SEO
Online Reputation Management: A Beginner’s Guide
Has someone written something about your business online that’s misleading, inaccurate, or just downright nasty?
If you’re worried this could impact your business, you’ll need to start online reputation management (ORM). But where should you start with ORM? And what the heck is it?
In this beginner’s guide, I’ll explain what online reputation management is, why it’s important, and how you can manage your business’s reputation effectively online.
Online reputation management is the process of monitoring, maintaining, and positively influencing the perception of your business across the Internet using digital marketing tactics.
Although ORM may seem similar to digital PR, it focuses more on responding to customers’ reviews and correcting misleading information that could negatively impact your business’s reputation.
Online reputation management shows customers their opinions matter and encourages them to contact you directly if they have an issue.
ORM usually focuses on Google, websites, and social media—because that’s where people leave reviews. But, as we can see below, the emergence of LLMs adds further complexity into the mix.
If we zoom in, it’s clear that managing your online reputation is actually even more nuanced than this.
You’ve probably noticed that almost everything feeds back into Google. Google uses SERP features to highlight important content from third-party sites, such as social media, within its search results.
So if there’s a bad review about your company on any of these platforms, it could be pulled into Google’s search results.
Sidenote.
Despite recent headlines, Google is still at the core of our online experience, and with 95.32% of people using it on mobile to search, managing your online reputation matters the most here.
ORM is important because, if done right, it can help you win back potential customers and protect your business’s sales and revenue.
It’s also important because:
- Certain online places hold a disproportionate influence
- It’s never been easier or faster to put a review online
- Responding to customers’ feedback builds trust and credibility with your brand
Let’s explore these concepts further.
Certain online places hold a disproportionate influence
When people think of online reviews, they think of Google reviews first. There’s a reason for this—Google has made it ridiculously easy to leave a review for any business, making them an important focus for ORM.
Often, all you have to do is search for the brand and click the “write a review” button—right from the search results.
This star rating also shows on Google maps. These ratings can make or break a business.
I held a quick poll on LinkedIn to confirm whether this was true, and this was confirmed:
Maintaining a good star rating is vital for customer-facing businesses like restaurants or hotels and anyone with a small business.
For example, someone looking for a restaurant can filter Google Maps results to show only businesses with a specific rating.
Put yourself in the shoes of your customers who notice a terrible review—this might be the journey they go through:
TLDR: If your business doesn’t have a good star rating on Google, you’ll miss out on potential sales due to your online reputation.
In addition to Google reviews, you may have noticed that Reddit has recently started to appear more frequently in Google searches. This is due to Google adding the new discussions and forums search feature to the search results.
Here’s what it looks like:
This feature highlights forum results from sites like Reddit and relevant forums in the search results where “diverse personal experiences” are considered beneficial.
The issue for ORM is that these personal experiences could pose a reputational threat to your business, as they can be highlighted in the search results, as in this example, from a UK broadband provider.
A quick check of Ahrefs’ Site Explorer shows that Reddit URLs with the word “review” that rank number one in Google have skyrocketed since last year. This means Reddit is influencing review keywords more than ever before.
This means you can’t afford to ignore platforms like Reddit anymore for online reputation management. At the very least, you’ll need to monitor and respond to conversations there.
It’s never been easier or faster to put a review online
As we’ve already seen, creating a negative review is now easier and quicker than ever before. Anyone can leave a bad review in minutes by Googling a brand’s name and then selecting one of the following:
- Google local reviews
- 3rd party review sites e.g., Trustpilot
- UGC sites like Reddit, Quora
- And many more!
Here’s an example of a guy who went to a restaurant, didn’t like the food, wrote a negative Google review, and then made a viral TikTok video.
After he placed the review, the restaurant owner responded by sending him a meeting invitation for a fight in the car park at 3 a.m.
In this example, the restaurant’s name wasn’t mentioned. Still, the fact that it got 2.1 million likes shows the reputational damage this kind of content can do.
Sidenote.
