DeepSmith

Jul 26 · Tools & Comparisons

17 min read

Best Tools to Optimize for Google AI Overviews

Avinash Saurabh
Avinash Saurabh · CO-Founder & CEO
Monochrome abstract-geometric cover showing an AI answer capsule assembled from stacked content cards via thin connecting lines, with the centered white cover line 'Optimize for AI Overviews'.

You searched one of your buyer's questions last week, and there it was: an AI Overview sitting at the top of the results, answering from someone else's page. Your content still ranks. It just does not get the click anymore.

If that stings, you are not behind. This shift is new for everyone, and the fix is smaller than it feels. You do not need to rebuild your whole site. You need a tool that changes the page itself, so it earns a spot inside that answer.

That is the line this guide walks. Plenty of platforms tell you whether you show up in AI answers. Far fewer help you optimize for AI Overviews by actually editing structure, adding schema, or writing the passage Google can lift. This roundup is about the second kind: the AI Overview SEO tools that do the work on the page, not just the ones that watch it.

Here is how each tool earned its place. It had to (1) produce concrete on-page or content changes you can ship, (2) aim those changes at the structure, semantics, or schema that AI Overviews pull from, and (3) be a real product you can buy in 2026, not a beta or a waitlist. Measurement-only trackers sat this one out. They answer "are we showing up?" but not "what do we change?" If tracking is what you need, we have a separate roundup of AI citation tracking tools for that job.

One more promise before the list. No tool here can guarantee a citation. Google decides what to pull. What these tools do is make your page the easiest, clearest, most trustworthy answer on the page, which is how you rank in Google AI Overviews without gaming anything.

The five tools at a glance

#ToolBest forEntry priceAI Overview stanceHonest limit
1DeepSmithOne tool for AI search visibility plus publish-ready production$99/mo (Pro), 7-day free trialNative AEO formatting in every article; tracking rises by tierTop-tier price is more than a solo writer needs; all-engine coverage sits on higher tiers
2Surfer SEOSERP-driven editors who want AI Tracker on a mature optimizer$49/mo annual (Discovery)Strong on-page scoring; AI Tracker added September 2025AI Tracker is new; manual prompt input; no direction on what to change
3FraseSolo creators and agencies who want a briefs-plus-GEO-Score loop$39/mo annual (Starter)GEO Score, a 0 to 100 read on AI citation readinessFeature gating by tier; score tilts to AI search broadly, not AIO only
4Adobe LLM OptimizerEnterprises that want AI agents to auto-fix FAQs, summaries, schemaPrompt-based annual license, minimum 1,000 promptsAuto-optimizes FAQs, summaries, transcripts, schema on a live siteEnterprise-only, opaque pricing; geared to site fixes over article drafts
5NeuronWriterBudget-conscious writers and small agencies wanting NLP on-page optimization$23/mo (Bronze)NLP recommendations against top SERP competitors, internal linkingNo dedicated AI Overview tracker; lower tiers cap analyses

Read the table top to bottom and you will notice something. These tools do not all do the same job. Some write, some score, some auto-edit your live site. That is good news, because it means the right pick depends on your situation, not on which brand shouts loudest. We will get to a plain "how to choose" at the end.

What Google AI Overviews actually reward

Before the tools, a quick grounding on what it actually takes to optimize for AI Overviews. It will make every feature below make more sense, and it is the part most roundups skip.

Google has been unusually direct here. Its own developer guidance says optimizing for generative AI search is optimizing for the search experience, and that is still SEO. There is no secret markup. Google says it ignores llms.txt files and other special AI-only files, and it warns against the hacks: chopping content into tiny fragments, rewriting pages only for machines, and chasing inauthentic mentions. Those do not help. Some break spam policy.

