The AEO/SEO Inbound Engine for General Energy Corporation
Status as of May 26, 2026. Five Illinois commercial solar city pages are live. Fifteen additional ComEd-territory city pages, a structured industry-insights library built from real ICP search queries, and named-author pages for the GEC engineering team are shipping inside the next seven days. None of the top ten Illinois commercial installers by volume is publishing in the content layer the GEC engine is built for.
What this brief covers, and why it matters now
The AEO/SEO inbound engine is a separate subdomain
(resources.generalenergycorp.com)
that runs alongside the existing Wix brochure at
generalenergycorp.com. The Wix site stays the homepage. The inbound
engine carries the content that captures organic search and AI answer
engine citations the brochure cannot.
Five commercial solar city pages are live today. Fifteen more city pages, a structured industry-insights library, and named-author pages for the engineering team are scheduled to ship inside the next seven days.
The competitive analysis later in this brief covers every Illinois commercial solar EPC publishing content today. None of them are publishing in the layer the GEC engine is built for. A national C&I EPC could decide to build the same engine, but execution would take six to twelve months and the result would still lack GEC's named-client list and credential stack.
What is live as of May 26, 2026
Subdomain and DNS. resources.generalenergycorp.com
CNAME is live and propagated. Vercel-side attachment is the only
remaining step to flip the engine on at the branded host. Every
page below also runs at the
gec-content-astro.vercel.app
preview URL today.
Five commercial solar city pages. Each page is engineered for both Google Search and the LLM answer engines (ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews). Each carries page-specific JSON-LD structured data: LocalBusiness, FAQPage, Service, and BreadcrumbList. The Lisle page also carries Energy Community framing and an IRS source citation.
Reusable city-page framework. The Lisle data file is the canonical template. The GEC engine produces a new city page as a content swap in roughly thirty minutes for a single page, and roughly the same time for a batch of five in parallel. Shared navbar, footer, brand source-of-truth, and page template handle the structural concerns. Optional fields (such as the Energy Community section) let any page opt in or out of optional surfaces without forking the template.
First insights article published. The safe-harbor ITC explainer for Illinois manufacturers is live, and the article-rendering system is proven.
What the engine produces, in cost and time terms
Per-page cost and turnaround on the GEC inbound engine versus the market rate for the same asset built on WordPress or Squarespace through a typical agency engagement (verified against 2026 US market rate data).
| Build path | Per-page cost | Turnaround per page | Cost across 20 pages |
|---|---|---|---|
| GEC inbound engine Existing content infrastructure, in-house | Near zero marginal cost | ~30 minutes per page (or per batch of 5 in parallel) | ~$0 marginal |
| Low-end freelancer Writer plus basic WordPress build | $150 to $500 | 3 to 10 business days | $3,000 to $10,000 |
| Mid-tier digital marketing agency Strategy, copy, on-page SEO, basic schema | $500 to $1,500 | 7 to 20 business days | $10,000 to $30,000 |
| High-end content agency Sourced copy, custom design, full schema | $1,500 to $4,000+ | 10 to 30 business days | $30,000 to $80,000+ |
Market rate ranges verified against 2026 US SEO and content agency pricing benchmarks. Sources: mackmediagroup.com, thedigitalelevator.com, gruffygoat.com, nucitrus.com, wearetg.com.
The engine produces the same deliverable a mid-tier or high-end agency would charge GEC ten thousand to eighty thousand dollars to produce across a twenty-page IL footprint, with the same schema markup, structured FAQ, and brand consistency baked in. The implication for cadence: every new city, every new article, every new author page becomes a marginal-cost addition rather than a line-item agency invoice.
What is shipping over the next seven days
Fifteen additional commercial solar city pages, all in ComEd territory
Target list weights DuPage, Cook, Lake, Kane, Will, and McHenry counties for the densest industrial and commercial buyer concentrations on ComEd service: Schaumburg, Elgin, Arlington Heights, Hoffman Estates, Joliet, Bolingbrook, Oak Brook, Carol Stream, Elk Grove Village, Bensenville, Wood Dale, Itasca, Addison, Romeoville, and Vernon Hills. Every page on the list is inside ComEd territory so the ComEd inverter rebate, the 2026 capacity-charge framing, and the Illinois Shines mechanics all apply consistently. Each page follows the Lisle template with city-specific industrial corridor naming, permitting timelines, and load-profile examples.
