The Prediction
Gartner's February 19, 2024 press release predicted that traditional search engine volume would drop 25% by 2026 as users shift to AI chatbots and virtual agents (Gartner press release). For a deeper analysis of what is publicly verifiable about that prediction's accuracy as of early 2026, see our companion post Gartner's 25% Search Drop Prediction by 2026 — What's Verifiable Right Now.
This post is the complementary action piece: regardless of whether the 25% figure ends up exactly right, the directional shift toward AI-mediated discovery is real. Here is what a SaaS founder can do about it in 30 days.
A 30-Day Action Plan
Week 1: Audit Your Current State
Run your website through an AEO audit. Read what each AI engine actually says about your product. Check your Bing indexing status. Search for your product category in ChatGPT, Perplexity, Gemini, and Claude — do you show up?
If you would rather have someone read every engine response and write the fix list, EurekaNav offers a one-shot audit ($79, eurekanav.com/audit). PDF in 5 minutes, 30-day refund.
Week 2: Fix the Foundations
Add schema.org markup (Product or SoftwareApplication, FAQPage, Organization). Submit your site to Bing Webmaster Tools. Restructure your top 5 pages with answer-first formatting (1-3 sentences leading with the value proposition, marketing copy after).
Week 3: Create Citation-Worthy Content
Publish or update comparison pages, how-to guides, and FAQ content. Include first-party data — your own audits, your own customer outcomes — wherever possible. AI engines tend to prefer first-party data over aggregator content (qualitative observation from our 4 published audits, not measured magnitude).
Week 4: Set Up Monitoring
You cannot improve what you do not measure. Set up some way to track whether AI engines are citing your content. Manual spot-checks across the 6 engines weekly is a reasonable starting point. As you accumulate data, you can decide whether to invest in dedicated monitoring tools (most charge $99-$5,000+/month — start with manual tracking until the volume justifies the spend).
The Cost of Waiting
Every month your SaaS is invisible to AI engines is a month competitors are accumulating citation share against you. AI engines tend to weight what is already being said about a product — being cited reinforces being cited. Starting now is materially cheaper than starting later.
What We Removed From the Earlier Version
An earlier version of this post contained claims we could not source or that referenced retired products. In the spirit of integrity, here is what we removed:
- Specific "AI-powered search tools handle an estimated 10-15% of informational queries in the tech/software category" — fabricated stat with no traceable source.
- Specific "Perplexity reports over 100 million monthly queries" — Perplexity has shared various query volume figures over time but we did not link to a specific dated disclosure.
- Unsupported claim "Users who discover tools through AI search convert at higher rates" — this may be true but we do not have a controlled study to support it.
- Unsupported claim "Most SaaS companies have zero strategy for AI visibility, creating an opportunity for early movers" — directionally plausible but we have no measurement.
If you spot a remaining claim that lacks a source, email don@eurekanav.com — we will provide one or correct the claim within 24 hours.
Sources & references
Each external claim in this post links to a primary source. Where we cite our own observations, we disclose sample size (currently n=4 published audit teardowns plus broader audit work). For methodology details and our 6-engine scoring approach, see eurekanav.com/methodology.
If you spot a claim in this post that you cannot trace to a source above or to our methodology, email don@eurekanav.com — we will provide one or correct the claim within 24 hours.
