geo/aeoplaybooks

notion.so at 63/100: where the points went

On 2026-08-23, notion.so scored 63/100, trailing the panel average of 80.8.

GEO & AEO Playbooks notion.so at 63/100: where the points went geo/aeo playbooks · independent GEO lab

Notion.so scores 63/100 in our latest probe, indicating partial visibility. The site struggles with AI engines due to issues like a malformed llms.txt file and missing JSON-LD schema. Addressing these could improve its rank from 9th among 10 panel sites, where the average score is 80.8.

How does notion.so compare to the panel?

In the context of our 10-site panel, notion.so ranks 9th with a score of 63/100. The panel's average score sits at 80.8, with a median of 90. Notion.so's position highlights its need for improvement in AI visibility. Other sites like cloudflare.com, stripe.com, and vercel.com achieve perfect scores of 100/100, setting a high standard for AI accessibility and visibility.

80.8panel average score
63notion.so score
9 of 10panel rank

What trends does our probe history reveal?

Our probe history shows that notion.so's scores have fluctuated between 63 and 73 since July 2026. The most recent readings are 63 on both August 5 and July 17, and 73 on July 13 and July 17. This inconsistency suggests that while notion.so has the potential to improve, it has not maintained a stable performance. Addressing specific warnings and failures could help stabilize and increase its score.

What specific issues did the probe identify?

The probe identified several key issues affecting notion.so's score. The llms.txt file is present but malformed, which hinders AI engines from effectively understanding the site's structure. Additionally, the homepage lacks a JSON-LD schema, making it difficult for engines to categorize the site accurately. Furthermore, while headings exist, the content beneath them is long-form, lacking concise answer capsules that AI engines favor.

What can notion.so do to improve its AI visibility?

To enhance AI visibility, notion.so should focus on correcting the malformed llms.txt file. A well-structured file, starting with an H1 title and curated links, is crucial. Implementing a JSON-LD schema on the homepage would also help AI engines better understand the site's entity type. Finally, adding concise answer capsules after headings could improve how the site is featured in AI-generated answers. For guidance, notion.so can refer to resources like the AI crawler playbook and the llms.txt guide .

What should a typical business site learn from this?

Business sites aiming for high AI visibility should ensure their technical elements are in order. This includes having a well-formed llms.txt file, implementing JSON-LD schemas, and structuring content to be AI-friendly. Notion.so's case shows that even popular sites can struggle with visibility if these aspects are neglected. Consistent monitoring and updating of these elements are essential to maintain and improve visibility scores.

Run the same 5-signal probe on your own domainThis note came out of the hourly GEO Pulse board. The free checker runs the identical probe on any site, and Monitor re-runs it every month.

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