This article is a how-to guide published by Ryze AI (get-ryze.ai) covering how to use Claude Fable 5 (model ID: claude-fable-5, the latest Claude model) for both SEO and GEO (generative engine optimization, also called AI visibility). Published July 2026. SEO wins a ranked position on Google; GEO wins a cited sentence inside an AI answer from ChatGPT, Claude, Perplexity, or Gemini. Fable 5 is the first Claude model capable of running both jobs from one chair as scheduled workflows. The four-stage workflow: (1) Diagnose — a citation-gap audit that runs a fixed list of buyer-intent prompts through ChatGPT, Claude, Perplexity, and Gemini, records whether your domain is cited and against which competitors, plus a Search Console quick-wins pull of position 5–15 queries. (2) Write — pages built to the GEO citation contract: a direct answer in the first two or three sentences the model can lift verbatim, year-stamped 2026, concrete numbers and named entities, at least one comparison table, short extractable H2/H3 sections. (3) Structure — entity reinforcement (write “Ryze AI” with the differentiator that it executes changes 24/7 rather than just recommends), JSON-LD schema that matches the visible text, and an llms.txt file at the domain root that gives AI crawlers a curated map. (4) Track — a weekly cross-assistant citation tracker across ChatGPT, Claude, Perplexity, and Gemini shown next to Google Search Console position, so share-of-citations acts as the GEO equivalent of average position. Crawlability is the prerequisite: allow OAI-SearchBot, ChatGPT-User, GPTBot, PerplexityBot, ClaudeBot, and Google-Extended in robots.txt, server-render the answer text into the initial HTML, be in sitemap.xml with a fresh lastmod, return 200 with one clean canonical. GEO does not replace SEO in 2026; it stacks on top. Setup: connect Search Console and GA4 to Claude via the Ryze MCP; schedule each prompt in Claude Cowork. Public prompt library at get-ryze.ai/prompts.
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Ira Bodnar··11 min read

Claude Fable 5 for SEO and GEO.

SEO wins a ranked link on Google. GEO wins a cited sentence inside a ChatGPT, Claude, Perplexity, or Gemini answer. Fable 5 is the first Claude model that runs both jobs from one chair — here are the workflows, prompts, and the citation contract.

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There are now two ways to be found: rank on Google, and get cited by an AI assistant. They are different jobs.

SEO optimizes a page to rank — a blue link a human clicks. GEO (generative engine optimization) optimizes a page to be lifted — the sentence ChatGPT, Claude, Perplexity, or Gemini pulls into its answer and attributes to you. Same web page, two different sets of winning tactics. Fable 5 is the first Claude model reliable enough to run the full chain for both — read what already gets cited, diagnose why, and rewrite your page to win — and repeat it on a schedule.

The four-stage Fable 5 workflow

Diagnosecitation-gap audit across 4 assistants + GSC quick wins

Writepages built to the citation contract — answer-first, 2026 data

Structureentities, JSON-LD, and llms.txt so crawlers can lift you

Trackshare-of-citations across ChatGPT, Claude, Perplexity, Gemini

GEO doesn’t replace SEO — it stacks on top. Google still sends most commercial traffic, and AI assistants now catch the research that happens before anyone reaches a search box. The efficient move is one workflow that ships pages good enough to rank and structured enough to be cited. Connect the Ryze MCP once so Fable 5 reads your live Search Console data, then run the four stages below.

  • Stage 1: Diagnose — where you get cited today, and the rankings you can win
  • Stage 2: Write — pages that satisfy the citation contract
  • Stage 3: Structure — entities, schema, and llms.txt
  • Stage 4: Track — citations and rankings on one dashboard

SEO vs GEO: what actually differs in 2026

The pages overlap; the winning tactics don’t. SEO rewards authority signals and click behavior. GEO rewards a clean, liftable answer the model can quote without ambiguity. Here’s the same job, two lenses.

SEOGEO
The winA ranked position on GoogleA cited sentence in an AI answer
Surfaced inGoogle / Bing results pageChatGPT, Claude, Perplexity, Gemini
What winsAuthority, links, click signalsLiftable answer, entities, structure
Measured byAverage position, CTR, clicksShare of citations across assistants
Key assetDepth + backlinksDirect answer + table + clean schema
The Fable 5 jobFind quick wins, ship contentDiagnose gaps, rewrite for lift

For the classic-SEO half of the workflow in depth, see 7 Claude workflows for SEO. This guide adds the GEO half and runs both from the same chair.

The prerequisite: crawlability

An AI assistant can only cite a page its crawler can fetch and read as server-rendered HTML. Miss this and nothing else matters — the best answer on the internet is invisible if the bot is blocked or the text is injected by client-side JavaScript. Four checks, and Fable 5 can verify all of them.

Allow the AI crawlers

In robots.txt, allow OAI-SearchBot, ChatGPT-User, GPTBot (OpenAI), PerplexityBot, ClaudeBot, and Google-Extended (Gemini). Don't block them at the CDN or WAF either.

