LaunchRanked

Playbook · B2B software

SEO & AI search playbook for B2B SaaS

A B2B software purchase is rarely one search. A buyer names the problem, finds the category, builds a shortlist, then checks pricing, integrations and security before anyone books a demo. Each step is a different query and needs a different page.

Most early SaaS sites have a homepage, a pricing page and a blog. That covers the last step only. The work here is to build pages for the middle of that journey, from data you already have: your integrations, your competitors and the jobs your customers hire you for.

Updated By the LaunchRanked team5 sources checked

Searches to plan around

Query patterns and the intent behind them. We don’t quote search volumes: check your own Search Console for the ones you already appear for.

  • “[problem] software”, “tool to [job]”

    Category discovery

    The buyer knows the pain, not the vendors. Use-case pages that describe the job in their words win here, not feature pages.

  • “best [category] for [team size or industry]”

    Shortlisting

    Results are usually listicles and review sites. You want to be on those lists, and to publish an honest one of your own.

  • “[competitor] alternatives”, “[A] vs [B]”

    Switching

    Often typed by someone unhappy with an incumbent. High intent, and the page has to be fair or it won't convert.

  • “[your product] [other tool] integration”, “connect [A] to [B]”

    Evaluation

    Buyers check that the tool fits their stack before trialling it. One page per real integration answers it.

  • “[your product] pricing”, “… SSO”, “… SOC 2”

    Vendor due diligence

    Brand queries from procurement. If the answer isn't on your site, assistants and search results will quote a third party's guess.

Page families that work

  • Integration pages

    /integrations/hubspot

    One page per integration you actually support: what syncs, in which direction, setup steps and limits. Each page has facts no other page has, which is what keeps it indexable.

  • Alternatives and X vs Y

    /compare/you-vs-incumbent

    Tables with real limits, prices and integration counts, plus a plain section on who should pick the competitor. Honest pages convert switchers better than attack pages.

  • Use-case and role pages

    /for/finance-teams

    Only where the workflow really differs by role: different reports, different integrations, different objections. If the only change is the noun, don't publish it.

  • Templates and calculators

    /templates/quarterly-okr-sheet

    Things a buyer can use before signing up. They earn links and bookmarks, and they rank for “[job] template” queries your product pages can't.

Risky page types

  • Industry × feature × city grids

    Pages like “CRM for dentists in Ohio” with the same body text are the pattern Google's doorway abuse policy describes: many pages built to rank for similar queries.

  • Integration pages for integrations you don't own

    Hundreds of “[App] integration” pages that all say “connect via Zapier” add no facts. Google's scaled content abuse policy targets exactly this.

Technical pitfalls

  1. App routes indexed alongside marketing pages

    Login screens, empty dashboards and share links on the same host get crawled and dilute the site. Serve the app on its own subdomain or path, keep it out of the sitemap, and noindex shells that render nothing without a session.

  2. Marketing pages rendered only in the browser

    Site builders and SPA frameworks sometimes ship an empty HTML shell. Google can render JavaScript, but its own docs still recommend server-side rendering or pre-rendering because it's faster and not every crawler runs JavaScript.

  3. A help center on a third-party subdomain

    Help platforms often ship default titles like “Article – Help Center” and duplicate articles per language. Fix titles, set canonicals, and link from help articles back to the product pages they describe.

  4. Pricing that exists only in sales decks

    Even “from $X per seat” or a description of the pricing model gives search engines and assistants something true to quote. Without it, they quote a review site or a competitor's comparison.

How AI assistants answer questions in this category

B2B questions put to an assistant tend to be shortlist questions: “what's a good [category] tool for a 20-person team that works with Salesforce?”. Assistants that search answer them by pulling listicles, review profiles, comparison pages and vendor pages, then summarising a shortlist. Google describes the same mechanism for AI Overviews and AI Mode as query fan-out: one question is split into related searches (pricing, integrations, alternatives) and supporting pages are picked from those. Google also says there is no special schema or AI file needed, only that pages are indexed and eligible for a snippet.

