In my agency work, I’ve noticed that the bigger the deal, the longer a page takes to get approved. A company with deals around $50K a year can usually sign off on a comparison page in one round. Above about $100K a year, and especially in governance, legal, and cybersecurity, the same page goes through more loops, and anything that names a competitor can stall for weeks.
Enterprise SaaS SEO uses familiar tactics, but the work changes in two ways. A whole buying committee searches before a deal moves, and every page has to get past the people who approve it. Both shape every stage of the strategy, from the first audit to a launch in a new region.
I’m a content strategist at Breaking B2B and a B2B SaaS writer who has written for HubSpot, Zapier, Softr, and Taboola. This guide walks through the full lifecycle in eight stages, with examples from CrowdStrike, Atlassian, Datadog, and IBM, so you can plan the work, win the resources for it, and show leadership pipeline when deals take most of a year to close.
What is enterprise SaaS SEO?
Enterprise SaaS SEO is search optimization for software companies that sell to large organizations or run large, multi-product sites. It covers the pages a buying committee checks, such as comparisons, trust centers, integrations, and pricing, plus the technical work a big site needs, and the internal process that gets those pages approved and published.
The term gets used for two situations. One is a large SaaS company with many products, thousands of URLs, and several teams publishing to one domain. The other is a SaaS company of any size that sells to enterprise buyers, with long sales cycles and security reviews. Most teams that search for it have both problems, so this guide covers both.
What changes when you sell to large companies
Search still works the same way at enterprise size. Keyword research, good pages, internal links, and a site Google can crawl still decide who ranks. What changes is who reads the pages, who approves them, and how long it takes for a result to show up as revenue.
| Typical pattern | Smaller SaaS deals | Enterprise SaaS deals |
| Who buys | One person or a small team, often on a self-serve plan | A buying committee: a champion, security, IT, finance, and procurement |
| Pages buyers check | Pricing, a free trial, and a few reviews | Comparisons, the trust center, integration docs, pricing, and case studies |
| Who approves a new page | A marketing lead | Marketing, product, brand, legal, and sometimes security |
| Time from brief to live page | Days | Weeks, longer for anything that names a competitor |
| Site size | Dozens to hundreds of pages | Thousands, across products, docs, regions, and subdomains |
| What leadership asks for | Signups and trials | Pipeline, influenced deals, and win rates |
These are rough patterns, and plenty of companies sit in between. A generic SaaS SEO plan (research keywords, publish posts, build links) still applies at enterprise size, but the bottleneck moves. It sits less in deciding what to write and more in building pages for every person on the committee, and in getting those pages approved, shipped, and kept current.
The enterprise SaaS SEO lifecycle
An enterprise SaaS SEO strategy runs in eight stages. Stages 1 to 3 decide what to build and win the resources to build it. Stages 4 to 6 set up approvals, fix the site, and build the pages, and the last two prove the work paid off and keep it accurate as the company grows. Each stage ends with something the next one needs.
Stage 1: Audit what you already have
An enterprise audit has a bigger job than a list of errors. It maps what exists, who owns it, and which problems cost the most, so the fixes can compete with product work for engineering time. Run it in the order below, because each step feeds the next.
Set a Search Console baseline by section
Export the longest range Search Console keeps (16 months) from the Performance report. Then split it two ways.
- Branded vs non-branded. Use the Non-branded queries option in the Query filter. Non-branded clicks show how many people find you without already knowing your name, which is the number an SEO program can move.
- By section. Add a page filter set to “Custom (regex)” for each part of the site, such as /compare/, /integrations/, /docs/, /trust/, /pricing, and /blog/.
Record clicks, impressions, and the top queries for each section. Every later result gets measured against this snapshot, and a section-level baseline is what lets you say “the comparison pages tripled” instead of “traffic went up.”