Structured industry-insights articles, built from ICP search queries
The article wave is not a generic content calendar. Each article answers a specific question the GEC ICP is actually asking, sourced from real search queries (Google, ChatGPT, Perplexity, Claude, Gemini), industry comment threads, and buyer conversations. Initial targets: the CRGA Act explainer, the ComEd Distributed Generation Rebate deep-dive, Illinois Shines SREC mechanics, Energy Communities qualification, ComEd Frequency Regulation for BESS, the 2025 Resource Adequacy Study summary, the 2026 ComEd capacity-charge restructure, and a plastics-manufacturer solar economics vertical piece. Each article carries tags for industry, state, utility, and topic series, so any combination resolves to a filtered programmatic-SEO page.
Named-author pages for the GEC engineering team
Author profile pages with full credential stack (CEM, NABCEP, AEE Fellow, ASHRAE Life Member, EBCP, P.E.) for the engineers behind GEC's installation history. Each article and city page links to its author page. Each author page links back to the articles and case studies that author has shipped. This is the single highest-weighted asset on the engine and anchors every other piece of content to a verifiable, named human authority. See the next section for why.
How the articles are built: query-first ICP research
The articles in the GEC engine are not built from an editorial wish list. They are built from the questions GEC's ICP is actually asking when researching commercial solar in Illinois. The methodology runs the same loop every cycle.
Source the real ICP questions
The query set is pulled from where ICP buyers actually search: Google autocomplete and "People Also Ask" results for commercial solar, ComEd, Illinois Shines, and Energy Community queries; the AI answer engines (ChatGPT, Perplexity, Claude, Gemini) on the same query set; LinkedIn conversations and comment threads in the manufacturing, plastics, food and beverage, and metals verticals; and direct buyer conversations as they come in. Plant managers, operations directors, CFOs, and presidents of family-owned manufacturing companies ask different questions from the same starting point, and the query set captures all four perspectives.
Prioritize by buyer-stage commercial intent
Queries are sorted by where the buyer is in the decision stack. Top-of-funnel education queries ("how does the ComEd inverter rebate work") get one article format. Mid-funnel comparison queries ("Illinois Shines block fill vs vintage pricing") get another. Bottom-of-funnel decision queries ("commercial solar EPC Naperville Illinois plastics manufacturer") get city-page and vertical-page treatment. The article order is the buyer's order, not GEC's order.
Write each article to answer the query, sourced and dated
Each article opens by directly answering the query in two or three sentences (the format AI answer engines preferentially extract for citations), then provides the depth, source citations, IRS notices or PJM filings, and named engineering perspective that no AI engine can synthesize from a generic search. The byline carries a named credentialed GEC engineer with linked credentials.
Tag for multi-surface discovery
Every article carries tags for industry vertical, state, utility, and topic series. A piece on the ComEd inverter rebate tagged with industry "plastics," state "Illinois," utility "ComEd," and series "Incentive Deep-Dive" surfaces in any filtered view that combines those dimensions. This turns the same article into multiple AEO entry points without rewriting the content.
Measure citation share, iterate
The same ICP query set used to source the articles also serves as the measurement scorecard. Each query is re-run monthly across Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini, with citations logged. Queries that GEC is not yet cited for surface the next article. The loop tightens with every cycle.
Why named-author pages anchor the entire engine
Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) governs how Google's quality raters and ranking systems weight content. For technical, financial, and engineering subjects, the framework requires content tied to a real, credentialed, verifiable human author. Pages with strong author signals consistently outperform pages without them on commercial-intent queries, and the gap is widening as Google's AI Overviews require ever-stronger attribution before they cite a source.
LLM answer engines apply the same logic. When ChatGPT, Perplexity, Claude, or Gemini surface a citation in an answer, they preferentially pull from sources with clear authorship and authoritative signals. Anonymous content is treated as low-confidence and is rarely cited. Content authored by a credentialed engineer with a verifiable LinkedIn profile, listed credentials, and a public portfolio of work is cited at a far higher rate than the same content published under a generic company byline.
