The way to Visualize Ahrefs Knowledge with ChatGPT | Digital Noch

The way to Visualize Ahrefs Knowledge with ChatGPT | Digital Noch

SEOs have entry to a lot information that generally, it’s arduous to know what to do with all of it. I’ve been experimenting with visualizing Ahrefs information utilizing GPT-4, so I believed I’d share the outcomes with you all.

We’ve already launched some AI-enhanced options like search intent, however we made it even higher by including the site visitors share for every intent. Try this write-up from Si Quan for some extra issues we would add.

For the visualizations, you’ll want GPT-4. There’s an API, however you may as well simply use ChatGPT Plus for $20 a month. I’m hoping to deliver many of those visuals to life throughout the instrument, however these items take time and you may create them now. Let me know your favorites and some other use instances you discover that you simply need to see us add!

IMPORTANT

For all these, export the info in UTF-8 format from the report indicated and run the immediate. Observe that your outcomes could differ a bit due to how LLMs work. You might must ask for some changes to get precisely what you need.

Use case:

This lets you see outliers. You probably have some phrases rating higher on Desktop vs Cell, you then would possibly need to take a look at cellular points or Core Net Vitals.

You may see each cellular points and Core Net Vitals in Ahrefs’ Website Audit. You’ll must run Website Audit as cellular and hook up with PageSpeed Insights.

Core Web Vital and mobile usability issues in Ahrefs' Site Audit

Knowledge supply:

Obtain your desktop and cellular rankings from the Overview report in Rank Tracker (keep in mind to decide on the UTF-8 format). Add each information to ChatGPT.

Exporting the data from Ahrefs

Immediate:

Learn these 2 information that comprise desktop and cellular key phrase rankings.

Present me a scatter plot evaluating the desktop and cellular positions for every key phrase.

Label ones which have the largest hole between rankings.

Branded and unbranded organic traffic and volume

Use case:

See the breakdown of site visitors and complete quantity by branded and unbranded phrases. At a look, I can see that almost all of our site visitors comes from unbranded phrases.

Knowledge supply:

Obtain your key phrase rankings from the Natural Key phrases report in Website Explorer (be sure to pick out the UTF-8 file format) and add the file to ChatGPT.

Exporting the data from Ahrefs

Immediate:

Label every key phrase within the “Key phrase” column as branded or unbranded. Then create a pie chart that exhibits the sum of “Present natural site visitors” for each classes.

Additionally create this chart with the sum of “Quantity” for every.

Change in traffic for branded and unbranded terms

Use case:

See in the event you’re gaining or shedding clicks for branded or unbranded phrases between two dates. You have to have examine mode enabled for this to work.

Knowledge supply:

Just like the earlier one, obtain your key phrase rankings from the Natural Key phrases report in Website Explorer and add the file.

Immediate:

Label every key phrase within the “Key phrase” column as branded or unbranded.

Create a visible that exhibits me how the natural site visitors modified general for branded and unbranded key phrases primarily based on the sum of the info for every within the “Natural site visitors change” column.

Histogram showing how long it's been since competing content was republished

Use case:

See the final time competing content material was up to date. If opponents are updating their content material quite a bit, it could actually point out a extra aggressive market.

Knowledge supply:

Enter a competitor’s web site into Content material Explorer and export the record of pages (select UTF-8 because the export format). This will also be achieved with a key phrase or matter.

Exporting the data from Ahrefs

Immediate:

Present me what number of days because the content material was up to date.

Histogram showing how long it's been since competing content was republished

Use case:

See how lengthy backlinks had been reside on common. If you happen to’re shedding lots of backlinks early, you could need to look into the explanation why. Learn our research on hyperlink rot to see lots of the widespread causes.

You may filter the Backlinks report for lots of the widespread explanation why hyperlinks are misplaced.

Backlinks filters for the reason they're lost

Knowledge supply:

Export your hyperlink profile from the Backlinks report in Website Explorer (select UTF-8 because the file format). Add this to ChatGPT.

Exporting the data from Ahrefs

Immediate:

Learn this file and provides me a histogram to indicate the distribution of backlink lifespans.

Line chart with a line for each year showing the seasonal patterns in link acquisition

Use case:

See any seasonal patterns on your acquired hyperlinks. Right here, I see a giant spike in the midst of 2022 and what appears to be a little bit of a spike in November the previous few years.

Knowledge supply:

Just like the earlier one, export your hyperlink profile from the Backlinks report in Website Explorer. Add this to ChatGPT.

Immediate:

Search for seasonal patterns in backlink acquisition.

If you happen to’d choose a heatmap just like the one beneath, use this immediate as a substitute:

Analyze patterns in hyperlink acquisition (e.g., weekdays vs. weekends, month-to-month tendencies) utilizing line charts or heatmaps to establish when most backlinks are acquired.

