How I'm using LLMs in my SEO work (mostly without 3rd party data)

   By Chris Byrne (6.26 - updated 8.26)

Note I have broken some URLs below.

   Other than sometimes using LLMs to summarise long articles / research (which some might consider lazy and not the optimal way to learn), I am also using Anthropic's Claude or Google's Gemini in my day-to-day work with simple quick prompting in the following ways (mostly without using 3rd party data and without using MCPs) for qualitative data analysis:

1.  using Google Gemini to research the network of websites of a lead generation agency (competing with one of my clients) disguised as what appears to be B2C vendors . Lead generation agencies are not eligible to be listed on the Google Map (aka Google Business Profile), thus we can report their Map profiles to Google & also report "pages that do not deliver promised online or real-life services with intent to mislead or defraud the user" to GOOG using https://search.google.com/search-console/report-spam. This requires identification of one of the lead generation websites first.

2. using Claude to analyse the authenticity & likelihood of incentivisation of competitors' Google Business Profile aka Google Map listings (this requires uploading / pasting the Google Map reviews in question) / Trustpilot reviews and reporting these reviews to Trustpi1ot and GOOG. Fake & undisclosed incentivised reviews are now illegal in the UK, so you can also report them to the UK's Competition and Markets Authority (CMA) .

For Trustpilot review analysis you can use a prompt like “analyse the authenticity & likelihood of incentivisation of following reviews. analyse all reviews and reviewer's profiles on https://uk.trustpilot .com/review/xcvwindows.co.uk for suspicious patterns . do same for all other pages e.g. https://uk.trustpilot .com/review/xcvwindows.co.uk?page=2" .

3. using Gemini to analyse competitors backlink profiles for what are non-editorial (i.e. paid backlinks) which are non-compliant with Google and / or Microsoft Bing guidelines. This involves using 3rd party data. You can use a prompt like:

"analyse following urls and page content to determine if the website is part of a pbn [paste urls]" 

You can report the relevant links to Google & Microsoft.

4. using Claude to analyse websites in the light of Google's relevant UX guidelines for websites in that sector . You can use a prompt like:

"analyse this [ecommerce] website https://www.XXXX .com/ in the light of https://services.google .com/fh/files/events/pdf_retail_ux_playbook.pdf" . 

  All of the above have provided useful feedback and saved time - not all the inference / analysis provided by these tools is correct. With all feedback from these tools you need to check the facts.