Guides
Guides to AI search visibility
Attensira's guides are the long answers to how a brand gets found, named and cited in AI answers: how assistants find and read pages, which crawlers to allow, and how to measure the result honestly. Each guide is a pillar with numbered chapters, built on sourced, dated claims and on data from our own workspace.
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attensira.com workspace · Attensira MCP ·
| Guide | Opens with |
|---|---|
| AI search visibility | 'best GEO tools': 0 of 114 answers cited us |
| AI crawlers | 120,143 crawler requests in 30 days |
| GEO measurement | 0 of 4,194 unbranded answers named us |
Each guide opens with the full reading, from the 30 days to 4 October 2026.
Which guide answers my question?
Four guides, each a pillar with numbered chapters where noted, listed in the order to read them if you are starting out: what an AI visibility platform is, what decides whether an AI answer names you, which crawlers can read your site, and how to tell honestly whether anything changed.
- What an AI visibility platform is (and how it differs from a tracker) An AI visibility platform measures whether ChatGPT and Perplexity name and cite your brand, then helps you change that outcome. How it differs from a tracker and how to evaluate vendors. 0 chapters · updated 2026-10-05
- The AI search visibility guide: get cited by AI How brands get named and cited in ChatGPT, Claude, Perplexity and Google AI answers, what decides each answer, and how to tell whether the work is working. 7 chapters · updated 2026-10-04
- The AI crawler guide: bots, jobs and robots.txt Which AI crawlers fetch your site, what each one is for, and which robots.txt rules cost you citations. Built from operator docs and our own crawler logs. 6 chapters · updated 2026-10-04
- The GEO measurement guide How to measure AI search visibility honestly: what to count, how many answers you need, which questions to ask and how to report it, shown on our own brand. 5 chapters · updated 2026-10-05
Which pages decide an answer like “best GEO tools”?
Over 30 days ChatGPT built its 57 answers to this prompt from ranked lists on other people’s sites; attensira.com was cited in none. This chart ranks them by raw citation count; the AI search visibility guide ranks the same sources by their weight in the answer, which puts xseek.io first, and shows how a brand gets onto those pages.
Citation share by raw citation count · “best GEO tools”n=1,884 citations
| Name | Citation share by raw citation count · “best GEO tools” | Count |
|---|---|---|
| bestgeosoftware.com | 14.3% | 269 |
| sitepoint.com | 8.6% | 162 |
| geosoftwarerankings.com | 7.6% | 144 |
| frictionai.co | 5.1% | 96 |
| elmohq.com | 4.4% | 83 |
| ayzeo.com | 4.0% | 76 |
| attensira.comyou | 0.0% | 0 |
Researcher · Ranks the pages behind each answerDeciding sources, read over the Attensira MCP · · n=1,884 citations in 57 answersWhat does the AI search visibility guide cover?
From how an assistant finds a page to the third-party sources that decide whether it names you, one chapter per step.
- How AI assistants find your pages The agents ChatGPT, Claude, Perplexity and Google use to find a page, what each one feeds, and what our own site's crawler logs show about who really visits. Chapter 1
- Ranking in Google versus being cited by AI Why a page that ranks in Google can be left out of AI answers, and an unranked one cited, with real answers from our own workspace showing both cases. Chapter 2
- Writing passages AI answers can quote How to write a passage an AI answer can lift whole: name the subject, answer first, add specifics. Shown on the sentences Perplexity lifted from our own site. Chapter 3
- Why AI answers cite other sites about you Most pages an AI answer cites are not yours. Which third-party pages decide answers, how to earn an honest place on them, and what our own source map shows. Chapter 4
- Schema and technical access for AI search Which technical work decides whether AI engines can read and cite a page, which schema helps and which does not, and the checks we run on our own site. Chapter 5
- How to measure your AI search visibility A practical way to measure whether AI answers name and cite you: the setup, the weekly read and the traps, shown on the views we use for our own brand. Chapter 6
- AI visibility tactics that do not work The AI visibility tactics with no evidence behind them, from keyword stuffing to AI-only files and fake reviews, and the ones we tried on our own site. Chapter 7
What does the AI crawler guide cover?
