For B2B SaaS
Get named when a buyer asks AI which tool to buy.
“Buyers ask ChatGPT which tool to pick before they ever talk to us. We need to be in that answer.”
A buyer asks for the best tool for their use case and gets three names, ranked, with sources. If yours is not one of them, the shortlist is being written without you. We get your product into that answer, then run the same questions every day to see whether it holds against each competitor you name.
The problem
The shortlist is written before you know the deal exists
Five ways a SaaS product loses to AI answers today. None of them show in your analytics.
You are not in the answer
A buyer asks ChatGPT for the best tool in your category. It names three products and yours is not one of them. Nobody clicks through, nothing gets logged as a lost deal, and no record survives that the question was asked.
The engines describe the product you had two years ago
When you are named, the description comes from a stale directory listing or a review older than your last three releases. The pricing is wrong, the newest features are missing, the positioning is one you retired, and all of it reads as current.
The comparison lives on your competitor’s site
“You vs the leader” and “alternatives to the leader” get asked every day. If the only page that answers is the one your competitor wrote, that is the page the engine quotes.
Your docs and pricing are unreadable to the engines
Docs that render in the browser, pricing inside a JavaScript widget, a robots.txt that blocks GPTBot: the engine cannot read any of it. Asked “does it integrate with X” or “what does it cost”, it guesses or takes a competitor’s answer.
Rankings up, AI pipeline invisible
The SEO agency reports positions and sessions. Nobody reports how often the engines name you against the four competitors you lose to, and nothing in that report shows share of voice or breaks the numbers out per engine.
Why now
Software buying moved into the answer
51%
of B2B software buyers start research with an AI chatbot more often than with Google
Up from 29% in G2’s previous buyer report. That makes the chatbot’s answer the first list your buyer sees.
2x
as many B2B buyers rate generative AI their most meaningful information source as rate any other
Conversational search counts in that number, and it is the one source you have no way to watch.
95%
of B2B buyers bought from a vendor on their day-one shortlist
Up from 85% a year earlier. Four names go on that list before anyone talks to sales.
83%
of B2B tech buyers shortlisted three products or fewer
That leaves three slots, filled from the pages the engines can read.
Comparison and category pages
The comparisons buyers ask for, written so the engines can quote them
Every “you vs the leader”, “alternatives to the leader”, and “best tool for this use case” your buyers ask is a page that should exist on your domain, with a straight answer in the first paragraph. We find those questions in search demand and in the engines’ own answers, then write the pages you are missing and ship them to your CMS.
They read like documentation rather than ads, because documentation is what the engines quote.
- Category and use-case pages built for a team size, a stack, or a job
- Head-to-head and alternatives pages, fair to the other product
- Integration pages for the stack your buyers name
Docs and pricing
Docs and pricing pages the engines can read
“Does it integrate with Salesforce” and “what does it cost per seat” are the last two questions before a shortlist. If your docs render in the browser, your pricing is a widget, or your robots.txt blocks GPTBot, the engine guesses, or answers from a competitor’s comparison of you.
The audit runs each key URL through 21 AI-readiness checks, including crawler access for 20 AI bots, and we fix whatever fails.
- Crawler access for GPTBot, ClaudeBot, PerplexityBot, and 17 more
- Server-rendered docs with real headings, structured data, and llms.txt
- Plans, limits, and a starting price stated in text the engines can quote
Tracking
Share of voice against the competitors you lose to, per engine, every day
We run your buyers’ questions across every major AI engine once a day, in the markets you sell in, and store every answer, every mention of you and of each competitor you name, and every source cited.
You see share of voice per competitor, which engines name you and which never do, and which pages get cited instead of yours, all from a login of your own.
- Mention rate, share of voice, and position score, per prompt and per engine
- Competitor movers: who gained or lost share since last period
- The directory categories, Reddit threads, and competitor pages the engines cite
Compounding
The weakest prompts become next month’s content
Tracking shows the questions you lose most: competitors named and you absent, or you named last. A content routine picks the weakest on a schedule, reads what the engines answer and cite for it, and drafts the article that should be the source.
Nothing publishes itself: our strategists review every draft against your product and your voice before it ships, and the next month of runs shows whether the engines moved.
- Targets the biggest competitor gap, the lowest visibility, or the latest mention
- Reviewed by a person before anything ships
What lands every month
Two reports on your category. Only one says whether buyers hear your name.
You already get the first of these. Nothing in it can tell you whether the shortlist an engine wrote this morning had you on it.
