#1 Drafting and replying to Google reviews – responding to feedback boosts your visibility in Google searches in multiple ways:
- Recent engagement shows the business is active and encourages more interactions, more interactions improves rankings.
- Using keywords within reviews reinforces relevance for search queries.
- Google favours businesses that keep their profiles active.
Using a tool like Make or Zapier you can create an automated workflow to draft a response using ChatGPT in your style to incoming reviews, with differing responses based on the review score and then, once reviewed, post them as a reply to Google.
NOTE: It’s important to have a human review step within this process to make sure you double check the draft for accuracy (ChatGPT doesn’t always recognise sarcasm for example!) and tone – how and when to include a human in the AI loop is a subject we talk about in the Campfire workshop.
#2 Using AI to create Meta Descriptions or Alt text for images – when uploading new products to a website often fields like the SEO meta description or Alt text on images gets overlooked as a “nice-to-have” but should be an integral part of content best practice for both SEO and accessibility.
Large Language Models like ChatGPT have got significantly better at describing images and can be tuned to optimise for given keywords.
Most ecommerce platforms have plugins available to help you do this, for example AltText.AI on Shopify. You could also make use of a custom GPT for this purpose like “She Knows Alt Text” at https://chatgpt.com/gpts – combine with automation to create these in bulk.
#3 Review customer feedback using AI to identify areas that need attention and to develop questions for a FAQ section.
Google’s NotebookLM enables users to upload substantial volumes of text and query the content. The current limit is 500,000 words per source or up to 200MB for uploads.
NOTE: Make sure you are anonymising the data you upload so as not to include any Personal Identifiable Information and are following best GDPR guidance.
Once you have the feedback within NotebookLM you can ask it to do a number of tasks:
- Analyse the feedback for any patterns.
- Ask it to identify any product opportunities.
- Create the questions for an FAQ – if you have an existing FAQ you can also upload that, and ask it to review against the feedback you’ve received.
Side note: If you have a good FAQ this is a great starting point to build an AI customer service chatbot…
Campfire is a half-day workshop designed to get you, and your organisation started on adopting AI. For more information and to join us for the next one, visit: www.dorsetchamber.co.uk/campfire/
PS Don’t just take our word for it: 100% of previous attendees have said they’d recommend this workshop to others.
Luke Williams, Campfire trainer and Group Head of AI @ Intergage.