Insights

SEO and AI search insights and original research

38
articles, studies and guides
5
datasets and templates to download
Every
claim labelled with its source

Guides and studies on how Google and AI tools find, choose and cite businesses, most of them built on data we collected ourselves. Each one answers a single question and shows where its evidence came from.

GetBorvis / Organic visibility
Research library Sample view
08guides
SEO systemsPass
GEO signalsPass
Answer designReview
TechnicalContentAuthorityAI

Each guide answers one specific question, shows where the evidence came from, and explains what is worth doing next. No recycled listicles. No invented ranking secrets.

Common website problems our SEO audits find, and the fix for each

Every audit had a broken link where buyers click and a claim with nothing behind it. Whether a crawler catches each problem, the fix, and the same checks run on our own site.

Read the guide ↗

Leftover template text: how to find placeholder copy, wrong titles and repeated alt text

Another company’s name in a title, theme instructions in published copy, one alt text on every page. Five kinds, the fix for each, and why our own search found 19 false alarms.

Read the guide ↗

Broken links on contact, pricing and signup pages: how to find and fix them

An upgrade button to a 404, a WhatsApp link without a country code, a mislabelled booking button. Six fixes, and what our own link checker got wrong.

Read the guide ↗

Do people search Google in full sentences now? Our Search Console data.

The average US Google query is about 3.5 words. Two of ours are 17 and 23. We publish the actual Search Console rows, zero clicks and page-eight positions included.

Read the guide ↗

How do you spot AI tracking tools in your Search Console?

Long persona questions that recur daily at one impression each and never click. Our own log, six signals, and the regex filters that separate tools from people.

Read the guide ↗

What platforms measure whether AI cites your content?

Otterly, Peec, Profound, Semrush, Ahrefs Brand Radar and Signal AI, checked at source. What each counts, which engines it watches, and when a manual audit wins.

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Rebranded or acquired a business? What to do with the old website.

Our own relaunch, 27 redirect rules, old pages still in Google’s AI report weeks later, and the two rules we got wrong.

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Why does my business show on Maps near the office but disappear in the suburbs we serve?

Our published case study reported an average position of 12.4. That number codes every not-found result as 21. The mean of what was actually observed is 11.23, and neither should replace a coverage map.

Read the guide ↗

Why do our case studies rank for our clients’ names but not for the services we sell?

We audited our own two case studies first and found zero contextual links to the work they demonstrate. Four query classes, a six-field worksheet, and the reasons a client-name ranking can be fine.

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We updated the menu. Why do Google and AI answers still show the old prices?

A guide, not a study. A delivery price and a dine-in price can both be right, so comparability comes before correction. Seven fields a price needs, and who controls which source.

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Can you measure whether your earned media is what AI models cite about you?

Not with the attribution chain being sold. A tracer fact gets closer, and election research shows accuracy and inclusion are different failures.

Read the guide ↗

If a claim sounds certain, the evidence should be visible.

Platform documentation is treated as fact. Vendor research is labelled as research. Observed patterns are presented as interpretation, not dressed up as secret ranking factors.

Why GetBorvis works this way ↗
Initial review

Put this research to work on your website.

Send your website and tell us what you sell. We apply the same checks we use in our studies, and tell you what matters for your buyers.

  1. 01
    The one issue holding the site backNot a list of everything a crawler can flag.
  2. 02
    The evidence behind itWhat we saw, where, and the source we checked it against.
  3. 03
    A next step sized to the problemSometimes a small fix. Sometimes no project at all.
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