Hopefully, it goes without saying that sending a meeting request to your customers for a fight in a car park following a negative review isn’t the best way to manage your reputation online.
Responding to customer’s feedback builds trust and credibility with your brand
Leaving negative reviews without responses can suggest that your business doesn’t care about its customers, so it’s really important for ORM to respond when there’s a negative comment.
Here’s an example of where I complained about service at a restaurant and then left a negative review.
What made my review experience different was that the business contacted me with a comment to discuss further and followed up with an email.
Returning to their reviews on Google now, I can see that this business has made a decent effort to respond to almost every comment on Google reviews—good and bad.
Because they replied, I would consider going back there, but if they didn’t, I probably would have written them off completely.
In other words, responding to customers shows a commitment to customer satisfaction and can help limit damage if a negative incident occurs. It can also help attract new customers and retain existing ones.
It takes 20 years to build a reputation and five minutes to ruin it. If you think about that, you’ll do things differently.
If you want to improve your online reputation, start by doing these five things:
- Check the 1st page on Google for reputational threats.
- Find popular branded searches… and create content to address those searches.
- Ask for feedback from your customers… and take action.
- Promote fair reviews on big authority sites.
- Set up brand alerts for Reddit and websites.
1. Check the 1st page on Google for reputational threats
ORM often starts with a quick search on Google to see how your brand is represented in the search results.
For a brand search, you should own all the first-page results, or they should at least portray your brand positively.
Here’s an example of a UK broadband provider that doesn’t own all of the top 10 results:
These highlighted results could pose a reputational risk to this company.
If we click on the Trustpilot review, we can see that 92% of users have given this company a 1-star rating—impressively bad.
Although many companies won’t have this level of negative sentiment against their brand, it’s important for online reputation management to be aware of the status of the first page of Google for your brand.
Sidenote.
When a review site like this one ranks in the top 10, it’s usually because of a negative reputation issue. A fun way to check if any third-party review sites are impacting a website’s reputation is to do a blank search in Keywords Explorer and then add the third-party review site to the Target filter.
So far, we’ve easily identified some obvious brand weaknesses, but to go further, we need to do a SERP SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis on other brand-related keywords.
Although this may seem like a boring business school 101 exercise, it’s the fastest way to determine what to focus on from a reputational standpoint.
Here’s how I’d do this using Keywords Explorer’s SERP Overview.
1. Search for “your brand + review”
2. Label each search result as a strength, weakness, opportunity, or threat
Once you’ve done this for your brand and brand + review(s), you’ll know the degree of risk for these keywords.
2. Find popular branded search terms…then create content to address those searches
Some Google SERPs may have results that could influence your brand narrative in the wrong way.
Here’s an example of how we addressed this at Ahrefs for the keyword “ahrefs affiliate program.”
Rather than leaving a question like “Does Ahrefs have an affiliate program?” unanswered or letting third-party sites answer it, Ahrefs’ CMO, Tim Soulo, decided to take matters into his own hands and write a blog post about the Ahrefs affiliate program to answer the question once and for all.
The result was that the new article ranked number one for this query in the space of a year. Tim also followed it up with a LinkedIn post on Ahrefs’ affiliate program, which also started ranking.
Within a year, all of the competitor results were displaced, and now Ahrefs owns most of the SERP for this keyword (shown in yellow).
In short, the trick here is to:
- Identify a branded keyword that poses a potential reputational risk (or that you want to control the SERP for)
- Fill the gap with your content – As Tim did by creating a blog about the Ahrefs affiliate program
- Back it up with 3rd party authority sites or related onsite content – As Tim did with the LinkedIn post and our authors did with the supplementary blog content
3. Ask customers how to improve your products and services
Asking for customer feedback is one of the most important things you can do to understand how to improve your business and proactively manage your online reputation
But you’d be surprised how few companies do this regularly. At Ahrefs, we get feedback in three different ways:
- Canny.io, our product feedback platform
- UGC platforms like Reddit
- From our customer support platform
Our Ahrefs canny.io board allows customers to share feature suggestions to help improve our product.
