What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

Get a demo

ParadeDB

Visibility53

Vibe98

Businesses/Database Software/ParadeDB

AI Visibility & Sentiment

ParadeDB

ParadeDB is a modern Elasticsearch alternative built as a Postgres extension, delivering simple, elastic-quality search capabilities directly within PostgreSQL. The company enables developers to implement full-text, hybrid, and faceted search without the complexity of managing separate search infrastructure.

Active Monitoring

paradedb.com

Database Software Startups

AI Visibility Score

53/100

Moderate

Sentiment Score

98/100

Score by Reach

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe ParadeDB today.

ParadeDB has achieved a remarkable stronghold within Google's AI ecosystem, securing a 100% mention rate in Gemini and AI Overviews as the go-to solution for Elasticsearch replacement. However, this dominance is sharply undermined by a total visibility blackout in ChatGPT and Claude, creating a critical risk where the brand is invisible during pure conversational research. The data reveals a polarized landscape where ParadeDB is a search-engine darling but remains a ghost in the training sets of the most popular large language models.

Value Proposition

Elastic-quality search directly in Postgres with zero ETL, eliminating the need for complex data synchronization and external search infrastructure while maintaining full SQL compatibility.

Overview

Mission

To build a modern Elasticsearch alternative on Postgres, giving developers elastic-quality search without the burden of managing separate search infrastructure.

Products & Services

BM25 full-text search extension for PostgresHybrid search combining text and vector searchFaceted search and aggregationsManaged ParadeDB Cloud (private beta)Enterprise self-hosted deployment with support

Current State

Visibility Landscape

A high-level view of how ParadeDB performs across AI platforms, broken down by strategic reach level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation Brand recognition & direct queries	0	12	85	88
Core Topics Product/service category queries	—	—	—	—
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

—

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

Elasticsearch

39 mentions

pgvector

32 mentions

Postgres

21 mentions

PostgreSQL

20 mentions

Supabase

19 mentions

Tantivy

18 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve ParadeDB's AI visibility.

Key Findings

Strength

Absolute dominance in Google Gemini and AI Overviews, consistently ranking in top positions for infrastructure simplification queries.

Strength

High resonance with the 'Security-Conscious Lead Developer' persona, achieving an impressive average position of 3.3.

Strength

Successfully positioned as the primary alternative for users tired of managing Elasticsearch clusters, often appearing as the top recommendation for Postgres-native search.

Recommended Actions

Initiate an LLM-targeted technical documentation campaign on high-authority domains like GitHub, StackOverflow, and specialized database forums.

ChatGPT and Claude's zero-percent mention rate indicates that ParadeDB's core value proposition has not yet been ingested into their foundational knowledge bases.

Optimize technical content specifically for 'hybrid search' and 'vector similarity' keywords within the Postgres context.

While winning on infrastructure simplification, ParadeDB is losing ground to pgvector in the high-growth hybrid search segment where Gemini rankings are currently weak.

Develop a dedicated 'Elasticsearch vs. ParadeDB' migration series optimized for structured data snippets.

The brand's strongest performance is linked to Elasticsearch fatigue; reinforcing this narrative will solidify the top-tier rankings already held in AI Overviews.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

Simplifying Search Infrastructure(2 queries)

“i'm tired of managing an elasticsearch cluster just for basic search on my postgres data, any better ways to do this?”

2/4 platforms mentioned

Core

ChatGPT

1.Elasticsearch

2.Postgres

3.pg_trgm

4.Typesense

5.MeiliSearch

+13 more

Claude

1.Elasticsearch

2.PostgreSQL

3.Amazon OpenSearch

4.Elastic Cloud

5.Typesense

+4 more

Gemini

1.Elasticsearch

2.PostgreSQL

3.ParadeDB

4.Tantivy

5.pg_trgm

+7 more

AI Overviews

1.Elasticsearch

2.blog.blockost.com

3.Postgres

4.ParadeDB

5.pg_search

+8 more

“how can i do full-text search directly in postgres without using a separate search engine, what extensions should i look at?”

