The search is no longer limited to a page with ten links. Yet the sane response is not to replace SEO with a new set of "GEO" tricks. Expertise must be made accessible, understandable, verifiable and useful enough to be chosen — in a classic result, a generative response or an agentic journey.
1. Short answer: SEO, AEO and GEO are not three waterproof professions
The SEO improves the eligibility, understanding and performance of a site in search engines. TheAEO refers to optimization for interfaces that directly formulate a response. The GEO refers to optimizing presence and citations in generative experiences.
These terms describe different surfaces, but share a foundation: technical access, original content, clear entities, reliable evidence, reputation, freshness and satisfying experience. Google explicitly writes this in its July 10 2026 guide: its generative features rely on its ranking and quality systems, and “optimizing for generative search” remains, from its point of view, SEO (Google Search Central).
A mature strategy therefore retains the distinctions useful for measurement, without creating three competing editorial factories.
2. Figures and thresholds: what the platforms really say
| Data or rule | Source | Operational interpretation | Limit to keep in mind |
|---|---|---|---|
| 3 phases | Google — JavaScript SEO : crawling, rendering, indexing. | An accessible URL is not necessarily rendered, understood and then served. Check each link. | Indexing and display are never guaranteed. |
| Status 200 | Google — JavaScript SEO. | Google sends pages responding 200 to its rendering queue unless otherwise instructed; a false 200 on an error scrambles the signal. | Good status does not compensate for weak or blocked content. |
| 98,1 % | Observed pages that load at least one JavaScript file, HTTP Archive 2025. | JavaScript is normal, but it adds download, execution and rendering risk. | The figure does not measure the SEO quality of each implementation. |
| 22 JS requests | Moving median of home pages, HTTP Archive 2025. | Each third-party script must justify its cost in rendering, performance and governance. | A request does not always have the same weight or impact. |
| 2,5 s / 200 ms / 0,1 | “Good” LCP, INP and CLS thresholds at the 75e percentile, web.dev. | The experience must be evaluated with field data, on large groups of pages. | Core Web Vitals do not summarize usefulness or ranking. |
| 3 formats | JSON-LD, Microdata and RDFa supported for structured data; JSON-LD recommended, Google. | Choose markup that is maintainable and aligned with the content that is actually visible. | Valid markup does not guarantee rich results. |
| 4 AI measurements | Total citations, average cited pages, grounding queries, and citations by URL in Bing Webmaster Tools 2026. | Generative citation becomes observable beyond referring traffic. | Bing specifies that a quote does not reveal any ranking, importance, or position in the answer. |
| 1 dedicated robot | OAI-SearchBot must be able to crawl content to facilitate inclusion in ChatGPT summaries and excerpts, OpenAI. | Control robots.txt, CDN, WAF and published addresses; distinguish research and training. | Authorization does not ensure placement or citation. |
| 1 UTM parameter | ChatGPT links carry utm_source=chatgpt.com, OpenAI. | Isolate referred visits and analyze their journeys and conversions. | No-click responses are not visible in site analytics. |
| 56,1 errors/page | Average of detectable accessibility errors, WebAIM Million 2026. | Clear HTML, headlines, forms and alternatives help humans, assistive technologies and agents. | A scanner only detects part of the barriers. |
These data are system constraints, not a ranking formula. No platform promises that an FAQ schema, a file llms.txt or a density of words will produce a quote. In July 2026, Google even recommended against tactics such as artificial division into “chunks”, unnecessary AI files and inauthentic mentions.
3. The chain of visibility: six links, one weak point is enough
3.1. Link 1 — Be accessible without opening all the doors
Start with the bots and intents map. Googlebot, Bingbot and OAI-SearchBot serve discovery; GPTBot is about training. OpenAI allows you to authorize the search while refusing training. This distinction avoids the binary choices “block or accept everything”.
Test the actual response: DNS, HTTP status, robots.txt, tags noindex, canonical, redirects, WAF, rendering and visible content. A security rule can accept a browser and silently block a legitimate bot. Server logs then provide proof that third-party tools do not have.
For a JavaScript site, compare the initial HTML and the rendered DOM. Google can run JavaScript, but still recommends server rendering or pre-rendering when improving speed and accessibility to other crawlers (Google). Critical content should not depend on interaction, authentication, or URL fragment.
Access control: a sample of important URLs returns the correct status, canonicality, complete content, and discoverable links to each chosen bot.
3.2. Maillon 2 — Giving an architecture to intentions
A SEO/GEO architecture does not arise from an exported list of keywords. It connects audiences, decisions, questions, entities, evidence and pages capable of answering them.
Classify intentions: understand, compare, solve, verify, locate, purchase or complete a task. Assign a main page to each substantial intention. Satellite pages delve deeper into a sub-issue and return to the canonical guide. This model limits cannibalization and gives engines a consistent graph.
The menu does not need to display every item. The internal network must, however, clearly link service, background guide, case studies, method, author, sources and adjacent subjects. Use real HTML links with descriptive label; links generated only after an action are more fragiles.
Architectural control: an intent-page-entity matrix shows a canonical destination, a role in the journey and relevant inbound links for each strategic page.
