How does Inteldo's Research Analyst gather external data?

It uses Firecrawl for fast batch analysis of standard websites, Hyperbrowser for bot-protected sites that require navigating like a real user, Google Places for local business data such as hours, ratings and reviews, and web search for live research.

How is this different from asking a chatbot to research something?

A chatbot answers from training data, which may be outdated or wrong. A research agent reads live sources and cites them. Inteldo goes further by running eight specialists in parallel, so external findings are correlated with your own Stripe, GA4 and PostHog data in one answer.

Is my business data safe when agents investigate?

Connections to your tools are OAuth secure and read-only by default, and Inteldo does not train models on your data. Every answer cites its sources, so you can verify exactly what was read and where each claim came from.

Solutions

An AI research agent that investigates, not just summarizes

An AI research agent is software that takes a question, plans an investigation, gathers evidence from real sources and returns a synthesized answer with citations. It differs from a chatbot in one important way: instead of generating text from what a model already knows, a research agent ai system goes out and reads live sources, competitor websites, pricing pages, market listings, and grounds its answer in what it found.

Inteldo builds this around a team. The Research Analyst is the agent that investigates the external world. It uses Firecrawl and Hyperbrowser to read competitor sites at scale, extracts pricing and positioning, and taps Google Places for local market research. Meanwhile seven other specialists cover your internal data in Stripe, Google Analytics 4, PostHog, Search Console, Google Ads and PageSpeed Insights.

The result is deep research that connects outside and inside. You can ask how your pricing compares to the market and see the answer computed from actual competitor pages and your actual billing data, with every claim linked to its source in a real-time chat workspace.

What a deep research AI agent actually does

A deep research ai agent breaks a question into an investigation plan, fetches sources, evaluates what it finds and writes up conclusions with references. The critical property is traceability. If the agent claims a competitor charges $49 per seat, you should be able to click through to the page where that number came from.

Inteldo's Research Analyst is built for exactly this. It analyzes competitor websites, extracts pricing, evaluates positioning and messaging, and can batch-research multiple sites in one request to map an entire market landscape. For bot-protected sites it uses Hyperbrowser, which navigates pages like a real user; for standard sites it uses Firecrawl for faster analysis at scale.

Competitor website analysis and pricing extraction
Market positioning and messaging research
Multi-site research at scale in a single request
Access to bot-protected sites via Hyperbrowser
Local business discovery through Google Places
Web search for live, current information

One agent for the outside world, seven for your data

Most research questions worth asking touch both external and internal facts. Is churn high for our category? Is our pricing above or below market? Which competitor keywords are we losing? External research alone gives you half an answer.

In Inteldo, the orchestrator routes each question to the specialists that own the relevant data. The Research Analyst covers the outside world while the Revenue Analyst reads Stripe, the Traffic Analyst reads GA4 and Search Console, the Product Analyst reads PostHog, and the SEO Analyst covers rankings and page performance. They investigate in parallel and their findings are synthesized into one cited answer.

AI research agent for marketing teams

Marketing is where an ai research agent for marketing pays off fastest, because the work it replaces is manual and repetitive: opening competitor sites one by one, copying pricing into a spreadsheet, rereading positioning pages every quarter. The Research Analyst does this in one request, extracting pricing, comparing features and identifying market gaps across many competitors at once.

Because the same platform holds your internal data, competitive findings do not sit in a static report. You can follow up in the chat workspace, ask how a competitor's pricing change relates to your own conversion or signups, and pin the metrics that matter to a signal board for ongoing monitoring.

Competitive landscapes built from batch analysis of competitor sites
Pricing extraction kept current instead of copied into stale spreadsheets
Positioning and messaging research to sharpen your own copy
Local market analysis with structured data from Google Places

Why cited sources matter for research agents

The main failure mode of AI research is confident text with no evidence behind it. A research agent is only useful if you can verify its work, otherwise every finding has to be manually re-checked, which defeats the purpose.

Inteldo treats citations as a requirement, not a feature. Every answer links its claims to the data or page it came from, and you can watch the investigation unfold in real time. Connections to your own tools are OAuth secure and read-only by default, and your data is never used to train models.

Frequently asked questions

What is an AI research agent?: An AI research agent is software that plans an investigation from a question, gathers evidence from live sources such as websites and connected data tools, and returns a synthesized answer with citations. Inteldo's Research Analyst does this for the external world, competitor sites, pricing and markets, while seven other agents cover internal business data.
How does Inteldo's Research Analyst gather external data?: It uses Firecrawl for fast batch analysis of standard websites, Hyperbrowser for bot-protected sites that require navigating like a real user, Google Places for local business data such as hours, ratings and reviews, and web search for live research.
Can it research multiple competitors at once?: Yes. The Research Analyst can batch-analyze multiple competitor sites in a single request, extracting pricing, comparing features and positioning to build a full competitive landscape rather than one site at a time.
How is this different from asking a chatbot to research something?: A chatbot answers from training data, which may be outdated or wrong. A research agent reads live sources and cites them. Inteldo goes further by running eight specialists in parallel, so external findings are correlated with your own Stripe, GA4 and PostHog data in one answer.
Is my business data safe when agents investigate?: Connections to your tools are OAuth secure and read-only by default, and Inteldo does not train models on your data. Every answer cites its sources, so you can verify exactly what was read and where each claim came from.