What Is Anchor Text? Everything You Need to Know (No Jargon!)

In this article, you’ll learn what anchor text is, why it matters for SEO, the different types of anchor text, how Google uses it as a ranking signal, and practical best practices for choosing the right anchor text for your links. You’ll also learn how the concept of anchor text translates into AI search—where citations and context replace clickable links—and how to monitor both channels in a single workflow.

What Is Anchor Text?

Anchor text is the clickable text in a hyperlink. It’s the visible word or phrase that users click to navigate from one page to another.

In HTML, it looks like this:

<a href="https://www.example.com/page">This is the anchor text</a>

Everything between the opening <a> tag and the closing </a> tag is the anchor text.

You encounter anchor text constantly. Every link on every web page has it. When you read “click here” or “read our full guide,” those are anchor texts. When you see a hyperlinked brand name like “Analyze AI,” that’s anchor text too.

The term “anchor” comes from older versions of the HTML specification, where the <a> tag was formally called an “anchor.” The name stuck, even though we now usually call it a “hyperlink.”

Why Does Anchor Text Matter for SEO?

Anchor text matters because Google uses it to understand what the linked page is about—and potentially, which queries that page should rank for.

This isn’t speculation. Google’s original 1998 research paper by Sergey Brin and Larry Page explicitly describes how the search engine uses anchor text. The paper explains that anchor text often provides more accurate descriptions of web pages than the pages themselves.

Think about why that makes sense. If dozens of unrelated websites link to a page using the phrase “project management software,” that’s a strong signal to Google that the page has something to do with project management software. The linking sites are essentially voting on what the page is about—and the anchor text is the ballot.

The logic extends further. Google’s founders noted that anchor text also allows them to return results for documents that can’t be crawled as text—like images, PDFs, and databases. The anchor text of links pointing to those files acts as a text-based proxy for content that otherwise has no words for Google to index.

So anchor text serves two purposes: it helps Google understand relevance, and it helps Google associate keywords with pages that might not contain those keywords in their own content.

That’s the theory. In practice, the relationship between anchor text and rankings is more nuanced—which we’ll explore in the data section later.

How Anchor Text Differs from Surrounding Link Text

There’s a related concept worth understanding: surrounding link text.

Surrounding link text is the text immediately before and after a hyperlink—the sentence or paragraph in which the link sits. It’s not the clickable part, but it provides context.

Google has a patent from 2004 titled “Ranking based on reference contexts” that describes how they use this surrounding text. The patent explains that when the actual anchor text is vague or generic (like “click here”), Google may look at the surrounding text to determine what the linked page is about.

Here’s how that works in practice:

“We tested several project management tools. Click here to read our full review of Asana.”

The anchor text is “Click here”—which tells Google nothing about the linked page. But the surrounding text clearly mentions “project management tools” and “Asana,” giving Google the context it needs.

This is worth knowing because it changes how you should think about links. Even when you can’t control the anchor text (which is most of the time), the surrounding content still matters.

Types of Anchor Text

Not every link uses the same kind of anchor text. SEOs generally classify anchor text into seven types. Understanding them is important because each sends a different signal to search engines.

Let’s say someone is linking to a page that targets the keyword “email marketing software.” Here’s how each type would look:

Exact Match

The anchor text is the exact keyword the target page is trying to rank for.

“We use email marketing software to manage our campaigns.”

Exact match anchors send the strongest keyword signal. They tell Google directly what the linked page is about. But they’re also the most dangerous when overused—Google’s Penguin algorithm was designed specifically to catch excessive exact-match anchor manipulation.

Phrase Match

The anchor text contains the target keyword phrase within a longer phrase.

“We found the best email marketing software for startups after months of testing.”

Phrase match anchors are more natural than exact match. They still include the target keyword, but the additional words make them feel less forced. These are common in editorial content where writers naturally expand on a keyword.

Partial Match

The anchor text includes all the words from the target keyword, but not as an exact phrase.

“We’ve been testing several software platforms for email marketing over the past year.”

All the words are present—“software,” “email,” and “marketing”—but they don’t appear together as a phrase. Google is sophisticated enough to understand the relationship, but the signal is weaker than an exact or phrase match.

