Lens by The Passion
Are you optimized for the next generation of buyer search queries?
Before a potential client ever speaks to you, they've likely asked ChatGPT or Claude for recommendations. If your marketing website is too generic, soft, or lacks high-contrast trust data, AI indexes ignore you. Lens parses your URL to run semantic visibility audits instantly.
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The difference one rewrite makes
Same section, same intent — one gets ignored by AI, one gets recommended.
“We’re a leading provider of innovative solutions tailored to your business needs.”
Nothing specific enough for an AI to repeat.
“We build core banking software for regional credit unions — cutting loan approval from 9 days to 36 hours.”
Specific enough to paraphrase, cite, and recommend.
Every category. Any industry.
The five questions stay the same — what “specific and trustworthy” means changes by sector.
SaaS & Tech
AI needs concrete comparisons and use cases to recommend you over a competitor.
>“Which CRM integrates best with Slack?”
Professional Services
Named clients and quantified outcomes are what AI checks before recommending you.
>“Who is the best branding agency in Bangalore?”
E-commerce & D2C
Product schema decides whether AI answers “which should I buy” with you in the running.
>“What is the best organic skincare brand in India?”
Healthcare & Wellness
Clear services and credentials help AI recommend the right practitioner responsibly.
>“What is the best diabetes clinic in Bangalore?”
Real Estate & Local
Local trust signals let AI answer “who should I call” with your name.
>“Who are the top interior designers near me?”
Manufacturing
Detailed spec sheets are how AI matches you to a specific technical RFQ.
>“Which supplier makes custom aluminium enclosures?”
Frequently asked questions
A technical scan checks HTTPS, schema, and metadata; then an AI model reads your homepage and judges how clearly it explains, proves, and structures your business.