GEO / AI Search Audit
Review crawler access, structured data, entity clarity and primary sources. Receive a prioritized evidence-backed roadmap.
- Crawler access and indexability
- Entity and source consistency
- Actionable audit roadmap
When different pages tell different stories about a company, AI systems have less reliable information to work with. We review crawlability, company facts, product pages and supporting sources, then address evidenced gaps. No provider can promise an appearance in a specific AI answer.
Starting prices apply to a defined scope. Citation and inclusion decisions remain with independent AI systems.
Review crawler access, structured data, entity clarity and primary sources. Receive a prioritized evidence-backed roadmap.
Baseline monitoring and prioritized technical improvements. Large-scale content and outreach are scoped separately.
Published examples of B2B site architecture. Portfolio screenshots are preserved snapshots; live versions may differ.



These visuals demonstrate website work, not SEO audit outcomes or verified AI citations.
AI Search problems are often ordinary information problems exposed by a new retrieval layer: blocked crawlers, ambiguous entities, inconsistent facts, thin source pages or expertise that cannot be traced to a credible author and primary source.
Robots rules, canonicals, JavaScript, duplicate URLs or weak internal linking can hide the pages that should act as primary sources.
Names, locations, roles, services and specifications differ across pages, profiles or structured data, making entity resolution harder.
Marketing copy says the company is capable, but there are few cases, expert explanations, documents or first-party facts that can support the claim.
Without a repeatable query set and change log, teams can only rely on screenshots of occasional answers.
The audit separates what your team can control from what external AI systems decide themselves.
Search and AI crawler access, robots, sitemap, canonicals, indexability and technical barriers.
Company, product, geography, contacts, people, roles and relationships that should be unambiguous.
Schema.org used where it helps represent real entities and page roles rather than decorative markup.
Direct, useful pages that answer the questions buyers use to define the problem and shortlist suppliers.
Primary-source facts, public references, author attribution and conflicting information across the web.
A repeatable query set and evidence log for comparing visibility after implementation.
We inspect crawler rules, indexability, canonicals, sitemap coverage and the pages available as source material.
We list the company, products, services, people, markets and important facts that must remain consistent.
We identify where important claims lack first-party evidence, expert depth, author context or a dedicated canonical page.
Issues are separated into technical, structural, content and external-evidence work so the team knows what to fix first.
We define the queries and observations that will be repeated after implementation instead of treating one AI answer as a KPI.
Prioritized technical, structural and content findings with clear ownership and severity.
What is allowed, blocked or ambiguous for relevant search and AI crawlers.
The canonical facts and relationships that should stay consistent across the site and external profiles.
Page/entity markup that reflects the real business rather than invented schema.
Commercial, expert and evidence pages worth creating because they answer real buyer and retrieval questions.
A repeatable set of questions for checking changes in source discovery and AI responses over time.
Crawler access, crawlable source pages and clear first-party facts.
Google Search indexability, source quality and relevant Google crawler policy.
Source clarity, author attribution and crawler-access review.
Primary-source content, crawlability and evidence that can support cited answers.
Clean, broadly indexable HTML and explicit first-party facts.
Strong Russian pages and machine-readable company, product and service facts.
FORMODUS publishes canonical service pages, named case studies, an author page, structured entities, sitemap/robots controls and machine-readable discovery files.
Our crawler and citation checklist links to primary platform documentation and is updated when the underlying rules change.
Open the checklist →They overlap heavily. Search engines and AI retrieval both depend on crawlable pages, clear entities, useful source content and consistent facts. The audit adds AI-specific crawler, citation and monitoring checks without treating them as a replacement for SEO.
No. External systems choose their own sources and answers. We can improve technical access, source clarity, entity consistency and evidence, but cannot guarantee inclusion or citation.
A prioritized issue map, crawler and indexability review, entity/fact map, structured-data recommendations, source/content opportunities and a repeatable query set for monitoring.
Not always. Many issues can be fixed on an existing site. If the information architecture itself prevents clear product, service or company entities, the audit will identify that as a structural problem rather than hiding it behind minor technical fixes.
We combine crawl/index checks, source-page changes, query monitoring and normal conversion analytics. AI answers are sampled repeatedly because individual responses can vary over time and by context.
OAI-SearchBot access, infrastructure policy and stable first-party sources.
Read the guide →SEO fundamentals, useful first-party content and truthful structured data remain the base.
Read the guide →Combine entity, crawl, conversion and commercial findings in one backlog.
B2B Website Audit →Review business facts, content, source evidence and search access. Identify which buyer questions your pages answer clearly and which need better support.
Answer engine optimization and generative engine optimization describe overlapping work on discoverability in AI-powered answers. Agree on an initial audit or an ongoing improvement plan with specific deliverables.
Compare selected buyer questions using a recorded language, platform, date and available location context. Review source citations and actual referrals; a single answer is not a stable ranking.
Tell us what you sell, who needs to decide and what needs to change. A short brief is enough for the first conversation.