What the SEO report shows | What the GEO report shows |
|---|---|
| Rankings and sessions, with no row for the answer that named three vendors and skipped you. | Mention rate per engine on your buyers’ questions, and how early in the answer you appear. |
| Volume on a category keyword, while your buyer typed “best tool for a 12-person team”. | Share of voice against the competitors you named, and who gained on you since last month. |
| Competitor backlink counts, and nothing on which rival ChatGPT puts first when a buyer asks who to buy. | The pages cited instead of yours: a rival’s comparison, a directory row, an old forum thread. |
| Traffic to your pricing page, but never what the engines tell buyers your product costs. | The prompts you are absent from, which become the pages we write next. |
The engagement
Managed GEO for lean SaaS teams
For seed to Series C and mid-market teams without a content or SEO function to spare.
For B2B SaaS, seed to mid-market
Managed GEO
From $990 a month
A monthly retainer: our team gets your product into the answers and keeps it there. Larger companies with a content team in place buy GEO Consulting & Trends instead, where we bring the audit and the roadmap, we run the tracking, and your team executes.
- AI visibility audit: every buyer question across every major AI engine, share of voice against named competitors
- Comparison, alternatives, and category pages written and published for you
- Docs, pricing, and integration pages fixed so the engines can read them
- Daily tracking across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode
- A content routine that turns your weakest prompts into reviewed articles
- Monthly report and call, and your own login from day one
The platform behind the work
What our team runs your account on
You get a login. These are the three features a SaaS engagement leans on most.
- Share of voice and position against the competitors you name, per engine, and who moved since last period.
Competitor Research
- The questions buyers ask in your category, run daily across every engine, with every answer kept.
Prompt Tracking
- A standing instruction that drafts an article about your weakest prompt, for a person to approve.
Content Routines
Questions SaaS teams ask us
Before you approve the roadmap
What marketing leads and founders ask us first, answered straight.
We already have an SEO agency. Is this the same thing?
No, and it does not replace them. SEO wins a position on a results page. This wins a mention inside an answer that has no results page. The overlap is real, since readable pages, clear structure, and crawler access help both, but what we track is different: how often ChatGPT, Gemini, and Perplexity name you against the competitors you list, how early, and which sources they cite instead of you. The two can point in opposite directions in the same month, which is the reason to read both.
Will you write comparisons that name our competitors honestly?
Yes, and they only work if they are honest. The engines quote comparison pages that read like documentation: what each product does, who it fits, what it costs, where each falls short. A page that declares you the winner on every row gets ignored, or quoted as marketing. We write the comparison a fair analyst would, with your product described accurately where it belongs, and your product marketer signs off on every claim before it ships.
Our docs live on a subdomain and our pricing says “contact sales”. Does that matter?
Docs on a subdomain are fine: we register it as a property you own, so the engines’ citations of it count for you, and we audit it like any other URL. Hidden pricing is harder. An engine asked “what does it cost” answers anyway, from a directory listing, a two-year-old review, or a competitor’s comparison of you, and you do not get to correct it. We will push you to publish at least the shape of it: plans, what drives the price, a starting point.
How long before we show up in the answers?
The technical fixes land fast and the comparison pages take much longer. Once GPTBot is allowed in and your docs and pricing render as text, the next recrawl picks it up, and within weeks “what does it cost” and “does it integrate with X” get answered off your page instead of guessed. A comparison page takes a quarter or more, because an engine has to find it, see it hold up, and see other people reference it before it will quote it. Nobody can promise you a date on that second part. What you do get from week one is the daily runs, read against what shipped on the monthly call.
What do we have to do on our side?
One onboarding call, CMS and analytics access, and a yes on the roadmap. After that, one call a month. Our team writes and ships the pages and the fixes. Nothing goes to your engineers as a ticket unless a change genuinely needs a deploy, and then it arrives specified. Your product marketer reviews comparison pages before they go live; we build that into the plan.
What does it cost for a SaaS company?
Managed GEO starts at $990 a month and is scoped after the free audit: how many buyer questions we track, how many competitors, how many markets, and how much content the plan needs. No seats, credits, or per-prompt charges. Larger companies with a content team in place usually buy GEO Consulting & Trends instead, quoted per engagement.
See what AI is already saying about your brand.
A free audit shows you exactly where you stand across ChatGPT, Gemini, Perplexity, Copilot, Claude, Grok, and AI Overviews, and what it would take to close the gap.