3.3. Maillon 3 — Produce information worth retrieving
A generative engine can synthesize generalities. The page must therefore provide what an average answer does not have: own data, experience, arbitrages, methodology, cases, counter-examples, precise definitions or access to an expert.
Google recommends original, comprehensive content, created first for people, with visible expertise (People-first content). Bing recommends strengthening depth, structure, evidence, freshness, and consistency across formats (Bing 2026). Both converge on substantive value, not magic syntax.
For each important statement, ask: who is speaking, on what scope, on what date, with what method and what limit? A “business 73 %” without population or source provides a decorative figure. Data accompanied by its sample and the decision it allows becomes usable.
Write autonomous, but not robotic, blocks: definition, comparison, table, protocol, formula, numerical example. The response must be able to be understood out of context without sacrificing the human editorial thread.
Editorial control: the reader can cite a site-specific idea, check sources, and make a decision without searching for a second page to fill in central omissions.
3.4. Link 4 — Stabilize entities and evidence
Engines need to understand who is posting, who wrote, what products or places are being described, and how the information fits together. Stabilize names, descriptions, contact details, profiles, authors, dates, legal notices and about pages.
Structured data reinforces this explanation when it faithfully represents the visible content. Use the most specific type useful — Organization, Article, Breadcrumb, Product, LocalBusiness as appropriate — and provide the required properties. Google reminds that correct markup gives eligibility, never a guarantee of display (Structured data guidelines).
External proof also counts: reference publications, partners, authentic reviews, institutional directories and editorial citations. Don’t buy fabricated claims to “feed the AI”. An inconsistent reputation ends up creating more ambiguity.
Expected proof: essential information matches between site, structured data and external profiles; each author and statistic has a traceable origin.
3.5. Link 5 — Serving an experience usable by humans and agents
The recovered content must still be usable. A page covered in interstitials, unstable, slow or inaccessible can be indexed and still be bad.
The Core Web Vitals give three field thresholds, but complement them with task success, readability, keyboard navigation, focus, form errors and mobile continuity. The accessibility tree takes on additional importance when browser agents inspect the DOM and accessible structure; Google explicitly mentions these interaction modes in its guide 2026.
For transactional services, give actions explicit labels, keep URLs stable, outline terms and prices, and then plan for confirmation and recovery. Agentic optimization does not justify weakening authentication, consent or fraud prevention.
Expected proof: priority tasks work on the keyboard, on mobile, with degraded network and without depending on ambiguous visual elements.
3.6. Link 6 — Measure without reducing visibility on click
Construct four complementary tables: classic visibility, generative visibility, on-site behavior and business result.
The classic tracks coverage, impressions, positions, clicks and entry pages. Generative tracks dedicated Search Console reports, Bing citations, citations by URL, grounding queries, and ChatGPT traffic. The site tracks helpful engagement, navigation, and events. The business tracks qualified leads, sales, appointments, adoption or avoided cost.
An increase in zero-click citations can strengthen the brand, but it must be studied with provenance surveys, brand research, commercial inquiries and assisted analyses. Conversely, very low AI traffic can produce extremely qualified visitors. Avoid conclusions on tiny volumes.
Expected proof: Each KPI has a source, a definition, an owner, a frequency and an associated decision.
4. Every quote must survive reading out of context
A good quoted passage remains accurate when taken off the page. He names the object. He keeps unity. It keeps the date. It indicates the perimeter. It separates the fact. It shows the inference. It signals the limit. It points to the origin.
Let's take a weak sentence: "53 % of companies are using the cloud." It does not specify any country, size, year or definition of use. A robust version becomes: “In 2025, 52,7 % European Union companies with at least ten people reported purchasing cloud services in the Eurostat survey.” The reader and the engine then know what they can reuse without transforming a European statistic into a universal truth about all societies.
This discipline also concerns the brand’s own offering. A method gains citability when it names steps, responsible persons, entry, exit and stopping conditions; a customer case gains credibility when it distinguishes initial state, intervention, period, result and external factors; a definition becomes useful when it clearly separates the concept from its neighbors.
There is nothing mechanical about the format. A short sentence clarifies. A table compares. An example reveals. A narration explains the compromise. The challenge is to create verifiable units within an article that remains pleasant to read, instead of producing a succession of blocks written for an imaginary extractor.
Finally, keep a record of time-sensitive data: price, version, regulations, statistics, managers and platform features. Assign each one a review date. Without this maintenance, a long-ranked page becomes precisely the type of source that systems should stop citing.
