending your brand with specific, correct product details (pricing tier, trial length, key feature) rather than vague references.Needs attention
Brand Mention Visibility below 20% on BOFU prompts, or a situation where your brand is well-represented in TOFU and MOFU but drops sharply at BOFU — meaning AI is educating users about your brand during research but routing them to competitors when it comes time to recommend a purchase. Also watch for BOFU responses where your brand is mentioned but with outdated pricing or incorrect plan names, which actively undermines conversion.Example
Scenario: Your enterprise CRM platform generates strong demo requests from organic search on transactional keywords like “CRM software pricing” and “buy CRM for sales teams,” but AI-driven demo requests have dropped 40% over the last quarter. You want to understand whether BOFU AI visibility is the culprit.
- Open Overview > GEO Matrix filtered to BOFU. Your brand visibility on “CRM pricing plans” and “best CRM for enterprise sales” prompts sits at 15% — far below your MOFU score of 47%. Competitors Salesforce and HubSpot show 82% and 71% respectively in the same BOFU cells.
- Navigate to Visibility > Responses and read 4 ChatGPT responses for “best enterprise CRM pricing”. ChatGPT recommends Salesforce’s per-seat pricing transparency and HubSpot’s free tier-to-enterprise upgrade path. Your brand is mentioned once but with outdated pricing from two tiers ago. The sources cited are Salesforce’s official pricing page and a Gartner comparison report you are not featured in.
- Your pricing page still lists the legacy plan names and tiers from before your repositioning 6 months ago — the old structure is in the page’s H1, meta title, and JSON-LD markup. Update the pricing page with current plans, add Product and Offer schema reflecting the new per-seat model, and submit the URL to the sitemap. Check Analytics > Crawler Analytics to confirm GPTBot visits the updated page within 30 days, then monitor BOFU visibility over the following 6 weeks.
Go Further
Export BOFU conversion data
Export purchase-intent query data with competitor positioning as XLSX for your sales team
Purchase-intent response tracker
Track how AI responds to purchase-intent queries in Looker Studio using the answer-details data source
Share BOFU insights with your sales team
Create a shared view of purchase-intent AI responses for your sales team to understand AI-driven buyer behavior
Related Questions
Does AI recommend my brand in the comparison/consideration phase?
Check whether the MOFU→BOFU drop-off is where you are losing users
Where in the funnel am I losing to competitors?
Identify the specific funnel stage where your competitive gap is largest
What do AI models say about my software's pros, cons, and pricing?
Deep dive into how AI characterizes your product during purchase-intent responses