Anchor Text Strategy for SaaS Link Building: Distribution Ratios, Examples, and What Google Actually Penalises in 2026
Anchor text is one of those topics where the SEO industry has collectively lost the plot. People obsess over it. They agonise over whether to use “best HR software” or “HR software for mid-market companies” or “click here.” They build spreadsheets tracking their exact match ratios to two decimal places. And in my experience? I’ve never seen anchor text make or break a link building strategy. Not once.
That’s not to say it doesn’t matter at all. It does. But the conventional advice — spread your anchors across branded, exact match, partial match, naked URL, and generic text at precise percentages — is increasingly outdated in a world where Google’s AI understands context, and where LLMs are reading entire paragraphs around your link, not just the blue text.
59% of all Google searches now trigger AI-generated responses (Seer Interactive, 2025), and those AI systems don’t care about your anchor text ratio. They care about the semantic context in which your brand appears. That shift changes everything about how we should think about anchor strategy in 2026.
This guide covers the traditional distribution ratios (because you still need to understand them), then goes much further into what actually moves the needle: contextual placement, semantic patterns, and building the kind of mentions that get you cited by both Google and AI systems.
Key Takeaways
• Anchor text matters less than the contextual relevance of the page and paragraph surrounding your link — AI systems read context, not just anchors
• Companies aren’t getting penalised for link building in 2026; at worst, links get devalued, not punished (Google, 2025)
• We ran exact-match anchors for 6 months to two pages — first page, first position, no penalty a year later
• The real opportunity: extract semantic phrases from AI citations to inform where and how you build links
• Focus on which competitors appear alongside you and how your features are positioned, not your anchor text spreadsheet
Does Anchor Text Still Matter in 2026?
93.8% of SEOs prioritise link quality over quantity (Authority Hacker, 2025). That stat tells you where the industry’s attention has shifted — and it’s not toward anchor text ratios. Quality of the linking page, topical relevance of the site, organic traffic of the domain. Those are the variables that move rankings. Anchor text? It’s a signal, sure. But it’s one signal among dozens, and it’s probably the most overanalysed one in the entire profession.
Here’s my honest take after running authority campaigns for SaaS companies: your anchors should be keyword-targeted and branded. Full stop. I wouldn’t lose sleep over the old advice about naked URLs or generic text like “click here” and “learn more.” Those anchors exist in natural link profiles because people are lazy linkers, not because they’re strategically optimal.
Should you use keyword-rich anchors? Yes. Should you vary them? Sure, it’s common sense. Should you spend three hours per month in a spreadsheet calculating your exact-match-to-branded ratio to the nearest percentage point? Absolutely not. That time is better spent on literally anything else.
The reason anchor text gets so much airtime is that it’s easy to measure and easy to obsess over. It gives SEOs something concrete to point at in a report. “Look, we used 23% branded anchors and 12% exact match this month.” Great. But did the links actually improve rankings? Did they influence AI citations? Did they drive pipeline? Those are the questions that matter.
What Are the “Recommended” Anchor Text Distribution Ratios?
According to analysis of top-ranking pages, sites in the first position on Google have an average of 13% exact-match anchor text in their backlink profiles (Ahrefs, 2025). The rest distributes across branded, partial match, and other variations. Here are the ratios that the industry has traditionally recommended:
35–45%
15–20%
5–15%
10–15%
5–10%
10–15%
Now, are those ratios useful as a rough guide? Sure. Should you treat them as gospel? No. Here’s why: every niche, every competitive landscape, and every link profile is different. A fintech SaaS with 5,000 referring domains has a completely different anchor profile tolerance than a bootstrapped project management tool with 200.
The conventional wisdom says anything above 15% exact-match anchors is “risky.” We’ve seen it work just fine at much higher percentages. We’ve also seen diverse profiles with barely any exact-match anchors rank beautifully. The ratio itself isn’t the determining factor. The quality, relevance, and context of the links are.
Can You Actually Get Penalised for Aggressive Anchor Text?
Google’s own spam policies state that “link spam” includes “excessive link exchanges” and “large-scale article marketing or guest posting campaigns with keyword-rich anchor text” (Google Search Essentials, 2025). That’s what they say. What they actually do in practice is quite different.
Let me tell you what actually happened with one of our clients. They were absolutely insistent — and I mean insistent — on using exact-match anchor text. Six months straight, pointed at one or two pages. Every SEO textbook says this should trigger a penalty. The “experts” on Twitter would have had a field day.
The results? Massive ranking increases. First page, first position for exactly the terms we were targeting. And a year later? No penalty. No manual action. No ranking drop. Nothing.
Now, did the results come from the anchor text specifically, or from the quality of the links we built? Probably a combination, weighted more toward the latter. But the point stands: the conventional advice would say “never do this,” and the actual outcome said otherwise.
