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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 not using MCPs):
1. using 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 (this requires uploading / pasting the reviews in question) / Trustpil0t 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) .
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 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 e.g.
"analyse this 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.