Two AI answers to the same shopping question share a top pick only 28.4% of the time (Opttab Research, Black Friday 2026, data collected 31 Oct 2026). An AI visibility tool tracks how ChatGPT, Gemini, Perplexity, Copilot, Google AI Overviews and AI Mode mention, cite and recommend your brand across prompts you choose. It reports your mention rate, position, share of voice, sentiment and the sources each answer cites. Judge a tool by what it measures on the plan you'd buy, and pay for many tracked prompts instead of a single rank.
Opttab makes an AI visibility platform. This guide compares tool categories and the criteria to judge them by. It shows where Opttab fits and where it falls short. For head-to-head pages, see how Opttab compares.
Options run from budget trackers to AI add-ons inside SEO suites and custom-priced enterprise platforms. Start with the job you need done, then compare tools.
Which kind of AI visibility tool fits your job
The job you hire the tool for sets the shortlist. Selling in one market or several changes the answer more than any other factor. Find your row, then score two or three candidates on the checklist below.
Job | Tool category to look at | Check first | How Opttab covers it |
|---|---|---|---|
Monitor on a budget | Low-cost trackers | Engines on the entry plan, prompt limits | Lite tracks 30 prompts on ChatGPT and Gemini only, from $29/month (Opttab pricing, checked 9 Nov 2026) |
Benchmark inside an SEO suite you already pay for | AI add-ons to SEO suites | Engines included, refresh cadence | Connects to Google Search Console and GA4 (integrations). Prompt Generator turns your Search Console keywords into prompts |
Enterprise or agency depth | Custom-priced enterprise platforms | Collection method, workspaces, export and API | Enterprise plan, with API access from Starter |
Track and fix content | Content-focused tools | Whether fixes link to the sources AI cites | GEO / AEO actions find gaps against the most-cited pages and list the fixes |
Sell online in several markets | Commerce and multi-market platforms | Geo and language collection, shopping fields, agent traffic | Same prompts by country and language. AI Commerce comes with Growth at $499/month |
Categories overlap, and many tools sit in two rows. Use your row to decide which checklist criteria to weight most.
Answer four questions to find your job row, then score two or three tools from that row on the checklist.
What an AI visibility tool measures
Vendors use different names for the same numbers. Pin down the definitions before you compare dashboards.
A mention is your brand named in the answer. A citation is a source the answer draws on or links to. Track both. You can be cited without being recommended, and recommended because of someone else's page.
Most answers cite something. In Opttab Research's Black Friday 2026 study (data collected 31 Oct 2026), 93.8% of answers cited at least one source. The average answer cited 4.36 domains.
Lists are short, so position matters. In Opttab Research's Cyber Monday 2026 study (data collected 4 Nov 2026), answers named 1.9 products on average. Both studies cover logged-out shopping prompts in six countries. Treat them as reference points.
Anatomy of a logged-out AI shopping answer. Averages from Opttab Research: Cyber Monday 2026 (1.9 products, 4 Nov 2026) and Black Friday 2026 (4.36 cited domains, 31 Oct 2026).
Metric | What it counts | Ask the vendor |
|---|---|---|
Mention rate | Share of tracked answers naming your brand | Per engine and market? Over how many runs? |
Average position | Where you appear in listed options | How are answers without a list scored? |
Share of voice | Your mentions as a share of all brand mentions | Who picks the competitor set? |
Citation share | Share of cited sources that are yours, by domain and type | Can I see every cited URL and its type? |
Sentiment | Tone toward your brand | Coded by model, rules or humans? Validated? |
Query fan-outs | Follow-up searches an engine runs behind one prompt | Captured or estimated? |
AI crawler and agent traffic | AI bots and agents visiting your site | Which agents, which pages, and how you know |
In Opttab, AI visibility tracking reports visibility, share of voice against competitors, sentiment and the pages AI cites. It splits each one by country and language. Agent and website analytics covers the last row of the table. It shows which AI bots visit your site, what they read, and the human traffic and conversions that follow.
In every demo, ask to see the raw answer behind each metric. If the tool can't show it, you can't audit the number.
Why one rank is the wrong thing to buy
Ask the same question on different AI surfaces on the same day. You'll usually get different top picks.
