# How Profound helps brands win AI Search with high-quality web research and content creation powered by Parallel

## Key highlights

• - Improvement in content citation rates across AI answer engines
• - Web research-grounded content generation reduced from days to minutes
• - Factual accuracy verified automatically via Parallel web search

## The rise of AI search and a new kind of content problem

AI answer engines are reshaping how consumers discover products and brands. Instead of just clicking through a list of links, people now ask ChatGPT and Claude their questions and AI responds with an answer citing a handful of sources. Getting mentioned in those answers is the future of discovery.

Profound built the category-defining platform for Answer Engine Optimization, helping enterprise brands monitor their AI visibility, understand what AI is saying about them, and take action to improve their presence. Brands like Ramp have used Profound to boost AI visibility by 7x.

Monitoring is only half of the equation, though. To actually get cited by AI, brands need to publish content that’s comprehensive, factually accurate, and structured in ways that answer engines favor, known in the SEO world as EEAT[EEAT](https://developers.google.com/search/docs/fundamentals/creating-helpful-content) (Experience, Expertise, Authoritativeness, and Trustworthiness). Creating EEAT content at scale with the necessary depth and accuracy for ranking previously required deep research, dedicated writing teams, and long turnaround times.

## From visibility monitoring to automated content agents

Profound has expanded beyond visibility analytics into automated AEO agents that help marketers generate high-quality, citation-worthy content. To power these agents, Profound needed reliable infrastructure to retrieve accurate information from the web for conducting deep, multi-source research on any topic.

Profound integrated Parallel’s Search and Task APIs into their Agents workflow platform to offer two core web search nodes:

**Web Search (Search API) node for fact-checking and grounding**

Marketers use Parallel-powered search to verify claims in AI-generated content, quickly gather supporting data points for articles in progress, and to ensure every piece of published content is factually correct. When a content agent generates a draft, Parallel search validates the claims before anything goes live.

**Deep Research (Task API) node for comprehensive topic research**

For content that needs to be genuinely comprehensive, the kind of in-depth material most likely to be cited by answer engines, Profound uses Parallel’s Task API to conduct multi-source investigations on the given topic. A typical agent combines Profound data and brand-specific inputs with Parallel's deep research output, then uses an LLM to synthesize both into a polished, authoritative article grounded in accurate and fresh web data.

In addition to being available for custom Agents, Parallel's deep research (Task API) is the web search and synthesis engine behind Profound's Content workflow, which guides users through creating high-quality, well-researched, and targeted AEO content in just minutes.

## Why Profound chose Parallel

Profound tested multiple web search providers before selecting Parallel based on the quality of the outputs their agents were able to produce:

_"We were excited to partner with Parallel as our preferred search API because of the comprehension and accuracy of their outputs. The research came back structured, well-sourced, and ready to feed directly into our content generation agents. They provided more than just surface-level results and avoided hallucination”._

## Powering the next era of AI visibility

The combination of Profound's AEO platform and Parallel's web intelligence infrastructure creates a closed loop: monitor how AI talks about your brand, identify content opportunities, generate factually grounded content at scale, and measure the impact on AI citations and visibility.

For Profound's clients, this means faster content production, higher factual accuracy, and ultimately more revenue driven by AI search visibility. Comprehensive content that is grounded in real, verifiable research is exactly the kind of material that answer engines prefer to cite, and with Parallel, Profound can produce it at the speed and scale that marketing teams need to stay competitive.