How to Do a Real Competitor Analysis With Hexomatic and AI
Most people do competitor analysis like this:
Open ChatGPT, type “analyze my competitors,” read the confident output, and treat it as research.
That’s not research. That’s the model guessing based on patterns from its training data, not from what your competitors actually say today.
The fix is not a better prompt. It’s giving AI something real to read.
This guide shows a practical three-stage workflow using Hexomatic: find competitors via Google Search, scrape their websites in full, then run structured AI analysis on the actual content.
Why “AI only” competitor analysis breaks
When you ask an AI model to analyze competitors without feeding it current data, it does a few things:
Invents or assumes pricing
Misses newer competitors that rank today
Groups distinct positioning into the same generic bucket
Produces recommendations that sound smart but apply to any business in your category
This happens because the model cannot read the live web mid-conversation. It draws on training data, which cuts off at a point in time and never included your specific local market anyway.
The output feels useful. It rarely is.
Stage 1: Find competitors using Google Search scraping
Do not start with a list of competitors you already know. Start where your customers start: Google.
In Hexomatic, use the Google Search Scraper automation. Feed it a list of search queries relevant to your niche. For a grill cleaning business, that looks like:
grill cleaning miami
grill repair miami
outdoor kitchen cleaning miami
grill maintenance miami
For each query, Hexomatic returns the ranked results including business name, URL, page title, and description snippet. Run 5 to 10 searches and you will typically surface 15 to 25 unique competitor domains worth looking at.
Why this matters: Google results are a real-time proxy for what the market actually sees. Scraping them gives you a competitor list grounded in current rankings, not memory or assumption.
Stage 2: Scrape competitor websites in full
Once you have a list of competitor domains, do not guess which pages exist. Let the site tell you.
In Hexomatic, run the Website Crawler on each competitor domain and on your own website. It maps every publicly accessible URL: services pages, pricing, FAQs, location pages, anything they have published. Do this for all competitors and for yourself.
Then pipe the full URL list into the Page Content Extractor. It pulls visible text from every page, headings, paragraphs, lists, tables, all of it. No HTML parsing needed. Clean text is exactly what AI works best with.
Because you crawled first, you catch pages you would never have thought to look for. A dedicated deep-clean service page, a seasonal promotion, a coverage area breakdown. Nothing gets missed.
What you end up with: A flat dataset with company name, URL, and extracted content. Every service claim, pricing cue, and positioning angle each competitor has published, alongside your own, all in one place.
Stage 3: Analyze with AI using structured prompts
Now AI can actually do its job, because you gave it something real to read.
Download the extracted content and paste it into Claude, GPT, or any model you prefer. The key is structured prompts that constrain the output to what is in the data.
Prompt 1: Build individual summaries
For each company in the dataset, summarize:
- Services offered
- Pricing approach (transparent, quote-based, packages)
- Positioning and tone (budget, premium, fast, eco, local)
- Service area
- Trust signals (reviews, guarantees, certifications)
- Any stated differentiators
Use only the provided page content. If a data point is missing, write "not found." Do not infer or assume.Prompt 2: Build a comparison table
Create a structured comparison table across all companies with these columns:
Services | Pricing style | Guarantees | Coverage area | Differentiators | Tone
Base the table strictly on the extracted content provided.Prompt 3: Find gaps and opportunities
Based on the comparison table, identify 5 specific gaps where [your business] could stand out.
Organize into three categories:
- Messaging gaps (things competitors are not communicating clearly)
- Offer gaps (services or packages nobody is offering)
- Trust gaps (signals competitors are missing)
Support each gap with evidence from the dataset.Prompt 4: Rewrite your positioning
Using the comparison data, propose 3 distinct positioning angles for [your business] that are not already claimed by competitors.
Each angle should include a one-line positioning statement and the evidence from the data that supports it.The critical instruction across all prompts: “use only the provided data, do not infer or assume.” This is not optional. Without it, the model will fill gaps with plausible-sounding fabrication.
What changes when you do this vs. AI only
Run the lazy prompt after you complete the workflow:
“Compare my business to competitors in Miami.”
Then run the same prompt with your scraped dataset attached.
The difference is immediate. The data-backed version:
Quotes actual language competitors use
Identifies specific pricing model differences
Catches positioning overlaps you would have missed
Gives recommendations tied to real gaps, not generic advice
The model did not get smarter. You gave it something real to think with.
Setting this up in Hexomatic
Input your list of search queries into the Google Search Scraper
Crawl each website and pipe the output URLs into the Page Content Extractor
Export results to CSV
Feed the content into the AI with your structured prompts
You can schedule this to run quarterly and track how competitor messaging shifts over time. It takes about 15-20 minutes to set up the first time.
Practical note on scraping responsibly
This workflow targets publicly visible pages: homepages, service descriptions, pricing, FAQs. Nothing gated, nothing requiring login. Hexomatic handles rate limiting automatically, so you are not hammering anyone’s server. If a competitor uses a robots.txt restriction, respect it and skip that domain.
Don’t want to do it yourself?
If you’d rather skip the setup entirely, Hexomatic’s Concierge Service has you covered. Give us your brief and we handle the crawling, scraping, and data delivery. No workflow building, no configuration, just the results.
If you’re working at an enterprise level, think multiple markets, large competitor sets, or high-volume recurring data needs, book a video call with our team. Walk us through your case and we’ll put together a custom quote built around your specific requirements.
