feldmanauto.com — AI Site Grade

Analysis

Feldman Auto Group — AI-Visibility Audit

The homepage's dateModified field reads "2026-05-05T18:59:12" — a date nearly a year in the future — which means the site's structured data is publishing a timestamp that has not yet occurred, a signal that will confuse freshness signals in any AI crawler that parses schema dates.

Crawler Access

All major AI crawlers — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, ChatGPT-User, anthropic-ai — receive a full 200 response with identical byte payload (137,201 bytes) to the browser baseline. The sole exception is Bytespider (ByteDance's crawler), which gets a 403 block from Cloudflare. The robots.txt is a bare Yoast-generated file with a single User-agent: * Disallow: (no restrictions) and a Crawl-delay: 10. No AI-specific directives exist. No llms.txt exists (404). The site runs on WP Engine behind Cloudflare with nginx. The /shop-new/ page returns only 2 words of visible text ("Shop New") — a JavaScript shell that AI crawlers cannot render, making the core inventory page effectively empty to bots.

Cold-Knowledge Gap

The LLM's prior knowledge contains several assertions not found on the site. The model describes a "Feldman Price" upfront pricing model and a "Lifetime Powertrain Warranty" — neither term appears anywhere on the homepage, the timeline, the team page, or any fetched article. The model also states the group was founded in the 1950s, but the site's own timeline says the first store opened in 1996. The model mentions Ford, Honda, and Hyundai as brands sold — the site lists 14 brands including Airstream, Buick, Cadillac, Chevrolet, Chrysler, Dodge, Ford, Genesis, GMC, Honda, Hummer, Hyundai, INEOS, Jeep, Kia, RAM, RV, and Toyota, so the model's list is incomplete. The model's claim of "mixed online reviews" could not be verified through search — no Reddit threads or independent review aggregators surfaced in external searches.

Schema Posture

Every page carries the same JSON-LD schema: WebPage, WebSite, Organization, BreadcrumbList, and ImageObject. The Organization schema includes sameAs links to Facebook, X, Instagram, and YouTube. However, no LocalBusiness or AutoDealer schema is present anywhere — a notable omission for a dealership group with 20+ physical locations. The WebSite schema has an empty description field. The dateModified on the homepage (2026-05-05) is a future date. The dateModified on the timeline page is also 2026-05-05. Blog articles use Article schema with proper datePublished and dateModified, but the homepage's future-dated modified timestamp undermines the site's overall freshness signal.

Content & Structure

The homepage is a thin brand overview (189 words) with four H2 sections: "Proudly Serving Michigan for Over 30 Years," "OUR HISTORY," "MARK WAHLBERG BRAND," and "OUR LOCATIONS." No FAQ schema, no comparison tables, no pricing information. The "Feldman Advantage" is mentioned as a tagline but never defined. The timeline page lists 25 dealership locations spanning Michigan, Ohio, and Indiana, with the most recent entries labeled "2026 default" — another future-dated anomaly. The blog/news section is active with posts from 2023 through May 2026 (future-dated), covering philanthropy, the Mark Wahlberg partnership, and the INEOS Grenadier exclusive rights deal.

External Signals

The site's external link sample points entirely to individual dealership subdomains (feldmanchevy.com, markwahlbergchevy.com, munciecadillac.com, etc.) — the corporate site acts as a hub, but each dealership operates its own separate domain. No external press citations, Reddit discussions, or independent review pages were found through search. The DNS uses Barracuda for email security and DNS Made Easy for nameservers.

Findings

1. Homepage `dateModified` set to future date 2026-05-05 High

   The homepage's JSON-LD `dateModified` field reads 2026-05-05, a date nearly a year in the future. This undermines freshness signals for AI crawlers that parse schema dates.

   What to change: Update the `dateModified` field on the homepage to reflect the actual last-modified date. Implement a dynamic timestamp that updates on content changes.

2. Core inventory page renders as a 2-word JavaScript shell High

   The /shop-new/ page returns only 2 words of visible text ("Shop New") to crawlers, as the inventory content is loaded via JavaScript. AI crawlers that do not execute JS see an empty page.

   What to change: Implement server-side rendering or pre-rendering for the inventory page so that static HTML content is available to crawlers.

3. No LocalBusiness or AutoDealer schema on any page High

   Despite having 20+ physical locations, the site uses only WebPage, WebSite, Organization, BreadcrumbList, and ImageObject schema. No LocalBusiness or AutoDealer schema is present, which limits visibility in AI-generated local results.