So what does move the needle? A handful of page-level levers decide whether you rank in Google AI Overviews, and every tool in this list targets at least one of them:

  • People-first content with a real point of view. Google says citation is hardest for content that could be easily produced by AI. This is the single biggest differentiator.
  • Answer-first structure. Put a direct 40 to 60 word answer near the top of each section. Moz's research found statistical and quoted content is statistically more likely to appear in AI outputs.
  • Clear, question-based headings that match how buyers ask.
  • Named statistics, with source, organization, and date. "Significant growth" carries no signal. A cited percentage does.
  • Comparison tables and lists where they fit. They are easier to extract than dense paragraphs.
  • Structured data (FAQPage, HowTo, Article, Organization, Person, Product). Industry sources report pages with schema get cited roughly two to three times more often. Treat that as a multiplier, not a promise.
  • Topical authority through clusters: a pillar plus supporting pages, linked together.
  • Author credibility signals: named authors, credentials, visible publish and update dates.

The reason tracking-only tools got cut is right here. They cannot add an FAQ, restructure a heading, insert an internal link, or write a draft. They tell you the score. They cannot change it. Every tool below can. If you want the full breakdown of why ranking pages still miss AI citations, we go deep on it separately.

1. DeepSmith

Best for: marketing leads and content teams who want AI search visibility and a publish-ready production pipeline inside one tool, instead of stitching a tracker to a writer to a CMS.

Most of the pain in AI search is not knowing. It is the gap between knowing and doing. You see a competitor cited on a prompt you should own, and then you still have to research, brief, write, optimize, link, and publish the page that wins it back. That is where the week goes.

DeepSmith closes that gap by putting three loops on the same data. It tracks how AI engines answer the questions that matter in your space, showing mention rate, citation rate, and share of voice with trends, a per-platform view, and a competitor leaderboard. It tells you which of your pages AI actually cites and which prompts drive them. Then Content Studio turns any idea into a finished, brand-grounded article with AEO formatting, internal linking, and metadata built in during creation, not bolted on after. That last part matters, because the answer-first structure and question-based headings AI Overviews reward are baked into the draft, not a cleanup task you do later.

A few pieces are worth calling out for this job specifically. The Writer researches, links internally and externally, and adds a cover image and publish-ready metadata in one pass. Autowrite takes an idea you configured at planning time and writes it on its scheduled date into Produced Content, so the pipeline keeps moving on busy weeks. And Deep IQ stores your positioning, products, personas, brand voice, and content types as structured context, so every draft sounds like you and talks about your real product. That is what kills the "reads like every other AI article" problem Google penalizes.

When a page is ready, you publish straight to WordPress, Webflow, Strapi, Sanity, or Contentful, with Markdown and HTML export as a fallback. Every finished article also ships with social posts already written, so distribution stops falling off the end of the week.

Pricing: Pro is $99/mo, Grow $199/mo, Scale $399/mo, and Enterprise is custom, with roughly a 20% discount on annual billing ($80, $160, $299 effective monthly). A 7-day free trial gives you real data and real drafts before you pay, with no long-term contracts. Engine coverage rises by tier: Pro tracks ChatGPT, Grow adds Perplexity, Scale adds Gemini, and Enterprise covers all five (adding Claude and Google AI Mode).

Honest limitation: tracking is tiered. If you want ChatGPT, Perplexity, Gemini, Claude, and Google AI Mode in one workspace from day one, you need Scale or Enterprise, so a solo writer who only wants an on-page score will find the top tiers priced past their needs. And this is a production engine, not a hands-off magic button. Output is publish-ready, but a human still owns the final review before it goes live.

Teams feel the shift once it is running. As Aparna K, GTM Lead at Skooc, put it: "Went from four articles a month to fifteen with the same two people."

Choose DeepSmith when you want one tool that finds the prompts where competitors get cited instead of you, then produces the publish-ready article that earns the citation back, all on the same data. Start on Pro to validate, move to Grow the day Perplexity matters as much as ChatGPT, and step up to Scale when Gemini has to be a first-class citizen too.

2. Surfer SEO

Best for: SERP-driven editors and SEO teams who already trust Surfer's content scoring and want AI Tracker layered onto the workflow they know.

If your team already lives inside Surfer, this is the low-friction path. The Content Editor scores your draft against the current top-ranking pages, recommends term coverage, and runs a one-click optimization pass. Its Topical Map helps you plan a cluster from a seed keyword, and the SERP Analyzer lays ranking pages side by side by structure, headings, and length. All of that feeds the answer-first, well-structured page AI Overviews prefer.

