Blog topic
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. The methods we use state their denominator and sample size, and treat a change inside the noise as no change.
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Where should I start on analytics and measurement?
The posts to read first, then the Attensira page that does this work for you.
- 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. updated 4 Oct 2026
- AI crawler logs analysis tool: what to use and what the log tells you A month of AI crawler requests to our own site, and how to tell which bots are real. updated 5 Oct 2026
- Prompt tracking Where Attensira reads the questions you track every day and counts who is named, with the sample size. Attensira · product
How does Perplexity say share of voice is measured?
As a pie: your mentions over all tracked brands' mentions. That is one of the two formulas, and the posts in this topic argue for the other, a rate over all answers read, because the pie moves when you add or drop a competitor.
Answer · Perplexityasked
Question: how to measure share of voice in AI answers
Perplexity answered: AI share of voice (SOV) in AI answers measures how often your brand is mentioned versus competitors across a defined prompt set and engines. The core formula is: (your brand mentions) / (total brand mentions across all tracked brands) × 100. … Important nuances: define the denominator consistently (which brands to include), decide on weighting for first mentions, and whether to blend results across engines; these choices greatly affect the SOV value.
Sources cited
- 1llmpulse.ai
- 2authoritytech.io
- 3ranqo.ai
- 4trakkr.ai
- 5studioubique.com
- 6cassieclarkmarketing.com
- +3 more
Not namedAttensira is missing from this Perplexity answer.
Analyst · reads this workspace's answersStored answer, read over the Attensira MCP · · n=1 answer, excerptedWhat have we written about analytics and measurement?
Newest first, with the date each post was last updated.
- Does my website show up in Perplexity? Perplexity publishes no index you can search your site in. Showing up means your page is cited on questions buyers ask. Here is how to check reach and selection without treating one answer as a score. 5 Oct 2026
- How do you buy an AI search service that actually ships fixes? Ten questions to put to any AI search vendor that says it ships fixes, the answers that should worry you, and what you should hold in your hands after week one. updated 4 Oct 2026
- How to audit your brand mentions in ChatGPT, Claude and Gemini A practical audit of how ChatGPT, Claude, Gemini and other engines mention your brand. The questions to ask, the sheet to fill in, how many answers you need, and what our own audit found. updated 4 Oct 2026
- How do you improve organic click-through rate in SEO? Find the pages with impressions and no clicks, fix what the result says before what the page says, and read CTR beside AI Overviews instead of alone. updated 4 Oct 2026
- What should an SEO report include? A report says what was done and what changed. The sections it needs, the formats for audits, competitors and paid search, and a real one-page report for our own site. updated 4 Oct 2026
- What is SEO visibility, and how do you measure it honestly? Visibility scores, impressions, share of voice and citation rate are different measurements. What each one means, and how we read our own site's visibility. updated 4 Oct 2026
- What should you do about zero-click search? Most Google searches now end without a click, and AI assistants never offered one. What changes in your strategy, and what to measure when the answer is the outcome. updated 4 Oct 2026
- How to fix what AI answers get wrong about your brand A wrong AI answer about your brand almost always repeats a page somewhere. Find the claim, trace it to that page, fix the page, then re-read the answer. Our own example, dated. updated 4 Oct 2026
- Brand sentiment tracking in AI answers: how to measure it honestly Most AI answers that name a brand hold no opinion about it. Counting those as neutral buries every real opinion. How to track sentiment in AI answers so the number means something, with three of our own answers scored. updated 4 Oct 2026
- How to check your backlinks with Google, for free Google gives you two free ways to see who links to you, the Search Console Links report and search itself. What each shows, what the Links report leaves out, and a third check most people skip, which pages AI answers cite about you. updated 4 Oct 2026
- AI crawler logs analysis tool: what to use and what the log tells you Log tools separate AI crawlers from human traffic and show which pages bots fetched. Here is what to buy or run locally, what a good report includes, and what no log can prove about citations. updated 5 Oct 2026
- How to do SEO competitor analysis for Google and AI answers An SEO competitor analysis should tell you who wins your buyers' questions, why, and what to do next, on Google and in AI answers. The method, the sheet, and our own head-to-head numbers against the brands that win our category. updated 4 Oct 2026
- How to track SEO rankings without fooling yourself Rank tracking has two sources that disagree, Search Console's average position and a rank tracker's daily check. How to use both, read them correctly, account for AI Overviews, and report rankings without fooling yourself. updated 4 Oct 2026
- How to calculate share of voice: formulas, worked examples, pitfalls Share of voice has three common formulas and two definitions that give very different numbers. The formulas for ads, SEO and AI answers, worked on 4,524 real answers, and the pitfalls that make SOV numbers incomparable. updated 4 Oct 2026
Which other topics might help?
- 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.
- 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.
- 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.
- 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.
What else do people ask?
Why does every number come with a sample size?
Because a rate on ten answers and a rate on a thousand are different findings. Without the count, a reader cannot tell a real change from chance.
Can I compare AI visibility numbers between tools?
Usually not. Tools differ on what counts as a mention, which denominator they use and how often they sample. Compare within one method over time.
What is the most useful single measure?
For AI answers, how often you are named out of all answers read, per engine and per question. It answers whether buyers hear your name.
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