This is important because it helps our customers be part of the journey and invest in the product. On the platform, customers can upvote their favorite feature requests or add their own suggestions.
Another way Ahrefs gets feedback is through UGC platforms like Reddit. Impressively, our CMO, Tim Soulo, has asked Reddit for feedback for over eight years.
It’s no secret that sometimes feedback can be challenging to read, but it’s a necessary process for improving your service.
We also collect feedback from our customer support team and monitor customer sentiment through Intercom.
We also have a feedback channel on Slack that is dedicated to highlighting customer feedback—good and bad.
4. Promote fair reviews on big authority sites
Sometimes, big authority sites will write something about your brand that’s unbalanced, outdated, or inaccurate. This can potentially mislead customers or damage your online reputation.
If this happens, you have a few options available:
- Contact the author and ask them to correct the information – usually the best option
- Build links to other more positive results in the SERP to try to displace that result – use as a last resort
Here’s an example from Forbes for an Ahrefs review page.
One criticism from the review was that Ahrefs doesn’t have a free trial. They haven’t mentioned Ahrefs Webmaster Tools, which gives website owners free limited access to Site Explorer and Site Audit.
Another criticism was that Ahrefs “wasn’t competitively priced.” Since the review was written, we have introduced a new starter plan that is only $29 per month—so it seems unfair to say this now. This article is a good target for our own ORM efforts.
You should monitor these things on big authority sites that mention your brand. Ensure you’ve set up your brand alerts to keep track of these reviews.
5. Set up brand alerts for Reddit and websites
We’ve already established that Reddit and third-party websites are essential places to monitor for ORM. So, how can you monitor them?
I use a tool called Feedly to monitor important Reddit threads and Google News related to Ahrefs.
This is one of the best ways to monitor this type of information. You can even track newsletter mentions through the platform.
If you want to track your brand’s web mentions, my favorite tool is Ahrefs’ Alerts. This tool allows you to track conversations on third-party websites.
Here’s how to set this up in Ahrefs Alerts:
- Go to Ahrefs Alerts > Mentions > + Add Alert
- Create an alert for your company name (e.g., “ahrefs.”)
- Hit Add
To prevent Ahrefs from sending alerts for mentions on your own domain, add your website as an excluded domain. I also recommend adding sites like youtube.com and other sites you prefer not to monitor as well.
How to manage your online reputation on social media
Social media management management is faster-paced than managing your reputation on Google.
As such, you need to:
- Monitor your most important social media channels in realtime
- Set up brand mention alerts
- Endorse any praise you get to influence the brand narrative positively
- Be humble and learn from customer feedback
Here’s how we approach this at Ahrefs.
Monitoring your most important social media channels in real-time
At Ahrefs, we monitor our Twitter—sorry, our “X”—feed in Slack, so the whole team knows how our brand is being discussed on that platform.
Set up brand alerts for social media
In addition to real-time monitoring, you can set up brand alerts to notify you of the most important mentions of your brand.
At Ahrefs, we use Brand24 to monitor our social media presence. It’s a great way to track critical mentions of your brand, analyze sentiment, and create reports.
When you get praise on social media — endorse (and amplify it)
Along with monitoring for potential social media threats, you must endorse and amplify your brand when you get positive feedback from others.
At Ahrefs, we do this on a company and personal level for other team members. It’s easy to do this on LinkedIn. Rather than going for a bland “Like,” try another more spicy option.
Here’s an example of the Ahrefs account doing this—it stands out much more.
Here’s another example where my colleague Shermin Lim shared that she loved a post from a Ahrefs’ workshop attendee sharing positive feedback.
Finally, here’s an example of when SEO superstar Aleyda Solis mentioned my article on SEO challenges in her newsletter.
And Ryan Law was the first to love my comment on the post—thanks, boss!
All this activity helps to ensure that you are putting your best foot forward online.
Final thoughts
If you’re not careful, online reputational threats can eat away at your sales, meaning you could be in for a nasty surprise further down the line.