Branded

The anchor text is the name of the brand or company that owns the linked page.

“Mailchimp is one of the most popular tools in the space.”

Branded anchors are the most natural type and typically make up the largest share of a healthy backlink profile. When people link to a company they trust, they use the company name. That’s just how humans write.

Naked URL

The anchor text is the raw URL itself.

“You can find their pricing at https://www.mailchimp.com/pricing.”

Naked URLs are common in forums, social media, and casual content. They don’t provide any keyword signal, but they’re a natural part of any link profile.

Generic (Random)

The anchor text is a generic, non-descriptive phrase that doesn’t contain the target keyword.

“You can read more here about the tools we recommend.”

Phrases like “click here,” “this article,” “learn more,” and “read this” fall into this category. They provide no keyword signal, but they’re extremely common in natural content. Google relies on the surrounding text (see above) to interpret these.

Image Link

When an image serves as a link, Google treats the image’s alt attribute as the anchor text.

<a href="https://www.example.com">
  <img src="email-tool.png" alt="email marketing software comparison chart" />
</a>

If the alt text is empty, Google treats it as a naked URL. This is why writing descriptive alt text for linked images matters—it’s the only anchor signal Google gets.

Quick Reference: Anchor Text Types at a Glance

How Anchor Text Influences Search Engine Rankings

We’ve established that Google uses anchor text. But how much does it influence rankings?

The short answer: it matters, but less than you might think.

The Early Days: When Anchor Text Was King

In Google’s early years, anchor text was one of the most heavily weighted ranking signals. Brin and Page’s 1998 paper described treating anchor text in a “special way”—associating it not just with the page the link sat on, but with the page being linked to.

This meant that anyone who wanted to rank a page for a keyword only needed to point enough links at it with that keyword as the anchor text. More keyword-rich anchor text links than your competitor? You win.

This simplicity led to what became known as “Google Bombing.” SEOs demonstrated how easy it was to game the system by pointing anchor text links at unrelated pages and ranking them. The most famous example: George W. Bush’s biography page ranked #1 for “miserable failure” because enough people linked to it with that phrase.

Clearly, the system was too easy to manipulate.

Google Penguin: The Crackdown on Manipulative Anchors

In April 2012, Google rolled out the Penguin algorithm update, which specifically targeted manipulative link schemes—including anchor text spam.

Sites that had aggressively built exact-match anchor text links saw their rankings collapse overnight. According to Google, the initial update affected about 3.1% of English queries. Subsequent Penguin updates continued to refine the detection of unnatural anchor text patterns.

The practical result: exact-match anchor text went from being the primary lever for ranking to a potential liability. Most SEOs now recommend keeping exact-match anchors below 5% of your total backlink profile.

But that recommendation is based more on conventional wisdom than hard data. Let’s look at what the numbers actually show.

What the Data Says About Anchor Text and Rankings

A large-scale study that analyzed the backlink profiles of 384,614 web pages across 19,840 keywords found some surprising results about the relationship between anchor text and rankings.

The researchers measured the percentage of different anchor text types pointing to each page, then looked for correlations with ranking position.

Exact-match anchors: The Spearman correlation between the percentage of exact-match anchors and ranking position was 0.14–0.19. That’s a weak positive correlation. In plain language: pages ranking higher tend to have slightly more exact-match anchors, but the relationship is far from strong or consistent.

Phrase-match anchors: The correlation was even weaker—around 0.10–0.14.

Partial-match anchors: Nearly identical to phrase-match at 0.10–0.14.

Generic/random anchors: Effectively zero correlation (0.01–0.02).

Surrounding link text: When researchers isolated pages with only generic anchors and checked whether the target keyword appeared in the surrounding text, the correlation with rankings was also near zero.

The takeaway: while anchor text does send a signal to Google, it’s one of many factors. Obsessing over anchor text ratios is unlikely to move the needle compared to creating great content and earning quality links.

An Important Caveat About the Data

No study like this is perfect. The biggest flaw is that individual pages rank for hundreds or thousands of keywords. The study had to pick one “target keyword” per page, but there’s no reliable way to know which keyword the page owner was actually targeting.

This means the exact-match percentages might be artificially low—a page could have plenty of exact-match anchors for keywords the researchers didn’t analyze.

