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AI search, websites and support AI for B2B SaaS

When a buyer asks ChatGPT or Perplexity for a shortlist in your category, the answer names a handful of products. We work to get yours named accurately, then build the site and the support assistant those buyers land on.

Request a 30-minute scoping callSee the use cases

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In short

For B2B SaaS companies, AI work pays off first in being found and in support. Generative engine optimization (GEO) and SEO aim to put your product on the shortlists buyers get from ChatGPT, Perplexity and Google AI Overviews. A support assistant grounded in your docs answers tickets with citations. The Method Crew also builds Next.js marketing sites and content pipelines your team runs.

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Where AI and automation pay off first

Each use case names the systems it connects to and the services that build it. Every service page lists its timeline and price band.

  • Comparison and alternatives pages

    Fair, sourced pages comparing your product with named competitors, built from your positioning docs, public pricing pages and changelogs, and reviewed every quarter so AI answers have current facts to quote.

    Services

  • AI visibility tracking

    A fixed set of buyer prompts runs every month in ChatGPT, Perplexity, Gemini and Google AI Overviews, recording which companies are named and which pages are cited, measured against 3 to 5 competitors you choose.

    Services

  • Docs-grounded support assistant

    Answers tickets in Intercom or Zendesk from your help center and product docs, links the article it used, and hands off to a person when no source covers the question or the customer asks for one.

    Services

  • Content production pipeline

    Briefs built from Search Console data and sales-call themes, drafts written against your style guide, review by a product expert and publishing to your CMS, with a named person approving each stage.

    Service

  • Marketing site rebuild on Next.js

    Slow or hard-to-edit sites rebuilt on Next.js with a headless CMS such as Sanity or Contentful, every old URL redirected, and structured data that matches what each page shows.

    Service

  • Inbound lead routing and enrichment

    Demo and trial sign-ups are enriched, scored against your ideal customer profile and routed in HubSpot or Salesforce, with a Slack alert to the right rep and a summary of what the prospect already viewed.

    Service

What shapes the build

The rules, risks and sign-offs we settle with you in the first 2 weeks, before any real data moves.

  • No promised citation counts

    AI answers change by user, location, model version and date. We record a baseline in week 1 and report measured changes against it. We never promise a number of citations, a ranking position or a place on a specific shortlist.

  • Claims about competitors must be sourced

    Comparison pages only state facts you can point to: public pricing pages, documentation and release notes, each linked. Your legal or product marketing lead reviews every competitor claim before it goes live.

  • Customer data in support tools

    Tickets can contain customer data. The assistant reads it inside your helpdesk, provider terms are checked against your data processing agreements and security commitments, and your security team gets the architecture notes to review before launch.

  • Your customers will ask about AI

    Enterprise buyers may ask how your AI features handle their data. Every build ships with a data flow diagram, a list of model providers and their retention settings, so your team can answer security questionnaires from documentation instead of memory.

A long, empty aisle between rows of glass-fronted racks lit from the ceiling, with railings along both sides.
Where the product runs. Our work starts earlier, in the AI answers where a buyer first meets its name.

How do SaaS buyers find vendors in AI answers?

A buyer asks ChatGPT or Perplexity for the best tools in your category, or how 2 products compare. The answer names a few vendors and cites the pages it drew from. Generative engine optimization is the work of making sure your product is named, described accurately and cited from your own pages.

Most of it is good search practice done thoroughly. Google states there are no additional requirements to appear in AI Overviews or AI Mode beyond being indexed and eligible for a snippet. OpenAI documents that OAI-SearchBot controls whether a site can appear in ChatGPT search, so robots.txt has to let it in.

Give those engines specific pages to cite: pricing pages with real numbers, comparison pages that admit trade-offs, integration pages, and docs that answer setup questions in plain steps. The GEO research paper found that adding statistics, quotations and cited sources raised a page's visibility in generated answers, and vague homepage copy offers none of those.

Our answer engine optimization sprint costs $6,000 to $15,000. It records a baseline across a fixed prompt set, fixes the technical blockers, rewrites the pages buyers ask about and sets up monthly tracking. For the difference between the terms, read GEO vs AEO vs SEO. Search work compounds slowly, so if you need pipeline this quarter, paid channels will move faster.

What should a SaaS team build first?

