AI-Driven Technology for Business Growth
Making Sense (makingsense.com) scores 84 out of 100 on Brand Analyzer, placing it in the Strong Brand tier among Technology brands, SaaS brands, Finance brands, in the 85th percentile of 48947 Technology brands.
Making Sense is a technology consulting firm that helps mid-market companies and private equity-backed businesses grow through AI implementations, intelligent automation, and digital transformation. Drawing on over two decades of technology leadership and expertise in AI, UX, and product design, the company develops tailored technology solutions across industries such as agtech, fintech, healthcare, and legal, aiming to move clients from uncertainty to measurable business impact.
| Brand Name | Making Sense |
|---|---|
| Domain | makingsense.com |
| Industry | Technology, SaaS |
| Main Competitors | Thoughtworks (81/100), Globant (91/100), EPAM Systems (92/100), West Monroe (84/100), Slalom (88/100), Perficient (87/100), Accenture (97/100) |
Moz Domain Authority 36/100 vs category average 39 / leader 100 - limited third-party links, so AI systems rarely encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "We help mid-market companies and private equity-backed businesses grow through AI implementations, intelligent automation, and digital transformation." (Meta description: 17 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Next.js, Nginx.
Social footprint: verified profiles on LinkedIn, Instagram, X (Twitter), Facebook, GitHub; no detected presence on YouTube - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Making Sense?", Claude could identify the brand as of October 2026. Making Sense is a software development company that provides nearshore staff augmentation and custom software engineering services, connecting Latin American tech talent with mostly US-based clients. Best known for Nearshore software development and IT staff augmentation services for North American companies.
When asked "Best brands similar to Making Sense?", Claude would recommend Making Sense as of October 2026. It's a recognized player in the nearshore software outsourcing space, so it could come up alongside similar staff augmentation and custom development firms.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Making Sense's main competitors in Technology: Thoughtworks (81/100), Globant (91/100), EPAM Systems (92/100), West Monroe (84/100), Slalom (88/100).
Sources: Brand Analyzer scan
Making Sense has limited AI-search visibility, scoring 31/100 on Brand Analyzer's AI visibility composite (visibility 13, trust 42, recommendation 51). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Making Sense official site
Making Sense scores 51/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Making Sense official site
Making Sense is a technology consulting company that helps mid-market and private equity-backed businesses implement AI, automation, and digital transformation solutions.
Sources: Making Sense official site
Making Sense helps mid-market companies and private equity-backed businesses grow by implementing AI solutions, intelligent automation, and digital transformation strategies, drawing on expertise in AI, UX, and product design.
Sources: Making Sense official site
Making Sense can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Making Sense official site
Making Sense offers AI implementation services, intelligent automation solutions, and digital transformation consulting, including UX and product design expertise tailored to industries like agtech, fintech, healthcare, and legal.
Sources: Making Sense official site
Making Sense is used by mid-market companies and private equity-backed businesses seeking to scale operations, reduce costs, and adopt AI-driven technology solutions.
Sources: Making Sense official site
Making Sense scores 31/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Making Sense has a weak AI-visibility profile at 31/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (51/100) and its weakest is visibility (13/100). It benefits from a Wikidata knowledge-graph entry, open access for AI crawlers (GPTBot, ClaudeBot, etc.) and machine-readable schema.org markup. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, a low Moz Domain Authority of 36/100 and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Making Sense from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Making Sense: Makers (84/100), MakerBot (84/100), Maltego (84/100), ManageBac+ (84/100).
A step up - brands to learn from: Zuken (91/100), Zoom (91/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.