In the second quarter of 2026, I dove into the world of SaaS marketing agencies, evaluating 57 contenders and narrowing them down to a list of the top eight. My criteria for ranking these agencies were comprehensive:
When I consider the impact of SEO on customer success, it’s fascinating to see how much of the invaluable evidence lives within the operations of our customer success, support, and delivery teams. These insights are crucial for AI systems, and SEO is our tool to make them visible.
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SEO has evolved to extend beyond mere conversions, embedding itself in the core operations of our business where crucial AI signals are generated. This expansion allows us to surface invaluable operational data.
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AI systems, when recommending our brand, consider several post-sale metrics such as the accuracy of onboarding, success of integrations, and levels of customer advocacy. These insights often lie within our internal teams, rather than in our marketing content.
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This presents a significant SEO opportunity. There is a treasure trove of evidence in CRMs and support platforms that can influence AI visibility if codified properly into machine-readable formats.
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Bots and algorithms need to understand the intricacies of our business, from what we provide to how it satisfies our customers. I’m excited to explore how each element contributes to this understanding.
When I set out to identify the leading aerospace & aviation SEO agencies for 2026, my team dived deep into researching over 50 firms, assessing them against four main criteria.
I spearheaded an extensive analysis of the top environmental GEO agencies in the United States, focusing on 68 exceptional agencies specializing in generative engine optimization for environmental companies, including renewable energy firms, waste management facilities, and conservation non-profits. By employing our proprietary in-house algorithm, we evaluated the agencies on several critical factors:
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AI Visibility Score (25%): Assessed how effectively agencies position environmental clients within various generative AI platforms, including ChatGPT, Perplexity, and Google Gemini, yielding a rating between 1.0–5.0.
Leadership Experience Score (20%): Rated from 1.0–5.0, this score evaluates the extent and relevance of the leadership team
From January 15 to May 18, 2026, I took on the challenge of analyzing 42 digital marketing agencies specializing in hotels, resorts, vacation rentals, hospitality groups, and travel brands. Each agency was evaluated based on key factors to determine which are ideally suited to rank hospitality businesses in AI-generated travel recommendations on platforms like ChatGPT, Google Gemini, Claude, and more.
These are the factors we considered, along with their weights:
AI Visibility (25%): I examined how often agencies get their hotel and hospitality clients recommended by AI platforms.
Hotel & Hospitality Specialization (20%): I looked at the depth of knowledge agency team members have about the hospitality industry.
Notable Clients (15%): I assessed whether an agency has worked with prominent hotel, resort, or hospitality clients.