The Evolution of Anchor Text Post Penguin & Now AI-Search World

Anchor text has had a strange journey in SEO.

For years, SEOs treated it almost like a control panel. If you wanted a page to rank for “buy gifts online,” you tried to get links that said buy gifts online. The more exact-match anchors you could collect, the better.

Then Google Penguin changed the game.

The lesson from Penguin was not that exact-match anchor text suddenly became useless. The bigger lesson was that Google could look at the link pattern behind the anchor text and decide whether those links looked natural or manipulative.

Google has continued to improve how it understands links, phrases, context and spam. It has also changed how it treats nofollow, sponsored and ugc links. Now, with AI Overviews and AI Mode, Google can use links while building answers across multiple searches and sources.

So where does anchor text fit now?

Honestly, it is not as simple as “use exact-match anchors” or “never use keywords in anchors.” Modern Google Search looks at a much larger picture: the words in the link, the surrounding text, the destination page, the relationship between pages, the quality of the linking site and the overall link pattern.

This article traces that change from Google’s early anchor-text systems through Penguin, link-spam updates and today’s AI-powered search.

Anchor Text Was Important Long Before Penguin

Before Penguin arrived in 2012, Google already used anchor text to understand pages.

In 2008, Google published guidance explaining that descriptive anchor text could help users and search engines understand linked content. Google said the information it could gather from a site’s content, page titles and anchor text helped it determine relevance. Here is the link:

Google’s 2008 guidance on link architecture and descriptive anchor text

That idea also appears in Google’s older patent work.

Google’s early patent work on anchor text

One useful patent to study is US8380722B2, “Using anchor text with hyperlink structures for web searches.”

The patent describes building an “anchor document” for a destination page. The system could collect anchor text from incoming links and treat those phrases as information about the destination page. The patent also discusses weighting anchor phrases based on their frequency and relationship to the destination. 

US8380722B2 — Using anchor text with hyperlink structures for web searches

That does not mean the patent describes Google’s current production ranking system. A patent shows a possible technology or method, not proof that Google uses every claim in live Search.

Still, it gives us useful historical context.

Google was thinking about anchor text as a source of information about a destination page long before the SEO industry started talking about Penguin.

The Pre-Penguin Era: Exact-Match Anchor Text Became an SEO Weapon

The problem came from how SEOs used that signal.

Suppose a company wanted to rank a page for:

cheap car insurance

A natural link might say:

Compare cheap car insurance options

Another site might simply link with:

cheap car insurance

Neither example looks strange by itself.

The problem starts when hundreds of unrelated websites use almost the same commercial phrase because someone deliberately built those links.

At that point, the anchor text stops looking like a natural description and starts looking like a ranking tactic.

That distinction became central to Google’s webspam fight.

April 2012: Penguin Changes the Link-Building Game

On April 24, 2012, Google announced an algorithm change aimed at webspam. I remember I was working in a SEO agency as an SEO executive when this update caused panic among the search professionals.

Google did not initially call it Penguin. The company described it as a change designed to reduce rankings for sites that violated its quality guidelines through aggressive webspam tactics. Google specifically discussed keyword stuffing and unusual linking patterns. 

Google said the change would affect about 3.1% of English queries to a degree that users could notice. It also said the change would affect other languages, with the impact varying by market.

What Penguin changed about anchor text

Penguin did not simply create a rule that said:

“Exact-match anchor text is bad.”

That would be far too simplistic.

Instead, Penguin made unnatural link patterns much more dangerous.

A website could have exact-match anchors and still have a perfectly legitimate link profile. For example, if a page genuinely covers “blue hiking boots,” some websites may naturally link to it with that phrase.

The problem arises when the backlink profile contains a large volume of commercially focused, repetitive or clearly manipulated anchors.

Penguin therefore pushed SEO away from anchor-text engineering and toward earning links that make sense.

March 2012: Google Was Already Changing Anchor-Text Scoring

There is another important detail that often disappears from Penguin timelines.

Google’s April 2012 report on its March search-quality changes listed both “Tweaks to handling of anchor text” and “Better interpretation and use of anchor text.”

Google said it had turned off a classifier related to anchor text. It also said it had improved systems for interpreting anchor text and determining how relevant a particular anchor might be for a query and website. 

Google was not treating anchor text as a fixed signal. It was actively refining how it interpreted it.

Penguin arrived only weeks later.

So the story is not:

Anchor text → Penguin → anchor text became bad.