Still, the overall conclusion holds: anchor text influence is real but modest, and any correlation-based study in SEO should be interpreted with caution.

Anchor Text Best Practices for SEO

Data aside, there are concrete best practices for how you should handle anchor text—both for internal links (which you fully control) and external links (which you mostly don’t).

For Internal Links

Internal links are the one place where you have complete control over anchor text, so it’s worth getting them right.

Use descriptive, keyword-relevant anchor text. If you’re linking to your page about “email marketing software,” use anchor text that includes those words naturally. Don’t write “click here to see our email marketing software page.” Write “our email marketing software comparison can help you decide.”

Vary your anchor text across pages. If ten different pages on your site all link to the same page with the exact same anchor text, that looks mechanical. Use natural variations: “email marketing tools,” “platforms for email campaigns,” “Mailchimp alternatives,” and similar phrases.

Don’t use the same anchor text for two different URLs. If you link “email marketing software” to page A on one page and to page B on another, you’re sending Google a confusing signal about which page should rank for that term. Pick one target page per keyword phrase and be consistent.

Keep it natural. Anchor text should read naturally within a sentence. If you have to restructure an entire paragraph to fit a keyword-rich anchor, you’ve gone too far.

For External Links (Backlinks)

Here’s the uncomfortable truth about external anchor text: you can’t control it. And for the most part, you shouldn’t try to.

When another site links to you, they choose the anchor text. That’s the whole point of a natural backlink—it’s an editorial decision by the linker, not the linked-to site.

There are exceptions. Guest posts give you some control over the anchor text in your contributor bio and any contextual links. But even there, the best practice is to use branded anchors or naturally descriptive text—not stuffed exact-match keywords.

The safest strategy is this: create content worth linking to, and let the anchor text happen organically. A natural backlink profile will have a healthy mix of branded anchors, naked URLs, generic phrases, and the occasional keyword-relevant anchor. That’s exactly what Google wants to see.

What to avoid:

• Building links on private blog networks (PBNs) with exact-match anchors

• Paying for links with specific anchor text

• Exchanging links with partners using pre-agreed anchor text

• Over-optimizing anchors in guest post bios

Google’s Link Spam policies are explicit: any link intended to manipulate rankings is a violation. And anchor text is one of the clearest signals Google uses to detect manipulation.

How to Audit Your Anchor Text Profile

If you want to check whether your current anchor text distribution looks natural, here’s how to do it.

Step 1: Pull your backlink data. Use a tool like Google Search Console (free), or a third-party tool that provides anchor text reports. In Google Search Console, go to Links > Top linking text to see your most common anchor texts.

Step 2: Categorize your anchors. Go through the list and tag each anchor as exact match, phrase match, partial match, branded, naked URL, or generic. A spreadsheet works fine for this.

Step 3: Check for red flags. Look for these warning signs:

• Exact-match anchors making up more than 5-10% of your total profile

• A single keyword phrase appearing as anchor text far more often than your brand name

• Anchor text that doesn’t match your content at all (possible negative SEO or spam)

• Clusters of identical anchors from low-quality domains

Step 4: Compare against competitors. Pull the anchor text data for 2-3 competitors ranking for your target keywords. Compare their distribution to yours. If their branded anchors are at 40% and yours are at 5%, that’s a signal your profile may look unnatural.

Step 5: Fix problems. If you find over-optimized anchors from links you control (like guest posts or directory listings), update them. For anchors from links you can’t control, consider Google’s disavow tool as a last resort—but only for clearly spammy links.

Anchor Text in AI Search: Why Context Replaces Clicks

Everything we’ve discussed so far applies to traditional search—where users type a query, see ten blue links, and click. But the search landscape is expanding.

AI search engines like ChatGPT, Perplexity, Claude, Gemini, and Copilot don’t show clickable blue links. They generate answers and cite sources inline. Users read a synthesized response, and the “link” is a footnote or a reference—not a hyperlinked phrase in the traditional sense.

This changes the anchor text equation entirely.

In traditional search, anchor text is a signal from other websites to Google about what your page is about. In AI search, there is no anchor text. Instead, there are citations—the way an AI model references your content when it uses your page as a source for its answer.

