AI Search Optimization (AEO/GEO) for developer tools
Get your database recommended when an engineer asks AI
When an engineer asks ChatGPT or Perplexity “What's the best database for a Series A startup in 2026?”, does your database show up? We measure it across all 5 engines - and run the whole SEO + content + authority stack beneath share-of-model - then get you into the answer.
The measured reality for Databases
Who AI actually recommends in databases - measured, not vibes
Not a screenshot. This is our public AI Visibility Index for databases: how often each product is named across all 5 engines, by share-of-model, with 95% confidence intervals. It re-measures every Index cycle, and this page re-stamps with it.
| # | Product | Share of model | Share | 95% CI |
|---|---|---|---|---|
| 1 | PostgreSQL | 22.3% | 20.5-24.1 | |
| 2 | MySQL | 14.5% | 13.1-16.1 | |
| 3 | MongoDB | 14% | 12.6-15.6 | |
| 4 | PlanetScale | 11.4% | 10.1-12.8 | |
| 5 | Supabase | 10.3% | 9.1-11.7 |
- Engines
- 5 of 5
- Prompts
- 10
- Answers
- 500
- Runs/engine
- 10
- Interval
- Wilson 95% confidence interval
Even the databases leader, PostgreSQL, appears in 98% of Claude answers but only 88% of ChatGPT (measured 2026-07-01, n=100 per engine) - AI visibility is engine-specific. We measure the 5 AI engines — ChatGPT, Perplexity, Claude, Gemini, and Grok — plus Google's AI surfaces (AI Overviews & AI Mode), measured separately. See the full databases leaderboard →
The buyer prompts that decide databases
- “What's the best database for a Series A startup in 2026?”
- “Best database for a small engineering team building a SaaS?”
- “What database should we use for a serverless application?”
- “Most cost-effective managed database for a high-traffic app?”
- “Best Postgres host for a team that wants autoscaling?”
How we get your database into the answer
Measure your share of model
How often each of the 5 engines names you vs. the named leaders in databases - with confidence intervals, and the exact prompts where you are invisible.
Fix the foundation
Schema, entity and technical work built on a real SEO foundation (technical, SERP, backlinks) because AI citations ride on it - the ground AEO stands on for a database.
Produce the content AI cites
Answer-first articles, comparison and benchmark pages, and the community + docs presence that wins citations in this category - done for you, you approve before it publishes.
Earn the off-site authority
The third-party sources the engines pull from in databases - review sites, comparison posts, communities - worked on a prioritized, measured roadmap.
FAQ
Why does AI search matter for databases?
Buyers increasingly ask ChatGPT, Perplexity, Claude, Gemini, and Grok which database to use before they ever visit a vendor site. If your product is not named in those answers, it is invisible at the moment of choice - a competitor gets the shortlist. We measure exactly where you stand and get you into the answer.
Who does AI recommend for databases right now?
In our measured AI Visibility Index (2026-07-01), the top three by share-of-model are PostgreSQL, MySQL, MongoDB. PostgreSQL leads Databases with a 22.3% share-of-model (95% CI 20.5-24.1), across 500 AI answers - measured 2026-07-01. Point-in-time; engines change continuously.
How do you measure AI visibility for databases?
We run the real buyer prompts 10+ times each across all 5 engines, compute your share-of-model with a 95% confidence interval, and map the fastest fixes. The databases leaderboard in our Index shows exactly what yours will look like.
Do the AI engines agree on databases?
Even the databases leader, PostgreSQL, appears in 98% of Claude answers but only 88% of ChatGPT (measured 2026-07-01, n=100 per engine) - AI visibility is engine-specific. That is why every fix we ship is engine-by-engine, and why a single "we asked ChatGPT" screenshot misleads.
What does it take to get cited in databases?
About 96% of the sources AI cited in databases were third-party - comparison pages, community threads (Reddit, Dev.to) and review sites - not vendor domains. That off-site authority work is exactly what we do. We produce the content and earn the off-site authority that lands you in those sources.
See where AI puts your database
Measured across all 5 engines against the databases field above - free, no call.
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