AI Visibility Index / Industries / Databases & backend platforms

Most AI-visible databases (2026)

We scored 21 databases on how easily ChatGPT, Perplexity, Claude and AI agents can find, understand and use them. Appwrite leads with 98/100. Data from our crawl on October 18, 2026; scores are a homepage snapshot, not live.

86

Databases average score

86

Whole-index average (even)

86%

of these sites miss “Question & answer content”

#ProductScoreCrawlersContentSchemaAgents
1Appwrite
appwrite.io
9810094100100
1MotherDuck
motherduck.com
9810094100100
1Supabase
supabase.com
9810094100100
1Upstash
upstash.com
9810093100100
1Xata
xata.io
9810094100100
6Neon
neon.tech
979594100100
7Turso
turso.tech
9610087100100
8ClickHouse
clickhouse.com
9510010067100
8Redis
redis.io
951009410083
8Timescale
timescale.com
951009410083
8Tinybird
tinybird.co
951009410083
12PlanetScale
planetscale.com
941009310083
13DuckDB
duckdb.org
901008910071
14SingleStore
singlestore.com
89957910083
15Firebase
firebase.google.com
841008510047
16Convex
convex.dev
8295942083
17Nhost
nhost.io
75100942047
18Cockroach Labs
cockroachlabs.com
659570847
19PocketBase
pocketbase.io
6180792035
20Hasura
hasura.io
5310040826
21pgai
pgai.dev
478043826

Sub-scores: Crawlers = AI crawler access, Content = answer-engine content, Schema = structured data, Agents = agent readiness (llms.txt, API/MCP). Ties share a rank.

Databases vs the whole index

AreaThis industryAll 538 sites
Overall score8686
AI crawler access9797
Answer-engine content8689
Structured data7471
Agent readiness7676

Most common gaps among databases

Question & answer content86% (index: 71%)
Fix: Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").
Machine-usable interface (API / MCP)62% (index: 52%)
Fix: Expose an MCP server or OpenAPI spec and link it from llms.txt so agents can use your product, not just read about it.
Entity / product schema33% (index: 37%)
Fix: Add Organization + Product/SoftwareApplication schema with name, url, logo, sameAs (socials), offers.
Meta description29% (index: 21%)
Fix: Write a 50-160 char description stating exactly what the product does.
llms.txt29% (index: 36%)
Fix: Publish the generated llms.txt below at https://yoursite/llms.txt.
JSON-LD structured data29% (index: 33%)
Fix: Add JSON-LD (generated below) so engines know your entity, product and pricing unambiguously.
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FAQ

Which databases are the most visible to AI search engines?

In our October 18, 2026 crawl, the top-scoring databases were Appwrite (98/100), MotherDuck (98/100), Supabase (98/100). The score measures how easily ChatGPT, Perplexity, Claude and AI agents can crawl, understand and use each product's homepage.

How do databases compare with the rest of the AI Visibility Index?

The 21 databases we track average 86/100, the same as the 86/100 average across all 538 SaaS and AI sites in the index.

What is the most common AI visibility gap among databases?

86% of the databases we checked miss "Question & answer content" (vs 71% across the whole index). Fix: Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").

How is the AI visibility score calculated?

RankRoot checks four areas on each homepage: AI crawler access (robots.txt rules for GPTBot, ClaudeBot, PerplexityBot and others), answer-engine content (title, headings, FAQ-style content, server-rendered text), structured data (JSON-LD, Organization/Product schema) and agent readiness (llms.txt, discoverable API or MCP server). Each area is scored 0 to 100 and combined into one score.

When was this data collected, and can a company update its score?

Scores are a snapshot from our crawler on October 18, 2026. They are not updated automatically. Anyone can rescan a site live for free, and we refresh the index periodically.

My database isn't listed. How do I see where it would rank?

Run a free scan at https://getrankroot.com/report. You get the same score and checks, so you can compare it directly with this leaderboard.

Other industry leaderboards

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Methodology and full findings: State of AI Visibility 2026. Industry labels are assigned by RankRoot from each product's own homepage description.