However, if you’re diligent about online reputation management and monitor, listen to, and respond to customer feedback, you can avoid this situation entirely.
Tools like Keywords Explorer’s SERP overview can help dissect Google’s SERPs and identify reputational threats for your brand. Got questions? Ping me on X.
SEO
How Compression Can Be Used To Detect Low Quality Pages
The concept of Compressibility as a quality signal is not widely known, but SEOs should be aware of it. Search engines can use web page compressibility to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords, making it useful knowledge for SEO.
Although the following research paper demonstrates a successful use of on-page features for detecting spam, the deliberate lack of transparency by search engines makes it difficult to say with certainty if search engines are applying this or similar techniques.
What Is Compressibility?
In computing, compressibility refers to how much a file (data) can be reduced in size while retaining essential information, typically to maximize storage space or to allow more data to be transmitted over the Internet.
TL/DR Of Compression
Compression replaces repeated words and phrases with shorter references, reducing the file size by significant margins. Search engines typically compress indexed web pages to maximize storage space, reduce bandwidth, and improve retrieval speed, among other reasons.
This is a simplified explanation of how compression works:
- Identify Patterns:
A compression algorithm scans the text to find repeated words, patterns and phrases - Shorter Codes Take Up Less Space:
The codes and symbols use less storage space then the original words and phrases, which results in a smaller file size. - Shorter References Use Less Bits:
The “code” that essentially symbolizes the replaced words and phrases uses less data than the originals.
A bonus effect of using compression is that it can also be used to identify duplicate pages, doorway pages with similar content, and pages with repetitive keywords.
Research Paper About Detecting Spam
This research paper is significant because it was authored by distinguished computer scientists known for breakthroughs in AI, distributed computing, information retrieval, and other fields.
Marc Najork
One of the co-authors of the research paper is Marc Najork, a prominent research scientist who currently holds the title of Distinguished Research Scientist at Google DeepMind. He’s a co-author of the papers for TW-BERT, has contributed research for increasing the accuracy of using implicit user feedback like clicks, and worked on creating improved AI-based information retrieval (DSI++: Updating Transformer Memory with New Documents), among many other major breakthroughs in information retrieval.
Dennis Fetterly
Another of the co-authors is Dennis Fetterly, currently a software engineer at Google. He is listed as a co-inventor in a patent for a ranking algorithm that uses links, and is known for his research in distributed computing and information retrieval.
Those are just two of the distinguished researchers listed as co-authors of the 2006 Microsoft research paper about identifying spam through on-page content features. Among the several on-page content features the research paper analyzes is compressibility, which they discovered can be used as a classifier for indicating that a web page is spammy.
Detecting Spam Web Pages Through Content Analysis
Although the research paper was authored in 2006, its findings remain relevant to today.
Then, as now, people attempted to rank hundreds or thousands of location-based web pages that were essentially duplicate content aside from city, region, or state names. Then, as now, SEOs often created web pages for search engines by excessively repeating keywords within titles, meta descriptions, headings, internal anchor text, and within the content to improve rankings.
Section 4.6 of the research paper explains:
“Some search engines give higher weight to pages containing the query keywords several times. For example, for a given query term, a page that contains it ten times may be higher ranked than a page that contains it only once. To take advantage of such engines, some spam pages replicate their content several times in an attempt to rank higher.”
The research paper explains that search engines compress web pages and use the compressed version to reference the original web page. They note that excessive amounts of redundant words results in a higher level of compressibility. So they set about testing if there’s a correlation between a high level of compressibility and spam.
They write:
“Our approach in this section to locating redundant content within a page is to compress the page; to save space and disk time, search engines often compress web pages after indexing them, but before adding them to a page cache.
…We measure the redundancy of web pages by the compression ratio, the size of the uncompressed page divided by the size of the compressed page. We used GZIP …to compress pages, a fast and effective compression algorithm.”
