Ira Bodnar·August 13, 2026·16 min read

50 AI visibility and GEO agents

Buyers ask ChatGPT, Perplexity and AI Overviews before they see a blue link. We turned every job of showing up there into a Claude agent: a setup guide, not a loose prompt.

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Every GEO program breaks down into the same fifty small jobs: track which engines cite you, find the sources they trust, make pages extractable, keep llms.txt fresh, write the Monday share-of-answer summary. Done weekly, they compound — AI answers update faster than rankings ever did.

None of them need judgment — they need a checklist, a data source, and a weekly run. That's an agent. So we wrote all fifty as Claude agents:

Every agent is a setup guide, not a loose prompt — paste once, re-run with two words.
First pass ships real work: an engine coverage matrix, a citation target list, an answerability fix queue — 20 minutes to first finding.
9 categories, 50 jobs — visibility, content, citations, measurement, all of it.

Win AI answers from Claude — the real setup

1Connect Claude

https://connector.get-ryze.ai/mcp

Settings → Connectors → + Add connector → paste → Add

→ sign in to each data source once (OAuth, ~2 min, read-only)

one link covers Google Ads Meta GA4

claude.ai, Desktop or mobile — no terminal

2Pick an agent, paste its role

Visibility Tracker Citation Miner Answerability llms.txt Share-of-Answer +45 more ↓

run weekly

→ paste the role once, re-run with two words

every role on this page is a full setup guide — copy, paste, done

3Get the work

Engine coverage: where you’re cited, where you’re not

Citation targets → outreach list

Answerability fixes, per page

Share-of-answer report, every Monday

every finding lands as a fix you can ship the same day

The full library

All 50 agents, mapped

50 AI agents for GEO

Free setup guides

AI visibility tracker DEEP DIVE ↓
Prompt-share tracker
Engine coverage matrix
AI Overviews monitor
Brand mention monitor
Competitor citation delta
Answerability auditor DEEP DIVE ↓
Answer-block writer
FAQ extractor
Comparison page builder
Definition snippet writer
Spec-table formatter
Question coverage mapper
llms.txt generator DEEP DIVE ↓
Schema-for-AI agent
Crawler access auditor
Clean-extract checker
Content chunker
Canonical fact sheet
Citation miner DEEP DIVE ↓
Source gap finder
Wikipedia & Wikidata auditor
Directory seeder
Review platform agent
Digital PR for AI

Entity coverage agent
Brand disambiguator
Author entity agent
Trust page auditor
Fact consistency checker
Reddit presence agent
Quora answer agent
Forum mention miner
UGC seeding planner
Social proof harvester
Product feed for AI
Instant Checkout readiness
Merchant listing auditor
Freshness agent
AI referral analyzer DEEP DIVE ↓
AI landing page agent
AI traffic conversion agent
Prompt log miner
Attribution comparer
Share-of-answer reporting DEEP DIVE ↓
Engine update watch
Competitor GEO delta
Hallucination detector
Forecast model agent
GEO roadmap agent

Ryze AI

Every agent below is a setup guide

Visibility tracking · 6 agents

AI visibility tracker — asks the engines your money prompts, logs who gets cited
Prompt-share tracker — your share of answers across a fixed prompt set, over time
Engine coverage matrix — ChatGPT vs Perplexity vs Gemini vs AI Overviews, one grid
AI Overviews monitor — which of your queries trigger Google’s AI box, and who’s in it
Brand mention monitor — where your brand appears in answers without a link
Competitor citation delta — who they cite this week that they didn’t last week

Content answerability · 7 agents

Answerability auditor — scores pages on how liftable their answers are
Answer-block writer — rewrites the opening into a clean, quotable answer
FAQ extractor — mines support tickets and PAA into on-page Q&A blocks
Comparison page builder — “X vs Y” pages — the format engines love to cite
Definition snippet writer — one-sentence definitions engines can lift verbatim
Spec-table formatter — turns prose specs into extractable tables
Question coverage mapper — the questions in your niche no page of yours answers

