What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of optimizing your business's online presence so that AI assistants like ChatGPT, Google Gemini, Claude, and Perplexity recommend you in their responses. Google's official AI optimization guide (May 2026) validates GEO as the next evolution of SEO. Modern SEO now encompasses both traditional Google rankings and AI-powered discovery. GEO involves building entity consistency across platforms, creating structured content AI models can parse, and establishing authority signals that both Google and AI assistants trust.

How do I get my business recommended by ChatGPT, Gemini, or Perplexity?

To get recommended by AI assistants, you need to build what we call 'entity authority.' This means ensuring your business information is consistent across all platforms (website, LinkedIn, Crunchbase, Google Business Profile), publishing expert content on high-authority platforms like Medium and Quora, adding structured FAQ data to your website, and building citations — mentions of your brand on credible third-party sources.

What is the difference between SEO and GEO?

According to Google's official AI optimization guide, GEO is not separate from SEO — it is the next evolution of it. Google states that 'optimizing for generative AI search is optimizing for the search experience, and thus still SEO.' Traditional SEO focused on ranking in Google's search results. Modern SEO (which includes GEO) optimizes for both Google rankings AND AI-powered answers from ChatGPT, Gemini, Claude, and Perplexity. Both rely on the same foundation: quality content, technical excellence, and entity authority.

How does Qlavo help businesses with AI visibility?

Qlavo provides end-to-end AI visibility services. We start with an AI audit — testing how ChatGPT, Gemini, Claude, and Perplexity currently perceive your business. Then we implement a GEO strategy: standardizing your entity data across platforms, creating optimized content on high-authority sites, adding structured schema markup to your website, and building citation networks. Our clients typically see their first AI recommendation improvements within 30 days.

How does AI-powered revenue forecasting work?

Our custom forecasting models analyze your historical revenue, booking, and operational data to predict future performance with significantly higher accuracy than spreadsheet-based methods. We build bespoke machine learning models tailored to your business — not generic templates.

What kind of businesses does Qlavo work with?

We work with growth-stage businesses in India, Dubai, the UK, and internationally — typically companies doing $500K-$50M in revenue that want to leverage AI before their competitors do. Our clients include hospitality brands, professional services firms, e-commerce companies, and B2B SaaS businesses.

Is Qlavo a Delhi-based GEO agency?

Yes, Qlavo is headquartered in Delhi, India. We provide Generative Engine Optimization (GEO) services to businesses across India and internationally, helping them get recommended by ChatGPT, Gemini, Perplexity, and Google AI Overviews. As a Delhi-based GEO agency, we understand the unique needs of Indian businesses looking to build AI search visibility.

How long does it take to see results from GEO?

Results vary by platform. Perplexity and Google Gemini, which have real-time web access, can show improvements within 1-2 weeks. Google's AI Overviews typically respond within 2-4 weeks. ChatGPT and Claude update their knowledge bases less frequently, so results there usually appear within 30-90 days.

By Qlavo Research • Published: April 13, 2026 • Updated: May 4, 2026 • 7 min read

We Ran HubSpot Through a GEO Audit.
Here's What We Found.

HubSpot is an SEO giant. But when we applied our Generative Engine Optimization (GEO) framework to their public data, we found surprising technical gaps that leave them vulnerable to AI recommendation shifts.

Executive Summary

Overall GEO Score

38/50 (76%)

Status

Enterprise Mature

Dimension 1: Crawler Access (7/10)

HubSpot's robots.txt correctly defaults to allowing all bots. However, it lacks explicit instructions for AI crawlers like GPTBot, PerplexityBot, or GoogleOther. While technically permitted, this passive access is a risk factor as AI crawling policies become more complex.

Dimension 2: Schema Coverage (5/10)

This is the biggest gap. Verified via live audit, HubSpot's listicle content (e.g., "Best Sales Management Software") is missing ItemList schema.

Finding: Without ItemList schema, AI models must gamble on HTML parsing rather than reading a defined list object.

Dimension 3: Content Extractability (8/10)

HubSpot excels here. Their use of TL;DR blocks and structured headers makes their content highly machine-readable. Their "State of Marketing" reports provide the specific, attributable statistics that AI models love to cite.

Dimension 4: Entity Consistency (8/10)

Strong brand-level consistency. We verified they link to their **Wikidata** entity in their homepage schema — a sophisticated move that anchors their identity for LLM training sets. Their only weakness is product-category fragmentation across different hubs.

Dimension 5: Third-Party Authority (10/10)

The gold standard. HubSpot is cited by thousands of high-authority domains, Gartner properties, and news outlets. This massive "corroboration web" makes them virtually immune to technical errors in the long run.

Does your brand stand a chance?

If an SEO giant like HubSpot has schema gaps, your business likely does too. These gaps are your biggest opportunity to leapfrog competitors in AI search results.

Run Your Free GEO Audit

We Ran HubSpot Through a GEO Audit. Here's What We Found.