AI SEO Consultant for SaaS

Buyers now ask ChatGPT 'what is the best tool for X' and shortlist from the answer. I make sure your product is in it.

Tom Riley

AI SEO Consultant

Software buying has changed shape. Instead of reading ten listicles, buyers describe their stack, team size and budget to ChatGPT and get a tailored shortlist. The products in that answer get the trial. Everyone else fights over what is left.

SaaS is also one of the most winnable AI search markets, because the evidence layer LLMs use, G2 and Capterra reviews, comparison content, integration docs, changelogs, is content you control or can influence directly. Most SaaS teams just have not structured it for machines yet.

If you want proof before a pitch, start with the story of why I went all in on AI search.

Why SaaS brands need an AI SEO consultant

Category listicles from G2, Capterra and affiliate sites own the traditional SERPs, but AI answers recommend actual products with reasoning drawn from those sources.

Buyers ask granular questions: 'best CRM for a 10-person agency that integrates with Slack'. If your entity does not encode who you are for, you are never the answer.

Your competitors' comparison pages are training the models on why to pick them over you.

AI referral traffic converts dramatically better than blog traffic, because the model has already matched the buyer's requirements to your product.

The entities that matter in SaaS AI search

AI engines recommend products they can verify and match to a use case. I build and reinforce the signals they check:

Category and use-case entities: who the product is for, at what team size, at what price point
G2, Capterra and Product Hunt reviews and ratings LLMs cite as evidence
Comparison and alternative pages that frame the choice on your terms
Integration entities: the tools you connect to are part of how models place you
Founder and company profiles: Crunchbase, LinkedIn, funding coverage in TechCrunch and Sifted
Structured pricing and feature pages LLMs can extract and quote

Want to see exactly where you stand?

Book a call and I will show you how ChatGPT and Google AI see your brand today, and what I would fix first. Free, no hard sell.

👉 Book a call with Tom

How I win SaaS AI search

Step 01

Use-case entity mapping

I define the exact buyer situations you win, then encode them everywhere models look, so when a buyer describes that situation, you are the match.

Step 02

Comparison content that converts models

Honest, structured comparison and alternatives content is what LLMs lean on when reasoning between products. I build it before your competitors define you in it.

Step 03

Review velocity and third-party proof

I build the G2, Capterra and press footprint that models treat as independent verification, the same signals that also compound your traditional rankings.

What actually decides AI recommendations in saas

Off-site signals

AI engines decide who to recommend based on what the rest of the web says about you: reviews, mentions, citations, directories and trade press. Your own website is only a fraction of the picture. I build the off-site footprint that makes models trust your brand enough to name it.

Defining your brand narrative

Models recommend brands they can describe in one clean sentence. If ChatGPT cannot say exactly what you do, who you serve and why you are trusted, it names a competitor it can describe. I define that narrative and push it everywhere the models read.

Owning the commercial terms

Not awareness content. The specific terms your buyers use when they have budget in hand. I map the commercial queries in your market and make your brand the answer to each one, in Google and in AI answers.

Recommendations at the point of purchase

The conversational journey ends with one question: "so who should I actually go with?" That is the moment that matters. Everything I build is aimed at being the name the AI gives when the buyer is ready to buy.

The AI SEO consultant behind this playbook

Everything on this page comes from the AI SEO playbook Tom Riley AI SEO uses on his own brand: the same AI SEO and entity authority work that gets him named by ChatGPT when people ask for an SEO consultant. The full picture, with case studies and proof, is on the homepage.

FAQs

Do software buyers really use ChatGPT to choose tools?

Yes, heavily. Developers and founders were the earliest AI adopters, and 'best tool for X' is one of the most common commercial prompt patterns. The shortlist in that answer decides who gets the trial.

How is AI search different from normal SaaS SEO?

Traditional SEO wins pages. AI search wins the recommendation itself. The signals overlap, content, reviews, authority, but AI search adds entity precision: models need to know exactly who your product is for to recommend it.

We are pre-Series A. Is it too early?

It is the best time. AI answers reward the best-verified fit, not the biggest brand, and the earlier your entity is defined, the more the recommendations compound as the category grows.

How do you measure success?

Recommendation share across ChatGPT, Claude and Perplexity for your target use cases, AI referral signups, and trial-to-paid quality of that traffic, which typically converts like a warm referral.

Start with a call to discuss your growth and visibility

Book a call and we will go through your domain together: technical SEO, content gaps, AI search visibility and exactly what I would do about each one. No obligation.

👉 Book a call with Tom

The same playbook, other niches

The mechanics of AI search do not change between industries, but the entities and trust signals do. That is why, alongside this one, I also work as an AI SEO consultant for insurance, an AI SEO consultant for tech startups and an AI SEO consultant for startups. Every playbook starts with the same first call.

And if classic Google rankings are the bigger prize for you, there is a dedicated page for the SEO Consultant for SaaS side of the same market.