Observed Signal · Aug 11, 2026 · Product Launch · Source: Meedia · Impact: 2/5 · Sentiment: Positive
Promptwatch CEO on Generative Engine Optimization (GEO)
Promptwatch founder and CEO Gijs de Groot discusses how search behavior is shifting from traditional engines like Google to AI-driven systems, and why brands must optimize across a broader information ecosystem—what he calls Generative Engine Optimization (GEO). Promptwatch, founded in March 2025, offers a platform that measures brand visibility in AI dialog systems, uses CDN log data and other signals to recommend technical and editorial optimizations, and has introduced a new solution called "Agentic AI Search Optimization" that can apply optimizations automatically. De Groot stresses the continuing importance of owned websites, high-quality content, and trusted sources while warning against mass low-quality AI content and an exclusive reliance on LLM-centered strategies.
Introduces a startup product and operational insights for optimizing visibility in AI chat/LLM responses (GEO), which is relevant to MarTech/AdTech practitioners but does not represent a major platform policy or industry-shifting announcement.
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Key Takeaways & Evidence Grounding
- Promptwatch was founded in March 2025.
- Promptwatch offers a platform to optimize brand visibility in AI-driven dialog systems and to measure visibility in language-model answers.
- Promptwatch's entry packages start at €85 per month; the company also offers business licenses and enterprise solutions.
- Promptwatch introduced a new solution called "Agentic AI Search Optimization" that connects directly to a customer's website and can automatically implement optimizations and publish content.
- Promptwatch analyzes about 100 million AI data points per day and uses CDN log data (examples cited: Cloudflare and Akamai) to infer real crawler visits.
Connected Companies & Entities
9 Entities mapped“I am co-founder and CEO of Promptwatch. We founded the company in March 2025.”
“Is that basically an evolution of what Yext has been doing for classical search engines for years?”
“We gain these insights in part from CDN log data, for example from Cloudflare or Akamai.”
“We gain these insights in part from CDN log data, for example from Cloudflare or Akamai.”
“Trust in the answers is the most important capital for providers like OpenAI.”
“A clear pattern emerges: Wikipedia, Reddit, Reuters, Forbes, Business Insider, and review platforms are among the most important sources.”
“A clear pattern emerges: Wikipedia, Reddit, Reuters, Forbes, Business Insider, and review platforms are among the most important sources.”
“A clear pattern emerges: Wikipedia, Reddit, Reuters, Forbes, Business Insider, and review platforms are among the most important sources.”
“A clear pattern emerges: Wikipedia, Reddit, Reuters, Forbes, Business Insider, and review platforms are among the most important sources.”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
GEO: Generative Engine Optimization is Digital PR
Generative search surfaces shift brand perception from the website to the AI model’s answers, making traditional SEO metrics like rankings, CTR, and organic traffic less predictive. Even top-ranked pages may not be cited, as sources and clicks can be bypassed in AI responses. Gartner forecasts traditional search volume could fall by up to 25% as users rely on AI chatbots; Ahrefs notes Google AI Overviews reduce CTR for top results; and in some sectors generative AI is already used in the purchase process by about 60% of buyers. The article argues GEO (Generative Engine Optimization) is closer to Digital PR, relying on trust signals from journalists, third parties, and multi‑platform presence beyond the website. Three levers: Entity optimization (machine-readable data, consistent identity), Multi-platform authority (credible third-party signals), Hallucination prevention (close data gaps with verified content). It introduces Share of Model as a monitoring target, via prompts, source tracking, and contextual evaluation. Published Feb 12, 2026.
Brands Shift Focus to AI Search for Visibility
MarTech contributor Greg Kihlström argues that brand discovery is shifting from traditional search to AI-driven answer engines, making Generative Engine Optimization (GEO) a C-suite priority. Conductor research cited in the article finds nearly one-third of digital marketing leaders view GEO as the top performance challenge for 2026, with 97% reporting positive results from GEO efforts. Companies are reallocating budget and building GEO capabilities in-house—including structured data/schema work, API-based monitoring, publishing long-form authoritative content and prioritizing first‑party data—to remain discoverable by LLM-powered answer engines like ChatGPT and Gemini. The piece says measurement is moving from volume metrics to quality-focused KPIs (e.g., direct conversions from AI referrals, AI search market share and brand sentiment in AI outputs), and warns brands that delays may widen the gap between high-maturity and laggard organizations.
Generative Engine Optimization Goes Mainstream
CiteLens published a benchmark study (June 2026, Turkey) that ran 320 buyer queries across four AI answer engines — Google AI Mode, Perplexity, Claude and ChatGPT — and compared each engine’s citations to Google and Bing organic results. Results show Google AI Mode (93%) and Perplexity (89%) overwhelmingly cite Google’s top-10 organic results, indicating classic SEO strongly influences those engines. Claude cited Google top-10 results 53% of the time and skewed toward well-known brands (58% of citations went to sites with a Wikipedia presence). ChatGPT cited only 30% from Google top-10 and surfaced many niche domains; fewer than 4% of ChatGPT’s citations were in Bing’s top-10. CiteLens says the findings mean there is no single “AI SEO” and publishes an AI Leaderboard and tooling to measure AI visibility by engine, country and sector.
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