What tends to earn a citation

  • A crawlable page that says plainly who the product is for, what it costs and what it integrates with, in text rather than images.
  • Comparison tables with specific, dated facts (plan limits, integrations, hosting regions) that an assistant can lift without guessing.
  • Listings and profiles on the third-party sites that get retrieved for shortlist questions, with the same one-line description you use on your own site.
  • Help-center answers to the exact “can it do X?” questions buyers ask, one question per heading.

Check whether the AI crawlers you want can reach your site with our AI crawler checker.

  • Partner marketplaces

    Most platforms you integrate with have an app or integration directory. A listing there is a relevant link and a referral channel from people already using that platform.

  • SaaS directories and review sites

    Pick maintained, reviewed ones from the SaaS directories and software review sites lists. On review sites the listing matters less than honest reviews from real customers over time.

  • Aggregated data from your own product

    If your product sees patterns across accounts (anonymised and with permission), a yearly report on them is the kind of original source other writers link to. Only publish numbers you can back up.

  • A free tool next to your product

    A small calculator or checker for the job your product does earns links from people who will never read a feature page.

Directory lists that fit B2B SaaS

Each directory is checked on its own site: price, link type and review process. We never sell links.

A 90-day plan

  1. Days 1–30

    Foundations and inventory

    • Verify the domain in Search Console and note your top 20 queries, brand and non-brand.
    • Noindex app shells and remove them from the sitemap.
    • Publish or fix the pricing, security and integrations index pages.
    • List every real integration and your five most-compared competitors.
  2. Days 31–60

    First page families

    • Ship integration pages for the ten integrations customers use most, each with setup steps and limits.
    • Publish three to five alternatives or X vs Y pages with dated fact tables.
    • Submit to a handful of maintained SaaS directories and partner marketplaces.
  3. Days 61–90

    Use cases and the Search Console loop

    • Write use-case pages for the two or three roles whose workflow really differs.
    • Rewrite titles and descriptions on pages sitting at positions 5–20 with impressions but few clicks.
    • Link help-center articles to the matching product and integration pages.

What to watch in Search Console

The Performance report gives clicks, impressions, CTR and average position by query, page, country, device and date. Traffic from Google's AI features is counted there too, under the Web search type (Google).

Non-branded impressions
Use the branded queries filter where Search Console offers it. Brand clicks rise with sales activity; non-brand impressions tell you whether new pages are being found.
Integration and comparison pages in the Page indexing report
Filter by sitemap or URL pattern. A family with many “Crawled – currently not indexed” pages is telling you the pages look too alike.
Pages at positions 5–20 with impressions
These are the cheapest wins: a better title often moves clicks more than a new article.
CTR on the pricing page for brand queries
If it's low, the search result is probably showing a stale or confusing snippet. Rewrite the title and description around what buyers want to know.

Frequently asked questions

Should we publish pricing if we sell mostly to enterprise?

Publish at least the model and a starting point, such as “per seat, from $X” or “annual contracts starting at”. Buyers and assistants look for it, and if you don't say anything they quote whoever does.

How many integration pages is too many?

One per integration you build and support, no more. If a page would only say “connect through Zapier”, list that app on a single Zapier page instead of giving it its own URL.

Do review sites matter for AI answers?

They matter because they're often among the pages assistants retrieve for shortlist questions. Keep your profile accurate, and ask real customers for honest reviews. Never write or buy them.

Should we start with blog posts or product pages?

Product-led page families first: integrations, comparisons, use cases. They match buying queries and use data only you have. Blog posts work better once those pages exist to link to.

Sources

Checked on September 23, 2026. Search patterns and page advice are our own judgement from running this playbook; we don’t quote search volumes or third-party statistics.

  1. Google Search Central: Spam policies for Google web search
  2. Google Search Central: JavaScript SEO basics
  3. Google Search Central: AI features and your website
  4. Google Search Central blog: Introducing the branded queries filter in Search Console
  5. Search Console Help: Performance report
  • Bootstrapped SaaS

    Pick pages by how close they are to revenue, and let a patient, compounding channel do its work.

  • Sales tools

    Templates reps search for mid-task, CRM integration pages, and a hard line on scraped people pages.

  • Martech

    Your buyers are marketers. Free tools and honest benchmarks beat another “ultimate guide”.

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