The uncomfortable truth: Companies aren’t getting penalised for link building in 2026. The days of manual actions for anchor text over-optimisation are largely behind us. What happens instead? Links get devalued. Google’s algorithms are smart enough to identify manipulative patterns and simply ignore those links rather than punish the entire site. With how easy it is to do negative SEO and attack competitors by building spammy links to their site, it would be absurd for Google to punish websites for having anchor-text-rich backlink profiles.
This doesn’t mean you should go reckless. It means the fear of penalty that drove the “diversify your anchors at all costs” advice is outdated. The real risk isn’t penalty — it’s wasted effort. If you build 50 links with great anchor text but they’re on irrelevant, low-traffic sites, the anchor text is the least of your problems.
The PBN Paranoia
While we’re busting myths, let’s talk about PBNs. We don’t build PBN links for clients — it’s not our approach and it’s not sustainable. But the industry’s obsession with PBN detection is a bit overblown. It’s often an agency’s way of selling “white hat” services by making you terrified of anything else.
Real white hat link building? It’s publishing great content and acquiring links naturally. But we all know you need to actively build links to compete. That’s why every major SaaS company does it. HubSpot does it. Salesforce does it. Your competitors who acquire 10-20 links every month with strong anchor texts? They’re doing it. Let’s stop pretending otherwise and focus on what actually works.
How Does Contextual Placement Matter More Than Anchor Text?
Brand mentions now correlate 0.664 with AI visibility, compared to just 0.218 for traditional backlinks (Otterly.ai, 2025). That data point tells you something fundamental: AI systems are reading the context around links, not just the anchor text. And since 59% of Google searches now trigger AI responses, context has become arguably more important than the link itself.
Think about what happens when an LLM encounters your backlink. It doesn’t just read “HR software” as a hyperlink. It reads the entire paragraph. It understands what the article is about, who the audience is, what problem is being discussed, and how your brand fits into that discussion. The anchor text is one data point in a sea of semantic signals.
This is why I say contextual placement is the new anchor text strategy. Let me show you what I mean.
Good Contextual Placement (HR Software Example)
“Mid-market companies with 200-500 employees face a specific onboarding challenge: they’re too big for spreadsheet-based processes but often lack the HR infrastructure of enterprise organisations. Tools like BambooHR address this by providing automated onboarding workflows that reduce new-hire setup time by an average of 40%. For growing teams, this kind of efficiency directly impacts retention during the critical first 90 days.”
Article is about HR challenges. Audience is mid-market. The link appears in context of a genuine solution to a real problem. An LLM reading this paragraph learns: BambooHR → mid-market → onboarding → efficiency → retention.
Bad Contextual Placement (Same Product)
“Every business needs the right tools to succeed in 2026. From project management to accounting, there are thousands of SaaS products available. Some popular options include Trello for task management, QuickBooks for finance, and BambooHR for human resources. Choosing the right tech stack is important for growth.”
Generic listicle with no depth. No specific use case. No audience context. An LLM reading this learns nothing meaningful about BambooHR — it’s just one name in a list. Zero semantic value for AI citation purposes.
See the difference? The anchor text in both examples could be identical. But the semantic value to both Google and AI systems is completely different. The first example builds a genuine association between BambooHR, mid-market companies, onboarding challenges, and measurable outcomes. The second is filler content that happens to include a link.
This is what we mean when we say context beats anchor text. You could use “click here” as your anchor in the first example and it would still provide more SEO and AI value than a perfect exact-match anchor in the second.
How Are AI Systems Using Link Context to Generate Citations?
Over 100 million people now use ChatGPT weekly (OpenAI, 2025), and these users are increasingly asking product recommendation and comparison queries that directly compete with Google’s commercial search results. The way AI systems decide which brands to cite in their responses has massive implications for how we think about link building and anchor text.
We ran an experiment recently — full disclaimer, not a client, purely research. We took BambooHR and tracked 20 AI prompts related to “HR software” across ChatGPT, Perplexity, and Google AI Overviews. BambooHR appeared in 15 out of 20. That’s a 75% citation rate. Impressive.
But the interesting bit was the five prompts where they didn’t appear. When we analysed what was different, a pattern emerged: the missing citations were in sub-niches where competitors had built stronger contextual associations through their content and link profiles. One competitor dominated “HR software for remote teams” across AI platforms. Another owned “HR compliance automation.” BambooHR’s gap wasn’t a link quantity problem. It was a contextual specificity problem.
The competitors who appeared in those five prompts had intentionally focused their link building and content strategy on those specific sub-topics. Their backlinks weren’t just from “HR blogs” — they were from articles specifically about remote workforce management, compliance automation, and distributed team operations. The semantic context surrounding their brand mentions aligned perfectly with what the AI was being asked about.
