Perplexity AI Review: The Research Tool That Replaced Google for Us

We stopped Googling 6 months ago. Not entirely—but for anything that requires synthesis, comparison, or current information, Perplexity is now our default. We test Perplexity Pro against free searches and ChatGPT daily. Here’s what we found.

What Perplexity Actually Does

Perplexity is an AI search engine. You ask a question, and instead of getting a list of links, you get an answer built from real sources. It reads web pages for you, synthesises information, and cites where it found everything.

In practice, this is powerful:

Traditional Google search: You search “UK AI funding 2026,” get 47 results, click 4-5 links, read summaries, cross-reference information, and piece together an answer in 10 minutes.

Perplexity: You ask the same question. Perplexity reads the top articles, analyses them, and gives you a structured summary with exact citations in 30 seconds.

The difference is staggering once you use it.

Free vs Pro: Real Differences

Free Tier (£0)

• 5 searches per day
• Basic research mode
• Standard response quality
• No priority on newer models
• Limited to standard sources

Perplexity Pro (£16/mo)

• Unlimited searches
• “Pro Research” mode (thorough, slower, more citations)
• Priority access to newer models
• Academic search (access to peer-reviewed papers)
• Upload documents (find citations within your files)
• Longer context handling

We tested both extensively. Free tier is genuinely useful—but 5 searches per day is crippling if research is part of your work. Most people who use Perplexity genuinely use it multiple times daily.

For £16/mo, Pro is excellent value if you do any research work.

Citation Quality: The Critical Test

Perplexity’s entire value proposition rests on one thing: citation accuracy. If Perplexity cites sources but those sources don’t actually support the claim, it’s worthless.

We tested this rigorously. We asked 30 research questions across topics like:

• Recent UK tech company valuations
• Clinical trial data for medical conditions
• Product feature comparisons
• Market share statistics
• Scientific claims

Result: Perplexity cited correctly 94% of the time.

The 6% failure rate was mostly edge cases—slightly outdated data, or citations to tangential sources. But crucially: we never caught Perplexity claiming something a source explicitly contradicts. The citations are honest.

Compare this to ChatGPT, which hallucinates facts confidently without citations. Even GPT-4 will invent a statistic and sound absolutely sure of it.

Perplexity vs Google: Honest Comparison

Perplexity isn’t “Google replacement” in every situation. Here’s where each wins:

Honest truth: You’ll still use Google. But you’ll use it 30-40% less often because Perplexity handles your initial research much faster.

Real-World Use Cases We Tested

Market Research

We asked Perplexity: “What’s the current UK market size for AI-powered SaaS tools, and who are the top 5 vendors?”

Perplexity synthesised data from Gartner, industry reports, and recent funding announcements. Result: a structured breakdown with actual figures and citations. We cross-checked every number. All correct.

Google would have given us a list of 50 links. We’d spend 20 minutes reading. Perplexity gave us the answer in 2 minutes.

Competitive Intelligence

We researched “What features does Claude Code have that GitHub Copilot doesn’t?”

Perplexity compared announcement pages, feature docs, and technical reviews. Citations were direct links to source material. Accurate.

Learning New Topics

We asked: “Explain how transformer neural networks work, starting from basic principles.”

Perplexity gave a structured explanation with citations to research papers and educational resources. Quality was university-level.

This is where Perplexity shines. Google would give you a list of articles. Perplexity teaches you.

Where Perplexity Genuinely Struggles

Hallucination Despite Citations

Perplexity is good but not perfect. In rare cases, it’ll cite a source that doesn’t actually support what it claims. We caught this 2-3 times in heavier testing. It’s infrequent (94% accuracy is solid), but it happens.

Always check citations before publishing anything critical.

Niche and Emerging Information

If something happened in the last 48 hours, Perplexity sometimes misses it. Google’s real-time indexing is actually better for breaking news.

We tested asking about a funding announcement from that morning. Perplexity didn’t have it yet; Google did.

Can’t Understand Images Well

Perplexity doesn’t analyse images effectively. If your research involves comparing screenshots, visual data, or diagrams, you’ll need to describe them or use Claude instead.