The newer piece is AI Tracker, shipped in September 2025. It tracks how often your brand and pages show up in AI-generated answers, with weekly refresh on Standard and daily from Pro upward. You also get one-click internal linking on higher tiers, a content audit that flags pages where rank has slipped, and brand workspaces for keeping context tidy.

Pricing (billed annually): Discovery $49/mo, Standard $99/mo, Pro $182/mo, Peace of Mind $299/mo, and Enterprise $999/mo. AI Tracker starts on Standard (25 prompts, weekly refresh) and opens up to daily refresh and more prompts as you climb. A free tier exists behind signup.

Honest limitation: the AI Tracker is young, and independent reviews note manual prompt input and limited coverage. More to the point for this list, Surfer tells you what is happening but not which on-page change will fix it. The Content Editor optimizes what you write; it does not write the article. Plan to pair it with a writer.

Choose Surfer when your whole workflow already runs on Surfer's SERP-driven editor and you want AI Overview visibility bolted on, not a replacement. Standard is the entry point for AI Tracker; Pro adds daily refresh and internal linking.

3. Frase

Best for: solo creators, agencies, and lean content teams who want SERP-grade briefs plus a purpose-built readiness score in one loop.

Frase runs the full research-to-optimize loop. It builds topic clusters and SERP-based briefs, drafts from those briefs with a brand-voice AI agent, then scores the result. The standout for this list is the GEO Score: a 0 to 100 read on how ready a page is to be cited by AI search engines. It grades the page on the signals that matter here, including direct answers, sourced statistics, schema, structure, and authority. There is even a free public GEO Score Checker you can use to self-audit before you commit.

Content Guard watches specific pages over time and flags drift, and Frase connects to Google Search Console, WordPress, and its own FraseCMS for publishing.

Pricing: Starter $39/mo, Professional $103/mo, and Scale $239/mo on annual billing, plus custom Enterprise. A 7-day trial with no credit card runs on the Professional feature set, capped at 5 articles and 25 AI prompts, with auto-publish turned off during the trial.

Honest limitation: serious volume pushes you to Professional or Scale quickly, and Starter's caps are tight. The GEO Score also leans toward AI search generally rather than Google AI Overviews specifically, so treat it as a strong proxy, not a guarantee of inclusion.

Choose Frase when you want a citation-readiness score to aim at and a clean brief-to-draft loop, without the overhead of a full production engine. Professional is the sweet spot for most solo creators and agencies.

4. Adobe LLM Optimizer

Best for: enterprise brands already on Adobe's stack that want AI agents to actively rewrite site FAQs, summaries, and schema, not just score pages.

This one plays a different game. Instead of handing you a document to edit, Adobe LLM Optimizer runs dashboards (Brand Presence, Agentic Traffic, Referral Traffic, URL Inspector) and surfaces an Opportunities queue of fixes its agents can apply for you. The list is concrete: add LLM-friendly summaries, add relevant FAQs, add multimedia transcript summaries, add a table of contents, simplify complex content, enrich product detail pages, and clean up schema and crawlability. Those map almost one-to-one onto the levers we covered earlier.

It also reports brand visibility scores, share of voice, and competitive gaps, and it is powered by Semrush data. Integrations run deep into the enterprise: Adobe Analytics, Google Analytics, major CDN edges, plus Agent2Agent and Model Context Protocol for interop.

Pricing: prompt-based, on an annual contract. The minimum purchase is 1,000 prompts, sold in 200-prompt increments, analyzed daily and compiled into weekly trends. Specific dollar prices per tier are not published; you get a custom quote.

Honest limitation: the enterprise gating and annual minimum make it expensive unless you already run on Adobe. And the auto-optimize mode targets site-level technical and structured-data fixes more than net-new article production, so if you need articles written, you still need a writing tool alongside it.

Choose Adobe LLM Optimizer when you have a large existing site, an enterprise budget, a developer team ready to act on the Opportunities queue, and you want AI agents rather than human editors applying the changes.

5. NeuronWriter

Best for: solo writers and small agencies who want budget-friendly, NLP-first on-page optimization without giving up SERP-grade recommendations.

NeuronWriter is the value pick. It runs NLP content recommendations against the top competitor pages for your target query, includes a content designer and writer, suggests internal links as part of the optimization step, and handles basic team and project management. For getting a single page structured and covered well against the SERP, it does the core job at a fraction of the price.

