Case Study 01
CMMS SaaS
Read the complete strategy that took a SaaS from 35 to 210 organic demos per month.
Read Case StudyAI SEO Consultant
AI SEO consultant who gets your brandrecommended by LLMs
I am an AI SEO consultant who helps B2B brands get recommended by LLMs like ChatGPT, Claude, and Perplexity, and Google AI Overviews when their buyers search for product recommendations.
$157K
for a B2B field service client
Added MRR01/03
12+
BOFU keywords for a knowledge management platform
AI Overviews02/03
+2,388%
vs previous year for an employee engagement SaaS
Demo bookings03/03
Some ambitious businesses I have helped grow
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SEO is the foundation.
AI SEO is the layer on top.
Most AI SEO work today is tactical. llms.txt files. Question-based headings. Reddit mentions. These are worth doing. They’re not a strategy. Without a foundation underneath, none of it compounds.
LLMs pull from the web. Content that ranks on Google becomes source material ChatGPT, Perplexity, and AI Overviews cite when your buyers ask for recommendations. A BOFU article that ranks well often earns visibility on both surfaces without extra lift.
Ranking is the entry ticket. What earns the recommendation is content that clearly communicates who you’re for, what problem you solve, and why you’re different. That’s what gives LLMs the signal they need to match you with the right buyer.
Content this specific doesn’t come from writers Googling for research. It comes from expert-led writing built on SME interviews, sales call insights, and real product detail. The kind of substance AI-generated content can’t fake.
Another layer matters too. Targeted outreach to the exact pages LLMs already cite for the prompts you want to win. Getting mentioned there is often what tips a recommendation in your favor.
SEO is the
foundation.
AI SEO is the
layer on top.
Most AI SEO work today is tactical. llms.txt files. Question-based headings. Reddit mentions. These are worth doing. They’re not a strategy. Without a foundation underneath, none of it compounds.
LLMs pull from the web. Content that ranks on Google becomes source material ChatGPT, Perplexity, and AI Overviews cite when your buyers ask for recommendations. A BOFU article that ranks well often earns visibility on both surfaces without extra lift.
Ranking is the entry ticket. What earns the recommendation is content that clearly communicates who you’re for, what problem you solve, and why you’re different. That’s what gives LLMs the signal they need to match you with the right buyer.
Content this specific doesn’t come from writers Googling for research. It comes from expert-led writing built on SME interviews, sales call insights, and real product detail. The kind of substance AI-generated content can’t fake.
Another layer matters too. Targeted outreach to the exact pages LLMs already cite for the prompts you want to win. Getting mentioned there is often what tips a recommendation in your favor.
What I Do
Services
From audit to execution. Every AI SEO consultancy service is designed to make your brand rank on Google and get cited by AI.
AI Visibility Audit
See exactly where your brand shows up — or doesn’t — across Google AI Overviews, ChatGPT, Perplexity, and Gemini.
Best [category] tool for [use case]
AI SEO Strategy
Conversion-focused keyword strategy mapped to your ICP pain points and product relevance. Bottom of funnel first. Revenue before traffic.
Content Creation
Expert-led content built on SME interviews, customer insights, and a clear POV. Written to rank on Google and show up in LLMs.
Backlinks & Citation Outreach
Traditional link building plus targeted outreach to the specific pages LLMs cite when recommending brands in your category.
Content Refreshes
Monitor published content for decay signals. Refresh what’s slipping. LLMs prioritize recently updated content. So does Google.
Entity Clarity
Coherent positioning across your website, listings, reviews, and third-party mentions. LLMs cross-check sources before they recommend a brand.
Measurement & Reporting
Track rankings, AI visibility across key prompts, and pipeline impact. Data drives every decision.
My Approach
The VISIBLETM Framework.
Seven principles that guide every engagement. From buyer research to entity clarity, every principle is designed to make your brand rank on Google and get recommended by LLMs.
V
Vet the Buyer
Deep-dive into your product, buyers, and market before touching a keyword tool.
01 / 07
I
Identify High-Intent Keywords
Bottom-of-funnel, conversion-focused keywords mapped to ICP pain points.
02 / 07
S
Substance Over Fluff
Content built on real expertise, SME interviews, and a POV competitors can’t replicate.
03 / 07
I
Influence the Sources
Backlinks plus targeted outreach to pages LLMs actually cite in your category.
04 / 07
B
Benchmark & Track
Monitor rankings, AI visibility, and pipeline impact. Data drives every decision.
05 / 07
L
Live & Fresh
Refresh content before it decays. LLMs prioritize recently updated pages.
06 / 07
E
Entity Clarity
Consistent brand positioning everywhere. If LLMs find conflicting signals, they won’t recommend you.
07 / 07
Seven principles. One system.
The framework covers foundational SEO and layers AI visibility on top, so your brand ranks on Google and gets recommended by LLMs.
Results
Case Studies
Case Study 02
Livepro
How Livepro built an organic search and AI visibility engine that compounds.
Read Case StudyDon’t take my word for it
“Most SEO folks love showing off past wins. Flashy decks. Big claims. But when it comes down to execution, most fall flat. Usama wasn't like that. No fluff. No overpromises. Just straight talk about what's possible, and then overdelivering on what was committed. His work ranks in the top three for multiple high-intent keywords, shows up in Google's AI Overviews, and even gets cited in LLMs like ChatGPT and Claude.”
FAQ
Common questions
AI SEO is the work of making your brand show up in LLM answers. Traditional SEO optimizes for Google’s ranked blue links. AI SEO optimizes for citations, recommendations, and mentions inside ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. The two overlap heavily. Content that ranks well on Google often gets cited by LLMs, but AI SEO adds layers traditional SEO ignores, like entity clarity, third-party mentions, and LLM-specific query optimization.
Yes, within limits. LLMs pull from the sources they train on and the pages they cite in real time. You can influence that by earning mentions on the specific domains LLMs cite for your category, building topical authority on your own site, and keeping your brand positioning coherent across the web. You cannot bribe a model. You can engineer the signals it reads.
Yes. Google still drives the majority of B2B buyer research. AI SEO and traditional SEO share the same foundation. Good content, strong positioning, real expertise. Investing in AI SEO without traditional SEO leaves leads on the table. The reverse is also true.
I track which brands get recommended, cited, and linked when real buyer prompts are run across all five major AI platforms. Reports cover how often you appear, how often competitors appear, which domains LLMs cite as sources for your category, and which prompts trigger recommendations. No guessing. Real prompt data on a consistent cadence.