What this means for anchor text: The exact words in your hyperlink matter far less than the topic of the article, the specificity of the discussion, and the semantic associations being built around your brand. When we build links for SaaS clients now, we think less about “what anchor text should we use?” and more about “what semantic territory are we claiming with this placement?”
Semantic Signals That AI Systems Extract
Based on what we’re observing across hundreds of AI prompt tracking sessions, here are the contextual signals that appear to influence AI citations:
| Signal | What It Tells AI Systems | Impact on Citations |
| Which competitors appear alongside you | How you’re grouped and categorised in the market | High |
| Features and benefits described | Your product’s strengths vs competitors | High |
| Use cases and industries mentioned | Which queries you’re relevant for | High |
| Sentiment and recommendation language | Whether to recommend you or just mention you | Medium |
| The actual anchor text | Keyword association (traditional signal) | Medium-Low |
| Naked URL or generic anchor | Minimal keyword association | Low |
Notice where “actual anchor text” sits in that table. Not at the top. Not even close. The semantic environment — competitors, features, use cases, industries — carries far more weight in determining whether an AI system cites your brand for a given query.
What Should Your SaaS Anchor Text Strategy Actually Look Like?
SEO leads convert at 14.6% compared to 1.7% for outbound (SimpleTiger, 2025). Those conversions come from ranking for the right terms, which means your anchor strategy needs to support both traditional rankings and AI citation visibility. Here’s the practical framework we use at EMGI.
Step 1: Audit Your Current Anchor Profile
Before changing anything, understand where you are. Pull your backlink profile from Ahrefs or Semrush and categorise your existing anchors. You’re looking for:
- Total distribution across branded, exact, partial, generic, and naked URL
- Any obvious over-concentration on specific terms
- Pages receiving the most links and with what anchors
- How your distribution compares to the top 3-5 competitors for your primary keyword
The competitor comparison matters more than any “ideal ratio” guide. If every top-ranking site in your niche has 20% exact-match anchors and you’ve got 3%, that gap tells you more than any generic recommendation ever will.
Step 2: Map Semantic Territories, Not Just Keywords
This is where we diverge from traditional anchor text advice. Instead of planning “this month we’ll use 40% branded and 15% exact match,” plan based on semantic territories you want to own.
For an HR software SaaS, the semantic map might look like:
Each territory gets links from topically relevant articles where the context naturally discusses that sub-topic. The anchor text follows the context rather than leading it. This approach simultaneously builds traditional anchor diversity AND the semantic signals that AI systems use for citation decisions.
Step 3: Track AI Citations, Not Just Rankings
Here’s what we’re doing at EMGI that most agencies haven’t caught on to yet. We extract the semantic phrases from companies that are actually appearing in AI responses for relevant prompts. Then we use those patterns to inform our link building strategy.
The process:
- Run 20-30 prompts related to your target keywords across ChatGPT, Perplexity, and Google AI Overviews
- Track which brands appear and which don’t
- Analyse the semantic patterns — what context surrounds the cited brands?
- Identify the gaps — which prompts are you missing from?
- Build links and content that fill those specific semantic gaps
Of course, no company can rank for everything. Having a topical niche is super important. The bigger your company gets and the more budget you have, the more sub-segments and markets you can go after. But for most SaaS companies, focusing on 3-5 core semantic territories and owning them completely will outperform trying to be everywhere at once.
Our approach: We don’t just track whether our clients appear in AI responses. We track which competitors appear alongside them, what features are highlighted, and what language the AI uses to describe each brand. That competitive intelligence feeds directly into our link building strategy — we know exactly which semantic associations to strengthen and which gaps to fill.
What’s the Difference Between What Google Says and What Google Does?
Google’s December 2025 Core Update continued the trend of using AI to understand content relationships at a semantic level (Google Search Status Dashboard, 2025). The gap between Google’s public advice and their actual algorithmic behaviour has never been wider, and that gap matters enormously for anchor text strategy.
Google says: “Don’t build links with keyword-rich anchor text.” Google does: ranks sites with keyword-rich anchor text from authoritative, relevant sources. The biggest enterprise SaaS companies all do active link building. HubSpot, Salesforce, Monday.com, Zendesk — look at their backlink profiles. You’ll find plenty of keyword-targeted anchors. They’re not getting penalised. They’re getting rewarded, because the links come from relevant, authoritative sources.
Google says: “Links should be earned naturally.” Google does: appears to weight editorially-placed links from high-authority sites regardless of whether they were “earned” passively or proactively placed through outreach.
Google says: “We can detect and ignore manipulative links.” This part, I actually believe. The shift from “penalty” to “devaluation” is real. If you build 100 low-quality links with aggressive anchors, the most likely outcome isn’t a penalty — it’s that those links simply don’t count for anything. Your money’s wasted, not your rankings destroyed.