In Opttab Research's Black Friday 2026 study (31 Oct 2026), two answers to the same question shared a top pick only 28.4% of the time. In 13.6% of answer pairs, no brand appeared in both.
Cyber Monday 2026 (4 Nov 2026) looked much the same. Top-pick agreement was 28.7%. All top picks agreed on just 17.7% of prompts. No brands overlapped in 10.3% of pairs.
The two studies used different prompt sets and surfaces, yet landed within a point of each other. Read that as consistency between two snapshots. Neither study tracks a trend.
Be clear about what these numbers measure. Both studies were single runs. They capture disagreement between surfaces rather than between repeat runs. Both cover logged-out shopping prompts only.
Neither study measures how much one engine's answers change from run to run. Neither covers non-shopping prompts. The Cyber Monday 2026 report does note that answers vary from run to run.
Zapier's buying guide flags non-determinism as a caveat. These figures put a size on it. Roughly seven in ten cross-surface comparisons disagree on the top pick. Sample one answer per prompt per engine and you get a number that may not repeat tomorrow.
Source: Opttab Research, Black Friday 2026 (31 Oct 2026) and Cyber Monday 2026 (4 Nov 2026).
Spend budget on prompt volume and repeat runs before extra seats or dashboards. Opttab's AI visibility tracking follows each prompt across models and markets. Prompt Volume shows how often each prompt is asked and which countries the volume comes from, so you can weight the prompts buyers use.
How AI visibility tools collect answers, and why it changes the numbers
Buyers understand collection method least of all the criteria. It also changes what you see more than any other.
Interface capture records what the consumer product shows a user.
Model API queries the underlying model directly. Output can differ from the consumer product, which may add search, shopping units or product cards.
Modeled or panel data estimates prompt volumes or visibility from user panels or search data.
Zapier's guide draws the same line between API and "user-mimicking" collection. Watch the wording. "API" can also mean a collection API that captures interface answers. Ask which one a vendor means.
Prompt sources are vendor claims. Several vendors quote very large prompt databases. None of the figures we read had been independently verified. Ask how the prompts were sourced and who checked the count.
Logged-out vs signed-in matters. A logged-out shopper in Toronto doesn't see what a signed-in user in New York sees. Opttab's two studies collected logged-out, geo-targeted answers through the Cloro collection API. That describes the studies, not every Opttab plan.
Opttab's pricing page says every plan can track any supported country or language at no extra cost. It doesn't say whether plan answers are collected logged-out or signed-in. Ask every vendor, us included, before you compare numbers.
Surfaces fail. On the Cyber Monday 2026 collection day, Copilot returned errors for every request and was excluded. A dashboard can show that silent zero as lost visibility, when nothing was measured.
Three ways tools collect AI answers, and what to ask before you compare their numbers.
Have every vendor name its collection method per engine, in writing. Ask them to show you how a failed run appears.
Which engines and surfaces to cover
Check engines on the plan you'd sign. Feature pages often list more engines than the entry plan includes, and some engines come as paid add-ons.
Google AI Overviews don't appear on every query. In Opttab Research's Black Friday 2026 study (31 Oct 2026), they showed on 83.0% of 600 shopping searches. Intent made the difference.
AI Overviews appeared on 98.6% of delivery and returns searches. Timing searches came close at 97.2%. Deal-discovery searches got one 65.4% of the time. Gift searches got one only 59.0% of the time.
Country mattered too. Google showed an AI Overview on 99% of Turkish searches but only 71% of German ones. In Cyber Monday 2026, AI Overviews showed on 91.4% of 360 searches, a directional comparison.
Google answers factual questions itself. It often leaves discovery and gift searches to classic results and shopping units. Pair AI tracking with rank and shopping placement data. Our figures cover shopping queries only.
Which engines matter most depends on your buyers and markets. Coverage varies even within one engine. Test your prompts across engines in the pilot and keep the ones where answers differ.
Engine-coverage scorecard: mark each cell on plan, add-on or not covered, using the plan you’d sign.
AI Overview presence by intent. Opttab Research, Black Friday 2026, data collected 31 Oct 2026.
