Resume & ATS
Most resume tools match keywords. The best resumes match the company. Here's how to tailor your resume to what a company actually does—not just what its job post says.

Here's what most job seekers do: they paste a job description into a tool, get a list of missing keywords, add those keywords to their resume, and call it “tailored.”
This approach has a problem. It helps your resume pass the ATS filter—but it does nothing to help you stand out to the human who reads it next. A keyword-stuffed resume hits the right terms but tells no coherent story about why you're the right fit for this specific company.
Think about it: if you're applying to Anthropic (an AI safety company) and Salesforce (an enterprise CRM company), should your resume look the same just because both job posts mention “cross-functional collaboration” and “stakeholder management”? Of course not. But keyword matching treats them identically.
The keyword matching cycle:
Keywords get you past the robot. But they don't get you past the recruiter. For that, you need something deeper.
Company-aware tailoring starts with a question most job seekers skip: What does this company actually do?
Not just “what skills does the job require”—but what is the company's industry, product, mission, and domain? Once you understand that, you reframe your entire career narrative through their lens.
Keyword matching
“The job says 'cross-functional collaboration'—let me add that phrase to three bullet points.”
Company-aware tailoring
“This is an AI safety company. My experience building responsible tech products and working with ML teams should lead every section.”
The difference is narrative framing. With keyword matching, you're inserting terms. With company-aware tailoring, you're telling a story about why your career has been building toward a role at this type of company.
Recruiters feel the difference immediately. One resume reads like a template with swapped keywords. The other reads like a candidate who genuinely understands their world.
Let's say you're a product manager with 8 years of experience across SaaS, fintech, and developer tools. You're applying to two companies. Watch how company-aware tailoring changes the narrative.
Professional Summary:
“Product leader with 8 years building developer-facing tools and technical platforms. Led cross-functional teams shipping ML-powered features to 50K+ users, with deep experience translating complex technical capabilities into intuitive product experiences. Passionate about responsible AI deployment and human-centered design.”
Top experience bullets:
Professional Summary:
“Product leader with 8 years managing regulated, data-sensitive platforms at scale. Led HIPAA-compliant feature development and cross-functional launches impacting 200K+ end users. Deep experience with compliance workflows, user safety, and translating complex requirements into streamlined product experiences.”
Top experience bullets:
Same person. Same career history. Completely different stories. The AI company resume leads with technical depth and ML experience. The healthcare resume leads with compliance, safety, and regulated environments. Both are truthful—they just emphasize different parts of the same experience.
Before you tailor a single bullet point, answer these three questions about the company. This takes 5–10 minutes and completely changes the quality of your resume.
Identify the core product, service, or mission. Not from the job description—from the company's website, about page, and recent press.
Example: “Anthropic builds large language models with a focus on AI safety research. Their main product is Claude, an AI assistant.”
Read between the lines of the job description. Why is this role open? What team challenge does it address?
Example: “They're hiring a product manager for their API platform. The role focuses on developer experience—they need someone who can translate complex AI capabilities into tools developers actually want to use.”
Now look at your own career through the company's lens. Even tangential experience becomes relevant when framed correctly.
Example: “I built a developer documentation portal at my last company. I worked with ML engineers on a recommendation feature. I've shipped API products. All of this connects to Anthropic's developer platform focus.”
Recruiters read hundreds of resumes a week. They can spot a keyword-stuffed resume in seconds. It's the one where every bullet point awkwardly includes the same three phrases from the job description, but the career narrative doesn't add up.
Keyword-stuffed resume signals:
Company-aware resume signals:
The irony is that company-aware tailoring often includes fewer keyword additions. Instead of adding 15 terms from the job description, you're reframing 3–4 existing experiences to tell a story the recruiter connects with. Quality over quantity.
Doing this manually for every application works—but it takes 20–30 minutes per resume. When you're applying to 10+ jobs a week, that adds up fast.
Landera's resume generator does this automatically. When you paste a job description, our AI doesn't just extract keywords. It analyzes what the company does—its industry, product, and mission—then reframes your career narrative through that lens:
The result is a resume that reads as if you've been building toward a role at this type of company—generated in 30 seconds from your Master Resume.
Landera analyzes what the company does and tailors your resume to their world. Your experience, their lens.
The complete guide to resume tailoring—from Master Resume to targeted applications.
Keywords still matter—but they're step one, not the whole strategy.
How to use AI tools effectively without sounding generic or getting flagged.
The formatting and structure rules that get your resume past automated screening.