Semji

How do you fact-check your GEO content?

How sure are you of the accuracy of the content you put on your site? And how do you quickly check what you publish? If you want LLMs to cite you, you have to make sure of it (dated evidence, traceable sources, a clear scope). In this article, you will see how to map your claims, cross-check reliable sources, and document your method the way the AFP would. Fewer hallucinations, more trust, and content that is optimized and ready to publish.

Why is GEO fact-checking indispensable in GEO?

Without dated evidence or sources, content looks like a map with no legend: you follow a road without certainty and you risk going the wrong way. Out of caution, LLMs then refrain from citing you. In GEO, your credibility depends on:

  • a clear scope;

  • an explicit method;

  • traceable data.

Authority is not declared. It is proven.

Fact-check: definition

Fact-checking (or verification of facts) is a journalistic practice used for the verification of rigorous information. Concretely, it means testing a claim against independent, traceable evidence, favoring primary sources and noting a scope (where/when/how much).

Remember that:

  • one claim = one verifiable piece of evidence;

  • absolute neutrality (no disguised opinion);

  • priority to “who produced what, when”;

  • transparency about the method and its limits.

By applying these rules, you secure your content and earn the trust of your readers and of AI agents.

Example: A study claims that “45% of French people work remotely in 2025.” The role of fact-checking is to verify:

  • Whoproduced the study (INSEE, a private company?);

  • Whenthe data was published;

  • Whatsample was used.

If the study comes from a partial survey with no clear method, the claim should then be rephrased or removed.

GEO: why credibility and transparency matter

Your visibility on LLMs depends on your content providing credibility cues. That is how you earn their trust. The benefit for GEO is direct.

You then have to make the evidence visible, so robots have no trouble judging your expertise.

This transparency continues the EEAT criteria of SEO and QAT for GEO, which reward what is accurate and verifiable. In GEO, these two frameworks become the essential reference points so AIs identify your content as reliable and citable.

Here are the essential fields to document:

  • provenance: original producer of the data;

  • dating: “data from,” “published on,” “accessed on”;

  • scope: territory, population, period, units;

  • method: primary source, sample, reprocessing;

  • limits: possible biases, margins of error, exclusions.

These elements can feel tedious, but AIs and your readers both give them a lot of weight. Semji’s advice: standardize a “Sources and method” block at the end of each article, like a technical notice.

Example: Sources & method: INSEE, “Active population 2024,” metropolitan France data, published on 06/15/2024, accessed on 10/05/2025. Method: sample of 10,000 people, margin of error ±1.2%.

→ This kind of text block ties each figure to a clear source, strengthening your reliability and your GEO citability.

Specific risks in an AI environment: hallucinations

AI hallucinations are not rare bugs. LLMs make all kinds of errors even when their answers are carefully and confidently phrased. You have probably seen it when you asked a question on a subject you know perfectly. The illusion of truth can be striking, making verification complex.

A simple primary check is enough to cut short a large number of errors.

Here are the most frequent types of errors:

  • invented facts (precise figures that cannot be found);

  • phantom sources (credible URL, missing content);

  • anachronisms (a 2025 method applied to 2018);

  • overgeneralizations (tiny sample → universal truth);

  • scope mix-ups (EU ≠ France ≠ Île-de-France).

These errors can look harmless, but they directly hurt your GEO visibility. Content perceived as dubious has little chance of being cited by AIs.

Example: “The average LLM hallucination rate is 3% in 2025.” No source, fuzzy scope, no method: this claim is unverifiable. Better to rephrase it (“according to available studies, the error rate varies by model”) or remove it.

Steps to verify that information is accurate

Before you open a dozen tabs, set your plan. Fact verification happens in five reproducible steps. This method will help you gain clarity, reduce errors, and strengthen the credibility of your content. Like a working journalist, follow these five steps:

  • map the assertions and their criticality (A/B/C);

  • prioritize and cross-check with independent primary sources;

  • tool the traceability (table, timestamps, archiving);

  • assign a score of reproducible reliability;

  • decide: publish, rephrase, or remove.

This “audit-ready” workflow avoids last-minute panic. It is never a good idea to publish without being sure of yourself.

1. Map the facts to verify

Before any research, identify the facts to verify one by one. Without that breakdown, verification can become confusing, or even incomplete. Mapping will help you structure the work. The goal is to isolate, specify, and prioritize, as you would in an investigation.