2/4 platforms mentioned

Core

The Infrastructure-Weary DevOps Engineer · Lead DevOps Engineer

ChatGPT

1.PostgreSQL

2.PGroonga

3.ZomboDB

4.Elasticsearch

5.Prometheus

+7 more

Claude

1.PostgreSQL

2.Elasticsearch

3.pg_bigm

4.RUM

5.pgroonga

+3 more

Gemini

1.Elasticsearch

2.Postgres

3.Lucene

4.ParadeDB

5.Tantivy

+8 more

AI Overviews

1.PostgreSQL

2.Elasticsearch

3.ParadeDB

4.pg_trgm

5.unaccent

+3 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

blog.blockost.com

Web1 ref

Postgres Full Text Search vs the rest - Supabase

supabase.com

Web1 ref

Comparing Native Postgres, ElasticSearch, and pg_search for ...

neon.com

Web1 ref

Full Text Search over Postgres: Elasticsearch vs. Alternatives

paradedb.com

Web1 ref

Why we replaced Elasticsearch with Postgres Full-Text Search

blog.blockost.com

Web1 ref

The 10 Most Popular Postgres Extensions on Neon

neon.com

Web1 ref

18: 12.9. Preferred Index Types for Text Search - PostgreSQL

postgresql.org

Web1 ref

PostgreSQL as a Search Engine Alternative to Elasticsearch

linkedin.com

Social1 ref

7 Postgres Extension Combos That Feel Like Superpowers

medium.com

Blog1 ref

Best Elasticsearch alternatives in 2025 for your use case - Algolia

algolia.com

Web1 ref

Do you need Elasticsearch when you have PostgreSQL?

news.ycombinator.com

Web1 ref

Top 10 Elasticsearch Alternatives in 2026: Complete Comparison Guide

openobserve.ai

Web1 ref

Ditch ElasticSearch! Use Postgres for Full-Text Search Instead

levelup.gitconnected.com

Web1 ref

Hybrid Search in PostgreSQL: The Missing Manual - ParadeDB

paradedb.com

Web1 ref

Hybrid search with PostgreSQL and pgvector - Jonathan Katz

jkatz05.com

Web1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of ParadeDB.

Elasticsearch39 mentions

pgvector32 mentions

ParadeDB25 mentions

Postgres21 mentions

PostgreSQL20 mentions

Supabase19 mentions

Tantivy18 mentions

pg_trgm16 mentions

MeiliSearch16 mentions

Algolia14 mentions

Typesense12 mentions

Brand Identity

Brand Voice & Style

How AI perceives ParadeDB's communication style and personality

ParadeDB communicates with a developer-centric, technically confident voice that balances deep expertise with accessibility. The brand uses clear, direct language that respects developers' intelligence while avoiding unnecessary jargon. There's an underlying tone of pragmatism—acknowledging real pain points with Elasticsearch and offering straightforward solutions. The voice is professional but not corporate, often using relatable developer experiences to connect with the audience.

Core Tone Traits

Technically Confident

Speaks with authority on database and search technology, using precise terminology and concrete benchmarks

Developer-Empathetic

Acknowledges real pain points developers face and positions solutions around their actual workflows

Clear and Direct

Avoids marketing fluff, preferring straightforward explanations and letting the product speak for itself

Pragmatically Optimistic

Focuses on practical benefits and real outcomes rather than hype, backed by customer success stories

Backing

Investors

Craft Ventures

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned February 28, 2026.

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Frequently asked questions

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Elastic-quality search directly in Postgres with zero ETL, eliminating the need for complex data synchronization and external search infrastructure while maintaining full SQL compatibility.

AI Visibility Score

ParadeDB has an AI visibility score of 49/100, rated as moderate. This score reflects how often and how prominently ParadeDB appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

Strengths

Absolute dominance in Google Gemini and AI Overviews, consistently ranking in top positions for infrastructure simplification queries.
High resonance with the 'Security-Conscious Lead Developer' persona, achieving an impressive average position of 3.3.
Successfully positioned as the primary alternative for users tired of managing Elasticsearch clusters, often appearing as the top recommendation for Postgres-native search.

Visibility Gaps

Near-zero presence in ChatGPT and Claude across all non-brand queries, suggesting a significant lag in LLM training data integration.
Significant competitive disadvantage against pgvector and Supabase, who maintain broader cross-platform visibility in conversational AI contexts.
Underperforming in 'hybrid search' queries on Gemini, where positions drop as low as #13 compared to the #2 or #3 spots held for general Postgres extensions.

Competitors in AI Recommendations

Elasticsearch: 39 mentions
pgvector: 32 mentions
Postgres: 21 mentions
PostgreSQL: 20 mentions
Supabase: 19 mentions
Tantivy: 18 mentions
pg_trgm: 16 mentions
MeiliSearch: 16 mentions
Algolia: 14 mentions
Typesense: 12 mentions
pg_search: 10 mentions
ZomboDB: 10 mentions
PGroonga: 10 mentions
Neon: 10 mentions
Lucene: 9 mentions

Categories: Database Software

Tags: Startups