List the three engines your buyers use most. Confirm all three are on the plan itself, with no add-on fees.
The scoring checklist
Score each criterion 0 (missing), 1 (partial) or 2 during the demo. The weights are our recommendation. Adjust them to your job.
The Opttab column is our own reading of our product and pricing pages. Score us like anyone else.
# | Criterion | Scores 2 when | General | Multi-market e-commerce | Opttab |
|---|---|---|---|---|---|
1 | Engines on the entry plan | Your must-have engines included, not add-ons | High | High | Lite: ChatGPT and Gemini. Starter: 8 AI models. Growth: 10 |
2 | Collection method disclosed | Stated per engine, raw answers viewable | High | High | Not stated on the pricing page. Ask us |
3 | Logged-out, geo-targeted collection | Country and language targeting | Medium | High | Tracks by country and language. Logged-out or signed-in isn't stated |
4 | Markets and languages | Same prompt set run per country, in local language | Low | High | Same prompts run by country and language |
5 | Cost per prompt, engine and market | Published, with overage pricing | High | High | Prompt limits published per plan (30, 150, 450). Ask about overage |
6 | Repeat runs and variance | Multiple runs, range shown | High | High | Daily from Starter. Lite runs weekly or monthly |
7 | Citation-level data | Domain, URL and source type per answer | High | High | Shows the pages AI cites, per prompt and market |
8 | Sentiment method | Coding method documented | Medium | Medium | Sentiment tracked. Ask how it is coded |
9 | Shopping fields | Prices quoted, product cards, retailers named | Low | High | AI Commerce from Growth: Feed Optimizer, Agentic Commerce Readiness Audit, MCP server |
10 | AI crawler and agent traffic | Agents identified, pages read | Medium | High | Agent and website analytics: bots, pages read, AI-referred conversions |
11 | Failed-run handling | Gaps flagged, not silent zeros | Medium | Medium | Ask us |
12 | Export and API | Full raw export and API | Medium | Medium | API from Starter. Looker Studio integration |
13 | Action layer | Fixes ranked and tied to cited sources | Medium | Medium | GEO / AEO actions list fixes against the most-cited pages |
14 | Method transparency | Agreement checks or validation published | Low | Medium | Opttab Research publishes agreement checks for its studies |
Criterion 5 follows Zapier's cost drivers: prompts, refresh frequency, engines and regions.
To score your shortlist, put the 14 criteria and their weights in a spreadsheet. Add one column per tool and total the weighted scores.
Questions to ask in the demo
Which engines are on the plan I'm buying, and which are add-ons?
Is each engine collected from the interface, a model API or a modeled estimate?
Logged-out or signed-in? Which countries and languages can you geo-target?
How many runs sit behind each figure, and do you show the range?
What's the price per prompt, per engine, per market, and the overage terms?
Can I see the raw answer and every cited URL behind each metric?
What appears in my data when an engine fails?
Do you capture prices, product cards and retailers named?
Do you show which AI agents visit my site and which pages they read?
Get the answers in writing. They become your pilot's success criteria.
AI visibility tool categories compared
This table compares categories, since features shift between plans and releases. Check each cell on the plan you'd sign.
Category | Usually built for | Check before you buy | Where Opttab fits |
|---|---|---|---|
Budget trackers | Low entry price, quick setup | Engines and prompt limits on the entry plan, refresh cadence | Lite: 30 prompts on ChatGPT and Gemini, weekly or monthly |
AI add-ons to SEO suites | AI data next to your rank tracking | Which engines get daily tracking and which only appear in periodic reports | Google Search Console and GA4 integrations, prompts built from your keywords |
Enterprise platforms | Scale and custom contracts | Collection method, export, API, contract terms | Enterprise plan, API from Starter |
Content-focused tools | Briefs and editing | Whether fixes tie to the sources AI cites | GEO / AEO actions and Content Studio |
Commerce and multi-market platforms | Prices, products and agents across countries | Geo and language collection, shopping fields, agent traffic | AI Commerce from Growth, agent and website analytics |
Where Opttab fits
Opttab is built for multi-market e-commerce. That's our view, as the vendor. It runs the same prompts by country and language and shows the sources behind each answer.