But the underlying principle is the same: context matters. The words an AI model uses to describe your content when it cites you are the AI equivalent of anchor text. If ChatGPT writes, “According to a detailed comparison by [YourBrand], the top project management tools include…,” that framing is doing the same job as anchor text in traditional search: telling users (and the model) what your content is about.

The difference is that you can’t control it the way you can (sort of) control anchor text. AI models decide how to frame their citations based on what they find on your page, what other sources say, and the context of the user’s prompt.

What This Means for Your Strategy

The practical implication is that the same things that improve your anchor text profile in traditional SEO also improve how AI models cite you:

• Clear, descriptive content gives AI models better context to work with when they reference you.

• Strong brand presence means models are more likely to cite you by name (the AI equivalent of a branded anchor).

• Topical authority increases the chance that models associate your brand with specific topics—just like keyword-rich anchors do in traditional search.

This is what we mean at Analyze AI when we say GEO is not a replacement for SEO—it’s the next transformation of it. The fundamentals haven’t changed. What’s changed is where and how those fundamentals are being evaluated.

How to Track Your “Anchor Text” in AI Search

In traditional SEO, you’d audit your anchor text profile using backlink analysis tools. In AI search, the equivalent is tracking how AI models cite and describe your brand.

Analyze AI lets you do exactly that.

See which sources AI models cite. The Sources dashboard shows every URL and domain that AI platforms reference when answering questions in your space. You can filter by time period, AI model (ChatGPT, Perplexity, Claude, Gemini, and more), and brand. This is the AI equivalent of checking your backlink profile—except instead of anchor text, you’re seeing which of your pages get cited, how often, and in what context.

Drill into top cited domains. You can expand the Top Cited Domains view to see which specific websites AI models reference most. This is like checking who’s linking to your competitors in traditional SEO—except here, you’re seeing which domains models trust and cite most often.

Identify competitive gaps. The Competitors view in Analyze AI shows which brands appear alongside yours in AI answers—and where they appear but you don’t. These gaps are the AI search version of losing on anchor text: your competitors are being cited in contexts where you’re absent.

Monitor how AI models perceive your brand. The Perception Map plots your brand against competitors across two axes: visibility and narrative strength. A brand in the top-right quadrant is both widely cited and described compellingly. This is, in a sense, the aggregate “anchor text” of your brand across AI—how models frame and describe you.

How to Choose the Right Anchor Text (Decision Framework)

Let’s get practical. When you’re writing content and need to add a link—whether internal or external—how should you choose the anchor text?

Here’s a simple decision framework:

1. Start With the Reader

Before thinking about SEO, think about the person reading your content. Anchor text should tell the reader where the link goes without them needing to hover over it or read the surrounding text.

Bad: “For more information, click here.”

Good: “We wrote a guide to keyword research that covers this in detail.”

The second version tells the reader exactly what they’ll get if they click. It’s better UX and better SEO.

2. Match the Anchor to the Target Page’s Topic

The anchor text should describe what the linked page is about, not what the current page is about.

If you’re linking to a page about email deliverability, your anchor should mention email deliverability—not “email marketing strategy” or “our product.” Stay specific to the destination.

3. Use Natural Language

The anchor text should fit seamlessly into the sentence. If it reads awkwardly, rewrite the sentence—don’t force the anchor.

Awkward: “Learn about best practices for choosing anchor text for SEO optimization from our experts.”

Natural: “We cover anchor text best practices in detail later in this guide.”

4. Vary Your Anchors Across Pages

If you’re linking to the same page from multiple articles on your site, use different anchor text each time. This signals to Google that the topic association is natural, not manufactured.

For a page about “keyword research tools,” you might use:

• “keyword research tools” on one page

• “tools for finding keywords” on another

• “our favorite keyword tools” on a third

5. Default to Branded for External Links You Control

If you’re writing a guest post or creating a profile somewhere, use your brand name as the anchor. “Analyze AI” is safer and more sustainable than “best AI search analytics platform.”

Common Anchor Text Mistakes to Avoid

Here are the mistakes we see most often, and how to fix them.