Heatmap showing days and weeks when the site got more links
Share of voice for each tag group and measured against competitors

Use case:

See which tag teams are robust or weak vs opponents. I can rapidly see we dominate for issues like hyperlink constructing, however we’re weak for the phrases in our basic advertising bucket, most likely as a result of we principally concentrate on search engine marketing.

Knowledge supply:

Export the info from the Opponents – Tags report in Rank Tracker (use UTF-8 format).

Exporting the data from Ahrefs

Immediate:

Present me share of voice by tag and cut up it by competitor as nicely.

Forecasted time series data for organic traffic

Use case:

Forecasting site visitors or different metrics ahead. That is nice for getting buy-in.

Sidenote.

This failed with bigger datasets or a number of opponents, however you possibly can at all times use my search engine marketing forecasting scripts for this as nicely.

Knowledge supply:

Export graph information from the Overview report in Website Explorer. You may select any time-series graph you want (natural site visitors, referring domains, and many others.)

Exporting the data from Ahrefs

Immediate:

Forecast this time sequence information ahead one 12 months

Changes in keyword rankings shown in a scatterplot with winners/losers separated

Lengthy story quick on this one. I had a model that wasn’t pretty much as good as what Marie Haynes got here up with, however I added to her visualization to make it even higher.

Use case:

The chart visualizes winners/losers for key phrase rankings and exhibits me general if I’m doing higher or worse. From this picture, I can see that extra key phrases general are rating worse, however general rankings are up, so the optimistic ones moved up much more than the detrimental ones misplaced.

Knowledge supply:

Obtain your key phrase rankings from the Natural Key phrases report in Website Explorer and add the file.

Immediate:

I used a number of prompts to get the ultimate chart, however they could have the ability to be simplified into one.

Present me a scatter plot that exhibits the modifications from the earlier place and the present place. Embody modifications to a decrease place as inexperienced and modifications to the next place as purple. Embody a legend and trendline.

Add a rely for improved and worsened on the earlier chart. Additionally present me on the chart on common, how a lot did rankings enhance or decline

Take away the averages as they’re. I would like the general common change in rating place as one quantity.

Transfer the common to the fitting aspect of the chart so it’s readable

Anomalies in the traffic graph denoting major shifts such as algorithm updates or website changes

Use case:

Discover anomalies in time sequence information. On this case, a lot of the anomalies line up with main web site modifications and Google algorithm updates.

Knowledge supply:

Export natural site visitors graph information from the Overview report in Website Explorer.

The way to Visualize Ahrefs Knowledge with ChatGPT | Digital Noch Digital Noch

Immediate:

Establish anomalies on this site visitors chart

Share of voice between two time points for each tagged group of keywords

Use case:

This tells me if sure tagged teams are doing higher or worse between the dates.

Knowledge supply:

Export information from the Tags report in Rank Tracker.

Exporting the data from Ahrefs

Immediate:

Present me share of voice over time by tag.

Traffic between two time points for each tagged group of keywords

Use case:

See how site visitors modified for every tag between two dates. We’ve got a greater view for this coming in Rank Tracker that may present the evolution over time.

Knowledge supply:

Just like the earlier one, export information from the Tags report in Rank Tracker.

Immediate:

Present me how site visitors is evolving for every tag.

Search volume and clicks by tag

Use case:

See which teams of phrases have essentially the most quantity vs the clicks that they’re getting. Excessive complete quantity and low clicks means you’ve got quite a bit to work on.

Knowledge supply:

Export key phrases from the Overview report in Rank Tracker. (You may select between desktop or cellular rating information with the toggle).

Exporting the data from Ahrefs

Immediate:

Visualize search quantity and clicks by tag.

Most common SERP features for you and competitors

Use case:

Reveals widespread SERP options for you and opponents that you could be need to goal. If sure schema markup is required however you’re not utilizing it, it could actually result in a simple win.

You may additionally have a problem along with your schema markup. Ahrefs’ Website Audit validates in opposition to each schema.org and Google requirements.

Structured data validation in Ahrefs' Site Audit

Knowledge supply:

Export the info from the Content material Hole report in our Aggressive Evaluation instrument.

Exporting the data from Ahrefs

Immediate:

Present me which SERP options are most typical.

Sidenote.

I might most likely regulate this immediate to separate them out into particular person options moderately than characteristic teams.

Ultimate ideas

I hope this has sparked some concepts for different SEOs on the market. I need to see what you all will create.

Have a cool thought you need to share? Let me know on X or LinkedIn.


#Visualize #Ahrefs #Knowledge #ChatGPT

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