The GEC credential stack. Tony Vachal's CEM, AEE Fellow, and ASHRAE Life Member designations, Vishal's NABCEP, CEM, and EBCP credentials, and the broader engineering team's P.E. coverage across IL, WI, IN, and OH are the highest-tier authorship signals in the Illinois commercial solar market. No competitor publishing content today can match those signals without recruiting from GEC's bench.
Every article inherits authority from its author. Once the author pages are live, every existing article and every future article retroactively gains authority because each link from article to author and from author back to article tightens the credibility graph. The lift to build the author pages is small (bio, credentials, photo, LinkedIn), and the compounding effect applies to every piece of content published thereafter.
Every Illinois commercial solar EPC publishing content today
The Illinois commercial solar competitive set looks different depending on which lens you use. By installation volume, the leaders are the EPCs and installers closing the most kilowatts of C&I work. By content presence, the leaders are the much smaller set publishing in the SEO and AEO content layer. The two lenses do not overlap. The volume leaders are not publishing in the content layer, and the content leaders are not the largest installers. The gap between those two lists is the strategic opening the GEC inbound engine is built to occupy.
Source: Solar Power World 2025 Top Solar Contractors ranking. These are the EPCs and installers winning the most C&I project volume in Illinois today.
| # | Company | kW installed (2024) | Content / AEO presence today |
|---|---|---|---|
| 1 | Nelnet Renewable Energy | 21,049 | Maps and brand presence (some via GRNE Solar). Minimal published content. |
| 2 | Continental Energy Solutions | 12,247 | Minimal content marketing. |
| 3 | StraightUp Solar | 10,058 | Most active content publisher in the set today; serves both commercial and residential. |
| 4 | SunPeak | 9,780 | Minimal content marketing. |
| 5 | Fresh Coast Solar | 7,818 | Minimal content marketing. |
| 6 | OnSwitch | 7,768 | Minimal content marketing. |
| 7 | Tron Solar | 5,870 | Minimal content marketing. |
| 8 | Verde Solutions | 5,097 | Minimal content marketing. |
| 9 | Sun Solar | 4,203 | Minimal content marketing. |
| 10 | 93Energy | 3,916 | Some Midwest commercial content; not yet a dominant publisher. |
Of the ten volume leaders, only StraightUp Solar is making a real content investment today. The nine other top installers are not publishing in the SEO or AEO content layer, even though they collectively close more than 87,000 kW of Illinois C&I work per year.
A shorter list. These are the players with published content that surfaces in commercial solar buyer research, either through Google or through AI answer engines.
What none of the competitive set is doing
Across the full competitive set above, the following content assets are either entirely absent or surface-level. Each one is in motion on the GEC inbound engine.
EnergySage stays surface-level. Concentro covers IL Shines mechanics. None of the EPCs publish a full series across the stackable federal, state, and utility programs.
No competitor publishes content under named, credentialed engineers with displayed CEM, NABCEP, AEE Fellow, ASHRAE, or P.E. signals. Most publish anonymously under a generic company byline.
Most competitor case studies are generic descriptions without verifiable client names, project economics, or customer testimony.
No competitor publishes vertical content for plastics, food and beverage processing, metals, fabrication, or logistics. Every competitor positions as a generic installer.
No competitor publishes city-level content for Illinois commercial solar at the depth or specificity of the live Lisle page.
None of the competitive set publishes structured FAQ content optimized for AI answer engine citation, decision-support calculators, or comparison frameworks tied to the buyer's specific context (industry, utility, state).
"Not a single competitor is positioning as a manufacturing-focused solar advisor in Illinois. Everyone is an installer."
The two GEC assets that compound across every piece of content
The named-client list
Argonne National Laboratory, Exelon, Chevron, Constellation Energy, the University of Chicago, Chicago Public Schools, the City of Chicago, Federal Mogul, HYDAC, Aurora Specialty Textile Group, and Publix. No direct competitor carries a brand list at this altitude. Every relevant article and case study can drop the appropriate names in the trust-bar position, anchoring the content to verifiable enterprise-grade engagements.