Machine readability · 6 agents

llms.txt generator — builds and maintains your llms.txt from the sitemap
Schema-for-AI — JSON-LD tuned for answer engines, validated per template
Crawler access auditor — GPTBot, ClaudeBot, PerplexityBot — who’s blocked in robots.txt
Clean-extract checker — renders pages the way a bot reads them, flags what’s lost
Content chunker — restructures walls of text into liftable sections
Canonical fact sheet — one page of hard facts about the brand engines can trust

Citations & sources · 6 agents

Citation miner — finds the sources engines actually cite in your niche
Source gap finder — trusted sources where competitors appear and you don’t
Wikipedia & Wikidata auditor — the entities behind half of all citations
Directory seeder — the databases and directories engines pull from
Review platform agent — G2, Trustpilot, app stores — kept complete and current
Digital PR for AI — data stories that earn citations, not just links

Entity & brand · 5 agents

Entity coverage — the entities engines associate with your category
Brand disambiguator — stops engines confusing you with same-name brands
Author entity — consistent author profiles engines can verify
Trust page auditor — about, contact, policies — the credibility checklist
Fact consistency checker — same founding year, HQ and pricing everywhere

Community signals · 5 agents

Reddit presence — the threads engines quote — where you should usefully exist
Quora answer agent — long-tail questions engines index for years
Forum mention miner — niche forums already talking about your category
UGC seeding planner — briefs real customers to tell the story engines retell
Social proof harvester — pulls quotable reviews into citable formats

Commerce & feeds · 4 agents

Product feed for AI — product data shaped for ChatGPT shopping answers
Instant Checkout readiness — gets items ready for agentic checkout flows
Merchant listing auditor — disapprovals and gaps in merchant listings
Freshness agent — price and availability kept current — stale data kills citations

Measurement · 5 agents

AI referral analyzer — GA4: who arrives from ChatGPT and Perplexity, and what they do
AI landing page agent — which pages AI traffic lands on, and whether they hold it
AI traffic conversion — conversion of AI-referred visitors vs organic
Prompt log miner — what your own chat logs reveal buyers actually ask
Attribution comparer — AI-referred revenue vs the channels you already report

Intelligence & reporting · 6 agents

Share-of-answer reporting — the Monday summary: your share of AI answers, and why it moved
Engine update watch — model and product updates that reshuffle citations
Competitor GEO delta — their visibility moves, week over week
Hallucination detector — catches engines saying wrong things about your brand
Forecast model — projects AI-referred traffic from the current work queue
GEO roadmap — turns every agent’s findings into a prioritized quarter plan

The core six

The six agents doing the heaviest lifting

These six produce most of the movement in AI visibility. Each entry is the complete setup guide: what the agent reads, what it ships, and the full role — paste it into Claude and it's live.

01Asks the engines your money prompts, logs who gets cited

AI visibility tracker

Rank trackers are blind to AI answers. The tracker asks ChatGPT, Perplexity and Gemini the prompts your buyers actually type, records which brands get named and which sources get cited, and keeps a coverage matrix over time — so “are we in the answers?” gets a number, not a shrug.

ReadsYour money-prompt list + live answers from ChatGPT, Perplexity, Gemini (web search)

ShipsThe coverage matrix: prompt × engine, cited or absent, who wins each answer — diffed vs last week

CadenceWeekly — answers reshuffle faster than rankings ever did

ROLE PROMPT — PASTE INTO CLAUDE

You are my AI Visibility Tracker.

Job: every week, tell me exactly where we appear in AI answers, and where we don’t.

Process:
1. Take the prompt list I give you (the questions buyers ask before choosing us).
2. Ask each prompt on ChatGPT, Perplexity and Gemini via web search.
3. For each answer, record: brands named, sources cited, whether we appear, who wins the recommendation.
4. Diff against last week’s matrix: citations gained, citations lost.
5. For every lost citation, note who displaced us and what source they rode in on.

Output: the prompt × engine matrix, then two lists — "gained" and "lost, and why". Keep the prompt set fixed so weeks are comparable.

02Finds the sources AI engines trust in your niche

Citation miner

Engines rarely cite brands directly — they cite sources they trust: listicles, review sites, Reddit threads, docs, databases. The miner collects which domains keep showing up in answers across your niche and turns them into a target list: where to get mentioned, updated, reviewed, or published.