   What to change: Add LocalBusiness or AutoDealer schema to each location page, including address, phone, hours, and geo coordinates.

4. LLM prior knowledge contains fabricated pricing and warranty claims High

   The LLM's cold knowledge asserts a "Feldman Price" upfront pricing model and a "Lifetime Powertrain Warranty" that do not appear anywhere on the site. The model also states the group was founded in the 1950s, while the site's timeline shows the first store opened in 1996.

   What to change: Publish a clear "About" page or FAQ that explicitly states the founding year, pricing model, and warranty details to correct the LLM's hallucinated facts.

5. WebSite schema has empty description field Medium

   The JSON-LD WebSite schema includes a `description` field that is empty. This is a missed opportunity to provide a concise summary of the site to AI crawlers.

   What to change: Populate the `description` field in the WebSite schema with a brief summary of the dealership group.

6. Timeline page contains future-dated entries labeled '2026 default' Medium

   The timeline page lists entries with dates in 2026, including a label "2026 default", which appears to be placeholder data. This undermines credibility and freshness signals.

   What to change: Remove or correct any future-dated placeholder entries on the timeline page.

7. Blog posts dated through May 2026 appear to be future-dated Medium

   The blog/news section includes posts dated as far as May 2026, which are likely placeholder or scheduled content. Future dates confuse crawlers and reduce trust.

   What to change: Ensure all published blog posts have accurate dates. Remove or unpublish any future-dated placeholder content.

8. No llms.txt file available for AI crawlers Medium

   The site does not provide an llms.txt file, which is a recommended way to guide AI crawlers to key content and provide structured context.

   What to change: Create an llms.txt file at the root that lists important pages and provides a summary of the site for AI crawlers.

9. Homepage contains only 189 words of visible text Medium

   The homepage is a thin brand overview with 189 words and four H2 sections. It lacks detailed content about inventory, pricing, or services, limiting its value for AI summarization.

   What to change: Expand the homepage content to include more detailed information about the dealership group, inventory highlights, and unique selling points.

10. No FAQ schema on pages that could benefit from it Low

    The site does not use FAQ schema anywhere, despite having content that could be structured as FAQs (e.g., about the Feldman Advantage, warranty, pricing). FAQ schema can enhance AI-generated snippets.

    What to change: Add FAQ schema to pages that answer common customer questions, such as the homepage or a dedicated FAQ page.

11. Bytespider crawler blocked by Cloudflare Low

    The ByteDance crawler (Bytespider) receives a 403 response from Cloudflare, preventing it from indexing the site. While less critical, this limits visibility on ByteDance's AI platforms.

    What to change: Review Cloudflare settings to allow Bytespider if desired, or explicitly block it in robots.txt for clarity.

12. No external press or review citations found in search Low

    External searches for reviews, Reddit discussions, and press mentions returned zero results. This lack of external signals may limit the site's authority in AI-generated answers.

    What to change: Encourage customer reviews on third-party platforms and pursue press coverage to build external citations.

What's working

• All major AI crawlers receive full access with 200 response — GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot, ChatGPT-User, and anthropic-ai all receive a 200 response with identical content to browser users. No AI-specific blocking is in place.
• Robots.txt imposes no restrictions on any crawler — The robots.txt file has a single `User-agent: * Disallow:` rule with no disallowed paths, allowing all crawlers full access to the site.
• JSON-LD schema present on every page — Every page includes WebPage, WebSite, Organization, BreadcrumbList, and ImageObject schema, providing a baseline structured data foundation.
• Organization schema includes sameAs links to social profiles — The Organization schema includes sameAs links to Facebook, X, Instagram, and YouTube, helping AI crawlers connect the site to its social presence.
• Blog articles use Article schema with proper dates — The blog/news section uses Article schema with correct datePublished and dateModified fields, providing structured content for AI crawlers.
• Sitemap available with 57 URLs — The site has a sitemap at /sitemap_index.xml listing 57 URLs, which helps crawlers discover all pages.
• Meet the Team page provides rich content (939 words) — The /meet-the-team/ page contains 939 words of detailed content about team members, offering substantial text for AI crawlers to index.
• Unique content about Mark Wahlberg brand and INEOS Grenadier deal — The site features detailed articles about the Mark Wahlberg brand partnership and exclusive rights for INEOS Grenadier in Michigan, providing unique, authoritative content.