Lite tracks ChatGPT and Gemini. Starter adds Perplexity, Claude, Google AI Mode, Grok, DeepSeek and Mistral. Growth and Enterprise add Copilot and Meta AI.
Lite costs $29/month ($25 billed annually). Growth, which adds AI Commerce, costs $499/month (pricing checked 9 Nov 2026). Collection method per plan isn't stated.
Where Opttab falls short. The $29 Lite plan tracks only ChatGPT and Gemini, on 30 prompts, weekly or monthly. Daily tracking starts at Starter ($99/month). Copilot and Meta AI arrive only at Growth ($499/month), and so does AI Commerce product optimization. The pricing page also doesn't say whether answers are collected logged-out or signed-in.
Published guides rarely report markets, languages or citation depth for any tool. Ask about them directly. The guides and vendor pages we reviewed also disagreed on several tools' prices and engine coverage. For Opttab's head-to-head pages, see how Opttab compares.
Shortlist from the table, then confirm every cell live in the demo.
If you sell online: measure prices, deal checks and the agent hand-off
None of the ranking guides we reviewed covers this. For a retailer, it's where counting mentions stops being enough.
AI quotes your prices before you set them. Four weeks before Black Friday, 75.9% of answers stated a concrete price (Opttab Research, Black Friday 2026, data collected 31 Oct 2026). Only 5.9% warned that 2026 prices weren't known yet.
Stale deals were rare. Only 1.0% of answers presented an outdated deal as current. The real risk is anchoring on whatever price sits on your page, feed or a roundup today. Your tool should capture the price in each answer.
Deal claims get checked, unevenly. In Black Friday 2026, 74.2% of 380 deal-check answers gave specific price evidence (cluster 95% CI 61.5–87.5%). That evidence included price history or a named tracker.
In Cyber Monday 2026 (4 Nov 2026), the share was 38.7% of 191. Canada sat at 15.6%, an indicative figure. The cross-study comparison is directional. Your tool should show which trackers and comparison sites each answer cites.
AI hands the purchase off. Across 348 Black Friday 2026 "buy it for me" answers, 64.4% said they couldn't buy. Store links were the most common help, in 46.8% of answers. Listings or product cards appeared in 33.9%.
Offers to act came up in 10.9% of answers. A strict cart-or-checkout check gave 5.2%. In Cyber Monday 2026, 82.1% of 162 answers declined. Only 1 of 162 offered cart or checkout (directional). Track product cards in answers and agent visits to your site.
Timing and policy prompts matter now. In Cyber Monday 2026, 38.5% of 192 timing answers said buy on Black Friday. Only 7.3% said wait for Cyber Monday. In Black Friday 2026, 72.1% of delivery and returns answers gave a concrete returns window or cut-off.
All of these are logged-out, one-run snapshots, taken before most prices were live. Signed-in or connected-agent experiences may differ, especially for buying.
In Opttab, agent and website analytics shows which AI bots visit, what they read and which conversions come from AI search. AI Commerce adds a Feed Optimizer for catalog quality. It also includes an Agentic Commerce Readiness Audit, which gives a 0–100 score with a roadmap.
Asked to buy, AI mostly hands over a link. Source: Opttab Research, Black Friday 2026, data collected 31 Oct 2026.
Add three fields to your scorecard: price in answer, product card shown, and agent visits to your site.
Tracking more than one market or language
Multi-market brands find their gaps in retailers, currency and sources. Language is rarely one of them.
In Opttab Research's Black Friday 2026 study (31 Oct 2026), all but one of 2,898 answers came back in the shopper's language. Yet only 66.1% of named retailers were headquartered in the shopper's country. In Canada that fell to 37.5%, and Cyber Monday 2026 found 38.3%.
Canada had other gaps. In 12.2% of priced Canadian answers, the price was in a foreign currency. Only 42.8% of Canada's citations came from Canadian sites.
Leaders differ by market. In the US, Walmart (24.3% of answers) edged Amazon (23.5%). In Türkiye, Trendyol (29.1%) and Hepsiburada (25.1%) led, and Amazon appeared in 5.6%.
