Key Takeaways
- General-purpose AI assistants like ChatGPT and Claude are excellent at summarizing, drafting, and repurposing content once you have an RFP in hand.
- They are not built to reliably discover every active RFP. Their web search relies on indexed pages, limited search budgets, and sources pieced together on the fly, so many utility portals, PDF postings, and consultant-run solicitations are missed.
- AI assistants can return RFPs that are closed, outdated, or inaccurate, and they don’t alert you when a new solicitation is released.
- Energy Adepto monitors 1,200+ curated sources, reviews and categorizes each RFP, and adds AI summaries, so your team starts with a complete, verified list.
- Energy Adepto’s AI energy market assistant puts that data into a chat built for origination and BD teams, connecting RFPs with utility news, federal policy, and EIA data.
- The best workflow uses both: Energy Adepto to find, track, and research opportunities, and a general AI assistant for drafting and repurposing proposal content.
More developers and EPCs are asking a reasonable question: “Why pay for an RFP database when I can just ask ChatGPT or Claude to find solar RFPs for me?” It’s a fair question. AI assistants have become remarkably capable, and I use them every day, including to build parts of Energy Adepto.
But finding RFPs and understanding RFPs are two different problems. In this article, I’ll break down where general AI assistants shine, where they fall short for RFP discovery, and how Energy Adepto fits into a modern business development workflow.
What Happens When You Ask an AI Assistant to Find RFPs?
If you ask ChatGPT or Claude something like “Find active solar RFPs in Texas,” the assistant will typically run a web search, read a handful of results, and summarize what it finds. For a quick scan, that can be useful. You’ll often get a few well-publicized solicitations from larger utilities and news coverage of major procurements.
The problem is what you don’t see.
Limited source coverage
Utility RFPs are posted across dozens of fragmented places: individual utility procurement portals, independent evaluator and consultant websites, state PUC dockets, industry association newsletters, and email listservs. Many of these pages are poorly indexed by search engines or buried as PDF links several clicks deep.
AI assistants also aren’t working from a curated list of energy RFP sources. They build their list “on the fly” each time you ask, based on whatever the search results happen to surface. And they don’t search without limits: AI tools cap how many web searches they run for a single request, so each answer is built from a sample of the available information rather than a systematic check of every co-op, municipal utility, and CCA in your target region.
That matters most for the opportunities that are often the most winnable: smaller co-ops, municipal utilities, and solicitations that rarely make the news.
Stale or inaccurate results
Many AI web search tools don’t search the web in real time. They query indexed pages, similar to what you’d find on Google, so they only see pages that have already been crawled, and that information can be weeks or even months old for smaller utility sites that search engines revisit infrequently. A newly released RFP may simply not show up yet.
Search results also frequently surface RFPs that have already closed, prior-year solicitations with similar names, or news articles about an RFP rather than the RFP itself. And AI still makes mistakes. Assistants can misstate details like deadlines, capacity ranges, or eligibility, especially when working from a secondhand source, and nobody reviews the output before it reaches you. If you’re making a go/no-go decision, you still need to verify everything against the original document.
No continuous monitoring
An AI chat answers the question you ask, when you ask it. It doesn’t know that a utility released a new all-source RFP this morning, and it won’t tell you unless you happen to search again with the right terms. Some assistants now offer scheduled tasks or agents, but they still rely on the same general web search underneath, so the coverage gaps don’t go away.
In the RFP world, timing is everything. Notice of Intent deadlines can come just one to two weeks after release. Discovering an RFP late can mean missing the chance to bid entirely.
No structured, searchable history
AI doesn’t natively organize and structure RFPs. Each AI conversation starts fresh. There’s no consistent database you can filter by RFP type, state, organization, or deadline, and no way to look back at closed solicitations to understand which utilities procure regularly and what they typically ask for.
Where ChatGPT and Claude Shine
To be clear, AI assistants are extremely valuable for RFP work. Once you have the RFP document in hand, they’re great at:
- Summarizing long documents. Upload a 100-page RFP and get the key requirements, timeline, and evaluation criteria in minutes.
- Answering specific questions. “Does this RFP allow build-transfer structures?” or “What are the interconnection requirements?”
- Comparing requirements to your project. Paste in your project specs and ask where you meet or fall short of the RFP criteria.