Map every property and subdomain
Enterprise SaaS sites are rarely one site. The marketing site, docs, help center, app, status page, community, and trust center often run on different platforms, owned by different teams. Each one can leak pages into Google or hide pages from it.
| Property | Common problem | How to find it | Usual owner |
| App (app.yourdomain.com) | Login, invite, or shared-dashboard pages indexed | A site:app.yourdomain.com search, and the domain property in Search Console | Product engineering |
| Docs | Its own sitemap and robots.txt, old versions indexed, few links from the marketing site | A separate crawl of the docs, and the Page indexing report filtered to the docs sitemap | Docs or developer relations |
| Help center | Near-duplicate articles across product versions | A site: search and a crawl | Support |
| Staging and preview sites | Copies of the site indexed | site: searches for each staging domain | Web engineering |
| Trust center | Content loaded by scripts or hosted on a third-party platform, so Google can’t read it | URL Inspection’s view of the crawled page | Security or compliance |
| Acquired domains and old product names | Redirect chains, or old domains still serving pages | A crawl of the old domains and a redirect check | Marketing operations |
A domain property in Search Console catches most of these, because it covers every subdomain at once. Check its Sitemaps report too. An audit of my own site found Search Console still listing sitemaps from my CMS subdomain, the likely reason CMS URLs were picking up impressions.
Check indexing by page type
Split your XML sitemaps by page type (comparisons, integrations, docs, blog, trust, pricing) and submit each one. Search Console’s Page indexing report can then be filtered by sitemap, which shows which types of pages Google leaves out.
Two statuses tell you the most. “Crawled – currently not indexed” usually means Google saw the page and decided it wasn’t worth keeping, which is common on templated integration and use-case pages that say little of their own. “Discovered – currently not indexed” means Google knows the URL but hasn’t crawled it yet.
A lot of enterprise SEO advice blames crawl budget for both. Google’s guide to managing crawl budget is written for sites with more than a million unique pages that change weekly, sites with more than 10,000 pages that change daily, or sites with a large share of URLs stuck as “Discovered – currently not indexed”. Most SaaS sites sit below those numbers, so pages missing from the index usually point to duplicates or thin templates, and fixing those does more than any crawl budget work.
List the pages each buyer needs
Check whether you have a page for each person on the buying committee, and whether it ranks for the search that person makes. A short table is enough.
| Buyer | Page | Exists? | Ranks for its main search? | Last updated |
| The champion | “[Your product] vs [top competitor]” | |||
| Security reviewer | SOC 2 or ISO 27001 page | |||
| IT and developers | Top five integration pages | |||
| Finance | Pricing page | |||
| Everyone, early | Explainers on the problems you solve |
The empty cells are your content backlog, ordered by how close each page sits to a purchase.
Turn the findings into a ranked backlog
Score each finding on four things: how many pages it affects, whether it touches revenue pages (comparisons, pricing, trust, integrations), how much work the fix takes, and who owns it. A problem on 40 comparison pages outranks the same problem on 400 old blog posts.
Write each finding as a ticket with the evidence and what it costs to leave it, not as a line in a slide deck. The SaaS SEO checklist has the full set of checks, with a free audit sheet that sorts failures by impact.
Stage 2: Research what the buying committee searches
Start with your sales team, not a keyword tool. Call recordings, lost-deal notes in the CRM, the security questionnaires sales answers most often, and support tickets show the exact words buyers use, the competitors they mention, and the certifications reviewers ask for.
Then turn that language into searches for each role:
- The champion. “[Competitor] alternatives”, “[your product] vs [competitor]”, and “[category] for enterprise”.
- Security reviewers. “[Your product] SOC 2”, “[your product] GDPR”, and “[your product] SSO”.
- IT and developers. “[Your product] [their tool] integration”, “[your product] API”, and setup questions.
- Finance and procurement. “[Your product] pricing” and “[category] pricing”.
- Everyone, early. The problems your product solves, in the words from sales calls.
A lot of these searches show little or no volume in keyword tools, especially the branded ones. Build the pages anyway. Each search tends to come from someone in a live deal, and the volume a tool reports for a branded query says little about the size of the deal behind it.
Last, check who already answers these searches. Search your brand with each modifier and note what ranks: your own page, a review site, or a competitor’s alternatives page. Every search where a competitor’s page ranks above yours is a gap to close. The output of this stage is a keyword map with one column per buyer.
Stage 3: Build the business case and get buy-in
Leadership approves SEO work faster when it’s tied to deals they already know about. Before asking for anything, get three numbers from sales operations:
- How many open deals went through a security review this year, and how long the reviews took
- How many lost deals named a competitor
- Which integrations come up most in sales calls
Then show which page would have helped each group. A trust center that answers the questionnaire’s top questions shortens reviews, and a comparison page gives the champion something to forward to their boss.
Start with the pages closest to a purchase: comparisons, the trust center, pricing, and the top integrations. They get less traffic than a blog, but the people reading them are already in a deal, so they’re the fastest way to show leadership a result.