A better timeline looks like this:

Anchor text as a relevance signal → improved interpretation → Penguin’s link-spam crackdown → real-time Penguin → broader link-spam systems → semantic and contextual understanding → AI-powered search.

2013–2016: Penguin Becomes More Mature

Google continued to refine Penguin after its 2012 launch.

The major milestone came in September 2016.

On September 23, 2016, Google announced that Penguin 4.0 had become part of its core algorithm. Google made two changes important for link analysis.

First, Penguin became real-time.

Second, Penguin became more granular.

Google explained that Penguin could now adjust rankings based on spam signals rather than affecting an entire site in the old sitewide manner.

Why Penguin 4.0 matters for anchor text

Before this change, Penguin operated through periodic refreshes.

That created a strange SEO cycle.

A site could build bad links.

Google could detect them.

The site could later remove or disavow those links.

Then the site might have to wait for another Penguin refresh before seeing the result.

Penguin 4.0 changed that model.

Google could process Penguin-related signals continuously as it crawled and reprocessed pages.

That made anchor-text manipulation less attractive as a long-term strategy.

If your ranking strategy depended on building thousands of artificial links with commercial anchor text, you could no longer assume that Google would wait for a named Penguin refresh before reassessing those links.

2019: Nofollow Stops Being a Simple “Ignore This Link” Instruction

September 10, 2019 brought another major change to Google’s link system.

Google introduced:

• rel=”sponsored”
• rel=”ugc”

It also changed how rel=”nofollow” worked.

Previously, Google generally treated nofollow links as something it would not count as a ranking signal. Google moved to a hint model, where nofollow, ugc and sponsored could provide information that Google’s systems could use when analyzing links. 

That change matters for anchor text because Google explicitly said links contain useful information, including the words within links that describe the content they point to.

Google also said its systems could use links to better understand unnatural linking patterns. 

The bigger lesson

Google was no longer treating links as simple on/off ranking votes.

A link could carry information about:

• The destination
• The relationship between the sites
• The type of link
• The words used in the link
• Whether the link looks natural
• Whether the link comes from UGC or advertising
• Whether the link may represent an endorsement

That is a much richer model than:

follow = good

nofollow = ignored

2021: Google Launches Another Link-Spam Update

In July 2021, Google launched a new link spam update.

Google said the update would improve its ability to identify and nullify link spam across multiple languages. It specifically discussed affiliate links, sponsored content and guest posts. 

Google’s message was clear: earning links naturally remained fine, but deliberately acquiring links to manipulate rankings remained a problem.

This shifted the SEO conversation further away from individual anchor phrases.

Instead, SEOs needed to think about the whole link relationship.

2022: SpamBrain Takes Link Analysis Further

December 2022 brought one of the most important post-Penguin developments.

Google launched the December 2022 link spam update and said it was using SpamBrain, its AI-based spam-prevention system, to neutralize unnatural links. 

Google said SpamBrain could detect sites that:

• Buy links
• Sell or pass outgoing links
• Participate in unnatural link networks

The key point for anchor text is what Google did with those links.

It did not promise a better way to recover the ranking benefit after removing the links.

Google later explained that when a link-spam system removes the effect of spammy links, the ranking benefit those links previously generated is lost. 

That makes modern link building very different from the old Penguin era.

The goal is no longer to build a large collection of keyword-rich links and then clean up the profile if something goes wrong.

The better strategy is to earn useful links in the first place.

2024: Google Broadens Its Fight Against Manipulative Links

Google’s March 2024 core update came with several new spam policies and a broader effort to improve the quality of Search.

The important point here is that Google no longer needs a separate Penguin-style named algorithm for every link-spam improvement.

Google now has broader spam systems that operate continuously.

That makes the modern question less about:

“Did Google release another Penguin update?”

and more about:

“Can Google’s systems identify this link pattern as natural, useful and legitimate?”

That is a much harder question to game.

Google’s Current Anchor-Text Guidance Is Surprisingly Simple

Google says good anchor text should be:

• Descriptive
• Reasonably concise
• Relevant to the page where the link appears
• Relevant to the page receiving the link
• Understandable without relying on vague wording

Google also advises site owners not to cram every keyword related to the destination into the anchor.

That is a big departure from the old mindset.

Google does not say “never use keywords”

This distinction deserves attention.

Google does not say that keyword-containing anchor text is automatically bad.

A descriptive anchor can naturally contain the target topic.