Proceed methodically:

  • Extraction: 1 sentence = 1 fact; no composite formulations;

  • Scope: what, where (country/zone), when (period), unit (%/€/month);

  • Assumptions: specify inclusions/exclusions (population covered, base 100, thresholds);

  • Terminology: define expert words (a mini glossary in the margin);

  • Criticality: A (figures/laws/comparisons); B (definitions/official titles); C (examples/opinions);

  • Risk: legal, reputational, decision-making (this orients A-priority work).

Semji’s advice: create a traceability table (ID, assertion, scope, expected sources, status, reviewer). It is simple, and remarkably effective.

Example:

ID Assertion Scope Expected source Criticality Status

1 “AIs reduce marketing costs by 30%” France, 2024 Gartner, 2024 study A To verify

In short, mapping the information means saving time, avoiding duplicates, and guaranteeing the reliability of your checks.

2. Source hierarchy and cross-checking

Information can only be judged reliable if it is cross-checked. Not all sources that confirm your information are equal in GEO. For that, follow a clear source hierarchy and cross-check them systematically.

Proceed by tiers and cross-check systematically:

  • Official/legal: government, authorities, Légifrance, Official Journal;

  • Academic/data: reports, datasets, publications with a DOI;

  • Institutional/professional: regulators, trade bodies, recognized research firms;

  • Media: context, but never the only source;

  • Independence: prefer evidence that is not derived from one another.

Example: A study announces: “The average salary in Europe reaches €3,200 in 2025.” This figure is true at European Union scale, but for France alone, INSEE reports €2,620. *⇒Without a precise scope, the claim becomes approximate and loses all GEO citation value.

Document three dates, “data from”, “published on”, and “accessed on”. That avoids anachronisms and proves traceability.

Example: Data from : INSEE, 2024 employment survey (January–December 2024) Published on : March 15, 2025 Accessed on : November 10, 2025 *⇒This triple dating proves the traceability of the information and prevents any anachronism when the data is cross-checked.

Cross-check thresholds (recommended):

  • Level A: ≥ 2 sources including ≥ 1 primary → publish without reservation;

  • Level B: 1 primary, or 1 primary + 1 consistent secondary → publish with a context note (“according to available official data”);

  • Level C: 1 source, if clearly flagged → publish only if the source is clearly identified and without generalization.

Example: A. Complete verification (≥ 2 sources including ≥ 1 primary) “In France, the unemployment rate is 7.5%.” → Confirmed by INSEE and Eurostat: data validated.

  • Partial verification (1 primary or 1 primary + 1 secondary) “Sales of generative-AI subscriptions doubled in 2024.” → OECD data cross-checked with Les Échos: consistent, but needs more precision.

  • Minimal verification (1 identified source) “60% of French people prefer local brands, according to a Nielsen study.” → Single source, to be cited explicitly in the text.

In short, the rigor of your cross-checks will make the difference between content that is consulted and content that AIs cite.

3. Tools that help with fact-checking

Structure a rigorous, efficient fact-checking workflow with scalable tools. A fluid methodology will benefit your GEO action plan, because organization is the foundation.

The essentials to deploy:

  • Traceability table: ID, assertion, scope, sources, statuses, reviewer, stored evidence;

  • AI control prompts: test each sentence with the fields “fact / justification / correction”; Example:

Atomic fact Status Justification Proposed correction

Renewable energy accounts for 40% of electricity production in France. ❌ Unsupported According to RTE (2024 electricity report), renewable energy covers about 29.8% of national production. The 40% figure corresponds to a European estimate. “In 2024, renewable energy accounts for 29.8% of electricity production in France according to RTE.”

ChatGPT was launched in 2023. ❌ Unsupported ChatGPT was launched in November 2022 by OpenAI, not in 2023. The GPT-4 version came out in March 2023, which creates the confusion. “ChatGPT was launched in November 2022 by OpenAI.”

Generative AI was used for the first time in 2020. ⚠️ Partially supported The concept of generative AI existed well before 2020 (GANs in 2014, transformers in 2017). Its public popularity, however, really begins between 2020 and 2022. “Generative AI became mainstream from 2020, but its first applications date from 2014 (GANs).”