- Drafting proposal content. First drafts of cover letters, project descriptions, and responses to qualitative questions.
- Repurposing content. Adapting past proposals, capability statements, and project descriptions to fit a new RFP’s format and requirements.
- Building checklists. Turning submission requirements into a task list for your team.
In other words, AI assistants are strong at analyzing an opportunity. They’re weak at reliably finding every opportunity.
How Energy Adepto Is Different
Energy Adepto is built specifically for the discovery and tracking problem, with a focus on comprehensive energy RFPs and tailored energy and utility information.
- Purpose-built source coverage. Energy Adepto monitors a curated list of 1,200+ sources, including utility websites, industry news, the federal RFP database, and consultant postings, primarily across the U.S. and Canada.
- Reviewed and categorized. Each RFP is reviewed for quality and categorized before it’s added to the database, so you’re not sorting through news articles, duplicate postings, or closed solicitations.
- An AI energy market assistant built for origination teams. You still get the power of AI, but grounded in energy and utility data rather than whatever a general web search turns up. Energy Adepto’s AI assistant connects active RFPs, utility news, federal policy updates from FERC, DOE, and EPA, and EIA forecasts and project data, with web search as a supplement. Integrated resource plan (IRP) tracking is coming soon. Ask something like “Which utilities in the Southeast have open solar + storage RFPs?” and get an answer built on curated, structured data.
- AI summaries for every RFP. Each RFP with a public RFP PDF document gets a structured AI summary covering requirements, key dates, and contacts, so you get the time savings of an AI assistant without having to find, download, and upload the document yourself.
- Filtering and saved searches. Filter by RFP type (solar, solar + storage, all-source, energy storage, consulting, and more), organization, state or region, deadline, and active vs. closed status.
- Alerts when new RFPs are released. Instead of remembering to search, you get notified when new opportunities match what you’re looking for.
- Built by someone who has run RFPs. Before building Energy Adepto, I worked as an energy procurement consultant managing utility RFP processes across SPP and MISO. The platform is designed around what origination and BD teams actually need to make fast go/no-go decisions.
Side-by-Side Comparison
| Capability | ChatGPT / Claude | Energy Adepto |
|---|---|---|
| Discovering active RFPs | Limited to general web search results | Continuous monitoring of 1,200+ sources |
| Source list | Built on the fly, limited by search budgets | Curated energy and utility sources |
| Freshness | Indexed pages, can be weeks to months old | Monitored as RFPs are released |
| Co-op, muni, and CCA coverage | Inconsistent, often missed | Actively tracked |
| Accuracy of RFP listings | Not reviewed; can include closed, outdated, or misstated RFPs | Reviewed and categorized before listing |
| New RFP alerts | Not built for this | Notifications when new RFPs match |
| Filtering by type, state, deadline | Not available | Built in |
| Historical RFP database | No | Yes, including closed solicitations starting in 2025 |
| RFP summaries | Yes, if you provide the document | Yes, automatic, with energy industry context |
| Energy market research | General web search | AI assistant connected to RFPs, utility news, FERC/DOE/EPA policy, and EIA data |
| Proposal drafting and content repurposing | Excellent | Not the primary focus |
The Best Workflow: Use Both
The most effective teams don’t choose one or the other. They combine them:
- Find opportunities in Energy Adepto using saved searches and alerts.
- Screen quickly with the AI summary to decide which RFPs are worth a closer look.
- Research the buyer’s context or goals with Energy Adepto’s AI assistant: the utility’s recent news, relevant policy changes, and EIA data for the region.
- Draft and repurpose proposal content with a general AI assistant, with your team’s expertise guiding the final submission.
This way your team spends its time evaluating and winning opportunities, not hunting for them.
Need Custom Software or Data Tools?
Some teams need more than a platform: an internal pipeline tracker, a tool that pulls market or project data into one place, or an AI workflow built around their own origination process. I work with small to mid-sized developers on hands-on software and data builds that bring energy and utility industry knowledge to the problem. If that sounds useful, reach out.
Energy Adepto: Find Every RFP Worth Pursuing
ChatGPT and Claude are powerful tools, but they weren’t built to track the fragmented world of utility procurement. Energy Adepto was, and its AI energy market assistant puts that data to work for your origination team. Sign up for a 14-day trial or reach out for a live demo to see how the platform fits into your origination workflow.
