ENTITY & SCHEMA AUDIT

Before an AI Engine Can Cite Your Business, It Has to Understand It.

AI engines — ChatGPT, Gemini, Perplexity — rely on a structured data layer to identify and evaluate businesses before including them in generated answers. That layer is your entity record: data points across Wikipedia, Wikidata, business directories, professional networks, and market-specific authoritative sources that tell AI systems what your business is, where it operates, and whether it merits citation. If that record is incomplete in Arabic, in English, or in both languages simultaneously, AI tools operating in Qatar and the broader Gulf market will deprioritise your business regardless of how sophisticated your website content is.

Run your AI Visibility Audit View the evidence

We are proudly featured on

  • Search Engine Journal
  • Shopify
  • SEO Fomo

Trusted by businesses we have shipped growth for

  • Global IME
  • IME Remit
  • Chandragiri Hills
  • Sublime Trails
  • VEVS
  • Kangaroo
  • Ishan

/ This is for you if

Who This Is For

Qatar-based enterprises seeking AI citation in Arabic and English. Your business has a Qatar Chamber listing, a Commercial Registration number, substantial operational history in the Qatari market, and coverage in Gulf business media — yet AI assistants either omit you from generated answers or produce descriptions that are outdated, incomplete, or English-only. The structured entity data that should establish your authority in Arabic is either absent or insufficiently developed to meet AI engine standards.

Multinational companies with Gulf operations. Establishing genuine entity authority in Qatar requires presence across Qatar-specific and Gulf-specific data sources that international businesses routinely overlook: Qatar Chamber, Zawya, Argaam, Arabic Wikipedia, and regional business directories. A strong global entity record does not transfer automatically to the Qatar market — the Arabic-language knowledge layer needs to be built and maintained separately.

Professional services, financial, and consultancy firms. In Qatar's professional services sector, regulatory registrations and chamber affiliations carry significant authority weight with AI engines evaluating whether to cite a business. Incomplete or inconsistent listings in Qatar Chamber, QFCRA (for financial services), or other regulatory bodies create authority gaps that reduce AI citation confidence.

Real estate, construction, and infrastructure businesses. Qatar's development sector is one of the most AI-researched business categories in the region, with institutional investors, government procurement offices, and international partners using AI tools to assess suppliers and partners. Entity completeness and schema accuracy are table-stakes for visibility in this context.

/ What's broken

What's Broken

Arabic and English entity records are treated as separate, unconnected assets.

A business may have a reasonable English-language entity record while its Arabic-language equivalent — Arabic Wikipedia, Arabic Wikidata entries, Zawya, Argaam, and Arabic business directories — is thin, outdated, or entirely absent. AI engines serving Arabic-language queries draw primarily from Arabic-language sources. A business that has never invested in its Arabic entity record is effectively invisible to AI tools operating in that language, regardless of the strength of its English presence.

Schema markup does not declare language or serve bilingual content correctly.

Most websites in Qatar were built for a single dominant language or were adapted for bilingual content without the schema changes that bilingual operation requires. Schema markup that does not correctly identify language, does not link Arabic and English page versions, and does not declare the organisation's Arabic name and description alongside English equivalents is structurally incomplete for AI engines operating in both languages.

Qatar Chamber and Zawya listings are incomplete or inconsistently described.

These two sources are among the primary data points AI engines reference when evaluating the authority and legitimacy of a Qatar-based business entity. An incomplete Qatar Chamber profile, a Zawya entry with an outdated description, or a Commercial Registration record that does not align with the business's stated activities introduces uncertainty that AI systems resolve by reducing citation confidence.

Wikidata entries are absent for most Qatar-market businesses.

Wikidata is the machine-readable structured data source that every major AI engine reads as a primary reference. For businesses operating in Qatar, Wikidata entries — in both Arabic and English — are almost universally absent or underdeveloped. This is not a minor gap: it means AI engines are operating without the canonical structured reference they need to confidently identify and describe your business.

/ What we engineer

What We Do

Each workstream is built by the team that audits it, and wired into the rest of your growth system.

25-source bilingual entity map

a structured inventory across Arabic Wikipedia, English Wikipedia, Wikidata (Arabic and English entries), Google Knowledge Graph, Google Business Profile, Qatar Chamber directory, Zawya, Argaam, Crunchbase, LinkedIn Gulf, Qatar Financial Centre Authority register (if applicable), Ministry of Commerce and Industry Commercial Registration database, Bing Gulf, Apple Maps Gulf, Gulf News business archive, Al Jazeera business coverage, Qatar News Agency press archive, regional PR and wire services (Business Wire MENA, PR Newswire Middle East), industry association directories relevant to the client's sector, and additional sources identified during scoping.

Entity data quality scorecard

each source scored for completeness, accuracy, and consistency, with bilingual coherence — the agreement between Arabic and English records — assessed as a separate critical dimension.

Full schema markup crawl

extraction of every structured data block on your domain, with specific assessment of bilingual schema coverage: are Arabic-language pages marked up to the same standard as English-language pages, and do they correctly declare the Arabic versions of organisation name, description, and service types.

Schema validation and error report

each markup block tested against Schema.org and Google's structured data requirements, with bilingual-specific errors identified separately and ranked by impact.