Ask for specific resources rather than general support:
- A set number of engineering hours each sprint for SEO tickets
- A standing slot with legal for comparison and claims review
- A named owner for each page type, from pricing to the trust center
- Access to sales call recordings for research
Set expectations by quarter. Technical fixes and the first pages ship in the first quarter, and leading indicators like non-branded impressions move first. Rankings for comparison and integration terms usually follow over the next two quarters, and pipeline shows up as those deals close, which can take 6–12 months on enterprise sales cycles.
Stage 4: Set up governance before you publish
At enterprise companies, a finished page can sit in review longer than it took to write. In-house SEOs say the same on r/bigseo, where the top answer in a thread on in-house SEO at big brands describes a much slower pace because of layers of bureaucracy and sign-off. The steps below move the approval work earlier, so pages ship on time.
Settle the hard questions in the brief, before anyone writes
When I wrote for HubSpot, the work came from the product management team, with in-house experts, editors, and project managers around it. By the time a brief reached me, it had usually been through those people, so my drafts moved to publication without much back-and-forth. I didn’t see the internal discussions, but I saw the result. The hard questions were already answered when I started writing.
Zapier ran differently. I worked mostly with one editor, and we went back and forth on drafts. That works well for a company where one editor can approve a piece. At a company where legal, brand, and product all review a page, the same back-and-forth on a finished draft is where pages stall.
Put these five answers in the brief and get them approved before the writer starts:
- Claims. Which numbers, results, and customer names can the page use, and what source backs each one?
- Competitors. Can the page name competitors? If yes, which ones, and what can it say about them?
- Expert. Who reviews the page for accuracy, and when do they see it?
- Sign-off. Who approves it before publishing (legal, brand, product), and how long do they need?
- Owner. Who updates the page when prices, features, or certifications change?
Get comparison pages past legal once, not every time
In my experience, governance, legal, and cybersecurity companies are the most hesitant to talk about competitors. Comparison pages go through more approval loops there, even though they’re the pages closest to a purchase.
Rather than sending every comparison page through legal from scratch, agree on the rules once and write every page within them. A set of rules legal can approve might look like this:
- Every claim about a competitor links to a public source, such as their pricing page, docs, or an analyst report.
- Prices and features carry the month they were checked, and the page gets rechecked on a set schedule.
- The page describes what the competitor does well and who it suits, not only where it falls short.
- Customer results carry the customer’s permission and a note when results vary.
Once legal signs off on the rules, each new page only needs a check that it follows them.
When naming competitors is off the table, there are still pages that serve the champion. Category pages (“best [category] for enterprise teams”), use-case pages, and pages comparing approaches (“[your category] vs spreadsheets”) answer the same evaluation questions without a competitor’s name in the title.
Write technical fixes as engineering tickets
SEO fixes compete with product work for engineering time, and a vague request like “fix the canonicals” rarely wins a sprint slot. Write each fix the way engineers write their own tickets:
- The problem, with the affected URL pattern (for example, every /docs/v2/ page)
- The evidence, such as a Search Console screenshot or a crawl export
- The cost of waiting, in pages not indexed or traffic at stake
- The fix, and how to test that it worked
- An owner, on the engineering side and on the SEO side
A ticket that shows 4,000 docs pages missing from Google, with the traffic they’d bring, gets prioritized faster than a line in an audit report.
Add SEO checks to the release process
On big sites, the most expensive SEO problems are often shipped by accident, like a staging noindex tag that reaches production or a URL change without redirects. Add a short SEO check to engineering’s release checklist for any change to templates or URLs:
- No noindex tag or robots.txt block carried over from staging
- Changed or removed URLs redirect (301) to the closest live page
- Canonical tags point to the live URL, not a staging or parameter version
- New templates have a unique title, an H1, and links from related pages
- The XML sitemap updates on its own when pages are added or removed
Then watch for what slips through. Turn on Search Console’s email alerts, crawl the site weekly and compare it with the last crawl, and monitor robots.txt for changes.
Stage 5: Fix the technical foundation
On large sites, getting pages indexed is often a bigger limit than writing new content. A thread on r/bigseo about large-site SEO makes the same point about big sites in general, and it holds for SaaS companies with docs, integrations, and several products on one domain. These are the fixes that come up most, with how to check for each.