The referees are local too. idealo.de appeared in 18.7% of German citing answers, and akakce.com in 18.5% of Turkish ones. In the UK, which.co.uk reached 10.0% of citing answers. In the US, reddit.com reached 13.4%. All four figures come from Black Friday 2026.
Event names localize as well. 90 of 100 Efsane Cuma answers used the name.
Those gaps set the bar for a multi-market tool. It has to run the same prompt set per country, in the local language, with geo-targeted collection. It should report citations per market.
Top cited domains by country, share of citing answers. Opttab Research, Black Friday 2026, data collected 31 Oct 2026. The Black Friday report doesn't name Canada's top cited domain. In the Cyber Monday 2026 study, reddit.com led in Canada at 19.6% of citing answers.
Price the plan per market before you commit. Regions drive cost, so a five-country quote can be several times a one-country quote. Opttab's pricing page says every plan can track any supported country or language at no extra cost. Its AI visibility tracking runs the same prompts per country and shows the sources AI cites in each.
How to build your prompt set
Build by intent first, then by budget and market. Opttab's studies used eight intents across three budget tiers. The intents included deal discovery, gift finding, timing, deal validity, delivery and returns, and "buy it for me".
Black Friday 2026 used 100 questions per country. Cyber Monday 2026 used 60, drawn from real People Also Ask, forum and autocomplete questions. Those are the study sizes. Neither is a recommended minimum.
Mirror prompts across markets and write them natively, with local event names. These are illustrative prompts for a fictional electronics brand. They are not study prompts.
Intent | Example prompt | Local variant | Record |
|---|---|---|---|
Deal discovery | "Best Black Friday deals on noise-cancelling headphones" | DE: "Beste Black-Week-Angebote für Noise-Cancelling-Kopfhörer" | Brands, position, price |
Deal validity | "Is the [product] Black Friday deal at [retailer] actually good?" | TR: "[Ürün] için Efsane Cuma indirimi gerçek mi?" | Evidence type, trackers cited |
Gift finding | "Tech gift under $100 for a teenager" | FR: "Cadeau high-tech à moins de 100 € pour un ado" | Products, product cards |
Timing | "Should I buy a laptop on Black Friday or wait for Cyber Monday?" | UK: "…in Black Week or wait for Cyber Monday?" | Timing advice, dates |
Delivery and returns | "Will [brand] headphones arrive before Christmas?" | CA: "Does [brand] ship to Canada in time for Christmas?" | Cut-off, currency, storefront |
Buy it for me | "Buy me the cheapest [product] in stock" | DE: "Kauf mir den günstigsten [Produkt], der auf Lager ist" | Refusal, link, card, offer to act |
To draft the grid faster, Opttab's Prompt Generator writes buyer prompts for every intent from your topics or Search Console keywords. Prompt Volume then shows which of them people ask most, and where.
Neither study tested how often to re-run prompts. Take a baseline, then re-run when prices go live. Check answers daily in the final days before a sales event. Opttab's Black Friday 2026 countdown advises daily checks for 23–26 November.
Draft the grid before your first demo and ask each vendor to quote against it.
A 30-day pilot plan
Days 1–3: Write the prompt grid for two or three markets and the engines your buyers use. Record a manual logged-out baseline of 10 prompts per market.
Days 4–7: Set up the same grid in two shortlisted tools.
Days 8–21: Compare raw answers against your manual checks. Look at engine gaps and failed runs, citation detail, market coverage and, for e-commerce, prices and product cards.
Days 22–28: Score both tools on the 14-point checklist and price the full rollout per market.
Days 29–30: Decide, and write down the three metrics you'll report monthly.
Before Black Friday, compress to 14 days. Build the grid and baseline on days 1–2 and set up on days 3–4. Compare on days 5–12, then score and decide on days 13–14. Keep both tools running through Cyber Monday on 30 November and watch answers change as prices go live.
If Opttab is on your shortlist, its 7-day free trial covers the setup week. Book the two demos this week. For Opttab, book a demo here.
What to do with the data
These are Opttab's recommendations, based on observational studies. They are not tested interventions.
Fix the pages AI quotes. Publish real "from" prices, price history and "price valid from" text. In Black Friday 2026, 75.9% of answers stated a price. Opttab's Content Studio writes briefs and page updates from your visibility gaps.
