He demoted his SaaS to sell a service and 4x'd revenue in 12 months

Summary

This The SaaS Podcast episode features Omer Khan interviewing Farzad Rashidi about how Responna moved from self-serve outreach SaaS into a done-for-you AI Visibility Service. The story links a SaaS growth plateau, customer execution limits, outcome-priced work, publisher relationships, and Generative Engine Optimization into one operating case. Its core lesson is that Responna did not abandon software; it redirected software, AI, and workflow design toward delivering the customer-visible outcome.

Key Claims

• Responna began as an internal tool at Visme for finding websites, backlinks, collaborations, and brand mentions, then launched as a standalone product in 2019.
• The SaaS product plateaued because churn caught up with new sales; customers liked the tool but often lacked time, people, writing capacity, and publisher follow-through.
• A marketing-agency customer resisted an $800 monthly software subscription but accepted a much larger pay-per-result arrangement once Responna offered to do the work.
• The first service version was delivered manually with a spreadsheet and internal operator, then expanded into a client portal, publisher portal, and back-end order/delivery system.
• Responna reports that the customer grew from roughly $7,000-$8,000 per month to about $65,000-$70,000 per month, and that company revenue grew fivefold over the prior 12 months.
• Farzad frames the model as productized service rather than an ordinary agency: pricing, volume discounts, add-ons, publisher operations, and delivery options are structured so work can move through an assembly-line process.
• The AI visibility method starts by testing target buyer prompts in tools such as ChatGPT, Claude, Google AI Overviews, and Gemini, then identifying which third-party pages are being cited.
• Farzad argues that directly pitching already cited sites has very low yield, so Responna uses Lookalike Publisher Outreach to find similar publishers with authority and relevant keyword profiles.
• The service creates fresh third-party content that resembles already cited pages, places the client brand prominently, and tries to move the brand into the citation pool over time.
• Responna’s moat is presented as a combination of software, AI automation, process design, aggregated demand, proprietary publisher data, and a Publisher Relationship Moat.

Key Quotes

“service as software” - market frame Omer uses for AI-native services.

“not magic” - Farzad’s caveat that AI visibility work can be done manually in-house.

“less than a 1% success rate” - Farzad’s estimate for directly pitching already cited sites.

Connections

• Omer Khan - host interviewing Farzad.
• Farzad Rashidi - Responna co-founder and central guest.
• Responna - company whose SaaS-to-service pivot anchors the episode.
• Visme - original company context where the internal outreach tool began.
• The SaaS Podcast - show context for the episode.
• AI Visibility Service, Generative Engine Optimization, AI Discovery SEO, and AI Search Analytics - AI answer visibility and measurement branch.
• Service As Software, Service Productization, Result As A Service, and Outcome-Based AI Pricing - business-model and pricing branch.
• Product Led Willingness To Pay and Customer Pull - validation patterns exposed by the agency customer and existing-customer demand.
• Lookalike Publisher Outreach and Publisher Relationship Moat - specific operating method and defensibility pattern.
• ChatGPT, Gemini, and Google - AI answer/search surfaces and platform context mentioned in the workflow.

Contradictions

• No direct contradiction with existing wiki content. The episode reinforces the wiki’s Service As Software and Result As A Service threads with a concrete SaaS-to-service pivot, while adding a sharper distinction between AI search analytics and done-for-you AI visibility delivery.
• The source adds a useful tension to Generative Engine Optimization: optimization is not only prompt testing and measurement, but may require third-party publisher supply, fresh content, and off-page SEO work that resembles older link-building systems.