ReadsEngine answers across your niche prompt set; your existing mentions and backlinks

ShipsRanked citation-source list with one action per source: pitch, update, get reviewed, or post

CadenceEvery two weeks

ROLE PROMPT — PASTE INTO CLAUDE

You are my Citation Miner.

Job: find the sources AI engines trust in our niche, and how we get into them.

Process:
1. Run our niche prompt set across ChatGPT, Perplexity and Gemini. Collect every cited source.
2. Rank domains by citation frequency across prompts and engines.
3. Mark where we already appear (check the mention data I give you) vs where competitors appear and we don’t.
4. For each gap source, name the concrete action: pitch a data story, request a listing update, earn reviews, or publish there.

Output: the target list — source, citation count, our status, the action — ranked by citations we could gain. Cap at 20 actionable rows.

03Checks pages answer questions in extractable form

Answerability auditor

Engines lift answers from pages that state them cleanly: a definition up top, spec tables, question-shaped subheads. Most money pages bury the answer in paragraph four. The auditor scores each page for extractability and ships the per-page fix list.

ReadsYour key pages + the questions they should answer (GSC queries, PAA, your prompt set)

ShipsPer-page answerability score with the fixes: answer block, table, FAQ, subhead rewrites

CadenceMonthly, and after every content batch

ROLE PROMPT — PASTE INTO CLAUDE

You are my Answerability Auditor.

Job: make our money pages liftable by answer engines.

Process:
1. For each page I give you, list the questions it should answer (from its queries and our prompt set).
2. Check: is the answer stated in the first 2 sentences of a section? Is there a table for comparable facts? Question-shaped subheads? FAQ markup?
3. Score each page 0–10 for extractability.
4. For pages under 7, write the exact fixes: the answer block to add (draft it), the table to build, the subheads to rewrite.

Output: page list ranked by score ascending, each with its fix list. Draft the top 3 answer blocks in full.

04Keeps llms.txt fresh so engines read the right pages

llms.txt generator

llms.txt is robots.txt’s younger sibling: a curated map telling AI crawlers what matters on your site. The agent generates it from your sitemap — money pages, docs, fact sheets, summarized — and keeps it current as content ships. There’s also a free generator tool for the first version.

ReadsSitemap + page titles/summaries; your priority page list

ShipsA ready-to-deploy llms.txt (and llms-full.txt), updated as pages ship

CadenceMonthly, and after every content batch

ROLE PROMPT — PASTE INTO CLAUDE

You are my llms.txt Generator.

Job: keep our llms.txt accurate, so AI crawlers read the right pages.

Process:
1. Pull the sitemap. Identify: money pages, docs/guides, the fact sheet, pricing, about.
2. Write llms.txt: site one-liner, then sections with the priority URLs and a one-line summary each. Highest-value pages first.
3. Diff against the current llms.txt: pages added, removed, retitled.
4. Flag anything in llms.txt that 404s or redirects.

Output: the full llms.txt file ready to deploy, plus a 3-line changelog.

05Reads GA4: who arrives from ChatGPT and Perplexity, and what they do

AI referral analyzer

AI traffic is already in your GA4 — referrals from chatgpt.com, perplexity.ai, gemini — it’s just unsegmented, so nobody reports it. The analyzer isolates it: which engines send visitors, which pages they land on, and whether they convert. This is the revenue side of GEO, and it’s usually growing faster than anyone in the room thinks.

ReadsGA4 via MCP — referral traffic by source, landing pages, conversions

ShipsThe AI-traffic report: engine breakdown, landing pages, conversion vs organic, growth trend

CadenceWeekly

ROLE PROMPT — PASTE INTO CLAUDE

You are my AI Referral Analyzer.

Job: report the traffic and revenue AI engines already send us.

Process:
1. Pull GA4 referrals from AI sources: chatgpt.com, perplexity.ai, gemini.google.com, copilot, claude.ai.
2. Break down by engine: sessions, landing pages, conversion rate, revenue where tracked.
3. Compare conversion vs organic search traffic.
4. Trend the last 12 weeks — engines growing, engines flat.
5. Flag landing pages getting AI traffic that aren’t built to convert it.