Competitive entity benchmark

your entity coverage compared against three direct competitors in the Qatar market, showing where gaps exist relative to businesses already appearing in AI-generated answers.

Priority fix plan

a sequenced action list covering entity gap remediation and schema error correction in both languages, with specific instructions for Qatar-source and Gulf-source updates and bilingual schema implementation.

Run your AI Visibility Audit

/ What changes

What Changes

Before
After
BeforeAI engines begin citing your business accurately in both Arabic and English.
AfterWhen your entity record is complete and consistent across Arabic and English sources, and your schema markup correctly describes your organisation in both languages, AI tools serving queries in either language have the structured data they need to cite you confidently. For a business operating in Qatar's bilingual market, this represents visibility across the full addressable audience.
BeforeYour Arabic-language AI visibility reaches parity with your English-language presence.
AfterFor most businesses in Qatar, Arabic AI visibility is significantly weaker than English AI visibility simply because Arabic entity data has received less attention. The audit identifies precisely where the Arabic record is thinner and what is needed to bring it to parity — changes that AI tools serving Arabic-language queries in Qatar, the Gulf, and MENA markets will respond to directly.
BeforeInstitutional and government procurement AI tools begin including you in assessments.
AfterQatar's government and institutional procurement processes increasingly incorporate AI-assisted supplier research. A complete, authoritative entity record in Arabic and English, with valid schema markup and strong Qatar-specific source coverage, positions your business as a credible supplier in these automated research stages.
BeforeSchema markup begins driving rich results across Google Gulf and Arabic-language search.
AfterThe schema corrections made for AI visibility have direct benefits for traditional search rich results in both English and Arabic, accelerating returns across the full search marketing programme in the Qatar and Gulf markets.

/ Common questions

FAQ

Straight answers on scope, timelines and cost. Anything else, ask us directly.

Ask us directly
ما هو كيان الأعمال في سياق ظهور الذكاء الاصطناعي؟ / What is a business entity in the context of AI visibility?

A business entity is the structured data record that AI engines consult to understand your organisation. It is not your website — it is the accumulated set of data points across Wikipedia, Wikidata, business registries, and authoritative directories that collectively define what your business is, where it operates, and whether it merits citation in AI-generated answers. In Qatar's bilingual market, this record must be complete and consistent in both Arabic and English to give AI engines the confidence to cite you across the full audience.

لماذا يهم ترميز المخطط (Schema Markup) لمحركات الذكاء الاصطناعي؟ / Why does schema markup matter for AI engines?

Schema markup is structured code embedded in your website that describes your content in a machine-readable format. AI engines read schema markup before they read your page text because it removes the need for interpretation — it states directly what your business is, what it offers, and who it serves. For bilingual websites serving Arabic and English audiences, schema markup must correctly declare language and describe the organisation in both languages, or AI tools will form an incomplete understanding of your business from either language's content alone.

ما هي المصادر الـ 25 التي تغطيها عملية التدقيق؟ / Which 25 sources does the audit check?

The audit covers: Arabic Wikipedia, English Wikipedia, Wikidata (Arabic and English), Google Knowledge Graph, Google Business Profile, Qatar Chamber, Zawya, Argaam, Crunchbase, LinkedIn Gulf, Qatar Financial Centre Authority register (where applicable), Ministry of Commerce Commercial Registration database, sector regulatory directories, Bing Gulf, Apple Maps Gulf, Gulf News archive, Arabian Business archive, Al Jazeera business section, Qatar News Agency, Business Wire MENA, PR Newswire Middle East, regional industry association directories, MENA data aggregator feeds, academic citation databases, and sector-specific sources identified during scoping.

كم من الوقت تستغرق عملية التدقيق؟ / How long does the audit take?

The standard audit delivers in twelve to fifteen working days from receipt of onboarding information. Engagements covering complex corporate structures, multiple Gulf-market subsidiaries, or sites with large Arabic-language content sections may require additional time, which is confirmed before the audit begins.

ما هي التكلفة؟ / What does the audit cost?

Pricing for Qatar-market Entity and Schema Audits starts at QAR 8,500 for single-entity businesses. Audits covering group structures, multiple subsidiaries, or bilingual schema implementation across large enterprise site architectures are priced following a scoping call.

ماذا يحدث بعد تسليم التدقيق؟ / What happens after the audit is delivered?

The priority fix plan is written to be actionable by your internal team or developer without further consultation from our side. Each item specifies what to change, in which source or on which page, in which language, and how. For organisations that prefer managed implementation, Ignited Nepal offers a separate implementation service covering every item in the fix plan, with re-validation upon completion, and an ongoing monitoring retainer that tracks entity data drift and schema changes across both Arabic and English sources.

/ Our team

The people behind the work.

Not a black box. Real specialists you can call, with their names on the work.

About us
Hawrry Bhattarai

Hawrry Bhattarai

Google Ads Expert

LinkedIn

Start here

AI engines are forming their assessment of your business right now, based on whatever entity data they encountered.

In Qatar's bilingual market, that assessment is being made in both Arabic and English simultaneously, and most businesses have only ever managed one of those two records. The audit tells you exactly what each language's knowledge layer says about your business, where the gaps are, and precisely what to fix to achieve full bilingual AI visibility in Qatar and across the Gulf.

Run your AI Visibility Audit
Run your AI Visibility Audit View the evidence