It depends on where the pressure is, and the mapping stage settles it with your numbers.

If the problem isStart withPrice band
Competitors named in AI answers, you are notAEO sprint$6,000 to $15,000
Support queue growing faster than the teamDocs-grounded assistant$15,000 to $75,000
Site is slow, hard to edit or off-brandNext.js rebuild$18,000 to $80,000
Content team cannot keep up with requestsContent ops pipeline$8,000 to $25,000

The support assistant has one hard prerequisite: current docs. If your help center is out of date, the assistant will quote out-of-date answers with total confidence. Fix the top 30 articles first. The support knowledge assistant blueprint shows how it retrieves, cites and hands off, and our guide to building a RAG assistant covers the design choices.

A rebuild is the wrong first move if the current site is fast and editable but says the wrong things. That is a copy and structure problem, and a sprint fixes it for a fraction of the price.

Infrastructure and model usage are passed through at cost on every build, and you own the code, the prompts and the accounts.

What does a sample 90-day plan look like?

This plan suits a B2B SaaS company of 30 to 300 people running an AEO sprint alongside a support assistant pilot. The two share one asset: accurate, well-structured product content.

WeeksStageWhat happens
1 to 2MapBaseline across 50 buyer prompts in 4 AI assistants, a technical crawl, ticket analysis, and the confirmed scope and acceptance test for the build
3 to 5ProveRobots and schema fixes ship, the first comparison and pricing pages are rewritten, and the assistant drafts replies on 200 past tickets for your team to grade
6 to 10BuildRemaining priority pages, the AI search content engine for ongoing briefs, and the assistant wired into Intercom or Zendesk with handoff rules and logging
11 to 13RunAssistant live on one queue, the first monthly visibility report against the week 1 baseline, and training for content and support leads

If graded replies miss the bar in week 5, the assistant stops at pilot and you keep the findings. The search work continues on its own.

After week 13, the natural next step is an SEO and GEO retainer at $3,000 to $8,000 a month, with a report each month listing where you rank and which AI answers cite you.

Services we would start with

Timelines and starting prices for the services that do most of this work.

See all 20 services

Blueprints that fit

Reference designs with the flow, the stack, the guardrails, the build time and the price.

See all 8 blueprints

Questions about AI in SaaS and technology

The full FAQ covers pricing, ownership, data and timelines.

Can you guarantee ChatGPT will recommend our product?

No, and nobody honestly can. AI answers vary by user, model version and date. What we can do is make your pages easy to crawl, accurate and worth citing, then measure the change against a baseline we record in week 1. You see the prompts, the answers and the cited pages each month.

What is the difference between SEO, GEO and AEO?

SEO is ranking in search results. GEO is getting your company cited in answers generated by AI assistants such as ChatGPT and Perplexity. AEO, answer engine optimization, is often used for the same work with a focus on direct answers. In practice they share most of the same tasks, and we run them as one program.

Will a support assistant replace our support team?

It answers the repetitive questions your docs already cover, which frees your team for the tickets that need a person. It hands off whenever no source covers the question or a customer asks for a human. The aim is to keep headcount flat as ticket volume grows, with your team's time going to the accounts that need judgment.

Do you build on Next.js and Vercel?

Yes. Marketing sites are built on Next.js, usually hosted on Vercel, with a headless CMS such as Sanity or Contentful so your team can edit without a developer. Builds cost $18,000 to $80,000, with custom 3D or WebGL work at the upper end. You own the repository and the hosting account.

How do you track visibility in AI answers?

We run a fixed set of buyer prompts each month across ChatGPT, Perplexity, Gemini and Google AI Overviews and record which companies are named and which pages are cited. Google Search Console covers traffic from AI features in Google Search. The report compares each month with the baseline and names the pages that changed.

When is AI the wrong choice for a SaaS company?

When the underlying content is wrong. A support assistant over outdated docs gives confident wrong answers, and GEO work cannot fix a product page that hides pricing. Lead routing by territory or plan size is rules, not AI. We will also tell you when paid search or outbound will move pipeline faster this quarter.

Get a fixed price for your first build

Tell us on a 30-minute call where the hours go. We'll say whether it needs AI, plain automation or neither.

Request a 30-minute scoping call

Within 5 working days of the call you get a written scope and a fixed price.