The credential stack
Tony Vachal's CEM, AEE Fellow, and ASHRAE Life Member designations. Vishal's NABCEP, CEM, and EBCP. Mario's mechanical engineering background. Ruben's Master Electrician license. P.E. coverage across Illinois, Wisconsin, Indiana, and Ohio. City of Chicago Class C General Contractor (#TGC117521) and Illinois Professional Design Firm Registration (#184001188). The author-page system is the surface that makes this visible to both search engines and AI answer engines.
Why the window matters now
The competitive set today is not investing in this content layer. The window is open because nobody is yet trying to occupy it. A national C&I EPC such as Pivot Energy or DSD Renewables could decide to build the same engine, but execution would take six to twelve months and the result would still lack GEC's named-client list and credential stack.
AI answer engine citations also self-reinforce. Once a source is cited consistently for a topic, the citation pattern compounds: new training data and new retrieval-augmented generation calls surface the same sources, which strengthens their authority ranking, which increases the citation rate again. Being first to occupy a citation slot for a query like "Illinois commercial solar incentives" or "ComEd inverter rebate for industrial facilities" is more durable than being first to rank #1 on a traditional Google query.
The seven-day plan is structured to lock in the citation slots before the competitive set or a national entrant decides this is a layer worth occupying.
What this looks like in 30 days
Inside thirty days, the engine moves from a five-city proof of concept to a structured education hub covering the entirety of ComEd-served Illinois and segmented by who the buyer actually is.
Commercial solar city pages live for every meaningful commercial and industrial city in ComEd-served Illinois. Targeting roughly twenty-five to thirty-five pages spanning DuPage, Cook, Lake, Kane, Will, and McHenry counties so that any Illinois ComEd commercial buyer searching the engine's queries lands on a city-specific page tailored to their location, utility, and local industrial base.
Named-author pages live for the full GEC engineering team (Tony Vachal, Vishal, and the broader bench), each linked from every article and every city page. Every article links back to its author. The credibility graph is fully wired, which means every existing piece of content retroactively gains authority on day one of the team's author pages going live, and every new piece inherits it automatically.
Key articles posted to the GEC LinkedIn company page on a weekly cadence, with author attribution. LinkedIn engagement on credentialed content is one of the highest-weighted external signals AI answer engines use to validate an author's authority, which means LinkedIn distribution is not a separate marketing channel from the inbound engine. It is a citation reinforcement layer on top of it.
The Market Insights surface is organized into segmented entry points for the four buyer roles GEC actually sells into. Plant managers, operations leaders, COOs, and presidents of family-owned manufacturing companies each ask different questions from the same starting point, and each gets a curated path through the content that answers the questions their role actually has to answer. The same article tagged "ComEd Frequency Regulation for BESS" surfaces differently in the plant manager track (operational mechanics) than in the CFO track (revenue contribution and tax treatment), without rewriting the underlying article.
The thirty-day picture is what the engine looks like as a functioning education hub for industrial Illinois energy buyers, not a content marketing experiment. By day thirty, any commercial solar buyer in ComEd-served Illinois who searches Google, asks ChatGPT, or queries Perplexity has a meaningful probability of landing on a GEC asset that answers their question directly, authored by a named credentialed GEC engineer.
What this looks like in 90 days
Full coverage across ComEd-served Illinois plus expansion into Ameren territory downstate. Adjacent state coverage (Wisconsin, Indiana, Ohio) beginning where GEC's P.E. footprint already applies.
The initial federal-and-state-incentive wave plus deepening vertical-specific economic analysis for plastics, packaging, food and beverage, metals, and logistics operators.
Author pages established for the full GEC engineering team in the 30-day window are now compounding on every new piece of published content, with continued credential and project updates as new work ships.
Format-locked GEC case study template, with named client, named engineer who delivered the project, verified dollar figures, and customer quote. The first published case study is in motion now, with client sign-off, as the template for every subsequent case study.
Buyer-side filter (industry × state × utility) on the insights index page is live and indexed. Each filter combination resolves to a distinct static page for AEO capture, so the same article surfaces under multiple buyer entry points.
Article distribution via the GEC company page and author-attributed posts is running at established cadence. The third-party citation pattern from LinkedIn engagement is one of the highest-weighted external signals AI answer engines use to validate authorship.
Questions, edits, or pushback on any of the analysis above, send them my way. Happy to walk through any section of this in more detail with anyone on the team.