Fighting to secure America's borders
FAIR (Federation for American Immigration Reform) (fairus.org) scores 67 out of 100 on Brand Analyzer, placing it in the Developing tier among Non-profit brands, Government brands, Legal brands, in the 13th percentile of 4305 Non-profit brands.
FAIR (Federation for American Immigration Reform) is a U.S.-based non-profit advocacy organization focused on immigration policy. It works to secure borders, lower immigration levels, and restore what it terms the rule of law through litigation, lobbying, and public education. FAIR positions itself as a leading advocacy group opposing what it characterizes as misinformation, seeking to convert executive orders into permanent policy change, and relies on donations from citizens who support stricter immigration enforcement.
| Brand Name | FAIR (Federation for American Immigration Reform) |
|---|---|
| Domain | fairus.org |
| Industry | Non-profit, Government |
| Main Competitors | NumbersUSA, Center for Immigration Studies (87/100), American Immigration Council (87/100), National Immigration Forum (81/100), Immigration Reform Law Institute |
Moz Domain Authority 69/100 vs category average 52 / leader 97 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #152,613 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
FAIR (Federation for American Immigration Reform) has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "FAIR is at the forefront to ensure Executive Orders (EO’s) turn into PERMANENT CHANGES to secure our borders and restore the rule of law. Your investment provides the firepower for…" (Meta description: 73 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on X (Twitter), Facebook, Instagram, YouTube; no detected presence on LinkedIn, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked September 2026.
When asked "What is FAIR (Federation for American Immigration Reform)?", Claude could identify the brand as of September 2026. FAIR is a Washington, D.C.-based nonprofit advocacy group founded in 1979 that pushes for stricter immigration controls and reduced levels of both legal and illegal immigration into the United States. Best known for Being one of the most prominent and long-standing organizations lobbying for restrictive immigration policy in the US.
When asked "Best brands similar to FAIR (Federation for American Immigration Reform)?", Claude would recommend FAIR (Federation for American Immigration Reform) as of September 2026. It's one of the most recognizable and influential groups in the immigration restriction advocacy space, so it would naturally come up if someone asked about organizations in that niche, though it's also controversial and labeled a hate group by the SPLC, which I'd note for contex
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
FAIR (Federation for American Immigration Reform)'s main competitors in Non-profit: Center for Immigration Studies (87/100), American Immigration Council (87/100), National Immigration Forum (81/100).
Sources: Brand Analyzer scan
FAIR (Federation for American Immigration Reform) has limited AI-search visibility, scoring 47/100 on Brand Analyzer's AI visibility composite (visibility 58, trust 37, recommendation 40). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: FAIR (Federation for American Immigration Reform) official site
FAIR (Federation for American Immigration Reform) scores 40/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest Non-profit options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: FAIR (Federation for American Immigration Reform) official site
FAIR (Federation for American Immigration Reform) can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: FAIR (Federation for American Immigration Reform) official site
FAIR (Federation for American Immigration Reform) is a non-profit advocacy organization in the United States dedicated to immigration policy reform. It operates in the categories of non-profit advocacy, government policy, and legal action, aiming to influence immigration laws and enforcement practices.
Sources: FAIR (Federation for American Immigration Reform) official site
FAIR (Federation for American Immigration Reform) scores 47/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
FAIR (Federation for American Immigration Reform) has a limited AI-visibility profile at 47/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is visibility (58/100) and its weakest is trust (37/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #152,613 (Tranco). The main gaps holding it back: thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify FAIR (Federation for American Immigration Reform) from memory (September 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to FAIR (Federation for American Immigration Reform): FACC USA (67/100), Handelsverband Deutschland (HDE) (67/100), Focolare Movement (67/100), Football SA (67/100).
A step up - brands to learn from: ZDH (Zentralverband des Deutschen Handwerks) (71/100), Young Scientist Lab (71/100).
Category leader: PBS (97/100).
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