Limited to Web Sources

Perplexity can only cite sources it finds online. For academic papers you have locally, paywalled journals, or proprietary databases, it’s useless.

Pro’s document upload helps somewhat—but it’s not a replacement for access to full academic databases.

Perplexity Pro Features Worth Money

Pro Research Mode

This is the killer feature. Instead of a quick response, Pro Research digs deeper, reads more sources, and builds a more thorough analysis. Takes 30-60 seconds instead of 5.

We tested this on complex questions. Pro Research consistently found nuance and nuance that quick search missed.

Academic Search

Pro users access scholarly articles and research papers. For anyone in research, education, or serious intellectual work, this alone might be worth the subscription.

Collections & Saves

Pro lets you save and organise research. You can build a research repository on a topic and revisit it.

Pricing & Value

If you do 5+ research queries per week, Pro pays for itself immediately.

Real Workflow: How We Use It

Day 1: Research competitor features

• Used Perplexity Pro Research mode
• Asked detailed comparison question
• Got citations to feature pages and announcements
• Time investment: 3 minutes

Day 2: Check recent market data

• Asked Perplexity about latest SaaS funding trends
• Got recent announcements with links
• Verified a claim we were planning to make
• Time investment: 2 minutes

Day 3: Learn about regulatory change

• Asked Perplexity about new AI regulation in UK
• Got comprehensive summary with links to policy documents
• Understood implications without reading the full 50-page document
• Time investment: 4 minutes

Total weekly time saved: 2-3 hours we would have spent Googling.

Honest Limitations

It’s not a thinking partner. If you need to brainstorm, get creative feedback, or think through complex logic, Claude is better. Perplexity is purely about finding and synthesising existing information.

It’s not a content writing tool. The text is functional but bland. You can’t ask Perplexity to “write a funny blog post about X.” It’ll write a boring summary instead.

It hallucinates occasionally. Not as often as ChatGPT, but it happens. Always verify citations, especially for claims that are important.

Perplexity vs Claude for Research

Both tools are good for research, but they serve different purposes:

Use Perplexity when:

• You need current information (real-time web search)
• You want citations you can verify
• You’re synthesising information from multiple sources
• You want a quick answer without context

Use Claude when:

• You’re thinking through a complex problem
• You need to analyse documents you provide
• You want nuanced reasoning, not just facts
• You’re writing something, not just researching

In practice, we use both. Perplexity for the initial research phase. Claude for analysis and writing.

FAQ

Q: Does Perplexity hallucinate?

Rarely, but yes. It hallucinates less often than ChatGPT (maybe 3-6% of the time), but it happens. The key difference: Perplexity cites where it got information, so you can verify. ChatGPT just makes things up confidently with no citations.

Q: Are the citations actually accurate?

94% of the time in our testing. Occasionally citations are slightly tangential or outdated. Always click through and verify important claims.

Q: Can I use Perplexity for commercial research?

Yes. Pro’s terms permit commercial use. You can research for client work, business decisions, competitive intelligence—all fine.

Q: How does Perplexity compare to ChatGPT with web search?

ChatGPT with web search is good, but Perplexity is more transparent about sources (citations are prominent and clickable). Perplexity is faster and has better academic search. ChatGPT is better for multi-step reasoning. For pure research, Perplexity wins.

Q: Is the free tier worth using?

Five searches per day is genuinely limiting. Fine for occasional use, but if research is part of your work, Pro is much better value than paying £16/mo for unlimited searches means you’ll actually use the tool freely.

Q: Can I upload my own documents?

Pro users can upload PDFs, documents, and files. Perplexity will search within those files and cite them. Useful for analysing your own research.

Verdict

Perplexity replaced Google for us because it’s faster, more transparent, and better at synthesis. For anything involving research, learning, or fact-checking, it’s the best tool available.

The free tier is useful for casual testing. Pro is genuinely worth £16/mo if you do any serious research work.

The only reason not to use Perplexity is if you need AI for creative writing (use Claude), image generation (use Midjourney), or multi-step coding reasoning (use Claude again). For research and synthesis, Perplexity is unmatched.