Marketing

Shaping Your Brand's AI Narrative: Beyond Traditional SEO with HubSpot AEO

Auditing AI's understanding of a company by identifying outdated or incorrect online citations.
Auditing AI's understanding of a company by identifying outdated or incorrect online citations.

The Evolving Landscape of Brand Perception: Beyond Traditional SEO

In today's AI-driven digital world, a company's online identity is no longer solely defined by its own website or traditional search engine rankings. Artificial intelligence, particularly large language models (LLMs) like ChatGPT, Gemini, and Claude, are actively forming opinions and narratives about businesses based on a vast array of online sources. For marketing and operations teams, understanding and influencing this AI-driven perception—what we might call AI Entity Optimization (AEO)—is becoming as critical as traditional SEO.

The fundamental shift lies in the starting point of our strategy. Instead of immediately asking, "What new content should we create?" the more pertinent question now is, "What does AI already believe about this company?" This reorientation allows organizations to first identify and rectify existing misinformation before attempting to build new narratives.

HubSpot AEO dashboard tracking improvements in AI brand visibility and citations after strategic content updates.
HubSpot AEO dashboard tracking improvements in AI brand visibility and citations after strategic content updates.

Auditing AI's Understanding: A Step-by-Step Approach

To uncover AI's current understanding of your brand, a comprehensive audit involves both manual exploration and specialized tools. Here's a practical framework:

  1. Manual LLM Queries: The Baseline Assessment

    Begin by directly querying various LLMs with foundational questions about your company. This manual process provides immediate insights into the AI's current knowledge base:

    • Who is this company?
    • What do they specialize in?
    • Who is the owner/CEO?
    • What are they known for?
    • How are they different from their competitors?

    The goal here is to assess whether AI accurately understands the core entities associated with your business and the relationships between them. Pay close attention to any discrepancies or outdated information that surfaces. For instance, you might discover an 11-year-old YouTube video still influencing the narrative, or an outdated Chamber of Commerce profile with incorrect company details.

  2. Identifying Source Citations: Where AI Learns

    The most revealing part of an AEO audit is understanding where AI is getting its information. Unlike traditional search engines that might prioritize your own website, LLMs often place significant weight on third-party corroboration. A company's own website can make claims, but an independent source validating that information lends far greater credibility to AI models.

    Consider the example of a local business whose Chamber of Commerce profile, though outdated, was heavily cited by AI. This wasn't merely about the content of the profile, but the independent validation it provided. AI seeks to connect the dots, and trusted external sources act as crucial anchors in forming its understanding of a business entity. The principle is simple: a model seeing you in one place might consider it an advertisement; seeing you in five independent, reputable places establishes it as a fact.

  3. Leveraging HubSpot AEO Tools for Broader Tracking

    Once initial manual research identifies key discrepancies and influential sources, HubSpot's AEO tools become invaluable for broader, ongoing tracking. These tools can monitor:

    • AI Brand Visibility: How often and prominently your brand appears in AI-generated responses.
    • Mentions and Citations: Tracking direct references and specific data points AI uses.
    • Sentiment: Analyzing the overall tone and perception AI holds about your brand.
    • Competitor Visibility: Understanding how your brand stacks up against others in AI's eyes.
    • Individual Prompt Performance: Assessing how different queries yield results related to your company.
    • Recommendations: HubSpot's insights on areas for improvement.

    The fascinating aspect is observing the impact of changes. Updating outdated content or correcting erroneous third-party citations can visibly increase AI brand visibility across different models, though some LLMs (like Gemini and Perplexity) might reflect changes faster than others (like ChatGPT). Sometimes, direct mentions might not shift dramatically, but the number and quality of citations will, indicating a strengthening of AI's foundational understanding of your business.

Beyond Content Creation: The AEO Imperative

For many companies, the biggest AEO challenge isn't a lack of new content. Instead, it's a fundamental disconnect between their current reality and the outdated or inaccurate information AI is using to form its narrative. The imperative is clear: organizations must first understand what sources are shaping their AI narrative, then diligently fix what's wrong, and finally, strategically distribute their actual expertise across enough trusted, independent sources that AI can accurately connect the dots.

This also extends to technical hygiene. For content to be quotable by LLMs, it needs to be discoverable and structured appropriately. Ensuring explicit robots.txt entries for bots like GPTBot, ClaudeBot, and PerplexityBot is a necessary, though not always sufficient, step to ensure your site is indexed and passages can be cited. A technically sound website provides the foundation for AI to access and process your information effectively.

Ensuring a Coherent Digital Identity

In essence, AEO is about taking control of your brand's digital identity in the age of AI. It's a proactive strategy to ensure that when an AI model is asked about your company, it provides an accurate, up-to-date, and authoritative response. This involves a continuous cycle of auditing, correcting, and strategically disseminating information across the digital ecosystem, focusing on the quality and trustworthiness of sources over sheer volume.

Maintaining a clean and accurate digital footprint is crucial for effective marketing and operations. By proactively managing how AI perceives your brand, you not only enhance your visibility but also prevent the accumulation of misinformation that can lead to wasted efforts and misdirected leads. An effective AI spam filter for HubSpot can play a critical role in ensuring that your CRM remains clean, preventing bot submissions and fake leads from skewing your AI's understanding of genuine engagement.

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