For example:

learn about technical SEO audits

can make perfect sense when the destination actually explains technical SEO audits.

The problem starts when every link to the page uses the same commercial phrase, especially when the links come from unrelated or paid sources.

So the modern rule is not:

Never use exact-match anchors.

It is closer to:

Use the words that naturally tell readers what they will find after the click.

Anchor Text Is Also Part of Google’s Wider Understanding of a Page

Modern Search does not need to depend on one signal.

Google can combine information from the destination page, the linking page, the surrounding words, headings, titles and other signals.

Google’s current documentation says anchor text helps users and Google understand the linked page. 

This is why surrounding context matters.

Consider these two links:

Click here

and:

Google’s guide to internal linking

The second anchor gives Google useful information immediately.

Now consider:

Google’s guide to internal linking for large ecommerce websites with thousands of products

That may give more information, but it can also become unnecessarily long.

Google’s current guidance therefore favors descriptive and reasonably concise anchors.

Google Can Also Use Anchor Text Outside the Destination Page

Here’s an interesting detail that shows why anchor text still matters.

Google’s documentation on title links says that when Google cannot access a page’s content, it may rely on information from other sources, including anchor text from other websites, when generating the title link. 

Google says title links can draw from several sources, including:

• The <title> element
• The main visual title
• Headings
• Page content
• Anchor text on the page
• Text within links pointing to the page
• Structured data

That tells us something important.

Anchor text has not disappeared.

Google still uses link text as one piece of information when it tries to understand and represent pages.

The difference is that Google now has many more sources of information.

The Patent Trail: From Anchor Phrases to Context

Google’s patent portfolio provides another useful way to understand the technical direction, although patents should never be treated as proof of Google’s current live algorithm.

Phrase-based searching

Google’s US7599914B2, “Phrase-based searching in an information retrieval system,” has a priority date of July 26, 2004.

The patent describes systems that use phrases to index, retrieve, organize and describe documents. It also discusses identifying related phrases and using phrases for retrieval and ranking. 

US7599914B2 — Phrase-based searching in an information retrieval system

This matters because search engines do not have to treat a phrase as an isolated keyword.

They can connect phrases with related concepts and documents.

That idea fits the broader evolution of Search from literal keyword matching toward semantic understanding.

Anchor documents

The earlier US8380722B2 patent takes the idea directly into anchor text.

It describes collecting incoming anchor phrases into an “anchor document” associated with a destination page and using those phrases as information about that destination. 

US8380722B2 — Using anchor text with hyperlink structures for web searches

Again, don’t read this as “Google definitely uses this exact system today.”

Instead, it shows that Google’s research has long treated links as textual evidence about other documents.

That idea remains relevant in today’s search systems.

The Move From Anchor Text to Link Context

This is probably the biggest conceptual change in the entire story.

Old-school SEO often focused on the clickable words alone.

Modern search can look at the whole environment around the link.

Imagine this sentence:

We tested five carpet cleaning products for pet urine stains and compared their drying time.

A link on pet urine stains to a relevant guide makes sense.

Now imagine:

Our company offers pet urine stains, carpet cleaning products, SEO services, cheap flights and business loans.

Even if one of those phrases links to a carpet-cleaning page, the surrounding content tells a very different story.

Google has patents and documentation that show interest in context around links.

For example, Google’s US9305099B1 patent describes ranking methods that can use information associated with links, including words before and after links, words in anchor text and the quantity of words in the anchor. 

US9305099B1 — Ranking documents based on user behavior and/or feature data

Once again, this is patent evidence, not a statement that Google currently uses every described mechanism.

Still, it supports a broader point: the context surrounding a link can provide useful information beyond the anchor phrase itself.

What AI Search Changes

Now we reach the interesting part. AI search does not eliminate links. It changes the job links perform.

AI Mode and AI Overviews can use a technique called query fan-out, where the system issues multiple related searches across different subtopics and data sources. 

That means a modern search system can do something like this:

User asks:

What is the best carpet cleaner for pet urine in a commercial hotel?

The system may need information about:

• Carpet cleaning
• Pet urine
• Commercial carpets
• Hotel cleaning
• Product performance
• Odor removal
• Drying time
• Safety
• Professional cleaning practices

It can then search across related subtopics and identify supporting pages.

That is very different from the old model of matching one query to one page.

Anchor Text in AI Overviews and AI Mode

There are no additional technical requirements or special optimizations required for inclusion in AI Overviews or AI Mode. You should continue following the SEO fundamentals. 

