حملات عمرة بالباص بسعر واضح
Maqam (maqam.sa) scores 75 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among Travel & Hospitality brands, E-commerce brands, in the 54th percentile of 18658 Travel & Hospitality brands.
Maqam (maqam.sa) is a Saudi digital travel platform specializing in organized Umrah bus campaigns departing from Riyadh and Madinah. It connects pilgrims with hotels near the Haram and air-conditioned transport, offering transparent per-person pricing. Users can select their seat and room before booking, with reservations confirmed quickly via WhatsApp. The platform targets pilgrims seeking structured, affordable Umrah trips with clear costs and simple digital booking.
| Brand Name | Maqam |
|---|---|
| Domain | maqam.sa |
| Industry | Travel & Hospitality, E-commerce |
| Main Competitors | Nusuk (73/100), Almosafer, Seera Group (Al Tayyar Travel), Umrah.com |
Maqam appears on Wikipedia but without a dedicated company entity, so AI models can confuse it with similarly named subjects.
The homepage meta description reads "حملات عمرة بالباص من الرياض والمدينة المنورة: فندق قريب من الحرم ونقل مكيّف بسعر واضح للفرد. اختر مقعدك وغرفتك واحجز فورًا، والتأكيد على واتساب." (Meta description: 24 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 2 JSON-LD block(s), Organization schema, FAQ schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is AR-only, limiting citation in English-language AI answers.
Detected tech stack: Next.js, Cloudflare.
Social footprint: verified profiles on X (Twitter), Instagram, YouTube, GitHub; no detected presence on Facebook, LinkedIn - 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 November 2026.
When asked "What is Maqam?", Claude could not identify the brand as of November 2026. I don't genuinely recognize Maqam (maqam.sa) as a specific company, likely because it's a niche or regional Saudi travel and hospitality brand with limited presence in my training data.
When asked "Best brands similar to Maqam?", Claude would not surface Maqam as of November 2026. I can't vouch for or describe a company I don't have verified knowledge of, so I wouldn't bring it up as a recommendation.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Maqam offers organized Umrah bus travel campaigns that include air-conditioned transportation from Riyadh or Madinah, hotel accommodation near the Haram, seat and room selection at booking, full per-person pricing disclosure, and booking confirmation via WhatsApp.
Sources: Maqam official site
Maqam is a Saudi digital travel and tourism platform (maqam.sa) specialized in organizing Umrah bus campaigns departing from Riyadh and Madinah, pairing transport with hotel stays near the Haram.
Sources: Maqam official site
Maqam has limited AI-search visibility, scoring 41/100 on Brand Analyzer's AI visibility composite (visibility 35, trust 28, recommendation 69). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Maqam official site
Maqam facilitates Umrah trips by offering air-conditioned bus transport combined with hotel accommodation near the Haram, all bundled with clear per-person pricing. Customers can select their seat and room online and confirm bookings quickly through WhatsApp.
Sources: Maqam official site
Maqam scores 69/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Travel & Hospitality options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: Maqam official site
Maqam is known for organizing Umrah bus campaigns from Riyadh and Madinah with transparent, upfront pricing and a digital booking process that lets pilgrims choose their seat and hotel room before confirming via WhatsApp.
Sources: Maqam official site
Maqam 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: Maqam official site
Maqam is used by pilgrims (mu'tamireen) traveling from Riyadh and Madinah who are looking for organized, bus-based Umrah packages that include nearby hotel accommodation and want clear, upfront pricing with an easy digital booking experience.
Sources: Maqam official site
Maqam scores 41/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Maqam has a limited AI-visibility profile at 41/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (69/100) and its weakest is trust (28/100). It benefits from a Wikidata knowledge-graph entry, open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data and no llms.txt to steer AI to its best pages. In a live check (November 2026), Claude could not identify Maqam from memory, confirming the gaps above.
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 Maqam: MAN (75/100), Manche Tourisme (75/100), Marcialonga (75/100), Maritiem Museum Rotterdam (75/100).
A step up - brands to learn from: Zolo (81/100), Zaui (81/100).
Category leader: Cvent (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.