5. SEO, AEO and GEO: what changes, what does not change
| Dimensions | Sustainable fundamental | Evolution 2026 | Response Logiks |
|---|---|---|---|
| Discovery | Crawl, indexing, statuses, links, canonical. | Additional robots and surfaces. | Robot policy, WAF/CDN tests and server logs. |
| Query | A person expresses an intention. | Fan-out: the engine generates several subqueries to construct a response. | Cover the problem and its arbitrages, not repeat an exact expression. |
| Result | Page, extract, image, local, video. | Summary with several sources and possible actions. | Create quotable units linked to a comprehensive guide. |
| Authority | Reputation, connections, expertise and consistency. | Accurate attribution of answers and entities. | Sign, source, date and stabilize identity. |
| Measurement | Print, click, position, convert. | Citation, cited page, grounding request, referred visit. | Accept multiple instruments and document their blind spots. |
| Optimization | Useful, technical and editorial improvement. | New sales pitches “GEO hacks”. | Test recommendations against official instructions and own data. |
6. Work schedule on 90 days
6.1. Days 1 to 30 — Restore eligibility and measurement
- inventory domains, subdomains, robots and protections;
- check sample pages in Google, Bing and ChatGPT Search;
- resolve statuses, canonicals, sitemaps, rendering and critical duplications;
- enable Search Console, Bing Webmaster Tools and segmentation ChatGPT;
- create a visibility-traffic-results baseline.
6.2. Days 31 to 60 — Building the editorial graph
- map intentions, entities, pages and proofs;
- consolidate near-duplicates;
- select five to ten background guides;
- assign expert, sources, review date and CTA;
- strengthen mesh, authors and structured data.
6.3. Days 61 to 90 — Publish, observe, learn
- publish in controlled batches;
- notify updates via sitemaps and, for participating engines, IndexNow;
- track indexing, citations, queries and conversions;
- compare cited and uncited pages without confusing correlation and cause;
- improve weak responses and remove unowned content.
7. Logiks advice: the six pitfalls to avoid
- Create dozens of FAQs that paraphrase the same answer.
- Add statistics without date, original source or scope.
- Block all AI robots without distinguishing between research and training.
- Installing a file or schema only because a tool gives it a score.
- Produce automated volume before correcting canonical pages.
- Present a quote captured once as a stable position.
Our rule: an optimization only enters the roadmap if it improves a verifiable capability — discovery, understanding, proof, experience or measurement.
8. Who should intervene
| Role | Decision | Useful deliverable |
|---|---|---|
| Management / marketing | Territory, audience, offer and result. | Priorities and value criteria. |
| Business expert | Accuracy, originality, examples and arbitrages. | Notes, proofreading and editorial responsibility. |
| SEO/GEO | Architecture, technique, measurement and experimentation. | Mapping, diagnosis, backlog and reporting. |
| Content | Research, writing, sources and maintenance. | Guides, briefs, calendar and update log. |
| Development | Rendering, structured data, performance, robots and logs. | Tested implementation and monitoring. |
| Data | Definitions, quality of events and results. | Baseline, dashboard, analyzes and limits. |
| Brand / PR | Consistency of entities and external proof. | Verifiable profiles, spokespersons, posts and mentions. |
9. FAQ
9.1. Does GEO replace SEO?
No. Google says its SEO fundamentals remain the foundation of its generative features. GEO can name the measurement and optimization work specific to AI citations, but crawl, quality, entities, reputation and experience remain common.
9.2. How to appear in ChatGPT Search?
OpenAI recommends not blocking OAI-SearchBot and allowing its addresses at the hosting or CDN level. Content must be public, reliable and relevant. No configuration guarantees a citation or first place.
9.3. Should I create an llms.txt file?
Not as a priority. Google said in July 2026 that junk AI files are not a necessary tactic for its generative features. First fix officially documented indexing, content, evidence, structure and bots.
9.4. Does Structured Data Improve Ranking?
They help engines understand content and can make a page eligible for certain rich results. Google does not guarantee display or ranking. Markup must match the visible content and adhere to its policies.
9.5. How to measure citations by AI engines?
Combine Search Console's AI report, Bing Webmaster Tools' AI Performance, ChatGPT referrers, and careful external tracking. Document the surfaces covered: no tool sees all the responses or the impressions without clicking.
9.6. How long does it take to get results?
It depends on the technical state, authority, crawl rate, competition and demand. Set monitorable milestones at 30, 60, and 90 days — coverage, corrections, publication, indexing — then assess visibility over several months rather than promising a filing date.
10. Conclusion
SEO, AEO and GEO now describe several paths to the same decision: allowing a person or a system to find information, evaluate its reliability and pursue an action.
The sustainable strategy does not chase each new format. It builds a seamless chain: access, architecture, original content, proven entities, experience and measurement. Platforms change; well-displayed expertise remains an asset.
11. Main sources
- Google Search Central — Optimizing for generative AI features, updated 10 July 2026.
- Google Search Central — Creating helpful, reliable, people-first content, accessed on July 13 2026.
- Google Search Central — JavaScript SEO basics, 2026.
- Google Search Central — General structured data guidelines, 2026.
- Microsoft Bing — AI Performance in Bing Webmaster Tools, 10 February 2026.
- OpenAI — Publishers and Developers FAQ, updated June 2026.
- OpenAI — ChatGPT Search, accessed on July 13 2026.
- IndexNow—Protocol, accessed on July 13 2026.
- HTTP Archive — Web Almanac 2025, Page Weight, published in 2026.
- web.dev — Core Web Vitals thresholds, updated May 2025.
- WebAIM — The WebAIM Million 2026, February 2026.