AI features need pages that can be crawled, indexed and shown in normal Search. It also recommends making important content available in text and making pages easy to discover through internal links. 

So internal linking is still useful.

And anchor text still helps describe those links.

The change comes from the amount of context available around the anchor.

AI systems can process:

• The anchor
• The sentence around it
• The section heading
• The surrounding paragraph
• The destination page
• Related pages
• The site’s overall topic
• Other sources discussing the same subject

That makes it harder to manipulate the system with one carefully chosen phrase.

AI Search Makes Topical Consistency More Important

Think about a site with 500 links pointing to one page.

If all 500 links say:

best SEO company

that tells Google one thing.

But if the links naturally use phrases such as:

• SEO agency
• technical SEO services
• SEO consulting
• search optimization company
• SEO strategy
• local SEO agency
• organic search services
• SEO experts

Google gets a broader set of textual descriptions.

That does not mean you should deliberately create a “natural anchor-text ratio.”

You should not manufacture those variations simply to make a backlink profile look natural.

The better approach is to let different websites describe your page in their own words.

That creates genuine language diversity because different writers have different reasons for linking.

Exact-Match Anchor Text Still Has a Place

This is where some modern SEO advice goes too far. You do not need to panic every time you see an exact-match anchor.

Suppose a page targets:

how to clean a wool carpet

A relevant website may naturally link to it using:

how to clean a wool carpet

That is perfectly understandable. The phrase accurately describes the destination.

The problem is manipulative repetition and link acquisition. A useful way to think about it is:

Anchor relevance = useful

Anchor manipulation = risky

Those are not the same thing.

Branded Anchors Became More Useful After Penguin

Branded anchors often make sense because real people naturally link to companies and websites by name.

Examples are:

• Nike
• Google
• HubSpot
• Ahrefs
• YourCompany.com
• Read the Google guide

They tell users who or what they are about to visit.

However, branded anchors do not magically make a link safe.

A paid link from a low-quality site can still violate Google’s policies even if the anchor says only the brand name.

Google evaluates the relationship and circumstances around links, not just one phrase.

Generic Anchors Are Not Automatically Bad

You will often hear SEOs say:

“Never use generic anchors like click here.”

That advice is too absolute.

Google’s own documentation recommends descriptive anchors, so a specific description usually gives users more information.

Still, a phrase such as:

read the full report

can make sense in a sentence.

The issue is that generic anchors provide less information about the destination.

So, where possible, give the reader a useful description.

Instead of:

Click here

you might write:

Read our carpet cleaning statistics

The second version helps both the reader and the search engine understand the destination.

Internal Anchor Text Matters Too

Anchor-text discussions often focus on backlinks.

That misses half the picture.

Internal links help Google discover pages and understand relationships between pages. Google’s current SEO guidance recommends making pages easy to find through internal links, including for Google’s AI search experiences. 

That makes internal anchor text particularly useful for large sites.

Imagine a website with separate pages about:

• Carpet cleaning
• Carpet stain removal
• Pet urine removal
• Commercial carpet cleaning
• Carpet cleaning products
• Carpet cleaning equipment

You can use internal links to show how those topics connect.

For example:

Learn how to remove pet urine from carpet

can link to a dedicated pet urine guide.

That anchor tells the reader what they will find.

It also gives Google another textual clue about the destination.

Anchor Text and AI Search: What You Should Do Now

The modern approach is much simpler than many SEO tools make it sound.

1. Write anchors for people first

Ask yourself:

If I removed the link, would these words still make sense as part of the sentence?

If yes, you probably have a reasonable anchor.

2. Describe the destination accurately

The anchor should give readers a good idea of where the link goes.

If the destination explains commercial carpet cleaning, an anchor such as:

commercial carpet cleaning guide

makes sense.

An anchor such as:

best carpet cleaner

does not, unless the page actually covers that topic.

3. Stop chasing exact-match percentages

There is no official Google rule that says your backlink profile needs a particular percentage of:

• Exact-match anchors
• Partial-match anchors
• Branded anchors
• Naked URLs
• Generic anchors

Be careful with SEO tools that present those percentages as universal targets.

Google has never published a magic anchor-text distribution.

4. Let third parties choose natural wording

If someone genuinely wants to link to your research, don’t force them to use your preferred keyword.

A journalist might use your company name.

A blogger might describe the research.

A forum user might paste the URL.

Another publisher might quote the study title.

