Rank
From crawl to page one
- Technical SEO audits
- Pillar + cluster content architecture
- GSC performance analysis
- Competitor gap mapping
I'm Navneet Jha. I lead search visibility at Contensify, helping B2B brands show up in Google, in AI Overviews, and in LLM responses — for 30+ SaaS brands and counting.
Most brands built years of search visibility and never checked how much of it carries into AI-generated answers. Google ranks pages. LLMs pick sources. That gap is where I work.
SaaS brands supported through Contensify, across the US, UK, UAE and Singapore
average organic traffic lift across managed content programs
“Most of the industry is chasing hacks. I'd rather get the foundations right first, then build on top of them, so your brand shows up in every response.”
Working with B2B SaaS across HR tech, fintech, data centres and the Shopify ecosystem.
The connected journey. I build the whole path from rankings to AI citations, or the single stretch that is costing you the most, then keep it compounding month after month.
From crawl to page one
From query to AI answer
From plan to pipeline
One audit. Every stage. Every surface where buyers ask.
Fixes are ranked by impact, built for both Google's crawlers and LLM retrieval, then tracked every month, so the next move is always obvious.
The same four-step system runs under every engagement, whether it's a one-time audit or an ongoing content program.
Scan Google rankings, AI Overview presence, and LLM citation footprint to find exactly where you're invisible.
Rank every fix by impact, not effort — so the first thing you do is the thing that moves the needle most.
Entity-first content, technical fixes, and structured data — built for both Google's crawlers and LLM retrieval.
Monthly reporting on rankings, AI citations, and traffic — feeding the next cycle of priorities.
From my primary research into ChatGPT's fan-out queries: what it reads, what it cites, and what decides the difference.
What happens to the pages ChatGPT reads
Across 57 conversations, ChatGPT retrieved 3,554 pages. Only 110 made it into an answer.
Six fan-out studies, cross-checked
The citation gap
Brands ChatGPT names in its own first search query are cited far more often than ones it only finds later.
Read the full analysisSame question, typed into Google and into ChatGPT. One shows a list of pages. The other writes a single answer and credits a few sources.
Most brands already invest in SEO. Almost none have audited GEO. Ranking #1 and still not being named is the most common gap I find.
Check where you standData before frameworks, specificity over generality, and a healthy scepticism of advice that hasn't been tested on real accounts.
Hacks leave you one algorithm update from losing your pipeline. I fix the base, then build on top of it.
Every recommendation is grounded in your numbers and tested on real accounts with real stakes.
Content built to rank in Google and to be retrieved and cited by ChatGPT, Perplexity and Gemini.
Content systems that build over time instead of spiking and fading with the next update.
Practitioner-level analysis on what's shifting in search, written from real client data, not content calendars.
A focused audit of your AI Overview presence, LLM citation footprint, and content-to-query alignment. You get a prioritised fix list, not a 90-slide deck.
Your Google AI Overview coverage, your citation footprint across ChatGPT, Perplexity and Gemini, and where your existing content misses the queries buyers actually ask. Delivered as a prioritised fix list.
Five business days from kickoff.
No. The audit stands on its own. If you want help building the fixes, ongoing content programs are available afterwards.
Google AI Overviews, ChatGPT, Perplexity and Gemini, alongside classic Google rankings.