# Bhavay Gupta

> Bhavay Gupta is a B2B SaaS SEO and AEO consultant. He runs search everywhere optimization, conversion rate optimization, inbound lead generation and CRM orchestration for B2B SaaS. Google and Bing, AI answers, YouTube, Reddit and LinkedIn, turned into qualified leads and pipeline in HubSpot or Marketo. Working in B2B SaaS search since 2019, across technical SEO, AEO and GEO, conversion pages, HubSpot attribution, and automation on Claude, Ollama and Hugging Face.

## Pages
- [About](https://bhavay.com/about): background, how I work, experience and LinkedIn recommendations
- [AEO and GEO consulting](https://bhavay.com/aeo-geo-consulting): getting B2B SaaS brands cited in ChatGPT, Perplexity, Gemini, Copilot and Google AI Overviews
- [Work](https://bhavay.com/work): case studies with context, approach and results
- [Resources](https://bhavay.com/resources): free Claude skills, research and articles
- [Contact](https://bhavay.com/contact): hello@bhavay.com

## Case studies
- [A traffic engine and a revenue engine](https://bhavay.com/work#two-engines-site-rebuild): Most organic traffic was landing on pages that didn't sell. Rebuilding the site around two separate jobs took monthly organic traffic from 180K to 315K+ and made the USA the top region globally.
- [From MQL counts to deal-level attribution](https://bhavay.com/work#pipeline-attribution-hubspot): I took over the HubSpot stack so organic demand could be scored, enriched and traced to the deal. SEO-influenced pipeline grew 4x, from $2M to $8M.
- [100+ placements inside the listicles AI engines already cite](https://bhavay.com/work#ai-cited-listicle-placements): AI answers for "best X" and "X alternatives" questions lean on a small set of third-party listicles. Instead of publishing more and hoping, I got brands placed inside the lists the engines already trust. 100+ placements and counting.
- [An internal linking engine writers actually use](https://bhavay.com/work#internal-linking-engine): A pipeline that reads a site crawl, Search Console data and keyword demand, matches every paragraph to the page it should link to with semantic embeddings, drafts the sentence when one is needed, and hands writers a sheet sorted by impact.
- [Automating the repeatable SEO work](https://bhavay.com/work#ai-layer-growth-systems): Agents and models on Claude, Ollama, Hugging Face and n8n that run clustering, audits, reporting and small page changes. The team spends its time on diagnosis instead.

## Claude skills (free)
- [Internal Linking Engine](https://bhavay.com/resources/skills/bhavay-internal-linking): Crawls a site, reads Search Console demand, matches paragraphs to the pages they should link to with embeddings, and returns a prioritized sheet with the exact sentence and anchor for every link.
- [SEO and AEO Content Brief](https://bhavay.com/resources/skills/bhavay-content-brief): Builds a writer brief for a keyword or an existing URL from the live SERP, the AI answer, competitor pages and Search Console. Briefs carry instructions and evidence, never drafted copy.
- [GSC and GA4 Connector for Claude Code](https://bhavay.com/resources/skills/bhavay-gsc-ga4): Setup guide for the official Search Console and GA4 Data APIs. Google Cloud project, service account or OAuth, property access, test scripts, the limits that break reports, and scheduled pulls.

## Articles
- [How to Hire a SaaS SEO and AEO Consultant](https://bhavay.com/resources/articles/how-to-hire-saas-seo-aeo-consultant): Most SaaS teams hire for SEO by looking at a traffic chart. Here is what to ask instead, the red flags I see most, what it costs and what to expect.

## Tools I work with
- Where I optimize, search everywhere: Google Search, Bing, Google AI Overviews, ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, YouTube, Reddit, LinkedIn
- AI visibility tracking: Profound, Scrunch, Peec.ai, SE Ranking AI Search, Pepper platform
- Search data and crawling: Google Search Console, GA4, Screaming Frog, SE Ranking, Semrush, DataForSEO, Apify
- CRM, automation and enrichment: HubSpot, Marketo, Clay, Bitscale, Factors.ai
- Models and automation: Claude Code, MCP servers, Ollama, Hugging Face, n8n
- Build: Python, Next.js, Astro, Cloudflare, Supabase

## Profiles
- [LinkedIn](https://www.linkedin.com/in/bhavaygupta/)
- [github.com](https://github.com/bhavaygupta)
- [x.com](https://x.com/Bhavayy_Gupta)
- [youtube.com](https://www.youtube.com/@bhavay_gupta)
- [crunchbase.com](https://www.crunchbase.com/person/bhavay-gupta-3f82)
- [gravatar.com](https://gravatar.com/bhavayguptaseo)