The agents, the robots.txt rules that reach them, how to tell a real crawler from a fake one, and what to allow.
- AI crawler user agents and robots.txt tokens The user-agent strings and robots.txt tokens AI crawlers send, from each operator's own docs, and the agents our own robots.txt still misses. Chapter 1
- Training crawlers versus search agents Training crawlers feed future models; search and user agents feed today's AI answers. What blocking each costs, by operator, shown on our own crawler logs. Chapter 2
- How to write robots.txt rules for AI bots How to write robots.txt rules for AI crawlers that do what you mean: groups, precedence, status codes and caching, worked through on our own robots.txt. Chapter 3
- How to verify an AI crawler is real How to check that a request claiming to be GPTBot, ClaudeBot or Googlebot really came from that operator, with real lookups and the IP lists as of October 2026. Chapter 4
- Is llms.txt worth publishing? What llms.txt is, what the proposal asks for, what no crawler documents doing with it, and what happened when we published one: one engine cited ours. Chapter 5
- Choosing which AI crawlers to allow or block A decision guide for AI crawlers by job: what to allow for AI visibility, what to block for content rights, with our own robots.txt choices and their costs. Chapter 6
What does the GEO measurement guide cover?
What can be counted, how many answers a rate needs, which questions to track and how to report the result.
- What AI visibility tools can and cannot measure What an AI visibility tool observes directly, what it only estimates, and the four things nobody can measure yet, shown on our own workspace's data. Chapter 1
- How many AI answers make a sample? Why one AI answer proves nothing, how wide the error bars are at real sample sizes from our own workspace, and how many runs a change needs to be believed. Chapter 2
- Mentions, citations and share of voice A mention is your name in the answer, a citation is a link to your site, share of voice is how often you are named. Why they diverge, on our own data. Chapter 3
- How to build a prompt set for AI visibility Your prompt set decides what every AI visibility number means. How to choose the questions, group them, size them and change them without breaking history. Chapter 4
- What a defensible AI visibility report shows The fields an AI visibility report must carry, the claims it must not make, and a worked report built from our own data, including the parts that flatter us. Chapter 5
What else do people ask?
Where should I start with AI search visibility?
With the AI search visibility guide. It walks the path an answer takes, from an engine fetching your page to citing it, and shows the sources that decide one of our own lost answers. Then read the AI crawler guide to check your access, and the GEO measurement guide before you report a number to anyone.
How are these guides different from other AI SEO guides?
They show our own data. Each guide opens with a reading from Attensira's own workspace, taken over the Attensira MCP: the crawlers that visit attensira.com, the pages that decide answers we lose, and the questions where we are named in none of the answers. Every factual statement lists its source and the date it was read.
Who are the guides for?
Founders, marketing leads and SEO practitioners who need their brand named in ChatGPT, Perplexity, Claude and Google's AI answers, and who would rather understand the mechanism than buy a checklist. Developers will find the crawler guide's robots.txt and verification chapters useful on their own.
How are the guides kept accurate?
Every factual statement is a claim with the URL it came from and the date that page was read, listed under the page that makes it. Product behaviour is checked against docs.attensira.com. Each guide is reviewed every quarter, and each page shows when it last changed.
How is a guide different from a concept page or a glossary entry?
A glossary entry defines one term in a few paragraphs. A concept page, such as What is AI SEO, explains one idea and the evidence behind it. A guide is the long answer to a practical question, split into chapters you can read on their own.
Do I need a tool to follow the guides?
No. Every method in them can be run by hand with a list of questions, the assistants themselves and a spreadsheet, and the free tools on this site cover the technical checks. What the guides cannot do is the daily reading and the work itself, which is what Attensira's crew does for you.
Put the crew to work on your brand.
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