That variation is normal.

5. Build pages worth referencing

This is the part that matters most.

If you publish original research, useful tools, strong data, expert commentary or genuinely helpful guides, other writers have a reason to link to you.

That gives your anchor profile a natural shape.

What Not to Do in 2026

You know the old tactics.

Some still circulate because they worked years ago.

Avoid strategies such as:

• Buying large volumes of keyword-rich backlinks
• Requiring publishers to use an exact anchor
• Creating private link networks
• Publishing large volumes of low-quality guest posts for links
• Stuffing internal links with repetitive commercial phrases
• Creating pages purely to manufacture anchor-text variations
• Using irrelevant websites to create “topical” anchors
• Treating nofollow or sponsored attributes as loopholes
• Creating AI-generated content solely to produce pages that can host links

Google’s spam systems continue to target artificial manipulation, and its SpamBrain system specifically works to identify and neutralize unnatural links. 

The Anchor Text Timeline

Here is the evolution in one view.

Date	Development	Why it matters for anchor text
2004	Google patent work on phrase-based search	Shows Google’s long-running interest in phrases and semantic relationships
2008	Google documents descriptive anchor text	Confirms anchor text as useful information for users and search engines
March 2012	Google improves anchor-text interpretation	Shows Google was refining anchor relevance before Penguin
April 24, 2012	Webspam update / Penguin	Makes manipulative linking much riskier
September 2016	Penguin 4.0	Penguin becomes real-time and more granular
September 2019	sponsored and ugc introduced	Google moves link attributes toward a hint-based model
July 2021	Link Spam Update	Google improves detection and nullification of link schemes
December 2022	Link Spam Update + SpamBrain	AI-based systems begin neutralizing unnatural links at scale
March 2024	Core update + new spam policies	Google broadens its systems for detecting search manipulation
2026	AI Overviews + AI Mode	Search uses AI systems and query fan-out to connect users with supporting sources

Google did not gradually make anchor text irrelevant.

Google made it harder to manipulate.

At the same time, Google improved its ability to understand what a link means.

What Changed After Penguin?

The biggest change was philosophical.

Before Penguin

Many SEOs asked:

What anchor text will help this page rank?

After Penguin

The better question became:

Does this link look like something a real person would create?

In today’s AI-search world

The question becomes broader:

Does this link make sense within the topic, context and relationship between these pages?

That is a much better way to think about anchor text in 2026.

The Future of Anchor Text

Anchor text is unlikely to disappear.

Links remain fundamental to how the web connects information, and Google continues to recommend crawlable, descriptive links. Its current AI-search documentation also says internal links remain useful for helping Google find important content. 

What has changed is the amount of information Google can process around those links.

A search system can now consider a link as part of a much larger information network.

• The anchor tells Google something.
• The sentence tells Google something.
• The surrounding section tells Google something.
• The destination page tells Google something.
• Other pages linking to the destination tell Google something.

And the site’s overall topic provides another layer of context.

So, frankly, trying to win with one perfect anchor phrase makes less sense than it did 15 years ago.

Final Takeaway

The history of anchor text is not a story about Google killing keyword-rich links.

It is a story about Google becoming better at understanding why a link exists.

Penguin attacked aggressive webspam.

Penguin 4.0 made that system real-time and granular.

The 2019 link-attribute change gave Google more information about the nature of links.

The 2021 and 2022 link-spam updates pushed Google’s systems further toward identifying and neutralizing artificial links.

Then AI-powered Search changed the wider environment again.

Google’s AI Overviews and AI Mode can explore a question across multiple related searches and surface supporting pages. 

That makes contextual relevance increasingly important.

So do you still need to care about anchor text?

Absolutely.

But you should stop treating it like a keyword-placement trick.

Write anchors that tell people what they will find. Keep them concise. Make them fit the sentence. Link to genuinely relevant pages. Let legitimate publishers describe your content naturally. And, above all, build pages that people have a real reason to reference.

That is the direction anchor text has taken since Penguin.

And it is also the direction that makes the most sense in an AI-search world.

Also See:

SEO Schema Guide	Beginners Guide To GEO
How To Find SEO Keywords	Guide to SEO Management
Selling Links? Here is What You Should Know	Listicle Link Building
List of the best Link Building Outreach Software	Brand Mentions Vs Backlinks
Best AI Internal Linking Tools	August 2026 Spam Update
Omega Google Indexer Review	Commodity vs Non-Commodity Content