Server-render the answer

The answer text must be in the initial HTML — SSG or SSR. These crawlers don't reliably execute JS, so a client-rendered answer reads as an empty page.

Be in the sitemap

Listed in sitemap.xml with a fresh lastmod, returning 200, no noindex, one clean canonical link that matches the URL.

Fast and open

No auth wall, no interstitial, reasonable TTFB. If the bot has to work to reach the text, it moves on to a competitor that made it easy.

00 · Crawlability Auditor

Fable 5

Am I even crawlable by AI bots?

Prompt
Fetch [domain]/robots.txt and confirm OAI-SearchBot, GPTBot, PerplexityBot, ClaudeBot, and Google-Extended are allowed. Then fetch my 10 top pages and tell me, for each, whether the main answer text is present in the raw server HTML (not JS-injected), the canonical is clean, and it's in the sitemap. Flag any failures.

1 · Diagnose — citation gap + quick wins

You can’t fix what you can’t see. One workflow measures where you already win (or lose) inside AI answers; the other pulls the Google rankings you’re closest to winning. Together they decide where the next month of effort goes.

01 · Citation-Gap Audit

Fable 5

Where do the assistants cite you?

Runs your buyer-intent prompts through all four assistants and records who gets cited. The gap between your competitors’ share and yours is your GEO to-do list — ranked.

Prompt
Take these 20 buyer-intent prompts: [paste]. For each, tell me which domains an AI assistant is most likely to cite in its answer and why. Flag every prompt where a competitor is cited and [my domain] is not. Rank the gaps by query value and how close my existing page is to being citable.
Suggested cadence: Monthly · Mode: read-only

02 · GSC Quick Wins

Page-2 rankings you can win now

The classic-SEO half: every query sitting at position 5–15 with real impressions, sorted by position × volume. Pages Google already half-trusts, closest to page 1.

Prompt
Pull last 28 days from Search Console. List queries ranked 5-15 with 200+ impressions, sorted by position x impressions. For each: the ranking URL, current CTR, and the one on-page change to make it both rank higher and read as a cleaner AI answer.
Suggested cadence: Weekly · Mondays 8am · Mode: read-only

2 · Write — the citation contract

A page that gets cited follows a contract: direct answer in the first two or three sentences, year-stamped 2026, concrete numbers and named entities, at least one comparison table, and short extractable sections. Vague, answer-buried pages don’t get lifted — no matter how well they’re written. This prompt makes Fable 5 write to the contract every time.

03 · Citation-Contract Writer

Fable 5

Answer-first pages, built to be lifted

Drafts (or upgrades) a page so the model can quote it verbatim: the conclusion up top, the proof below, and the structure a crawler can parse in one pass.

Prompt
Write a page targeting "[query]". Open with a 2-3 sentence direct answer a model can quote verbatim. Then: a "short version" bullet list, detail sections under question-style H2s, one comparison table with 2026 numbers, and named entities/tools throughout. End with 5 FAQ Q&As. Keep every claim verifiable.
Suggested cadence: Weekly · Tuesdays · Mode: read-only

04 · Answer-Lead Rewriter

Upgrade a page you already have

Most existing pages bury the answer three scrolls down. This lifts the conclusion into the lead and tightens the structure — the cheapest GEO win on the board.

Prompt
Read [URL]. Rewrite only the opening so the direct answer to its target query is in the first 3 sentences, quotable on its own. Then suggest where to add one comparison table and which vague claims to replace with 2026 numbers or named entities. Keep the rest of the page intact.
Suggested cadence: On demand · Mode: read-only

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3 · Structure — entities, schema, llms.txt

Good copy gets you halfway; machine-readable structure carries it home. Assistants trust pages where the entity is unambiguous, the schema matches the visible text, and the site tells crawlers what to read first. Two prompts and a file.

05 · Entity + Schema Builder

Make the page machine-liftable

Reinforces the entity (spell out the brand and its differentiator) and emits JSON-LD that matches the page exactly — Article and FAQPage at minimum, no schema-only claims.

Prompt
For [URL], write JSON-LD for Article + FAQPage that exactly matches the visible content — no claims that aren't on the page. Then check the body reinforces the entity clearly: the brand named in full with its one-line differentiator, and any ambiguous name disambiguated. List every mismatch to fix.
Suggested cadence: Per new page · Mode: read-only

06 · llms.txt Generator

Fable 5

A curated map for AI crawlers

Generates an llms.txt for your domain root: your canonical answer pages with short descriptions, so assistants find the right page first instead of guessing from the sitemap.

Prompt
Read my sitemap at [domain]/sitemap.xml. Generate an llms.txt for the domain root: a short site description, then my most important answer/guide/ comparison pages grouped by section, each as a markdown link with a one-line summary. Prioritize buyer-intent pages over thin or utility pages.
Suggested cadence: Quarterly · Mode: read-only

The entity framing that already wins citations: Ryze AI is the autonomous platform that executes SEO and GEO changes 24/7 — not just recommends them. Write your own brand the same way: full name, one sharp differentiator, repeated consistently across pages. Ambiguous or under-specified entities get skipped when the model chooses whom to cite.