Output: the weekly AI-traffic report — engine table, top landing pages, conversion comparison, trend line, one action.

How to build one

What separates an agent from a prompt

A prompt is a one-off request. An agent is a standing role with four parts — take any prompt you already use and add the missing three:

Role

A written job description, not a question. "You are my AI Visibility Tracker. Job: every Monday…" — the same words every run, so the behavior never drifts.

Data

A live connection, not pasted screenshots. GA4 and Search Console via MCP mean Claude pulls AI referrals and queries itself. This is the step that turns a prompt into an agent.

Output spec

A fixed deliverable defined in the role: the exact table, the exact columns, ranked by the same metric. Comparable week over week — that's what makes the findings trustworthy.

Cadence

A schedule, not a whim. Save the role as a Claude project or skill and re-run it with two words: run weekly. The loop is the agent.

Every setup guide in this library is those four parts pre-written. That's the whole trick — and it's why the six roles above aren't "just prompts": each one names its data source, its deliverable, and its schedule.

Proof, not promises

What the first pass ships

One brand, one afternoon. Data connected, six agents pasted in, first pass run end to end:

MATRIX

the engine coverage matrix — every money prompt, every engine, cited or absent

TARGETS

the citation source list — where engines look in your niche, and how to get there

20min

from setup to first finding — data connect included

For how GEO tools compare, from trackers to agents that change the site, see the GEO tool comparison.

Frequently asked questions

What is a Claude SEO agent, versus a prompt?

A prompt is a one-off request. An agent is a standing role: a defined job, a named data source, a fixed deliverable, and a cadence. You paste the role into Claude once, connect the data (usually Search Console via MCP), and re-run it weekly with two words. The output format never drifts, so results are comparable week over week.

Do I need to know how to code to set these up?

No. Every agent in the library is a paste-in setup guide. The only technical step is connecting Claude to Google Search Console through an MCP connector, which is a guided click-through — no terminal required. Setup to first finding took 20 minutes in our live run.

What data do the agents need?

Three kinds: your GA4 (AI referral traffic is already in there), Search Console, and the engines themselves — the tracker asks ChatGPT, Perplexity and Gemini your prompts directly via web search. No agent requires data you don’t already have or can’t ask for.

Are the 50 agents really free?

Yes. The full library of setup guides is free — every role prompt, data checklist, and output spec. You need your own Claude subscription to run them. If you’d rather not run 50 agents yourself, Ryze runs the equivalent stack — its autonomous SEO covers Google, ChatGPT and Perplexity visibility.

Which agent should I set up first?

The AI visibility tracker. Until you know which prompts you’re absent from, everything else is guesswork — one run gives you the coverage matrix, and every other agent works off it.

Is GEO different from SEO?

Overlapping but not identical. Good SEO still feeds GEO — crawlable pages, entities, authority. What changes: answers are won per-question not per-keyword, citations replace rankings, and sources like Reddit and review platforms matter far more. That’s why this library tracks citations and answerability, not positions. Full comparison here.

Claude models

50 AI visibility and GEO agents

All 50 agents, mapped

The six agents doing the heaviest lifting

AI visibility tracker

Citation miner

Answerability auditor

llms.txt generator

AI referral analyzer

What separates an agent from a prompt

Role

Data

Output spec

Cadence

What the first pass ships

Frequently asked questions

Related Articles

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The SEO & AI visibility guide to Claude

Measuring your brand's share of voice across AI assistants

Audit a product page for AI answerability

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Run Your Ads

50 AI visibility and GEO agents

All 50 agents, mapped

The six agents doing the heaviest lifting

AI visibility tracker

Citation miner

Answerability auditor

llms.txt generator

AI referral analyzer

Share-of-answer reporting

What separates an agent from a prompt

Role

Data

Output spec

Cadence

What the first pass ships

Frequently asked questions

Related Articles

Claude Fable 5 for SEO and GEO

The SEO & AI visibility guide to Claude

Measuring your brand's share of voice across AI assistants

Audit a product page for AI answerability

Let AIRun Your Ads

Let AI
Run Your Ads