GEO action plan in 90 days for industrial SMEs: week by week

GEO action plan in 90 days for industrial SMEs

Positioning in generative artificial intelligence does not happen overnight. But it is not a years-long project that requires a large team either. With a reasonable level of dedication —between three and six hours per week— and the right plan, an industrial SME can move from Profile A to Profile B in 90 days and build the foundations to reach Profile C in the following six months.

If you have not read the previous articles in this series, we recommend starting with the diagnostic article, Article #2 in this series on “Positioning in ChatGPT,” which will give you the baseline from which to measure the progress of this plan.

You can read it here —> “GEO Diagnosis: how to know whether your industrial company is invisible to AI”

Weeks 1-2: Audit and starting point

The first phase is about listening and diagnosis. No article is written, and nothing on the website is changed yet. The goal is to understand exactly where you are and build a clear map of the priority actions.

The 5-pillar diagnosis

Start with the five questions for ChatGPT and Perplexity described in Article #3. Document the full responses with screenshots or a literal copy of the text. This will be your baseline for measuring progress at the end of the 90 days. If you still do not know what the pillars of positioning in ChatGPT are, you can read our article here —> https://smart-team.io/en/5-pillars-positioning-chatgpt-industrials/

Then complete the 12-point checklist. For every point you cannot check off, note what is needed in order to check it off. At the end of this exercise, you will have a list of specific tasks for each of the five pillars.

The NAP audit

Search for your company name on Google (the first two pages) and list every site where it appears. For each one, verify the consistency of the NAP: name, address, phone number. Document all inconsistencies in a spreadsheet with three columns: platform, incorrect data, correct data. This spreadsheet will become the correction guide for the next phase.

The content map

Identify the five most relevant technical topics for your company: the five questions customers most frequently ask before hiring you. These are the seeds of the technical articles you will write in the following weeks. Write them as specific questions, not as generic topics. “What tolerances can be achieved in 5-axis machining for titanium parts under 50 mm?” is a much better article seed than “titanium machining.”

Free tools for this phase

• ChatGPT and Perplexity: AI visibility diagnosis.
• Google Search Console: analysis of the website’s current indexing status and organic traffic.
• Moz Local Check (com/local/search): verification of NAP consistency in the main directories.
• Schema Markup Validator (validator.schema.org): verification of whether the website already has structured data implemented.
• Google Business Profile Manager: audit and first correction step for the company profile.

Weeks 3-6: Foundations

The second phase is about building the technical foundation. Two lines of work run in parallel: correcting the data infrastructure and producing the first piece of authoritative technical content.

Data correction and Schema Markup

With the list of NAP inconsistencies documented in the previous phase, start with the highest-authority platforms: Google Business Profile, LinkedIn, and the corporate website. Correct the name, address, and phone number so they are exactly the same on all three platforms. Then move on to the platforms with the most traffic: Kompass, Europages, and industry directories.

At the same time, implement the minimum Schema Markup on the website: Organization on the home page and Service on each service page. If the website is on WordPress, the Yoast SEO or Rank Math plugins make it possible to do this without touching the code. If the website uses a different CMS, you will need to insert the JSON-LD manually into the HTML code of each page or through Google Tag Manager.

The three pages you should optimize first

The home page is the most important. It should answer three questions in the first three lines: who you are, what you do, and for whom. No fluff, no corporate metaphors, just precise technical terms. Add the Organization Schema. Make sure the text explicitly mentions your geographic area, your sector, and your main technical capabilities.

The main service page —the service that generates the most customer inquiries— is the second priority. Add Service Schema. Include technical capabilities expressed in concrete figures: tolerances, production capacity, materials you work with, certifications you hold, and sectors you have worked for.

The “About us” or “Who we are” page is the third. AI models value documented history and track record. Years of experience, relevant milestones, served industries, recognitions, number of completed projects. Anything that shows the company has history and continuity.

The pillar article: the most important task in this phase

The pillar article is a long technical text —between 2,500 and 4,000 words— that answers in depth the most important question a potential customer of yours can ask. It is the first and most important content asset your company will create for AI positioning.

To identify the topic, answer this question: what is the technical question customers most frequently ask before deciding to hire you? That question is the topic of your pillar article. Write it with the same depth you would use to explain it to a sophisticated client who genuinely wants to understand what it is about. Include concrete data, technical parameters, and application examples.

Production tip

Do not try to write the pillar article in one day. Start by creating a structure with 10 to 12 subheadings. Develop each subheading with two or three paragraphs. In total, that means between 20 and 30 short paragraphs —about two or three hours of work spread across the week. Quality is more important than speed.

Weeks 7-10: Amplification

With the technical foundation in place, the third phase focuses on expanding external presence: making sure that the sources AI consults in addition to your own website also talk about you using the correct information.

The 5 priority platforms for the industrial sector in Spain

Kompass Spain (es.kompass.com): create or claim your profile and complete it with the highest possible level of detail. Sector, subsector, capabilities, markets, certifications, number of employees, founding year. Every field you complete is structured data the model can process.

Europages (europages.es): especially important if you export or want to export to Europe. The platform is crawled by models in the context of searching for European suppliers and has high domain authority in that context.

PIMEC or Cecot (depending on your area): if you are a member, verify that your profile is complete and up to date. If you are not a member, joining may be justified by the impact on AI visibility alone, regardless of the association’s services.

LinkedIn Company Page: during this phase, publish at least two updates per week. The content can be short —it is not necessary for every post to be a long article— but it must be technically specific to your sector. Mentions of recent projects (without revealing confidential data), reflections on industry trends, updates about machinery or processes, open questions to the community.

Google Business Profile: publish one update per week using the platform’s “posts” feature. Share the pillar article, announce services, mention recent certifications. Actively request reviews from customers you have worked with recently.

How to get mentions in authoritative sources

Send a press release to specialized media in your sector when you have something relevant to communicate: an investment in new machinery, an important contract (if the customer allows it), a quality certification, the incorporation of a new process technology. Industry media such as Interempresas, Metalmecánica, or your cluster’s publications usually publish this kind of news for free if the content has real informational value.

At Smart Team, we have a network of Spanish-speaking media outlets and industry websites to ensure the highest possible level of exposure for your brand and content. Ask about our Digital PR services

Weeks 11-12: Measurement and adjustment

The final phase of the first quarter is about measuring, comparing, and adjusting. The goal is not only to know whether AI visibility has improved: it is to understand what has worked best so you can prioritize the work of the following quarter.

How to measure without paid tools

Repeat exactly the same five questions from the initial diagnosis in ChatGPT and Perplexity. Compare the responses with those you got in week 1. The improvements you observe —or the lack of them— will tell you which pillars have had the greatest impact and which need more work.

In addition to the direct questions, review these secondary metrics, which act as leading indicators of AI positioning: organic traffic to the new technical content pages in Google Search Console, the evolution of the number and average rating of reviews in Google Business, and LinkedIn metrics for the posts from the last four weeks.

The plan for the next quarter

With the data from the week 12 diagnosis, adjust the plan for the second quarter. If the content pillar has improved the most, scale up the production of technical articles. If the reputation pillar is still weak, implement a more active review acquisition process. If external presence is still insufficient, prioritize getting mentions in specialized media.

Positioning in AI is a process of progressive consolidation. The second and third quarters of consistent work are typically when the most visible results begin to appear regularly.