Over-Optimizing Exact-Match Anchors

This is the most dangerous mistake. If 30% of your backlinks use the exact same keyword-rich anchor text, Google’s Penguin algorithm will notice. The fix: diversify. Let most of your anchors be branded, generic, or naturally varied.

Using the Same Anchor Text for Multiple URLs

If “content marketing” links to page A on one page and page B on another, Google doesn’t know which page to associate with that keyword. This creates internal competition. Map one target keyword to one target page, then stick to that mapping.

Ignoring Internal Link Anchors

Many sites put all their anchor text effort into external links and completely ignore internal links—where they have full control. Your internal linking structure is one of the few places where you can actively shape how Google understands your site’s topical relationships. Use it.

Using “Click Here” and “Read More” Everywhere

Generic anchors aren’t harmful in moderation, but if every link on your site says “click here,” you’re wasting a topical signal. Aim for a mix: some generic anchors are fine, but most should be descriptive.

Forgetting About Image Alt Text

If you use images as links (which is common in sidebars, CTAs, and product pages), the alt text is your anchor text. Empty alt attributes mean Google gets no anchor signal at all from that link.

Anchor Text and Internal Linking: An Underrated Lever

Most anchor text discussions focus on backlinks—links from other sites. But internal anchor text—the text you use when linking between your own pages—is one of the most controllable and underused SEO levers available.

Here’s why: Google uses internal anchor text the same way it uses external anchor text. It reads the clickable text and associates it with the destination page. But unlike backlinks, you have complete editorial control over internal links.

This means you can use internal anchor text strategically to:

• Reinforce topical associations. If you want Google to understand that your page about “keyword types” is authoritative on that topic, link to it from other pages using descriptive anchor text that includes relevant terms.

• Distribute link equity. Internal links pass PageRank between your pages. The anchor text tells Google what that equity should be associated with.

• Support content hubs. If you’re building a content strategy around topic clusters, internal anchor text is how you tie pillar pages to supporting content.

How to Audit Internal Anchor Text

Use a site crawler (like Screaming Frog or Sitebulb) to extract all internal links and their anchor text. Export the data and look for:

• Pages that receive many internal links but with generic anchors (“learn more,” “see here”)

• Important pages that receive few or no internal links

• Multiple pages linking to different URLs with the same anchor text

Fix these issues systematically, and you’ll give Google clearer signals about your site’s structure and topical focus.

Anchor Text in the Age of AI: From Links to Citations

We touched on this earlier, but it’s worth going deeper. The rise of AI search engines has created a parallel system where the principles of anchor text still apply—just in a different form.

In traditional search, the signal chain looks like this:

Another site’s anchor text → Google → Your page ranks for that keyword

In AI search, the signal chain looks like this:

Your content’s structure and clarity → AI model’s training/retrieval → Your page gets cited in AI answers

The difference is who controls the framing. In traditional search, other sites choose your anchor text. In AI search, the AI model chooses how to describe and cite you—based on what it finds on your page and across the web.

What Drives Citations in AI Answers?

Analysis of how LLMs cite sources shows that several factors influence whether and how an AI model cites your content:

Content depth and specificity. Pages that go deep on a topic with original data, specific examples, and clear structure are cited more often than surface-level content. This parallels anchor text in traditional SEO: pages that earn keyword-rich anchors tend to be the ones with the most comprehensive coverage.

Source authority. AI models tend to cite domains they “trust”—sites with strong domain authority, established expertise, and frequent appearances in training data. This is the AI equivalent of earning backlinks from authoritative sites.

Content format. Certain formats—comparison pages, how-to guides, data studies, and listicles with clear structure—tend to get cited more frequently. This suggests that the same content attributes that attract links (and diverse anchor text) in traditional SEO also attract AI citations.

Brand recognition. Brands that are mentioned frequently across the web are more likely to be cited by name in AI responses. This is the direct parallel to branded anchor text—the more recognizable you are, the more often models use your brand name in their answers.

How to Monitor AI Citations with Analyze AI

If you want to treat AI citations with the same rigor you bring to anchor text analysis, you need a tool designed for the task.

In Analyze AI, the Sources section shows every URL that AI platforms cite in your space. You can see which of your pages are being referenced, which competitor pages are being cited, and which domains models rely on most.