Make sure Google sees what buyers see
Trust centers, pricing calculators, and docs are often built as JavaScript apps. Google crawls, renders, and indexes JavaScript pages in separate steps, as its JavaScript SEO guide explains, so content that only appears after scripts run can be missed or delayed.
How to check. Run a page through URL Inspection in Search Console, test the live URL, and compare the rendered HTML with what you see on screen. If certification names, prices, or setup steps are missing, ask engineering to render those pages on the server or generate them as static HTML.
Give templated pages enough of their own content
Integration, use-case, and industry pages are usually built from one template. When each page only swaps in a name, Google tends to leave many of them as “Crawled – currently not indexed”.
How to check. Filter the Page indexing report by that template’s sitemap. If a large share sits outside the index, add what makes each page different, such as what the integration does, the setup steps, and a real use case. Merge pages that can’t be made different, and noindex the rest.
Consolidate duplicates and old versions
Docs versions (/v1/, /v2/), renamed products, and URL parameters create many copies of similar pages. Google picks one to show, and it isn’t always the one you want.
How to check. Look for “Duplicate, Google chose different canonical than user” in the Page indexing report. Point canonical tags at the current version, redirect retired product pages to their replacements, and keep parameter URLs out of internal links.
Connect docs and integrations to the marketing site
Docs and integration directories often sit on separate platforms with few links from the main site. Pages with few internal links get crawled less and pass little value to the rest of the site.
How to check. Crawl from the homepage and note how many clicks it takes to reach your top integration and docs pages. Link to them from product pages, comparison pages, and the pricing page, where buyers already look.
Get hreflang right across regions
Sites with several languages or regions use hreflang tags to tell Google which version to show where. Google’s hreflang documentation lists missing return links as the most common mistake: if page X points to page Y, page Y has to point back, or the tags may be ignored.
How to check. Run a crawler’s hreflang report and fix every page missing a return link or pointing to a redirected URL.
Measure speed by template, not sitewide
A fast homepage can hide slow integration directories or pricing calculators. Search Console’s Core Web Vitals report groups similar URLs together, which makes it easier to see which template is slow. Third-party scripts like chat widgets, testing tools, and tag managers are frequent causes, so review them with whoever owns each one.
Stage 6: Build the pages each buyer looks for
A buying committee doesn’t search as one person. The champion who found you compares vendors. A security reviewer checks your certifications. An IT lead checks whether you connect to their stack, and finance wants to know the price at their size. Each of them lands on a different page, and an enterprise SaaS SEO plan builds one for each.
Traffic figures in this guide are Semrush’s estimates of monthly US Google visits as of September 2026, and traffic value is what those visits would cost as Google ads. Treat both as directional, since Semrush models traffic rather than measuring it.
The champion: comparison, alternatives, and use-case pages
The champion is the person who found you and now has to sell you internally. They search for “[your product] vs [competitor]” and “[competitor] alternatives” because those are the questions their boss and the rest of the committee will ask.
CrowdStrike, a cybersecurity company, builds these pages under a /compare/ section, with pages for SentinelOne, Palo Alto Networks, Wiz, and others. The section ranks #2 for “crowdstrike vs sentinelone” and #3 for “crowdstrike competitors”. It draws only about 450 visits a month, but that traffic is worth about $10,000 a month, roughly $22 a visit, because the searches come from people comparing vendors before a purchase.
The page names its competitor in the headline and backs each claim with a numbered footnote. The sources include public MITRE ATT&CK evaluation results, an SE Labs test report, and Forrester Wave reports, and customer figures carry an “individual results may vary” note. That sourcing is what lets a company in a cautious industry publish a page this direct.
What to copy. Build comparison pages for the competitors your sales team hears about most, and give every claim a public source your legal team can check. If your company won’t name competitors, writing comparison pages that stay fair to the other vendor keeps them credible with the champion and easier to approve.
Security and compliance reviewers: the trust center
Enterprise deals go through a security review, and reviewers search for the evidence directly. Queries like “[vendor] soc 2 report” and “[vendor] fedramp” are small, but each one usually means a deal is in progress.
Atlassian’s Trust Center ranks #1 for “atlassian soc 2 report”, “jira fedramp”, and “atlassian trust center”. The whole section draws about 2,200 visits a month. Each certification has its own page, such as SOC 2, ISO 27001, and FedRAMP, which explains what the certification covers, which products it applies to, and how to get the report.