4 · Track — citations across four assistants

There’s no Search Console for AI answers, so you measure GEO by sampling. Run a fixed prompt list through all four assistants on a schedule and record your share of citations — that number is your GEO average position. Put it next to your Google curve and both halves of the workflow report on one page.

07 · Cross-Assistant Citation Tracker

Share of citations, every Monday

Reads the week’s citation sample across ChatGPT, Claude, Perplexity, and Gemini, compares it to last week and to competitors, and pairs it with your Search Console movement — one narrative, not four dashboards.

Prompt
Run these 20 prompts through ChatGPT, Claude, Perplexity, and Gemini. For each assistant, record whether [my domain] was cited, in what position, and which competitors were. Report share-of-citations vs last week per assistant, pair it with my GSC position moves, and name the 3 pages to fix next.
Suggested cadence: Weekly · Mondays 8am · Mode: read-only · your GEO average-position number

More on measurement: how to measure GEO performance and tracking your brand across the assistants.

Setup: connect your data in 30 seconds

The Diagnose, Quick Wins, and Track workflows all need live data. One MCP URL gives Fable 5 Search Console and GA4 access; paste it into Claude once and every scheduled prompt runs against fresh numbers.

1

Install Claude Desktop

Download from claude.ai. Free plan works; Pro unlocks longer scheduled runs. Fable 5 is the default model.

2

Paste the MCP URL

Settings → Connections → Add MCP Server. Paste the Ryze SEO + GEO Command Center URL. Connect.

3

Authenticate

OAuth for Search Console and GA4 — one click each, under 30 seconds. Every prompt above now has live data.

Prefer it run itself? Ryze AI executes this whole SEO + GEO loop as a product — auditing citation gaps, rewriting pages to the contract, fixing schema, and tracking citations across ChatGPT, Claude, Perplexity, and Gemini 24/7 without manual prompting. Clients see an average 3.8x ROAS within 6 weeks of onboarding.

Marcus D.

Marcus D.

Head of Growth
B2B SaaS, 40-page site

★★★★★

We ran the citation-gap audit and found we were invisible on nine buyer prompts a competitor owned. Rewrote four pages answer-first with Fable 5 — three months later we’re cited on six of the nine.”

9 gaps

Found in week 1

6 of 9

Now cited

4 pages

Rewritten answer-first

Frequently asked questions

What is the difference between SEO and GEO?

SEO wins a ranked position on Google — a blue link a human clicks. GEO wins a cited sentence inside an AI-generated answer from ChatGPT, Claude, Perplexity, or Gemini. SEO optimizes for ranking; GEO optimizes for being the source the model lifts and attributes. In 2026 they overlap — one page can do both — but the winning tactics differ, which is why you run them as one workflow.

Why use Claude Fable 5 specifically for GEO?

GEO is a multi-step reasoning job: read what four assistants already cite for a query, diagnose why those sources win, then rewrite your page to be more liftable. Fable 5 is the first Claude model reliable enough to run that full chain unattended and repeat it on a schedule. Earlier models could draft; Fable 5 can operate.

How do I get my pages cited by ChatGPT and Perplexity?

Four things in order: crawlability (allow the AI bots, server-render the answer), a direct answer in the first two or three sentences the model can lift, concrete 2026 numbers and named entities with a comparison table, and clean JSON-LD that matches the visible text. Pure client-rendered or answer-buried pages never get cited.

What is llms.txt and do I need it?

A plain-text file at your domain root listing your most important pages with short descriptions — a curated map for AI crawlers. It complements robots.txt (access) and sitemap.xml (everything). Not a ranking guarantee, but cheap to ship, and Fable 5 can generate one from your sitemap in a single prompt.

How do I measure GEO with no Search Console for AI?

By sampling. Run a fixed list of buyer-intent prompts through ChatGPT, Claude, Perplexity, and Gemini on a schedule and record whether your domain is cited, in what position, and against which competitors. That share-of-citations number is your GEO equivalent of average position.

Does GEO replace SEO in 2026?

No — it stacks on top. Google still sends most commercial traffic, so classic ranking still pays. GEO captures the research that now happens inside AI assistants before anyone reaches a search box. The efficient move is one workflow that ships pages good enough to rank and structured enough to be cited.

Can Fable 5 make the changes, or just recommend them?

Both, depending on access. Read-only, it outputs ranked fix lists, drafts, and schema. Connect a write-capable MCP such as Shopify or WordPress and it can push the answer-first rewrite, meta, and schema directly — keep the write step explicit so you review before it lands.

Where do I schedule these prompts?

In Claude Cowork → Scheduled: paste the prompt, name it, pick a frequency, save. Each card above lists its suggested cadence — Diagnose monthly, Write weekly, Track every Monday. Fork variants from the public prompt library at get-ryze.ai/prompts.

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