High Compressibility Correlates To Spam
The results of the research showed that web pages with at least a compression ratio of 4.0 tended to be low quality web pages, spam. However, the highest rates of compressibility became less consistent because there were fewer data points, making it harder to interpret.
Figure 9: Prevalence of spam relative to compressibility of page.
The researchers concluded:
“70% of all sampled pages with a compression ratio of at least 4.0 were judged to be spam.”
But they also discovered that using the compression ratio by itself still resulted in false positives, where non-spam pages were incorrectly identified as spam:
“The compression ratio heuristic described in Section 4.6 fared best, correctly identifying 660 (27.9%) of the spam pages in our collection, while misidentifying 2, 068 (12.0%) of all judged pages.
Using all of the aforementioned features, the classification accuracy after the ten-fold cross validation process is encouraging:
95.4% of our judged pages were classified correctly, while 4.6% were classified incorrectly.
More specifically, for the spam class 1, 940 out of the 2, 364 pages, were classified correctly. For the non-spam class, 14, 440 out of the 14,804 pages were classified correctly. Consequently, 788 pages were classified incorrectly.”
The next section describes an interesting discovery about how to increase the accuracy of using on-page signals for identifying spam.
Insight Into Quality Rankings
The research paper examined multiple on-page signals, including compressibility. They discovered that each individual signal (classifier) was able to find some spam but that relying on any one signal on its own resulted in flagging non-spam pages for spam, which are commonly referred to as false positive.
The researchers made an important discovery that everyone interested in SEO should know, which is that using multiple classifiers increased the accuracy of detecting spam and decreased the likelihood of false positives. Just as important, the compressibility signal only identifies one kind of spam but not the full range of spam.
The takeaway is that compressibility is a good way to identify one kind of spam but there are other kinds of spam that aren’t caught with this one signal. Other kinds of spam were not caught with the compressibility signal.
This is the part that every SEO and publisher should be aware of:
“In the previous section, we presented a number of heuristics for assaying spam web pages. That is, we measured several characteristics of web pages, and found ranges of those characteristics which correlated with a page being spam. Nevertheless, when used individually, no technique uncovers most of the spam in our data set without flagging many non-spam pages as spam.
For example, considering the compression ratio heuristic described in Section 4.6, one of our most promising methods, the average probability of spam for ratios of 4.2 and higher is 72%. But only about 1.5% of all pages fall in this range. This number is far below the 13.8% of spam pages that we identified in our data set.”
So, even though compressibility was one of the better signals for identifying spam, it still was unable to uncover the full range of spam within the dataset the researchers used to test the signals.
Combining Multiple Signals
The above results indicated that individual signals of low quality are less accurate. So they tested using multiple signals. What they discovered was that combining multiple on-page signals for detecting spam resulted in a better accuracy rate with less pages misclassified as spam.
The researchers explained that they tested the use of multiple signals:
“One way of combining our heuristic methods is to view the spam detection problem as a classification problem. In this case, we want to create a classification model (or classifier) which, given a web page, will use the page’s features jointly in order to (correctly, we hope) classify it in one of two classes: spam and non-spam.”
These are their conclusions about using multiple signals:
“We have studied various aspects of content-based spam on the web using a real-world data set from the MSNSearch crawler. We have presented a number of heuristic methods for detecting content based spam. Some of our spam detection methods are more effective than others, however when used in isolation our methods may not identify all of the spam pages. For this reason, we combined our spam-detection methods to create a highly accurate C4.5 classifier. Our classifier can correctly identify 86.2% of all spam pages, while flagging very few legitimate pages as spam.”
Key Insight:
Misidentifying “very few legitimate pages as spam” was a significant breakthrough. The important insight that everyone involved with SEO should take away from this is that one signal by itself can result in false positives. Using multiple signals increases the accuracy.
What this means is that SEO tests of isolated ranking or quality signals will not yield reliable results that can be trusted for making strategy or business decisions.
