Good website. Solid SEO. Zero idea what AI tools were doing with their content.
Philips Machine Tools India sells CNC machines and 3D printing systems to manufacturers across India, the US, the Middle East, Malaysia, and Singapore. The team had invested heavily in their website and traditional SEO. Google rankings for industry terms were strong. Organic visibility looked healthy on every dashboard they had. Then it stopped mattering.
The dashboards no longer covered the questions buyers were actually asking. Engineers and procurement teams were going to ChatGPT, Perplexity, Microsoft Copilot, and Google AI Overviews to research vendors before they searched on Google. Philips had no way to tell whether AI tools were citing their content, recommending them as a vendor, or skipping past them entirely.
They knew AI mattered. They had no visibility, no metrics, and no playbook for what to optimize.
AI was rewriting how buyers research. Existing analytics couldn't see it.
Traditional analytics gave Philips pageviews and sessions. None of that told them which visits originated from AI bots, which AI platforms were pulling content from their site, or how AI-driven journeys converted into qualified leads.
Optimization decisions ran on guesswork. Nobody could prove the revenue impact. The marketing team needed a tool that closed both gaps.
An internal recommendation. A free trial. A two-account setup.
Philips was introduced to Writesonic through Mikhail Modi, a senior team member who flagged it as the right tool for AI visibility and SEO. Swati from Writesonic handled onboarding and unlocked early access to advanced models during the free trial.
Philips operates across multiple regions with separate plan structures, so the team split usage into two Writesonic accounts: one managed by the US team, one managed by India. The India marketing lead became the primary user and champion of Writesonic GEO for the Indian website.
Three jobs Writesonic does inside Philips' marketing stack.
Action Center. Where the marketing lead spends most of their optimization time. The dashboard surfaces concrete per-URL recommendations: schema fixes, robots.txt updates, citation strengthening, and bot-readability improvements. Generic SEO tools tell you to “improve content quality.” Action Center tells you which page, which schema field, and which AI bot will start indexing differently after the fix.
AI Bot Analytics. Daily monitoring lives here. The dashboard shows which AI bots visited the site, which pages they hit, which regions and platforms drove the strongest activity, and how bot visits converted into human visits and final leads. OpenAI, Perplexity, Microsoft Copilot, and Google bots all show up with attribution detail.
Brand-aware AI content. Philips trains the AI on their brand voice and product context. The output is more accurate and more on-brand than generic ChatGPT responses, which matters when the content is going on a B2B manufacturing site with technical buyers.
2x bot visits. 3x conversions. Top 3 in AI visibility.
Before Writesonic, Philips had no measurement of AI-driven bot traffic. After implementing GEO and tracking performance, the comparison between the first month of setup and a recent month told a clear story:
• AI bot visits: 12.7k → 24.1k (~2x)
• Human conversions from AI: 7 → 23 (3x+)
AI visibility share moved from around 1.7% to approximately 2.7%. In their competitive leadership board view, Philips holds ~3% AI visibility and sits in the top 3 brands in their category.
The team has set a target of 20% AI visibility share and is using Action Center recommendations as the roadmap to get there.
Every lead, UTM-tracked from bot to human.
Beyond visibility and traffic, Philips now receives qualified leads originating from AI tools. Engineers and procurement buyers discover Philips through ChatGPT or another AI assistant, click through to the website, and submit inquiries. Writesonic tags each one with UTM parameters and attributes it to bot-originated traffic.
The marketing team didn't configure any of this UTM tracking manually. Writesonic's tracking layer ties the bot-to-human-to-lead path end-to-end automatically. For a CMO trying to justify AI search investment, that attribution closes the proof loop.
What's next: 20% AI visibility share.
Philips Machine Tools India now uses Writesonic GEO as a core part of their marketing stack. The roadmap from here:
• Continue applying Action Center recommendations on schema, robots.txt, and citations
• Push AI visibility share from ~3% toward the 20% target
• Watch the bot-to-lead funnel grow as AI search continues to scale across B2B research behaviour
The team also flagged two roadmap requests: Apollo contact enrichment and a fix for occasional third-party misclassification in recommendations. Both are on the Writesonic roadmap.
For Philips, AI search is now a measurable lead channel with full attribution from bot to lead.
