The agent assembled a comprehensive explanation of Tikab's business by fetching the company's website pages directly and supplementing with LinkedIn and Tracxn profiles, but had to work around significant gaps: pricing is completely absent from the site, case studies are not published, and team composition is opaque. The site is moderately navigable for discovery (services, sectors, about pages load cleanly) but poorly equipped for evaluation (no transparent pricing, no client evidence, limited AI service detail).

• ›Steps [0–6] directly fetched Tikab's own pages (homepage, services, sectors, about) and returned clean HTML with meta descriptions that shaped the agent's understanding of services (value creation, applied AI, work redesign) and focus sectors (fintech, climate). These were the primary sources of factual positioning.
• ›Step [8] probed for /pricing and returned 404—the site has no published pricing page at all, forcing the agent to acknowledge opacity and note that contact is required. This is a major friction point for the discovery-evaluation workflow.
• ›Steps [11, 12, 14, 16, 17] were web searches; only [11] and [14] attempted to find pricing or competitive context off-site, but neither returned actionable results (Crunchbase was blocked, competitor alternatives were too generic). The agent relied on prior knowledge and site content instead.
• ›Steps [15, 20] fetched Tracxn and LinkedIn profiles; [20] returned LinkedIn company data confirming the company exists and has a public profile, but the LinkedIn response was truncated and did not expose full team roster or founder details in the trajectory. The agent had to infer Hamidreza Rezaeian as founder from prior knowledge (noted in final response without clear source).
• ›Steps [7, 10] attempted /work and /team—both returned 404, indicating either missing pages or shallow navigation structure. The site does not expose a portfolio or team page via direct URL.
• ›The site surfaces service descriptions via clear /services/* and /sectors/* URL patterns with good metadata (title, description tags), making it easy for the agent to discover and fetch. However, it lacks case studies, pricing, team bios, and founder background—all common evaluation signals for a consulting firm.
• ›The agent had to construct its final answer almost entirely from on-site service descriptions + LinkedIn verification + web search fallbacks. No single page answered 'how is Tikab different' or 'what does it cost'—these required synthesis and gap-filling.