Pricing: five tiers, from Bronze at $23/mo up to Diamond at $117/mo, with roughly 20% off on annual billing. A lifetime license has appeared periodically via AppSumo.

Honest limitation: there is no dedicated AI Overview visibility tracker here; the focus is on-page NLP scoring, not prompt-level visibility. Lower tiers also cap the number of analyses, so anyone scaling past a few clients a month will outgrow Bronze fast.

Choose NeuronWriter when budget is the binding constraint and SERP-driven on-page optimization matters more to you than AIO visibility tracking. Gold at $69/mo is the typical mid-tier pick for small agencies.

A few honorable mentions

These are real tools buyers compare against the five above, left off the main list because AI Overview on-page optimization is not their central product, their pricing is hard to compare head-to-head, or their focus sits on AI Mode and ChatGPT rather than AI Overview inclusion.

MarketMuse leads with patented topic modeling and content briefs, though its numeric pricing is surfaced only on a demo. Clearscope offers AI-powered content reports and a Content Inventory, sold on a report-credit model. WriterZen covers topic discovery, clustering, and briefs at published monthly prices. And SE Ranking now bundles an AI Overviews Tracker alongside ChatGPT and AI Mode trackers, with a 14-day free trial, if a broader tracking layer is what you are after.

How to choose without overthinking it

Feeling the pull to just pick the biggest name? Resist it for one more minute. The honest answer depends on your situation, and being clear about yours saves you a failed rollout later.

Pick DeepSmith when you want one tool for visibility tracking and publish-ready production on the same data, publishing through a CMS like WordPress, Webflow, Strapi, Sanity, or Contentful. Start at Pro to validate, move to Grow when Perplexity matters as much as ChatGPT, and jump to Scale when Gemini has to count too.

Pick Surfer SEO when your team already works inside Surfer's SERP-driven editor and you want AI Tracker layered on rather than a new system to learn.

Pick Frase when you want an AIO-oriented readiness score to coach toward and a lightweight brief-to-draft loop, without a full production pipeline.

Pick Adobe LLM Optimizer when you are an enterprise already on Adobe Analytics, your site is large, and you are comfortable letting AI agents make FAQ, summary, and schema changes automatically.

Pick NeuronWriter when price is the dominant variable and prompt-level AIO visibility is not a must-have.

Notice that four of these five are the better call for a specific team. That is the point. The best tool is the one that fits how you already work and where you want to grow, not the one with the longest feature list.

Try DeepSmith free

If the part that keeps stalling you is the doing (the research, the answer-first drafts, the internal links, the schema, the publish), that is exactly the gap DeepSmith was built to close. You can see your real AI search gaps and generate real, publish-ready drafts before you pay anything.

Start a 7-day free trial and produce your first optimized piece this week. One page at a time. Momentum matters more than perfection.

Frequently asked questions

What is the difference between AEO and AIO?

AEO (Answer Engine Optimization) is the broad discipline of optimizing for any AI answer surface: ChatGPT, Gemini, Perplexity, Claude, AI Mode, and AI Overviews. AIO (AI Overview optimization) is narrower, targeting inclusion in Google AI Overviews specifically. The underlying work is the same structure, semantics, and schema. AIO just scopes it to the one surface.

Do I need schema markup to get cited in AI Overviews?

Google's own guidance says structured data is not required for inclusion, and there is no special schema you must add. That said, industry observation is that pages with FAQPage and HowTo schema get cited at noticeably higher rates. The honest framing: schema is a multiplier, not a magic key.

Will an AIO tool guarantee my page gets cited?

No, and be wary of any tool that implies it will. Every tool here produces the on-page and content changes that make inclusion more likely. None of them control Google's ranking or citation choices. Track your progress, but do not promise outcomes.

Are these the same as SGE optimization tools?

Mostly, yes. SGE (Search Generative Experience) was Google's earlier name for the feature that became AI Overviews, so tools once described as SGE optimization tools and today's AI Overview SEO tools are working the same surface. The playbook did not change: answer-first structure, sourced statistics, clean schema, and genuinely useful content.