Takeaways
We don’t know for certain if compressibility is used at the search engines but it’s an easy to use signal that combined with others could be used to catch simple kinds of spam like thousands of city name doorway pages with similar content. Yet even if the search engines don’t use this signal, it does show how easy it is to catch that kind of search engine manipulation and that it’s something search engines are well able to handle today.
Here are the key points of this article to keep in mind:
- Doorway pages with duplicate content is easy to catch because they compress at a higher ratio than normal web pages.
- Groups of web pages with a compression ratio above 4.0 were predominantly spam.
- Negative quality signals used by themselves to catch spam can lead to false positives.
- In this particular test, they discovered that on-page negative quality signals only catch specific types of spam.
- When used alone, the compressibility signal only catches redundancy-type spam, fails to detect other forms of spam, and leads to false positives.
- Combing quality signals improves spam detection accuracy and reduces false positives.
- Search engines today have a higher accuracy of spam detection with the use of AI like Spam Brain.
Read the research paper, which is linked from the Google Scholar page of Marc Najork:
Detecting spam web pages through content analysis
Featured Image by Shutterstock/pathdoc
SEO
New Google Trends SEO Documentation
Google Search Central published new documentation on Google Trends, explaining how to use it for search marketing. This guide serves as an easy to understand introduction for newcomers and a helpful refresher for experienced search marketers and publishers.
The new guide has six sections:
- About Google Trends
- Tutorial on monitoring trends
- How to do keyword research with the tool
- How to prioritize content with Trends data
- How to use Google Trends for competitor research
- How to use Google Trends for analyzing brand awareness and sentiment
The section about monitoring trends advises there are two kinds of rising trends, general and specific trends, which can be useful for developing content to publish on a site.
Using the Explore tool, you can leave the search box empty and view the current rising trends worldwide or use a drop down menu to focus on trends in a specific country. Users can further filter rising trends by time periods, categories and the type of search. The results show rising trends by topic and by keywords.
To search for specific trends users just need to enter the specific queries and then filter them by country, time, categories and type of search.
The section called Content Calendar describes how to use Google Trends to understand which content topics to prioritize.
Google explains:
“Google Trends can be helpful not only to get ideas on what to write, but also to prioritize when to publish it. To help you better prioritize which topics to focus on, try to find seasonal trends in the data. With that information, you can plan ahead to have high quality content available on your site a little before people are searching for it, so that when they do, your content is ready for them.”
Read the new Google Trends documentation:
Get started with Google Trends
Featured Image by Shutterstock/Luis Molinero
SEO
All the best things about Ahrefs Evolve 2024
Hey all, I’m Rebekah and I am your Chosen One to “do a blog post for Ahrefs Evolve 2024”.
What does that entail exactly? I don’t know. In fact, Sam Oh asked me yesterday what the title of this post would be. “Is it like…Ahrefs Evolve 2024: Recap of day 1 and day 2…?”
Even as I nodded, I couldn’t get over how absolutely boring that sounded. So I’m going to do THIS instead: a curation of all the best things YOU loved about Ahrefs’ first conference, lifted directly from X.
Let’s go!
OUR HUGE SCREEN
The largest presentation screen I’ve ever seen! #ahrefsevolve pic.twitter.com/oboiMFW1TN
— Patrick Stox (@patrickstox) October 24, 2024
This is the biggest presentation screen I ever seen in my life. It’s like iMax for SEO presentations. #ahrefsevolve pic.twitter.com/sAfZ1rtePx
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024
CONFERENCE VENUE ITSELF
It was recently named the best new skyscraper in the world, by the way.
The Ahrefs conference venue feels like being in inception. #AhrefsEvolve pic.twitter.com/18Yjai1Cej
— Suganthan Mohanadasan (@Suganthanmn) October 24, 2024
I’m in Singapore for @ahrefs Evolve this week. Keen to connect with people doing interesting work on the future of search / AI #ahrefsevolve pic.twitter.com/s00UkIbxpf
— Alex Denning (@AlexDenning) October 23, 2024
OUR AMAZING SPEAKER LINEUP – SUPER INFORMATIVE, USEFUL TALKS!
