Summarize with AI
An AI search startup website has to say what your product searches in its first sentence, and then prove it with one real query and the answer your product gave. Papers, contracts, support tickets or a company's own files: name the collection, name who searches it, and show a search a stranger in that job would actually run.
The word search on its own describes every product with a box in it. You know exactly what is in your index, because you built the pipeline that fills it. A visitor knows nothing about it, and decides in about four seconds which drawer to file you in. If the page does not name the collection, the visitor guesses, and most of them guess wrong.
Find anything, instantly, and a box typing marketing plan
Picture an AI search startup, as an example. It searches published biomedical papers, preprints and a lab's own electronic notebook, and it answers in a few sentences with numbered sources. The buyers are research teams at small biotech companies.
The homepage tells you none of that. The headline reads Find anything, instantly. The subhead reads AI search that understands what you mean. In the hero sits a search bar, and an animation types marketing plan into it, one letter at a time. Three result rows fade in underneath as grey bars with no text on them. Two buttons of the same size sit below: Get started and Book a demo.
Section two is three cards: Semantic, Secure, Lightning fast. Section three is a strip of investor logos. The words papers and lab notebook first appear in section five, under a heading that reads Integrations, inside a grid of twelve small icons. Google Drive is in that grid. So is Notion. The one icon that matters to a scientist, the paper database, sits in the third row.
Now picture the visitor. She runs a small computational team at a biotech company and spends her Fridays reading papers. She reads Find anything, watches the box type marketing plan, and files the product next to the workplace search tools that sales teams buy. She closes the tab in under ten seconds. The thing she needed was on the page, five sections down.
He types a real question on every call and never on the site
The founder sells this product well in a room. On every first call he asks the prospect for a question they had last week. Then he types it in full, something like which capsids have reached retinal cells in primate studies since 2021. The answer comes back as three sentences, each with a small number at the end. Under it sit four paper cards and one card from the team's own notebook. Prospects ask him to send a screenshot.
None of that reaches the homepage. He chose marketing plan for the animation because everyone understands it. The demo form now fills with marketing agencies and recruiting firms who want to search their shared drive. His one salesperson spends Tuesday mornings writing polite no-fit emails.
He has rewritten the headline twice. Find anything, instantly became Search that thinks like you do, then Answers, not links. Each version was sharper about the benefit and no clearer about what gets searched. He has read the page a hundred times, and every time his head fills in the papers and the notebooks. A stranger's head fills in whatever she searches at work.
Search without a what is every product at once
Most homepage advice tells AI founders to lead with the outcome. For a search product that advice fails, because the outcome is the same for every search product ever made. Find the thing faster. Get the answer instead of ten links. A law firm tool, a support ticket tool and a paper tool all promise exactly that.
What makes two search companies different is the corpus, the collection being searched. Two startups with the same model, the same RAG pipeline and the same interface are different businesses if one indexes court filings and the other indexes sales calls. The collection decides who the buyer is, who you compete with and what a good answer looks like. It is the product.
This is a narrower job than naming your product category on the homepage. The noun search gets you into the right aisle. Only the collection gets you onto the right shelf. And anything is the worst word you can put there. Every reader knows you cannot search their email until they connect it, so the promise is not believed, and it hides the collection you spent a year building. A narrower first sentence brings fewer visitors who stay and far fewer who never should have come.
What the wrong visitor costs a search product
Every visitor was paid for, in ad spend, in content, or in the founder's hours on LinkedIn. A vague hero wastes that money on every product. A search product pays a second time, after the sign-up.
A marketing team that signs up for the paper tool will run a dozen searches for things that are not in the index. Each search is a retrieval and a model call, and each one costs real money whether the answer is useful or not. AI product builders average around 52 percent gross margin, against 70 to 80 percent for traditional software, because inference sits in the cost of goods. A free trial full of the wrong people spends margin on queries that were never going to work.