Salesforce and Snowflake run trust centers too, on their own subdomains. A trust center that loads its content with scripts, or sits behind a login, may not show up when a reviewer searches for it. Check that its main pages can be indexed and that each one names the certification in plain text, not only in a badge image.
What to copy. Give each certification its own indexable page with its name in the title, what it covers, and how to request the report.
IT and developers: integrations and docs
IT leads and developers want to know whether your product works with what they already run. They search for “[your product] [their tool] integration”, setup guides, and API references.
The Atlassian Marketplace, which lists apps that extend Jira and Confluence, draws about 44,600 visits a month, worth about $222,000. It has a “Regulated sectors” menu and an “Atlassian Enterprise Certified” collection of apps verified for compliance, security, and reliability, which answers an IT reviewer’s question before they ask it.
Datadog lists more than 1,000 integrations, and its integration docs draw about 4,700 visits a month on their own. Docs pages like these rank for exact setup queries that a marketing blog would never target. The same pattern built Zapier’s app directory, which I covered with its numbers in these SaaS SEO case studies.
What to copy. Give each major integration its own page with what it does, who it’s for, and a link to the setup docs, and make sure the docs themselves can be indexed.
Finance and procurement: pricing
Finance wants to know what the product will cost at the company’s size. A lot of enterprise SaaS companies answer with “Contact sales”, which leaves the search to review sites and competitors’ pages.
Datadog publishes its prices by product. Infrastructure monitoring starts at $15 per host per month on the Pro plan and $23 on Enterprise, billed annually, with on-demand rates and volume discounts listed beside them. A finance lead can estimate a bill before talking to anyone.
If your company won’t publish prices, publish what you can. A “how pricing works” page that explains the pricing unit (per seat, per host, per usage), what changes the price, and what’s included still ranks for “[your product] pricing” and gives finance something to forward.
What to copy. Publish a pricing page that explains how the price is calculated, even if the final number comes from sales.
Everyone, months earlier: explainer content
Before anyone builds a shortlist, people learn about the problem. Explainer pages reach the whole committee early, while they’re still working out what they need.
Datadog’s Knowledge Center publishes explainers on the topics its buyers work with, such as metrics, DORA metrics, serverless architecture, and distributed tracing. It draws about 11,900 visits a month, worth about $81,000, roughly $7 a visit. The hub ranks #4 for “dora metrics” and #2 for “ai observability”, and each page sits a click away from the product that measures what it explains.
IBM runs the same system at a much larger scale. Its Think hub of “what is” explainers draws about 5 million visits a month.
What to copy. Write explainers on the problems your product solves, not on every topic in your industry, and link each one to the product feature that solves it.
The examples at a glance
| Company | Pages | Who they serve | Monthly US visits | Traffic value |
| CrowdStrike | Comparison pages (/compare/) | The champion | About 450 | About $10K |
| Atlassian | Trust Center | Security reviewers | About 2,200 | About $16K |
| Atlassian | Marketplace | IT and admins | About 44,600 | About $222K |
| Datadog | Integration docs | Developers | About 4,700 | About $29K |
| Datadog | Knowledge Center | Everyone, early | About 11,900 | About $81K |
| IBM | Think explainer hub | Everyone, early | About 5 million | About $26.3M |
The smallest numbers in this table can be the most valuable. CrowdStrike’s comparison pages and Atlassian’s trust pages get a fraction of the traffic of an explainer hub, but the people reading them are already deep in a deal.
Stage 7: Measure on a 6–12 month sales cycle
When deals take most of a year to close, organic traffic this quarter says little about revenue this quarter. Leadership still needs to see progress, so measure in three layers, and compare each section against the Search Console baseline you took before the work started.
Self-reported attribution. Add a free-text “How did you hear about us?” field to demo and contact forms, and ask again on the first sales call. Software attribution misses a lot of enterprise journeys, because the person who found you on Google is often not the person who fills in the form. A $36K ARR deal from one of my roundups only showed up because the buyer told the agency where they’d found it.
Opportunity source in the CRM. Make organic search a source option on every opportunity, and have sales fill it from the self-reported answer. Then report pipeline and closed revenue from organic, not just leads.
Influenced pipeline. Track opportunities where someone at the account visited a comparison page, trust center, or pricing page before or during the deal. Those pages rarely start a deal, but they often help close one.