A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024
“would I even do this if Google didn’t exist?” – what a great question to assess if you actually have the right focus when creating content amazing presentation from @amandaecking at #AhrefsEvolve pic.twitter.com/a6OKbKxwiS
— Aleyda Solis ️ (@aleyda) October 24, 2024
Attending @CyrusShepard ‘s talk on WTF is Helpful Content in Google’s algorithm at #AhrefsEvolve
“Focus on people first content”
Super relevant for content creators who want to stay ahead of the ever evolving Google search curve! #SEOTalk #SEO pic.twitter.com/KRTL13SB0g
This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
— Parth Suba (@parthsuba77) October 24, 2024
@thinking_slows thoughts on AI content – “it’s very good if you want to be average”.
We can do a lot better and Ryan explains how. Love it @ahrefs #AhrefsEvolve pic.twitter.com/qFqWs6QBH5
— Andy Chadwick (@digitalquokka) October 24, 2024
A super insightful explanation of how Google Search Ranking works #ahrefsevolve pic.twitter.com/Cd1VSET2Aj
— Amanda Walls (@amandajwalls) October 24, 2024
This is the first time I am listening to @aleyda and it is really amazing. Lot of insights and actionable information.
Thank you #aleyda for power packed presentation.#AhrefsEvolve @ahrefs #seo pic.twitter.com/Xe3A9MGfrr
— Jignesh Gohel (@jigneshgohel) October 25, 2024
GREAT MUSIC
First time I’ve ever Shazam’d a track during SEO conference ambience…. and the track wasn’t even Shazamable! #AhrefsEvolve @ahrefs pic.twitter.com/ZDzJOZMILt
— Lily Ray (@lilyraynyc) October 24, 2024
AMAZING GOODIES
Ahrefs Evolveきました！@ahrefs @AhrefsJP #AhrefsEvolve pic.twitter.com/33EiejQPdX
— さくらぎ (@sakuragi_ksy) October 24, 2024
Aside from the very interesting topics, what makes this conference even cooler are the ton of awesome freebies
Kudos for making all of these happen for #AhrefsEvolve @ahrefs team pic.twitter.com/DGzk5FSTN8
— Krista Melgarejo (@kimelgarejo) October 24, 2024
Content Goblin and SEO alligator party stickers are definitely going on my laptop. @ahrefs #ahrefsevolve pic.twitter.com/QBsBuY5Yix
— Patrick Stox (@patrickstox) October 24, 2024
This is one of the best swag bags I’ve received at any conference!
Either @ahrefs actually cares or the other conference swag bags aren’t up to par w Ahrefs!#AhrefsEvolve pic.twitter.com/Yc9e6wZPHn— Moses Sanchez (@SanchezMoses) October 25, 2024
SELFIE BATTLE
Some background: Tim and Sam have a challenge going on to see who can take the most number of selfies with all of you. Last I heard, Sam was winning – but there is room for a comeback yet!
Got the rare selfie with both @timsoulo and @samsgoh #AhrefsEvolve
— Bernard Huang (@bernardjhuang) October 24, 2024
THAT BELL
Everybody’s just waiting for this one.
@timsoulo @ahrefs #AhrefsEvolve pic.twitter.com/6ypWaTGDDP
— Jinbo Liang (@JinboLiang) October 24, 2024
STICKER WALL
Viva la vida, viva Seo!
Awante Argentina loco!#AhrefsEvolve pic.twitter.com/sfhbI2kWSH
— Gaston Riera. (@GastonRiera) October 24, 2024
AND, OF COURSE…ALL OF YOU!
#AhrefsEvolve let’s goooooooooooo!!! pic.twitter.com/THtdvdtUyB
— Tim Soulo (@timsoulo) October 24, 2024
–
There’s a TON more content on LinkedIn – click here – but I have limited time to get this post up and can’t quite figure out how to embed LinkedIn posts so…let’s stop here for now. I’ll keep updating as we go along!