Then the same people fail to activate. Measured on SaaS and product-led companies, activation runs 20 to 40 percent for most products. A sign-up who expected to search a shared drive and found an empty paper index will never activate, and she drags down the number an investor reads at the next raise. The page made the mistake. The product's metrics carry it.
Freeze one real query on the first screen
Rebuild the hero, still as an example. The headline names the collection and the person: AI search for biotech research teams, across published papers, preprints and your own lab notebook. Nothing in that sentence is clever. A scientist can read it once and know whether it is for her.
Under it, replace the typing animation with one frozen search. Show the full query, exactly as a scientist would type it, constraint and date included. Show the answer as the product returns it: three short sentences, each ending in a number. Under the answer, show the source cards: three papers, each with title, journal and year, and one notebook entry with a date and the author's initials. One small line sits under the whole thing: Real query. Answer not edited. Four sources.
Pick the hardest query you can honestly show, not the easiest. A typed animation of a two-word search tells a visitor nothing, because any search box can find marketing plan. A long question with a species, a date range and a method in it is where keyword search breaks and yours does not. On the website we designed and built for Chariot, a speech reasoning lab, the text to speech demo opens on a tricky line, not a friendly one: a meeting moved from 3:05 p.m. to 4:30, two names and an instruction about tone. The hard input is the proof. A search hero works the same way.
How the answer and its sources sit on the results page inside your product is its own design problem, covered in AI search results page: answer or ten links. On the homepage you need only one example of it, frozen and readable without a click.
A sources list with dates beats a wall of logos
The integrations grid is the second place where the page says anything. Twelve logos of equal size tell a visitor that the product connects to many things. They do not tell her what is in the index today, how fresh it is, or what is missing.
Replace the grid with a short list written as plain text. Published papers: abstracts and open access full text, updated every night. Preprints: updated every night. Your lab notebook: synced every hour once connected. Then add one line most founders leave off: Not searched yet: patents and clinical trial registries. That line costs you nothing with the right buyer, and it saves the wrong buyer a sign-up.
A limit stated plainly makes the rest of the list believable. It also answers the question every careful buyer of AI search asks first, which is whether the answer will hallucinate a source that does not exist. A list that says exactly where answers come from is the beginning of that answer.
Search box or Book a demo: let the corpus decide
The last decision is the main button, and the collection makes it for you. If what you search is public, let visitors search before they sign up. Put a working box on the page, with three suggested queries written in the buyer's words, and allow a few searches without an account. Nothing sells a search product like a stranger's own question answered well.
If what you search is the customer's private data, a box on the homepage cannot work, because it has nothing of theirs to search. Show a sample workspace for a named, made-up company instead, with one query and its sourced answer, and make Book a demo the single main button. If you search both, like the example here, do both: an open box for the papers, and a demo for the notebook. What does not work is two buttons of equal weight, so the visitor has to pick a path you never chose.
Rewrite the hero this week
- Write one sentence that says what your index holds: the sources, who they belong to and how fresh they are. If the word anything appears, start again.
- Make that sentence your headline, or the line directly under it. The collection should be readable before any scroll, on a phone.
- Pull ten real queries from your logs, with names and customer details removed. Pick the one keyword search fails on and your product answers well.
- Freeze that query, its answer and its sources as the hero image. Delete the typing animation.
- Turn the logo grid into a plain sources list with dates, and add one honest Not searched yet line.
- Pick one main button by the rule above: an open search box for a public collection, Book a demo for a private one.
- Show the new first screen to someone in your buyer's job for five seconds, then hide it. Ask what the product searches. If she cannot say, go back to step one.
If you would rather hand this to a team, our shortlist of website design agencies for AI search products compares studios by the work they have shipped.
Studio Maydit is a web and product design studio for AI founders in the US, UK and Europe. We design and build in Framer, Webflow and custom code, and our website design work runs as a fixed scope of three to four weeks. If your demo names what you search and your homepage still says anything, book a 30 minute call with us.
