Adapting Local Content for AI Search: Beyond 'Best X' Lists
The Shifting Landscape of Local Search: From SEO to AEO
For years, a cornerstone of local search engine optimization (SEO) involved creating content around the format: "Best [service] companies in [location]". This strategy aimed to capture local search intent by listing various providers, often including one's own business, while maintaining an objective tone. The goal was to establish authority and attract organic traffic from users actively seeking services in their area. However, the rise of AI-driven search experiences, particularly AI Overviews, is fundamentally reshaping the effectiveness of this traditional approach.
What was once a reliable tactic for driving traffic and generating leads is now presenting a curious paradox: AI models are increasingly capable of consuming and synthesizing information from these "best of" articles without ever directing a user to the original page. More critically, observations from HubSpot user groups and broader industry studies reveal that while AI might cite such content as a source of information, it doesn't always translate into a recommendation for the originating business. In some cases, the AI-generated list of recommended companies might even feature competitors, despite the original content being deemed trustworthy enough for citation.
The AI Paradox: Cited but Not Recommended
This phenomenon highlights a significant shift: AI's ability to extract and present information means that content is no longer solely judged by its capacity to attract clicks. Instead, its intrinsic value and perceived objectivity are paramount. If an article, despite being well-researched, is overtly self-promotional, AI algorithms are becoming sophisticated enough to parse this intent. They can leverage the factual data within the article while simultaneously identifying and prioritizing other entities that appear to offer a more neutral or objectively superior fit based on their internal criteria.
This challenge was recently underscored by a prominent study on Google AI Overviews, which found that self-promotional "best" listicles were indeed cited, but often recommended competitors. This isn't an isolated incident; it signals a broader pattern that demands a re-evaluation of content strategy for any business leveraging HubSpot for its marketing and sales efforts.
Restructuring Content for AI Engine Optimization (AEO)
The solution isn't to abandon local content but to evolve its structure and focus. The key is to move beyond mere listings and instead prioritize education and objective evaluation. Here's an adapted approach that has shown greater success:
1. Lead with Buyer Education and Evaluation Criteria
Instead of immediately diving into a list of companies, start by educating the reader on what constitutes excellence in the service or product category. What are the critical factors buyers should consider? What red flags should they watch out for? This establishes your content as a genuinely helpful resource, building trust and authority.
- Focus on "What makes a company good at X?" Discuss industry standards, essential skills, certifications, client success metrics, and service philosophies.
- Provide a framework for evaluation. Guide buyers on how to assess potential providers, offering clear criteria and questions to ask.
2. Position Your Business Against Objective Standards
Once you've laid out the objective criteria for a "good" provider, naturally introduce your own company by demonstrating how you meet or exceed those very standards. This isn't a hard sell; it's a logical presentation of your value proposition within an educational context.
- Show, don't just tell. Instead of saying "We are the best," explain "Based on criteria A, B, and C, our company excels by doing X, Y, and Z."
- Integrate case studies or testimonials that align with the established evaluation points.
3. Strategically Discuss Competitors (If Necessary)
If you choose to mention competitors, do so within the framework of the established evaluation criteria. Avoid making direct comparisons that sound dismissive. Instead, focus on differentiating your unique strengths in a way that reinforces your alignment with the buyer's ideal solution.
Actionable Steps for HubSpot Users
For HubSpot users managing content, sales, and service, adapting to AEO requires a strategic audit and revision process:
- Content Inventory & Audit: Identify all "Best X in location" type articles within your HubSpot CMS. Evaluate their current performance and how they are structured.
- Restructure Existing Content: For high-value pages, re-draft the introduction and core body to prioritize buyer education and objective criteria before introducing your company.
- New Content Creation: Adopt this new framework for all future local content, ensuring it's built on a foundation of helpfulness and objective value.
- CRM Integration: Ensure that the insights gained from this content (e.g., common buyer questions, evaluation criteria) are integrated into your HubSpot CRM for sales and service teams, enabling them to speak the same language as your content.
This proactive approach helps ensure that your content not only informs AI but also positions your business as an authoritative, unbiased resource that AI is more likely to recommend. By focusing on genuine value and objective guidance, you can transform your local content into a powerful asset in the age of AI-driven search.
In the context of evolving digital outreach, understanding how AI processes and prioritizes information is crucial. Just as a robust inbox spam filter is essential for maintaining the integrity of your HubSpot shared inbox by blocking irrelevant or malicious communications, a smart content strategy ensures that your valuable content isn't relegated to the digital junk folder of AI recommendations, but actively contributes to lead quality and clean CRM data by preventing spam contacts and unqualified leads from entering your pipeline.