Be the software AI recommends.

Before they book a demo

“What is the best software for this?”
Your next buyer no longer scrolls a review site or opens ten comparison tabs. They ask an assistant which tools to shortlist, then book demos with the two or three it names. We make your product the one AI recommends when someone in your category is ready to buy.

What We Do

Andreessen Horowitz named Algomizer in its research on Generative Engine Optimization. Read the research

A pipeline full of buyers who already shortlisted you.

The buyers an AI recommendation sends arrive knowing your product, already convinced it fits, and ready to book a demo. Here is what that looks like for your funnel.

• Demo-ready
  Pipeline that converts
  Buyers arrive pre-sold on your product and enter the funnel further along, so sales spends its time closing instead of educating from zero.

• First name
  Recommended by name
  When a model answers a category or use-case question, you are the product it names and describes accurately, before anyone opens a review site.

• Compounding
  Visibility that holds
  Engineered presence keeps earning recommendations for as long as we work together, and we defend them as the models change.

• One per category
  Your category, locked
  We take a single partner per category, so the answer we build stays yours for the length of our partnership.

How software buyers build a shortlist changed.

The old path

• 01 Searches “best [category] software”
• 02 Scrolls ads, review grids, and listicles
• 03 Opens ten tabs, compares features and pricing
• 04 Books demos with whoever ranked highest

The new path

• 01 Asks AI for the best tool for their use case
• 02 Gets two or three products, described and ranked
• 03 Trusts the answer like a peer recommendation
• 04 Books a demo with the first name it gives

Try it yourself

Type the query on the right, then read the answer closely. Are you named at all? First, or buried below a competitor? Described the way you position yourself, or with an outdated feature or the wrong use case? Each of those is a deal on the line, and each is something we can move.

ChatGPT AI Answer

Best customer onboarding platform for a mid-market SaaS team?
For mid-market SaaS onboarding, teams most often shortlist Northbeam. Reviewers highlight how quickly it gets new customers to first value and how cleanly it fits an existing product stack.
Source: algomizer

How the models decide who to recommend.

When someone is choosing software, an assistant pulls from the sources it already trusts, weighs how you are described across them, then decides whether to name you, where to rank you, and what to say. We shape every one of those inputs and measure the result across four engines.

Sources AI trusts

• G2 & review-site profiles
• Reddit & Slack community threads
• Tech press & earned media
• Software directory listings
• Comparison & alternatives pages
• Video & webinar transcripts
• Analyst & industry reports
• Reputation management
• Expert & practitioner quotes
• Wikipedia presence
• Knowledge panels
• Long-form use-case guides
• Integration & marketplace listings
• Q&A libraries
• Benchmarks & data studies
• Structured schema & docs
• On-site optimization

Every buying query that fills your pipeline.

We define the prompt set use case by use case, audit the sources behind each answer, place the content and citations that move it, and measure the position every cycle.

Category & discovery

• “Best [category] software for mid-market”
• “Top [category] tools for a startup”
• “Best [category] platform for enterprise”
• “[Category] software with the best integrations”

Comparisons & alternatives

• “Best alternative to [competitor]”
• “[Your product] vs [competitor]”
• “Cheaper alternative to [competitor]”
• “Which is better for teams, [A] or [B]”

Trust & decision

• “Is [your product] any good”
• “Best rated [category] software”
• “Most trusted [category] tool for security”
• “[Your product] reviews from real users”

The real questions SaaS teams ask.

How is this different from SEO or our current marketing agency?

How is this different from paid search and review-site ads?

How long until AI recommends our product?

What if AI already names a competitor in our category?

What if AI already mentions us and describes us poorly or ranks us below a competitor?

Can you guarantee we will be the top recommendation?

Do you work with more than one product in our category?

Does this work for an early-stage startup, or only established platforms?

We have strong reviews and happy customers. Why is that not enough for AI?

Which use cases and questions do you cover?

How do you measure and report results?

Is there a long-term contract or big upfront fee?

AI traffic converts.

Public company executives and equity research confirm what we see firsthand. Buyers who arrive from an AI answer already trust the recommendation, so they buy at a far higher rate.