geo/aeoplaybooks

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

On 2026-10-02, notion.so scored 63/100, ranking 9th in its panel.

How this note was made: an LLM drafted it automatically from our own probe logs (the hourly GEO Pulse data), and it was published without line-by-line human editing. Every number comes from those logs; the method is on the methodology page.

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

Notion.so scored 63/100 on 2026-10-02, placing it 9th in the panel of 10 sites. While AI engines can reach it, improvements are needed in three key areas to enhance visibility in generated answers. The site has fluctuated between 28 and 73 in past probes, indicating inconsistent performance.

How has notion.so's score fluctuated over time?

Notion.so's performance has varied significantly over the past few months. Since the first probe on 2026-07-13, the scores have ranged from 28 to 73. The most recent readings show a score of 63 on both 2026-09-23 and 2026-08-05, with a notable dip to 28 on 2026-09-23. This inconsistency suggests potential issues with maintaining stable visibility factors over time.

28-73score range since July 2026
6probes recorded
63latest score

What did the probe find on 2026-10-02?

The latest probe identified several areas where notion.so could improve its visibility in AI-generated answers. While the homepage returns a healthy ~3,034 characters of server-rendered text and major AI crawlers like GPTBot and ClaudeBot can access key pages, there are critical issues. The /llms.txt file is present but malformed, lacking proper markdown structure. Additionally, the homepage lacks a JSON-LD schema, making it difficult for AI engines to categorize the site.

How does notion.so compare to its peers?

Within a panel of 10 well-known sites, notion.so ranks 9th with a score of 63/100. The panel's average score is 77.3, with a median of 90. Notion.so is ahead of only openai.com, which scored 20/100. The most common issues across the panel are AI-crawler reachability and GPTBot access, both of which notion.so passes. However, the malformed /llms.txt and missing JSON-LD schema are areas where notion.so lags behind its peers.

What can notion.so do to improve its score?

To enhance its visibility in AI-generated responses, notion.so should address the identified issues. Correcting the /llms.txt file to ensure it starts with an # H1 title and includes curated links is crucial. Implementing a JSON-LD schema on the homepage will help AI engines better understand the site's content. Additionally, adopting an answer-first structure with concise 40–80 word summaries following each heading could improve clarity and accessibility.

For more details on optimizing AI crawler reachability, refer to the AI crawler playbook . To correctly format the /llms.txt file, consult the llms.txt guide . Addressing these areas will likely stabilize and improve notion.so's score in future probes.

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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