So what should you actually observe, rather than just listen to? Watch what the top-ranking sites in your niche actually do. Analyse their backlink profiles. Look at their anchor distributions. See where they’re building links and in what context. Then do what works, informed by real-world results rather than theoretical best practices written by people who haven’t built a link in three years.
The Future: Why Semantic Context Will Replace Anchor Text Entirely
By 2027, an estimated 30-40% of search sessions will involve AI-generated responses (Gartner, 2025). As that percentage grows, the traditional concept of “anchor text optimisation” will fade into background noise. Here’s where things are heading.
LLMs don’t process links the way Googlebot does. They process language. They build entity relationships. They understand concepts, not hyperlinks. When an LLM decides whether to cite BambooHR for a query about “best HR software for remote teams,” it’s drawing on thousands of contextual mentions, not counting anchor text ratios.
This means the SaaS companies that win in 2027-2028 will be the ones that invested in building rich, specific, contextually relevant mentions across the web in 2026. Not the ones who spent that time fine-tuning their anchor text spreadsheet.
The brands that appear in the right context — discussed alongside the right competitors, associated with the right features, positioned for the right use cases — will dominate AI citations. The ones that focused purely on traditional link metrics will wonder why their “strong backlink profile” isn’t translating into AI visibility.
We’re already seeing this play out. And it’s why at EMGI we’ve shifted our entire approach from “link building” to “authority building” — because the distinction matters more every quarter.
Frequently Asked Questions
What percentage of anchor text should be exact match?
Industry analysis shows top-ranking pages average around 13% exact-match anchors (Ahrefs, 2025). But this varies hugely by niche. We’ve seen clients succeed with significantly higher percentages when the links come from relevant, authoritative sources. Focus on matching your top competitors’ distribution rather than following generic ratios.
Will Google penalise me for too many keyword-rich anchors?
In 2026, the risk is devaluation, not penalty. Google’s spam policies still flag “keyword-rich anchor text links” as potentially manipulative, but the practical outcome is typically that low-quality keyword-stuffed links get ignored rather than triggering manual actions. The exception would be massive, obvious PBN-style manipulation — normal agency-built links with keyword anchors are not causing penalties.
Does anchor text affect AI citations?
Indirectly. The anchor text itself has limited direct impact on AI systems, but the contextual content surrounding the link has significant influence. Brand mentions that appear in topically relevant, semantically rich articles correlate 0.664 with AI visibility (Otterly.ai, 2025). Focus on where and how your brand appears, not just what text is hyperlinked.
How often should I audit my anchor text profile?
Quarterly is sufficient for most SaaS companies. Pull your full backlink profile from Ahrefs or Semrush, categorise new anchors, and compare against your top competitors. More importantly, run AI prompt audits monthly — tracking which prompts your brand appears in and which it doesn’t — as this reveals contextual gaps that anchor data alone can’t show.
Should I disavow links with over-optimised anchor text?
Almost never. Google’s John Mueller has repeatedly stated that the disavow tool is unnecessary for most sites. With Google now devaluing rather than penalising manipulative links, disavowing is like removing a bullet that was never going to fire. Focus your time on building better links going forward rather than cleaning up old ones.
Stop Optimising Anchors, Start Owning Semantic Territory
Here’s what I want you to take away from this. Anchor text is a small piece of a much larger puzzle, and the industry has spent a decade giving it way more attention than it deserves. In 2026, the puzzle looks like this:
- Contextual relevance of the linking page — Is the article genuinely about your topic?
- Semantic positioning — Which competitors appear alongside you? What features are highlighted?
- AI citation patterns — Are you appearing in the AI responses that matter for your category?
- Authority of the source — Does the linking site have real traffic from your target audience?
- Anchor text — Use keyword-targeted and branded anchors. Don’t overthink it beyond that.
Your competitors aren’t winning because they nailed their anchor text ratio. They’re winning because they built links from relevant publications, in articles that discuss the right topics, positioned alongside the right competitors, and they did it consistently for 12-24 months.
That’s the strategy. Everything else is noise.
Want to see which semantic territories your SaaS brand is missing?
We run AI prompt audits as part of every authority campaign. We’ll show you exactly where you appear, where you don’t, which competitors own the gaps, and the specific link building strategy to close them. It’s not about anchor text — it’s about owning the conversations that drive pipeline.
We offer a fire-us guarantee after 90 days. If the strategy isn’t delivering, we walk. Our retention rate’s above 90% — that should tell you how often we actually have to walk.
Matt Shirley is the founder of EMGI Group, a SaaS authority growth agency based in London. He’s spent years obsessing over what actually moves rankings and AI citations — not what the textbooks say should work.