Comprehensive home insurance is mandatory for all homeowners. ❌ Unsupported In France, it is not mandatory for owner-occupiers, only for tenants and co-owners. “Comprehensive home insurance is mandatory only for tenants and co-owners.”

  • Reverse image search (versions, contexts, first occurrences) + reading EXIF metadata;

Example: Verifying the origin of a viral photo. An image circulates on social networks with the caption: “Protest in Paris in November 2025.” ⇒ Reverse search (Google Images or TinEye): the image actually comes from a 2018 Reuters article in Madrid. Result: the photo is reused out of context. Correction: mention “Archive photo (Madrid, 2018)” or remove the image.

  • Timestamped capture extensions (screenshot + URL + date) and lasting archiving (permalink);

Example: You can archive a political statement. An official page states: “The State will invest 2 billion euros in AI by 2026.” ⇒ You take a timestamped capture with:

Why? If the press release is edited or deleted, your evidence stays archived, useful for a later check or a GEO audit.

  • Advanced search operators (site:, filetype:, intitle:, daterange) to get back to the primary source faster.

Example: You want to verify: “The unemployment rate is 7.5% in France.” ⇒ Search: site.fr “unemployment rate” 2025 Result: You find the official INSEE page with the exact figure. Why? The site.fr filter limits the search to the institutional site, and therefore to the primary source.

You can centralize your evidence in a folder (normalized names, dating, owner).

Semji’s advice: create a folder as a cloneable toolbox, so you gain productivity on all your checks.

Semji offers a dedicated module that automates part of this workflow directly in your editorial process.

How it works:

  • Automatic detection of factual assertions in your content;

  • Cross-checking against primary sources and reliable databases;

  • Centralized tracking table: status of each fact-check (validated / unsupported / partially verified);

  • Sourced correction suggestions, ready to integrate.

Why is this useful for your GEO strategy?

You secure the EEAT of your content before publication and reduce manual verification time at high volume. The tool fits the process: fact-check upstream, not in correction.

4. Reliability score

For each verified piece of information you must assign a reliability score. That lets you measure objectively the accuracy of the facts stated in your article. And at the same time, show the seriousness of the article to AI agents.

Assign a score out of 5 according to these criteria:

  • Provenance: primary source, identifiable producer;

  • Freshness: “data from / published on / accessed on” dates;

  • Corroboration: independent cross-check, order-of-magnitude consistency;

  • Bias & method: sample, exclusions, base 100;

  • Reproducibility: calculations that can be redone, archive permalinks.

Example:

Claim Context / Source Score Justification

“The employment rate in France is 68% in 2025.” INSEE (official report, published 04/2025, accessed 11/2025) ✅ 5/5 Primary source, dated, cross-checked with Eurostat. Verifiable and reproducible data.

“Generative AIs reduce content-production time by 40%.” McKinsey 2024 study, cited by several media outlets 🟢 4/5 Credible, dated study, but a single source. Partial cross-check.

“80% of French people trust AIs in healthcare.” Private-company survey with no methodology details 🟠 3/5 Plausible figure, but unknown survey base (sample not disclosed).

“AIs already replace 50% of marketing jobs.” Blog post with no source and no date 🔴 2/5 Unverifiable data, no visible methodology. Risk of exaggeration.

“France is the 3rd most digitized country in Europe.” Unsourced article, no reference to Eurostat 🔴 1/5 No primary source. False claim according to Eurostat (actual ranking: 10th).

Semji’s advice: write down the why of the score. Justifying it shows the path of the reasoning.

5. Decision: publish, rephrase, or remove

After these checks, you decide whether to publish, rephrase, or remove.

  • Publish if the score is ≥ 4/5, the scope is clear, and the cross-check is OK;

  • Rephrase if 2–3/5: add context (“according to a preliminary study”), bounds, margins;

  • Remove/Suspend if ≤ 1–2/5: unverifiable, massive bias, legal risk.

When the information is verified, capitalize on it. Make the evidence visible! Mention the source or sources, the dates, and the original links to show full transparency.

A verified publication gains credibility and GEO citability: LLMs more easily recognize its reliability and reuse it in their answers. Fact-checking is not a constraint. It is a guarantee: that of durable, traceable, trustworthy content. AIs analyze, recognize, and retranscribe. They will recognize the quality of your GEO.

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