For the months before deals close, report leading indicators such as non-branded impressions and clicks, rankings for comparison and integration terms, and demo requests from organic pages. The SEO KPIs guide covers which of these to show leadership, with a free scorecard template.
Check whether AI answers cite you
Enterprise buyers now ask ChatGPT, Perplexity, and Google’s AI answers for vendor shortlists and comparisons. A growth lead at a mid-size B2B SaaS company asked about this on r/seogrowth, and the top reply separated two goals: ranking in search and being referenced in AI answers.
For a known enterprise brand, being referenced usually depends on the same pages the buying committee checks. AI answers pull from comparison pages, trust and certification pages, integration docs, and pricing pages, both yours and other sites’. If your trust center doesn’t say in plain text that you hold SOC 2 Type II, an AI answer to “Is [your product] SOC 2 compliant?” has to rely on someone else’s page.
Each month, ask the AI tools the questions each committee member would ask, and note which pages they cite. Getting recommended by ChatGPT walks through how to run those checks and what to fix.
Stage 8: Maintain, refresh, and scale
The pages enterprise buyers check go out of date faster than blog posts, and a wrong price or an expired certification on a comparison or trust page costs more than an outdated statistic. This stage keeps the work accurate and extends it as the company grows.
Recheck the pages that go out of date
Give each page type a recheck schedule and an owner. I’d check pricing pages monthly, comparison pages every quarter (competitors change prices and features often), integration pages when either product’s API changes, and trust pages whenever a certification is renewed or a new report comes out.
Refresh pages that start to slip
Compare the last three months with the three before in Search Console, section by section, and refresh the pages losing clicks before they drop off page one. Catching content decay early costs less than rebuilding a page after it slips, and on comparison pages the drop often comes from a competitor’s newer page.
Plan migrations, rebrands, and acquisitions with SEO from day one
Enterprise SaaS companies change domains and URLs more often than most. Notion moved from notion.so to notion.com, and after Atlassian acquired Loom, Loom’s blog moved to atlassian.com/blog/loom/, where it builds on the authority of Atlassian’s domain.
Google’s site move guidance covers the essentials: map every old URL to its new one, redirect them, keep the redirects for at least a year, and expect rankings to fluctuate while Google recrawls. For an enterprise move, also take a Search Console baseline of the old site before launch, keep the old property verified, and list the comparison, pricing, trust, and integration pages separately so they get checked first afterward.
Expand to new products and regions
When a new product launches, give it the same set of buyer pages: comparisons against its competitors, its certifications on the trust center, its integrations, and its pricing. A new product section without them leaves the committee to find answers elsewhere.
For new regions, localize the pages buyers check, not just the homepage. Regional pricing in local currency, data residency and compliance details on the trust center, and local integration partners answer the questions a regional committee asks, and every new version needs hreflang tags that point back and forth.
Decide when an enterprise SEO platform pays off
Enterprise SEO platforms like BrightEdge, Conductor, Botify, and seoClarity combine crawling, rank tracking, content tools, and reporting for big teams. BrightEdge, Conductor, and Botify quote prices on request, and seoClarity lists plans starting at $2,500 a month. Price is a recurring complaint on r/bigseo, where one user started a thread about a BrightEdge quote.
Search Console, a crawler like Screaming Frog, and a keyword tool like Semrush or Ahrefs cover what a lot of SaaS teams need, even at enterprise size. I’d look at a platform when at least one of these is true:
- Several teams publish to one site, and you need shared workflows and permissions.
- The site has hundreds of thousands of URLs, and a desktop crawler can’t keep up.
- Leadership wants one dashboard across regions, products, or brands.
- You need log file analysis at scale to see how Google crawls the site.
If none applies, put the budget into pages for the buying committee first.
Decide who does the work: in-house, agency, or both
An in-house SEO lead owns what an agency can’t, such as relationships with product, engineering, and legal, and the context to get pages approved. An agency or specialist adds capacity and skills the team doesn’t have, such as technical SEO for a migration or content for a new product line.
A lot of enterprise SaaS companies run both, with an in-house owner directing outside help. If you’re comparing outside help, this list of enterprise SEO agencies pairs each one with the problem it handles best, from technical debt to pipeline attribution.
Planning enterprise SaaS SEO, from the first audit to pages your legal team will approve and your buyers will find? Book a call with me.
