SEO and GEO
Errors that prevent AI engines from understanding a company
AI engines struggle to understand a company when access, identity and evidence contradict each other. The problem is rarely in a single tag. It arises from the sum of technical blocks, vague pages and different information spread across the web.
Block the wrong crawler
Generic rules in robots.txt, WAF or CDN may prevent Googlebot, Bingbot or OAI-SearchBot. Test the response delivered to each agent. Remember that blocking tracking and preventing indexing are different controls; the crawler needs to access a noindex meta to read it.
Hide essential content
If the name, product, price or explanation only appears after interaction, login or unstable JavaScript, the recovery loses context. Keep important facts in accessible text and consistent HTML.
Mix categories
Phrases like “innovative solutions to transform businesses” do not define a product, audience or problem. Use specific language. Separate offers when intent and buyer change, but avoid creating nearly identical pages.
Have conflicting versions
Website, business profile, directory and press may show different names, addresses, portfolio and numbers. Choose canonical sources, update profiles, and date statements that change.
Publish commoditized content
Texts generated from the same summaries do not add evidence. Google recommends non-commoditized, experience-led content over scaled pages to capture search variation.
Use markup as makeup
Structured data that doesn't match the text creates inconsistency. llms.txt does not correct indexing and is ignored by Google Search as a special signal. First fix the page that people and crawlers actually use.
Do not show authorship or source
Data without method and opinions without responsible are difficult to verify. Identify author, scope, date and references when relevant.
Measure a response as truth
Generative results vary. An isolated test can lead to erroneous changes. Use sets of prompts, repetitions and platform data.
Correction starts with the chain: access, canonical, entity, content, evidence, authority and measurement. The GEO audit helps to locate at which stage understanding is lost.
Read also
GEO audit: what should be analyzed
Here's what a GEO audit should evaluate: prompts, citations, competitors, crawling, indexing, entities, content, authority, and measurement.
SEO and GEOHow content, indexing and authority influence visibility in AI
Understand how useful content, correct indexing, and verifiable authority work together to increase eligibility and citability in AI engines.
SEO and GEODoes LLMS.txt improve visibility in Google AI?
No: Google states that it ignores llms.txt. Understand the purpose of the file, when it can be useful and what to prioritize for AI Overviews and AI Mode.