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

Visibility46

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

46/100

Moderate

Sentiment Score

98/100

Score by Priority

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.

Working in your favor

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.

Gaps to close

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.

Opportunities

Leverage existing momentum in AI Overviews to capture 'Postgres extension' category authority by targeting technical comparison keywords.

Aggressively pursue developer-focused content syndication on platforms frequently crawled by OpenAI and Anthropic to break the conversational visibility barrier.

Develop specific messaging for the 'Efficiency-Focused Startup CTO' who is currently seeing less frequent mentions (50%) than their DevOps counterparts.

Highest-Impact 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.

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 priority level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	97	97	97	97
“What do you know about ParadeDB? What do they do and what's their reputation?”	#1	#1	#1	#1
Core5q Product/service category queries	0	20	89	92
“i'm tired of managing an elasticsearch cluster just for basic search on my postgres data, any better ways to do this?”	No	No	#3	#3
“help me implement hybrid search with vectors and keyword matching in my postgres database, what are the best tools?”	No	No	#7	#2
“looking for a managed postgres search service that handles full-text search and scales well for a startup”	No	No	#3	#3
“what are the most reliable postgres extensions for enterprise-grade search right now?”	No	#8	#2	#2
“how can i do full-text search directly in postgres without using a separate search engine, what extensions should i look at?”	No	No	#4	#3
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

“What do you know about ParadeDB? What do they do and what's their reputation?”

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

“help me implement hybrid search with vectors and keyword matching in my postgres database, what are the best tools?”

“looking for a managed postgres search service that handles full-text search and scales well for a startup”

“what are the most reliable postgres extensions for enterprise-grade search right now?”

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

Competitive Landscape

Elasticsearch

39 mentions

pgvector

32 mentions

ParadeDB

25 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

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

ParadeDB

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

ParadeDB

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.