Answer Engine Optimization Grader
Use HubSpot's free Generative Engine Optimization (GEO) tool to understand how ChatGPT, Perplexity, and Gemini characterize your brand. Get a scored, cross-validated brand assessment across five dimensions — with a written interpretation, narrative theme analysis, source quality breakdown, and an exportable report.
The shift from traditional SEO to generative engine optimization represents the most significant transformation in digital marketing since Google's inception. The importance of generative engine optimization lies in this: the majority of B2B buyers now use generative search engines to research solutions, meaning your brand's representation in AI-generated responses directly determines customer perception and purchase decisions before they ever visit your website.
In 2026, generative engine optimization techniques focus around creating clear, comprehensive content that AI can easily understand and reference. HubSpot's free GEO tool evaluates your brand across five scored dimensions and cross-validates results across GPT-5.2, Perplexity, and Gemini, giving you a baseline for where your brand stands in AI training data today.

A raw score alone doesn't tell you what to make of your results. HubSpot's GEO tool scores your brand across five distinct dimensions — Sentiment Analysis, Presence Quality, Brand Recognition, Share of Voice, and Market Position – and pairs those scores with a written interpretation explaining what they reflect about your brand's current AI characterization. You get both the numbers and the context to understand them.

HubSpot's GEO tool accepts any brand name, so you can run the same five-dimension analysis on competitors and compare results directly against your own. See how AI platforms score a competitor's sentiment, recognition depth, share of voice, and market positioning — and identify where your brand has stronger AI characterization and where gaps exist. There's no limit to how many brands you can analyze.

Every analysis generates a report you can export and share with stakeholders — no manual note-taking or screenshots required. Whether you're presenting AI brand performance to leadership, aligning with your content team on where gaps exist, or documenting a baseline before making changes, the exportable report gives you something concrete to work from. Run it on a competitor and you have a side-by-side comparison ready to share.
The best thing that HubSpot has done since the Website Grader. A really nice marketing move!
Love this new tool to understand how AI sees your brand.
Jennifer Nixon
Independent Consultant
Love this. Tested it. Results are amazing. They show me exactly what I’m doing right (or wrong…).
This is so cool! What a genius idea to have AI figure out your share of voice!
Improving your brand's representation in AI-generated responses requires a different approach than traditional SEO. These practices improve how AI platforms understand, characterize, and reference your brand.
AI platforms retrieve and synthesize information at the passage level, not the page level. Each section of your content should be self-contained — able to answer a specific question without requiring surrounding context. Lead with the answer before elaborating, use short focused paragraphs, and organize content with descriptive headings that work as standalone statements.
Semantic triples follow a Subject → Predicate → Object structure that makes relationships explicit and easy for AI models to parse. For example: "HubSpot's CRM → integrates with → Gmail, Outlook, and over 1,500 apps." Embedding clear, declarative statements throughout your content helps AI models accurately associate your brand with specific capabilities and categories.
AI platforms are more likely to reference content that contains specific, verifiable claims. Replace vague marketing language with quantifiable statements: named customers, measurable outcomes, specific timeframes, and cited data. Content that includes statistics, case study results, and named methodologies gives AI systems something concrete to cite.
Ensure your brand is consistently and accurately described across the authoritative sources AI training data draws from — your website, industry publications, analyst mentions, and third-party profiles. Consistent entity information (company name, founding, products, leadership) across these sources strengthens how AI models understand and represent your brand.
FAQ sections mirror the natural language questions users ask AI platforms, making them highly extractable for AI synthesis. Write questions in conversational language, lead each answer with a direct response, and cover the full range of what, how, why, and when questions in your category.
Input your company name, location, industry, and products or services. The tool accepts any brand — analyze your own company or run the same analysis on a competitor.
The tool sends your brand information to GPT-5.2, Perplexity, and Gemini simultaneously, asking each model how it characterizes your brand based on its training data. Results are cross-validated across all three platforms.
Your results are calculated across all five dimensions, producing individual dimension scores and a total composite score out of 100.
Complete the short form to receive your written interpretation, narrative theme analysis, source quality breakdown, and an exportable report to reference over time or compare against competitor analyses.
Generative engine optimization (GEO) is the practice of optimizing your brand's presence to achieve accurate, favorable representation in AI-generated responses from platforms like ChatGPT, Perplexity, and Gemini. Where SEO focuses on ranking in search results, GEO focuses on how AI systems characterize your brand when synthesizing information for users — shaping perception before buyers ever visit your website.
SEO optimizes for keyword rankings and website traffic. GEO optimizes for how AI platforms characterize your brand in synthesized responses. The content strategies differ too: SEO favors comprehensive long-form pages optimized for specific keywords, while GEO requires modular, self-contained content sections that AI can extract and reference independently. Both matter — they operate on different parts of the buyer journey.
AI platforms increasingly mediate how buyers form opinions about brands. When a prospect asks ChatGPT or Perplexity about solutions in your category, the response shapes their perception before they visit any website. Understanding your current AI characterization — and the sources driving it — is the foundation of any effective GEO strategy.
The tool evaluates your brand across five dimensions: Sentiment Analysis (up to 40 pts), Presence Quality (up to 20 pts), Brand Recognition (up to 20 pts), Share of Voice (up to 10 pts), and Market Position (up to 10 pts). Results are cross-validated across GPT-4o, Perplexity, and Gemini and delivered as a composite score out of 100, a written interpretation, narrative theme analysis, source quality breakdown, and an exportable report.
Start by establishing your baseline using HubSpot's free GEO tool — enter your brand information and receive a scored assessment of how AI platforms currently characterize your brand. Use your results to identify which dimensions are weakest, then apply GEO best practices to address the underlying gaps: improving content structure, building entity authority, and increasing your brand's presence in authoritative sources AI training data draws from.