This data lets you answer questions that mirror anchor text analysis:

• “Which of my pages are being cited?” — the AI equivalent of “which pages are earning backlinks?”

• “What context are models using when they cite me?” — the AI equivalent of “what anchor text are people using?”

• “Where are my competitors getting cited but I’m not?” — the AI equivalent of “where are competitors earning links that I’m missing?”

You can also use the Prompts dashboard to track specific queries that matter to your business. Analyze AI monitors how AI models respond to these prompts daily, so you can see which brands appear, which sources get cited, and how the answers change over time.

The Crossover: When Traditional SEO and AI Search Work Together

Here’s the key insight: optimizing for one channel strengthens the other.

Pages that earn diverse, natural backlinks with descriptive anchor text in traditional SEO tend to also get cited frequently in AI answers. That’s because the same attributes drive both outcomes: depth, authority, clarity, and brand strength.

Similarly, pages that get cited in AI answers often see improvements in traditional search performance. AI citations are, in effect, a form of brand mention and source validation that reinforces your topical authority.

This is why at Analyze AI, we believe SEO and GEO are complementary. You don’t need to choose between optimizing for Google and optimizing for ChatGPT. The fundamentals—great content, strong brand, clear structure—serve both.

The practical move is to track both channels in parallel. Use your existing SEO tools to monitor backlinks and anchor text. Use Analyze AI to monitor AI citations and brand visibility. Then look for patterns: pages that perform well in one channel but poorly in the other are your biggest opportunities.

The AI Traffic Analytics report in Analyze AI connects citations to real traffic. You can see which AI engines send sessions, which landing pages receive them, and how the trend changes over time. This closes the loop from “AI citation” (the parallel to anchor text) to actual measurable traffic.

Should You Actively Build Links With Specific Anchors?

After everything we’ve covered, let’s address the question directly: should you try to build links with specific anchor text?

Our answer: no, with one exception.

Why Not?

1. It’s risky. Google’s Penguin algorithm was built to detect anchor text manipulation. Building links with exact-match anchors is one of the fastest ways to trigger a penalty—especially if the links come from low-quality sources.

2. It’s hard to do legitimately. The only white-hat link building tactic where you typically control anchor text is guest blogging. And even there, using exact-match anchors in your bio or contextual links looks suspicious if done repeatedly.

3. Topics matter more than keywords. Pages rank for hundreds of keywords, not just one. Optimizing your anchor text for a single keyword ignores the vast majority of queries that send traffic to your pages. It’s a narrow strategy in a broad landscape.

4. The data shows weak correlations. As we discussed, the correlation between keyword-rich anchors and rankings is weak. Other factors—content quality, overall backlink authority, user experience—have a much bigger impact.

The Exception: Internal Links

The one place where you should be deliberate about anchor text is your internal links. You control them. You can update them anytime. And they carry no penalty risk.

Use descriptive, keyword-relevant anchor text for internal links. Vary the phrasing across pages. Map each target keyword to one page and link consistently.

This is low-risk, high-upside work that most sites neglect.

Final Thoughts

Anchor text is a fundamental concept in SEO—but it’s often misunderstood. The early days of Google made it seem like anchor text was the key to rankings. The Penguin era made it seem like something to fear. The truth is somewhere in between.

Anchor text is a real ranking signal, but a modest one. It matters more for internal links (where you have control) than for backlinks (where you mostly don’t). And the best strategy for earning a natural anchor text profile is the same as the best strategy for everything in SEO: create content that’s worth linking to, build a brand that people recognize, and focus on serving your audience.

The one thing that has changed is the landscape. AI search engines don’t use anchor text—they use citations. But the underlying logic is identical: models cite content that’s deep, clear, authoritative, and well-structured. The pages that earn great anchor text in traditional SEO are the same pages that earn great citations in AI search.

Track both. Optimize for both. And use tools like Analyze AI alongside your existing SEO stack to make sure you’re visible wherever your audience is searching—whether they’re clicking blue links or reading AI-generated answers.

You can check your site’s current authority using our free Website Authority Checker, monitor your keyword rankings, or find new keyword opportunities with the Keyword Generator. And when you’re ready to see how AI models cite your brand, start with Analyze AI.