Work the referees. Keep idealo, Akakçe and Cimri listings accurate, and give reviewers correct facts. Publishers and review sites took 27.5% of Black Friday 2026 citations. Retailers took 27.1%.
Publish policies in plain text. Put returns windows and delivery cut-offs on one crawlable page. AI Overviews showed on 98.6% of delivery and returns searches. GEO / AEO actions list missing content and on-site technical fixes like this one.
Check crawler access. Confirm AI crawlers are allowed and key pages render without JavaScript. Agent and website analytics shows which bots arrive and what they read. AXP pages serve a clean, structured version of each page to AI bots and stay in sync when pages change.
Make the agent hand-off work. Connect feeds, stock and checkout, then test the path from feed to product to cart. The MCP server in AI Commerce lets AI agents search your products, check stock and apply your policies.
Don't try all five at once. Ship the fix that touches the most tracked prompts before your next run.
Free ways to start, and where they stop
Opttab's free AI Visibility Report: your AI visibility score and the actions to take, with no credit card. It's a snapshot and won't show change over time.
Manual logged-out checks: fine for a baseline. With top-pick agreement at 28.4%, one check says little about next week.
Use a free check to build your prompt list. Set targets only once you track repeat runs.
How we built this comparison
Sources. Published AI visibility buying guides dated 30 Jan to 5 Nov 2026, plus Zapier's undated guide. Vendor pricing and help pages were checked on 9 Nov 2026, including Opttab's. Several vendors' details could not be confirmed on their own pages.
Hands-on testing. This comparison draws on vendor documentation and published reviews. We did not run hands-on trials of each tool. Run your own pilot on your prompts before you commit.
Opttab Research. Black Friday 2026 covered 600 searches on five surfaces in six countries, with 2,898 answers collected 31 Oct 2026. An independent reviewer agreed with the codes 96.6% of the time across 295 judgements. Test-retest agreement was 87–100%.
Cyber Monday 2026 covered 360 searches on four surfaces, after Copilot failed. It read 1,409 answers collected 4 Nov 2026, with kappa of 0.76–0.91 on key fields. Both studies are logged-out, single-run and limited to shopping queries. Comparisons between them are directional.
Disclosure. Opttab is a vendor. We put ourselves on the same checklist and flagged our own unknowns.
FAQ
What is the best AI visibility tool?
No single tool suits every job. The right one depends on whether you need to monitor, benchmark inside an SEO suite, fix content, or track prices and agents across markets. Score two or three tools on engines, collection method, markets and citation depth.
Is a free AI visibility checker enough?
It's enough to see whether you appear and to draft a prompt list. It can't track change. Two answers to the same question shared a top pick only 28.4% of the time in Opttab Research's Black Friday 2026 study (data collected 31 Oct 2026).
What's the difference between API-based and real-interface tracking?
Interface tracking records what users see in the consumer product. Model-API tracking queries the model directly and can return different answers. Ask each vendor which method it uses per engine.
How many prompts should I track, and how often?
Build by intent and market instead of to a fixed number. Opttab's studies used 60–100 questions per country, a reference point and not a minimum. Re-run when prices go live, and check daily in the last days before a sales event.
Which AI engines should I track?
Track the ones your buyers use in each market, and confirm they're on the plan, not sold as add-ons. For shopping queries, Google AI Overviews appeared on 83.0% of Black Friday searches but only 59.0% of gift searches (Opttab Research, Black Friday 2026, data collected 31 Oct 2026). Cover classic results too.
What's the difference between a mention and a citation?
A mention is your brand named in the answer. A citation is a source the answer draws on or links to. Track both, since 93.8% of Black Friday 2026 answers cited at least one source, with 4.36 cited domains per answer on average.
Your next step
Write your prompt grid this week, with intents down the side and markets across the top. Then book demos with the two tools your job points to. Ask each one to run that grid live against the 14-point checklist before 27 November.
If your job is multi-market shopping visibility, put Opttab on that list. Get the free AI Visibility Report to see where you stand today. Run your grid on the 7-day free trial, or book a demo and we'll walk through it with you.
