AI visibility score
1.9/ 10Weak

#939,588 of 1,393,411 in Food & Beverage

As of 2026-08-02 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

Forkastr

Forkastr

Unclaimed

forkastr.com · Food & Beverage

At 1.9/10, Forkastr is close to invisible in AI search today. Most assistants will not cite it when asked about your category - fixable, and the signals below show exactly where to start.

AI engines read this profile 8 times

Meta AI · Claude · Apple Intelligence

#939,588 of 1,393,411 in Food & Beverage for AI visibility

0

AI Naming Predictability

i

Rarely named · 0/100

More likely to be named than 55% of Food & Beverage companies

2

AEO Visibility

i

Near-invisible · 1.9/10

5

Muse Index Score

i

AI agent readiness

Basic · 5/100

2

AI Adoption

i

Basic · 2/100

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About Forkastr

from our crawl and measurement

"Forkastr provides restaurant owners with dedicated data analysts, weekly financial reports, innovative inventory sampling, and actionable insights to boost profitability." That is how Forkastr of New Orleans, LA introduces itself. To AI engines like ChatGPT and Perplexity it is close to invisible, scoring 1.9 out of 10.

On the page itself the strengths are clear: a clear heading structure. It is passable on a few credibility markers, basic crawler access and partial sitemap and link coverage. What holds it back is a clearly stated business identity and structured data describing the business.

Off the page there is only faint evidence that only a handful of sites link to it. Beyond that, the domain does not yet read as established, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. Those are earned elsewhere on the web, not fixed on the site itself.

AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic). The site links to no social profiles, so there is nothing tying the brand to a wider presence. The business dates to 2024.

Industry · Food & Beverage
Last scored · Aug 2, 2026

The 6 signals AI reads

Strong · Good · Fair · Weak

Structured Data

Weak

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Strong

Clear headings and answer-style content.

Entity Clarity

Fair

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Fair

Experience, Expertise, Authority, Trust markers.

Technical AEO

Good

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

Good

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

Weak

No inbound links found yet.

Domain Authority

Weak

Little domain authority yet.

Reference Presence

Weak

Not in AI knowledge graphs yet.

News & Press

Weak

No press coverage found yet.

Community

Weak

No community discussion yet.

Social Mentions

Weak

No social discussion found yet.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 1.9/10, Forkastr is crawlable but under-signaled - fixable, and the signals above are where to start.

Frequently Asked Questions

Why Choose Forkastr?

Unlike software-only solutions, we combine powerful analytics with human expertise.ForkastrHuman-Led AnalyticsSoftware-Only Solutions(Ingest.ai, Restaurant365, etc.)Dedicated Data AnalystStatistical Inventory SamplingCustom Weekly ReportsSelf-GeneratedServer Performance RecommendationsImplementation Time10 Days2-4 WeeksExpert Interpretation of DataHuman Expertise MattersSoftware tools only show you data—they can't.

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Picked for Forkastr: AEO & AI Search

Why your brand doesn't show up in ChatGPT answers (and how to fix it)

ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.

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Source & Attribution

Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/forkastr

Cite this score: Engagemii (2026). "AEO Score for Forkastr." Retrieved from https://engagemii.com/aeo/brands/forkastr

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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