Blog
Blog topics
The Attensira blog is organized into five topics: AI search visibility, content strategy, analytics and measurement, traditional SEO, and AI commerce. Each topic page lists its posts newest first. A post can sit in two topics, for example a guide to share of voice is both measurement and AI search visibility.
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- AI-crawler fetches of this page in 30 days
- 65
- posts across five topics
- 41
- open on a dated reading from our workspace
- 39 of 41
Which topics does the blog cover?
Five topics, with how many posts each holds. Open a topic for every post in it.
- AI Search Visibility Posts on AI search visibility explain how answer engines such as ChatGPT and Perplexity decide which brands to name and which pages to cite, and how to change it: answer blocks, entity naming, fresh facts, comparison pages and audits. 24 posts
- Content Strategy Posts on content strategy cover writing pages that rank, get quoted by AI answers and sell: answer blocks, sections that survive chunking, comparison pages, passage rewrites and featured snippets. 14 posts
- Analytics & Measurement Posts on analytics and measurement explain how to count search and AI visibility honestly: share of voice as a rate, sentiment that leaves out answers with no opinion, crawler logs, rank tracking and audits. 14 posts
- Traditional SEO Posts on traditional SEO cover the Google work that AI search builds on: backlinks, competitor analysis, rank tracking, featured snippets, knowledge panels, website copy and the common mistakes a site scan finds. 18 posts
- AI Commerce Posts on AI commerce explain how shopping answers in ChatGPT and other assistants choose products, and what stores can do: crawler access, consistent product data, reviews, product copy written for shoppers' needs, and how ads fit in. 3 posts
Which topic pages do AI crawlers fetch?
The topic pages are read by machines as well as people. Over 30 days, AI crawlers fetched the AI search visibility page most and the analytics page least; AI commerce, with three posts, stayed under the reading's floor of 23 fetches, so it is left out rather than shown as zero.
AI-crawler fetches of each topic pagen=891 fetches
| Name | AI-crawler fetches of each topic page | Count |
|---|---|---|
| AI search visibility | 33.8% | 301 |
| Traditional SEO | 32.2% | 287 |
| Content strategy | 24.1% | 215 |
| Analytics and measurement | 9.9% | 88 |
Analyst · reads this workspace's answersAI-crawler fetches, read over the Attensira MCP · · n=891 fetchesWhich post should I read first in each topic?
One post per topic, chosen because it shows the method on real data.
- Read but not named: how to become the sentence AI search writes The gap between being cited and being named, measured on our own pricing page, and how to close it. AI Search Visibility
- Answer blocks: how to structure pages AI search can quote How to write the 40 to 60 word block an engine lifts whole, with before and after versions. Content Strategy
- How to calculate share of voice: formulas, worked examples, pitfalls The formulas worked on real answers from our workspace, and why we report a rate, not a pie. Analytics & Measurement
- Common SEO mistakes: what we found scanning our own 632 pages What a scan of every URL on our own site found, ranked by how often, with the fix for each. Traditional SEO
- ChatGPT shopping optimization: a checklist for store owners The checklist for a store: crawler access, product data, reviews and copy, each sourced to OpenAI. AI Commerce
What else do people ask?
Which topic should I start with?
If you want to know whether AI answers name your brand, start with AI search visibility. If you already know and want to change it, content strategy covers the pages. Analytics and measurement covers how to count it honestly.
Why only five topics?
Because a topic page is only useful when the posts on it belong together. We folded older, narrower tags into these five in October 2026, so each topic page gathers one body of work instead of a handful of near-duplicates.
Are the traditional SEO posts still relevant to AI search?
Yes. Google rankings, backlinks and clear pages feed AI answers too: Google's AI features need a page that is indexed and eligible for a snippet, and AI engines often cite the same pages that rank. The traditional SEO posts say where the two differ.
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